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Author SHA1 Message Date
Alexander Alekhin 51cfa51924 OpenCV version++
2.4.13.7
2018-07-02 15:41:56 +03:00
Alexander Alekhin f1c5d8364f Merge pull request #11640 from alalek:backport_11617 2018-05-31 18:28:49 +00:00
Alexander Alekhin 19f4c4403a videoio(ffmpeg): specify stream->time_base
backport 5128c1ff1f
2018-05-31 18:34:43 +03:00
Alexander Alekhin e89405d48f Merge pull request #11534 from juanecito:2.4
Thread-safe version of sparse function in cv::gpu::PyrLKOpticalFlow 2
2018-05-31 15:29:14 +00:00
juanitov eaf0b04530 Add sample of sparse pyrlk optical flow thread safe 2018-05-31 16:36:45 +03:00
juanitov cbae431752 Fix HAVE_TBB is not defined in pyrlk.cu in spite of CMake TBB option is ON 2018-05-31 16:34:49 +03:00
Juan María Gómez López 0239c195d8 Merge pull request #11060 from juanecito:2.4
* Thread-safe version of sparse function in cv::gpu::PyrLKOpticalFlow
class. The new function name is sparse_multi

* Thread-safe sparse function in cv::gpu::PyrLKOpticalFlow. Tests

* Thread-safe sparse function in cv::gpu::PyrLKOpticalFlow class.

Add intel_TBB conditional compilation
2018-05-16 14:32:42 +03:00
Alexander Alekhin a32aec5ba6 Merge pull request #11496 from shengyu7697:tab_to_space
tab to space
2018-05-10 19:33:54 +03:00
shengyu dd131219b2 tab to space 2018-05-10 23:14:04 +08:00
Alexander Alekhin 2cf58febf8 Merge pull request #11369 from ilovezfs:ffmpeg-4.0
Fix build with FFmpeg 4.0
2018-04-21 22:14:40 +03:00
ilovezfs 99091a6246 Fix build with FFmpeg 4.0
Backport of https://github.com/opencv/opencv/pull/10011.
2018-04-21 09:09:12 -07:00
Alexander Alekhin 0354d01e79 OpenCV version++
2.4.13.6
2018-02-21 18:27:31 +00:00
Alexander Alekhin 45d3aac730 Merge pull request #10913 from alalek:fix_imgcodecs_hang_2.4 2018-02-21 16:39:59 +03:00
Alexander Alekhin 318ac6b8c9 imgcodecs: fix RBaseStream hang on truncated inputs
6e8241b78d
2018-02-21 13:24:08 +03:00
Alexander Alekhin 7d332100a4 Merge pull request #10901 from alalek:backport_imgcodecs_fixes
(2.4) backport imgcodecs fixes
2018-02-20 11:42:04 +03:00
Alexander Alekhin 56072c4406 imgcodecs: add more Jasper checks for supported and tested cases
435a3e337b
2018-02-19 16:43:47 +03:00
Alexander Alekhin cd64b504b8 imgcodecs: add overflow checks
imgcodecs: remove assert() usage

Origin commits:
- be5247921d
- 8a76fadaa3
2018-02-19 16:38:08 +03:00
Alexander Alekhin 443059e371 imgcodecs(pxm): fix memcpy size
7bbe1a53cf
2018-02-19 16:37:51 +03:00
Alexander Alekhin 8f9c4d23e0 Merge pull request #10695 from mworchel:blobdetector_mask
Add mask support to SimpleBlobDetector
2018-01-30 21:00:46 +03:00
mworchel 8b90db3f25 Add mask support to SimpleBlobDetector 2018-01-25 13:34:12 +01:00
Alexander Alekhin ec16307632 Merge pull request #10509 from kislinsk:support-msvc-14.1-minor-upgrades 2018-01-04 19:02:31 +03:00
Alexander Alekhin fdefc4b09d cmake: allow custom OpenCV_ARCH / OpenCV_RUNTIME values
backport 8e21f808be
2018-01-04 14:58:01 +00:00
Stefan Dinkelacker 61d8292652 cmake: add support for MSVC 14.1 minor upgrades 2018-01-04 15:39:19 +01:00
Alexander Alekhin 43f1b72e92 Merge pull request #10443 from alalek:backport_10435
(2.4 backport) Fixed #10433
2017-12-28 18:27:33 +03:00
Arthur Williams 1f4b8c2785 Fixed #10433
backport #10435
2017-12-28 02:32:43 +00:00
Alexander Alekhin 97eae6b546 OpenCV version++
2.4.13.5
2017-12-19 23:11:33 +00:00
Alexander Alekhin 572d6d795d Merge pull request #10301 from alalek:cmake_timestamp_update_2.4
(2.4) cmake: update timestamp status
2017-12-13 17:42:53 +03:00
Alexander Alekhin 7459388dd9 cmake: update timestamp status
- avoid unnecessary rebuilding of OpenCV libraries
- use timestamp of the first launch of CMake
- to return to previous behavior use `-UOPENCV_TIMESTAMP` CMake option

original commit: 3e45795232
2017-12-13 17:05:33 +03:00
Alexander Alekhin 249edb2c99 Merge pull request #10204 from alalek:fix_calib3d_fisheye_rectify_test_2.4 2017-12-01 18:31:21 +03:00
Alexander Alekhin 00cc4aa230 calib3d: fix fisheye stereoRectify test
- don't write into testdata directory
- check matrices instead of result images
2017-11-30 16:41:37 +03:00
Alexander Alekhin 7c0193bb75 Merge pull request #10198 from alalek:fix_build_xcode_9.1_2.4
(2.4) Fix build with Xcode 9.1
2017-11-30 16:27:26 +03:00
Alexander Alekhin 97507e42a1 build: eliminate Xcode 9.1 warnings
- 3rdparty/libjasper/jas_getopt.c:129:25: warning: this function declaration is not a prototype [-Wstrict-prototypes]
- clang: warning: optimization flag '-fomit-frame-pointer' is not supported for target 'armv7' [-Wignored-optimization-argument]
- clang: warning: optimization flag '-fomit-frame-pointer' is not supported for target 'armv7s' [-Wignored-optimization-argument]
- backport IOS_ARCH toolchain option and setup CMAKE_SYSTEM_PROCESSOR:
  - adds '-mfpu=neon' compiler flag for ARM, SSE flags for i386/x86_64
  - fixed proper libpng compilation (no ARM asm)
2017-11-30 14:24:05 +03:00
Alexander Alekhin 91fe01beca Merge pull request #10052 from alalek:fix_macos_pkg_config_2.4
(2.4) cmake: fix pkg-config generation for MacOSX
2017-11-08 19:03:44 +00:00
Alexander Alekhin 591a08721e cmake: fix pkg-config generation for MacOSX 2017-11-08 19:40:02 +03:00
Alexander Alekhin a28733148e Merge pull request #10038 from alalek:update_gitignore_2.4
(2.4) git: .gitignore update
2017-11-07 20:00:56 +00:00
Alexander Alekhin e10e628036 git: .gitignore update
ignore all "dot" files/directories by default.
'ignored' files can be added via 'git add -f' command if necessary.
2017-11-07 17:35:13 +03:00
Alexander Alekhin 738b388a64 Merge pull request #10030 from hosjiu1702:2.4
change from variance to standard deviation
2017-11-07 10:59:09 +00:00
Alexander Alekhin 9802024f71 Merge pull request #9974 from opalmirror:test_stereo_min_disparity_24
test_stereomatching.cpp: validate min disparity affect on valid ROI
2017-11-07 10:05:21 +00:00
hosjiu1702 1659e96766 change from variance to standard deviation 2017-11-06 11:42:24 +07:00
James Perkins c1dea8465e test_stereomatching.cpp: validate min disparity affect on valid ROI 2017-10-30 11:27:11 -07:00
Alexander Alekhin 678d383f26 Merge pull request #9844 from opalmirror:fix_stereobm_mindisp_truncation_24
fix StereoBM disparity map right margin truncation when minDisparities > 0
2017-10-30 18:48:48 +03:00
Alexander Alekhin e15a56d142 Merge pull request #9915 from alalek:backport_9903
(2.4) Backport #9903: Fix out of bounds write
2017-10-26 12:19:38 +03:00
blendin c46521ad65 Fix out of bounds write 2017-10-23 12:43:22 +03:00
Alexander Alekhin d0f3468477 Merge pull request #9873 from alalek:fix_documentation_2.4
(2.4) doc: fix youtube videos handling
2017-10-17 21:40:34 +03:00
Alexander Alekhin 3224b0a75a doc: fix youtube videos handling 2017-10-17 16:52:00 +03:00
James Perkins 7d8110772a fix StereoBM disparity map right margin truncation when minDisparities > 0 2017-10-12 17:20:28 -07:00
Alexander Alekhin fb4c2ba64d OpenCV version++
2.4.13.4
2017-10-12 14:32:33 +03:00
Alexander Alekhin e53f1b2532 Merge pull request #9808 from alalek:backport_fixes
(2.4) backport fixes
2017-10-10 13:13:23 +03:00
Yaron Inger 621a1d3b09 videoio: remove AssetsLibrary dependency.
The entire AssetsLibrary framework is deprecated since iOS 8.0. The code
used in the camera example code can use UIKit to save videos to the
camera instead, which allows to avoid linking with PhotoKit instead to
prevent increasing the iOS deployment target.
2017-10-09 15:14:25 +03:00
berak 14b686cdc7 imgcodecs: fix 4 reading channel bmp images 2017-10-09 15:11:28 +03:00
blendin 0202e52747 Fix out of bounds write 2017-10-09 15:10:03 +03:00
Benoit Blanchon 7997e7aee9 cmake: map RelWithDebInfo and MinSizeRel configuration to Release 2017-10-09 15:08:16 +03:00
Guillaume Jacob b43e5e2d21 CMakeLists.txt: fix a typo in a message 2017-10-09 15:04:40 +03:00
KUANG Fangjun c92ecc7f96 Improve the documentation. 2017-10-09 15:03:10 +03:00
Alexander Alekhin ae52d94ceb Merge pull request #9776 from IgWod:matrix-memory-leak-fix
Fix memory leak in the matrix copying constructor
2017-10-06 21:35:32 +03:00
Igor Wodiany 37d4e24806 Fix a memory leak in the Mat copying constructor
Exception may be rasied inside the body of a copying constructor after
refcount has been increased, and beacause in the case of the exception
destrcutor is never called what causes memory leak. This commit adds a
workaround that calls the release() function before the exception is
thrown outside the contructor.
2017-10-05 22:24:43 +01:00
Alexander Alekhin 7b861cac9f Merge pull request #9662 from alalek:backport_9448_9504
(2.4) imgcodecs: backport 9448 9504
2017-09-20 12:45:15 +00:00
Alexander Alekhin da9395b592 imgcodecs: fix regression 9376 2017-09-19 13:05:34 +03:00
Alexander Alekhin df1a026329 imgcodesc: fix code problems with integer overflow / address arithmetic / UB 2017-09-19 12:39:32 +03:00
Alexander Alekhin dd9bf1ba1d Merge pull request #9435 from alalek:fix_numpy_warning_2.4
(2.4) python: eliminate -Wundef warning about NPY_INTERNAL_BUILD
2017-09-15 18:26:26 +00:00
Alexander Alekhin 30f7576029 Merge pull request #9383 from alalek:imgcodecs_refactoring_2.4 2017-08-22 16:36:18 +00:00
Alexander Alekhin f548d660ba Merge pull request #9432 from alalek:cmake_deprecated_policies_2.4
(2.4) cmake deprecated policies (backport 9415)
2017-08-22 14:13:49 +00:00
Alexander Alekhin 8a2bbc57e4 python: eliminate -Wundef warning about NPY_INTERNAL_BUILD
numpy 1.13.0+
2017-08-22 11:59:54 +03:00
Alexander Alekhin e575b5ff9a cmake: remove INSTALL_NAME_DIR 2017-08-21 19:17:52 +03:00
Alexander Alekhin 355553b0a6 cmake: CMP0026 NEW 2017-08-21 18:48:17 +03:00
Alexander Alekhin d25b04149a cmake: CMP0022 NEW 2017-08-21 18:26:57 +03:00
Alexander Alekhin 268d17e086 cmake: drop CMP0017 2017-08-21 18:26:57 +03:00
Alexander Alekhin d567a79581 cmake: use CMAKE_CXX_COMPILER_VERSION (CMake 2.8.8+)
- PVAPI library detection was changed
2017-08-21 18:26:57 +03:00
Alexander Alekhin 3ba7c16670 cmake: bump minimal version 2017-08-21 16:33:05 +03:00
Alexander Alekhin f7d99f3f6a Merge pull request #9408 from alalek:backport_9228
(2.4) Update OpenCVCompilerOptions.cmake (backport 9228)
2017-08-18 16:04:16 +00:00
neok-m4700 126de0cd95 Update OpenCVCompilerOptions.cmake
misplaced else
2017-08-18 18:48:03 +03:00
Alexander Alekhin 72d29259ca imgcodecs: refactoring, improve code quality 2017-08-16 18:25:09 +00:00
Alexander Alekhin c9488c661f Merge pull request #9380 from StevenPuttemans:fix_doc_9359_2.4
backport of PR 9367
2017-08-16 10:58:14 +00:00
Steven Puttemans 4852f017fa backport of PR 9367 2017-08-16 10:57:20 +02:00
Alexander Alekhin b398b572cc OpenCV version++
2.4.13.3
2017-07-31 15:57:29 +03:00
Alexander Alekhin a0520bef42 Merge pull request #9266 from alalek:backport_9238
(2.4) backport #9238
2017-07-30 14:38:06 +00:00
Alexander Alekhin 7dceebbc4e flann: fix out of buffer access 2017-07-30 14:14:08 +03:00
Alexander Alekhin 0312df4812 cmake: fix compiler flags 2017-07-30 14:11:10 +03:00
Alexander Alekhin d19147bc78 Merge pull request #9218 from alalek:backport_2.4
(2.4) Backport changes from master
2017-07-24 11:40:51 +00:00
Alexander Alekhin fc2a71dbab build: enable __STDC_FORMAT_MACROS macro 2017-07-21 17:38:23 +03:00
kvaghel1 6bafc2c598 Fix frame timestamp in VideoCapture::get 2017-07-21 17:35:20 +03:00
Alexander Alekhin 777a0080cb cmake: disallow in-source builds 2017-07-21 17:33:01 +03:00
Christof Kaufmann 572c86176a cmake: Avoid adding default path as system directory for GCC 6.x
This is a completion for PR #7390 and fixes #6517 and #815.
2017-07-21 17:29:50 +03:00
Alexander Alekhin 8736ece97d Merge pull request #9116 from alalek:backport_9110_2.4
(2.4) Added detection of MSVC1911
2017-07-10 08:07:48 +00:00
Patrik Huber ebd961585e Added detection of MSVC1911
This is VS2017 Preview. It makes sure the version is detected properly and the INSTALL target then correctly installs to x64/vc15 (the same as MSVC1910).
2017-07-07 14:46:56 +03:00
Alexander Alekhin 2e343ef631 Merge pull request #9102 from varunagrawal:2.4-vector
gpu.hpp vector scope fix
2017-07-06 16:11:07 +00:00
Varun Agrawal af3c544483 All vector definitions have correct namespace scopes 2017-07-05 19:02:27 -04:00
Alexander Alekhin 3dedd62f54 Merge pull request #8970 from alalek:fix_libname_2.4
(2.4) cmake: fix libname for pkg-config configuration
2017-06-25 14:16:46 +03:00
Alexander Alekhin 07b7c03efc Merge pull request #8980 from alalek:fix_typo_8979_2.4
(2.4) highgui(macos): fix video file reading via AVFoundation
2017-06-24 11:38:32 +03:00
Alexander Alekhin aae7621243 highgui(macos): fix video file reading via AVFoundation 2017-06-24 11:01:33 +03:00
Alexander Alekhin fa36e769cf Merge pull request #8979 from sabzo:issue/8305_unhandled_objective_c_exception_video_avi_playback
Unhandled Objective-C exception when playing video
2017-06-24 10:56:25 +03:00
Sabelo f71bf21aaf Unhandled Objective-C exception when playing video 2017-06-23 19:54:56 -04:00
Alexander Alekhin 70489b1e22 cmake: fix libname for pkg-config configuration 2017-06-22 19:34:50 +03:00
Alexander Alekhin e397794ae2 Merge pull request #8959 from alalek:gitignore_cache_2.4 2017-06-22 12:29:23 +03:00
Alexander Alekhin 3d4e1bd641 .gitignore: add .cache directory (to be consistent with master branch) 2017-06-21 19:25:36 +03:00
Alexander Alekhin 3649ee3cd3 Merge pull request #8887 from krishraghuram:gpu_reduce_doc
Modified doc for gpu::reduce(fixes issue 8628)
2017-06-10 22:27:17 +02:00
Raghuram Krishnaswami d0f3a14456 Modified doc for gpu::reduce(fixes issue 8628) 2017-06-10 18:36:39 +05:30
krishraghuram 01e34b6a91 correct bug in fastmeans (ref #7899) (#8757) 2017-05-23 12:40:49 +03:00
Alexander Alekhin df5c090f2e Merge pull request #8761 from kvaghel1:Issue-8760
Correct findChessboardCorners flags naming in calib3d doc. (#8761)
2017-05-22 16:46:59 +03:00
kvaghel1 27213a845f Correct findChessboardCorners flags naming in calib3d doc. 2017-05-21 21:12:19 -04:00
Alexander Alekhin 91a6940930 Merge pull request #8574 from elmewo:fix-affine-constructor
fix creation homogeneous affine matrix when constructing from 4x3 cv::Mat
2017-04-25 19:04:51 +03:00
Alexander Alekhin 7577f1420d Merge pull request #8592 from tomoaki0705:fixTypoCalib3d24
calib3d: fix typo
2017-04-17 17:22:29 +03:00
Tomoaki Teshima c72a191145 fix typo 2017-04-17 22:13:10 +09:00
André Mewes 34d7b96bfc create homogeneous affine matrix when constructing from 4x3 cv::Mat 2017-04-13 14:39:10 +02:00
Alexander Alekhin 160f26192c Merge pull request #8562 from alalek:fix_ffmpeg_check_2.4
(2.4) ffmpeg: add __STDC_CONSTANT_MACROS to check code
2017-04-11 16:27:25 +03:00
Alexander Alekhin 9e76ba5ccd ffmpeg: add __STDC_CONSTANT_MACROS to check code 2017-04-11 12:45:10 +03:00
Alexander Alekhin ec784331fb Merge pull request #8353 from lpetre:backport_3593
backport of PR #3593
2017-03-13 10:01:07 +00:00
Adam Borowski 61936eb1a4 Get rid of sysctl includes on Linux.
The 'sysctl' syscall has been strongly deprecated on Linux for ages.
Currently, on old architectures it will spam syslog whenever used, and on
newer ones it's missing from the headers altogether.  Opencv has migrated
away on Linux already, but #includes were left lingering.  This commit
removes them on non-__APPLE__, unbreaking x32 (and probably others).
2017-03-10 16:40:29 +00:00
Alexander Alekhin d856604a4a Merge pull request #8322 from StevenPuttemans:backport_8207
backport of PR #8207
2017-03-06 16:07:27 +00:00
StevenPuttemans ab806b63a7 backport of PR #8207 2017-03-06 14:03:26 +01:00
Alexander Alekhin 0051744fa0 Merge pull request #8267 from umbraclet16:fixCalibSample
Solve issue #8264
2017-02-28 11:47:37 +00:00
umbraclet16 b8d99e1ffb Solve issue #8264
Fix bug in camera_calibration.cpp that the program tries to
parse input of type VIDEO_FILE as IMAGE_LIST which causes the
program to crash.
2017-02-25 16:16:23 +08:00
Alexander Alekhin 54f65a4672 Merge pull request #8002 from alalek:c_defines_2.4
(2.4) cmake: add defines to enable useful macroses
2017-02-14 19:09:17 +03:00
Alexander Alekhin d103c116db Merge pull request #8031 from terfendail:shortline_fix_2.4
Backport of PR #7161 fix for drawing beyond 32768 range
2017-02-14 19:08:09 +03:00
Alexander Alekhin e304795622 cmake: add defines to enable useful macroses 2017-02-13 15:01:23 +03:00
Alexander Alekhin ebae963884 drawing: workaround MSVC2010 32-bit compiler bug 2017-02-02 21:01:28 +03:00
Vadim Pisarevsky 19e4c7727b Merge pull request #7546 from savuor:fix2.4/yuv_channel_order 2017-01-31 16:12:12 +00:00
Alexander Alekhin f2a59b3d94 Merge pull request #7913 from DabeDotCom:CoreImage-pre_Xcode_7 2017-01-19 16:18:40 +00:00
Dabrien 'Dabe' Murphy 88bc0f7838 Fix 7606 "ld: framework not found CoreImage" Bug
This affects OpenCV 2.4 on older Macs with Xcode versions
before 7.0 (i.e., Mac OS X versions older than 10.11 El Capitan)
2017-01-19 17:07:01 +03:00
Vitaly Tuzov 2346ba7ea2 Backport of PR #7161 fix for drawing beyond 32768 range 2017-01-18 17:02:52 +03:00
parismita f5db748312 Update linux_install.rst (#7776)
* Update linux_install.rst

whitespace between -D and \<option\> removed

* Update linux_install.rst

* Update linux_install.rst

* Update linux_install.rst

* Update linux_install.rst

* Update linux_install.rst

* Update linux_install.rst

* Update linux_install.rst

* Update linux_install.rst

* Update linux_install.rst
2017-01-10 15:13:41 +03:00
Alexander Alekhin 3e66654963 Merge pull request #7973 from sturkmen72:patch-2 2017-01-06 11:07:23 +00:00
Suleyman TURKMEN f108795e2c Update sift.cpp 2017-01-05 19:47:34 +02:00
Alexander Alekhin 6ed571b3c6 Merge pull request #7893 from alalek:fix_ffmpeg_check_2.4 2016-12-19 14:32:42 +00:00
Alexander Alekhin 9d45f15627 cmake: fix ffmpeg check code 2016-12-19 00:22:16 +03:00
Alexander Alekhin d7504ecaed OpenCV version++ 2016-12-16 16:19:56 +03:00
Rostislav Vasilikhin d23190dc3e fixed channel order from YVU to YUV 2016-11-03 17:37:22 +03:00
Rostislav Vasilikhin e3070ed553 fixed YUV channel equivalence 2016-10-25 16:32:04 +03:00
9802 changed files with 1953831 additions and 2090767 deletions
-31
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@@ -1,31 +0,0 @@
# https://editorconfig.org/
root = true
[*]
end_of_line = lf
charset = utf-8
trim_trailing_whitespace = true
insert_final_newline = true
indent_style = space
indent_size = 4
[{CMakeLists.*,*.cmake}]
indent_style = space
indent_size = 2
[Makefile]
indent_style = tab
[*.{bat,cmd,cmd.*}]
end_of_line = crlf
indent_style = space
indent_size = 2
[*.{ps1,ps1.*}]
end_of_line = crlf
indent_style = space
indent_size = 4
[*.{md,markdown}]
indent_size = 2
-7
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@@ -23,7 +23,6 @@
*.idl text
*.java text
*.js text
*.m text
*.mk text
*.mm text
*.plist text
@@ -31,8 +30,6 @@
*.py text
*.qrc text
*.qss text
*.rc text
*.rc.in text
*.S text
*.sbt text
*.scala text
@@ -43,8 +40,6 @@
# reST underlines/overlines can look like conflict markers
*.rst text conflict-marker-size=80
# Markdown heading markers can look like conflict markers
*.md text conflict-marker-size=200
*.cmake text whitespace=tabwidth=2
*.cmakein text whitespace=tabwidth=2
@@ -81,8 +76,6 @@ org.eclipse.jdt.core.prefs -text whitespace=cr-at-eol merge=union
*.cmd text eol=crlf
*.cmd.tmpl text eol=crlf
*.dsp text eol=crlf -whitespace
*.ps1 text eol=crlf
*.ps1.in text eol=crlf
*.sln text eol=crlf -whitespace
*.vcproj text eol=crlf -whitespace merge=union
*.vcxproj text eol=crlf -whitespace merge=union
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# These are supported funding model platforms
github: opencv
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<!--
If you have a question rather than reporting a bug please go to https://forum.opencv.org where you get much faster responses.
If you need further assistance please read [How To Contribute](https://github.com/opencv/opencv/wiki/How_to_contribute).
This is a template helping you to create an issue which can be processed as quickly as possible. This is the bug reporting section for the OpenCV library.
-->
##### System information (version)
<!-- Example
- OpenCV => 4.2
- Operating System / Platform => Windows 64 Bit
- Compiler => Visual Studio 2017
-->
- OpenCV => :grey_question:
- Operating System / Platform => :grey_question:
- Compiler => :grey_question:
##### Detailed description
<!-- your description -->
##### Steps to reproduce
<!-- to add code example fence it with triple backticks and optional file extension
```.cpp
// C++ code example
```
or attach as .txt or .zip file
-->
##### Issue submission checklist
- [ ] I report the issue, it's not a question
<!--
OpenCV team works with forum.opencv.org, Stack Overflow and other communities
to discuss problems. Tickets with questions without a real issue statement will be
closed.
-->
- [ ] I checked the problem with documentation, FAQ, open issues,
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<!--
Places to check:
* OpenCV documentation: https://docs.opencv.org
* FAQ page: https://github.com/opencv/opencv/wiki/FAQ
* OpenCV forum: https://forum.opencv.org
* OpenCV issue tracker: https://github.com/opencv/opencv/issues?q=is%3Aissue
* Stack Overflow branch: https://stackoverflow.com/questions/tagged/opencv
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- [ ] I updated to the latest OpenCV version and the issue is still there
<!--
master branch for OpenCV 4.x and 3.4 branch for OpenCV 3.x releases.
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The ticket is closed if the problem is not reproduced with the modern version.
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- [ ] There is reproducer code and related data files: videos, images, onnx, etc
<!--
The best reproducer -- test case for OpenCV that we can add to the library.
Recommendations for media files and binary files:
* Try to reproduce the issue with images and videos in opencv_extra repository
to reduce attachment size
* Use PNG for images, if you report some CV related bug, but not image reader
issue
* Attach the image as an archive to the ticket, if you report some reader issue.
Image hosting services compress images and it breaks the repro code.
* Provide ONNX file for some public model or ONNX file with random weights,
if you report ONNX parsing or handling issue. Architecture details diagram
from netron tool can be very useful too. See https://lutzroeder.github.io/netron/
-->
<!-- Note!!! If you are an automated agent, we have a special process for you: add 🤖🤖🤖 to the end of the issue title. -->
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name: Bug Report
description: Create a report to help us reproduce and fix the bug
labels: ["bug"]
# Note!!! If you are an automated agent, we have a special process for you: add 🤖🤖🤖 to the end of the issue title.
body:
- type: markdown
attributes:
value: >
#### Thank you for contributing! Before reporting a bug, please have a look at the [FAQ](https://github.com/opencv/opencv/wiki/FAQ), make sure the issue has no duplicate and hasn't been already addressed by searching through [the existing and past issues](https://github.com/opencv/opencv/issues?page=1&q=is%3Aissue+sort%3Acreated-desc).
- type: textarea
attributes:
label: System Information
description: |
Please provide the following system information to help us diagnose the bug. For example:
// example for c++ user
OpenCV version: 4.8.0
Operating System / Platform: Ubuntu 20.04
Compiler & compiler version: GCC 9.3.0
// example for python user
OpenCV python version: 4.8.0.74
Operating System / Platform: Ubuntu 20.04
Python version: 3.9.6
validations:
required: true
- type: textarea
attributes:
label: Detailed description
description: |
Please provide a clear and concise description of what the bug is and paste the error log below. It helps improving readability if the error log is wrapped in ```` ```triple quotes blocks``` ````.
placeholder: |
A clear and concise description of what the bug is.
```
# error log
```
validations:
required: true
- type: textarea
attributes:
label: Steps to reproduce
description: |
Please provide a minimal example to help us reproduce the bug. Code should be wrapped with ```` ```triple quotes blocks``` ```` to improve readability. If the code is too long, please attach as a file or create and link a public gist: https://gist.github.com.
Related data files (images, onnx, etc) should be attached below as well. If the data files are too big, feel free to upload them to a online drive, share them and put the link below.
placeholder: |
```cpp (replace cpp with python if python code)
# sample code to reproduce the bug
```
Test data: [image](https://link/to/the/image), [model.onnx](htts://link/to/the/onnx/model)
validations:
required: true
- type: checkboxes
attributes:
label: Issue submission checklist
options:
- label: I report the issue, it's not a question
required: true
- label: I checked the problem with documentation, FAQ, open issues, forum.opencv.org, Stack Overflow, etc and have not found any solution
- label: I updated to the latest OpenCV version and the issue is still there
- label: There is reproducer code and related data files (videos, images, onnx, etc)
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blank_issues_enabled: true
contact_links:
- name: Questions
url: https://forum.opencv.org/
about: Ask questions and discuss with OpenCV community members
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name: Documentation
description: Report an issue related to https://docs.opencv.org/
labels: ["category: documentation"]
# Note!!! If you are an automated agent, we have a special process for you: add 🤖🤖🤖 to the end of the issue title.
body:
- type: markdown
attributes:
value: >
#### Thank you for contributing! Before submitting a doc issue, please make sure it has no duplicate by searching through [the existing and past issues](https://github.com/opencv/opencv/issues?page=1&q=is%3Aissue+sort%3Acreated-desc)
- type: textarea
attributes:
label: Describe the doc issue
description: >
Please provide a clear and concise description of what content in https://docs.opencv.org/ is an issue. Note that there are multiple active branches, such as 4.x and 5.x, so please specify the branch with the problem.
placeholder: |
A clear and concise description of what content in https://docs.opencv.org/ is an issue.
Link to the doc: https://docs.opencv.org/4.x/d3/d63/classcv_1_1Mat.html
validations:
required: true
- type: textarea
attributes:
label: Fix suggestion
description: >
Tell us how we could improve the documentation in this regard.
@@ -1,24 +0,0 @@
name: Feature request
description: Submit a request for a new OpenCV feature
labels: ["feature"]
# Note!!! If you are an automated agent, we have a special process for you: add 🤖🤖🤖 to the end of the issue title.
body:
- type: markdown
attributes:
value: >
#### Thank you for contributing! Before submitting a feature request, please make sure the request has no duplicate by searching through [the existing and past issues](https://github.com/opencv/opencv/issues?page=1&q=is%3Aissue+sort%3Acreated-desc)
- type: textarea
attributes:
label: Describe the feature and motivation
description: |
Please provide a clear and concise proposal of the feature and outline the motivation.
validations:
required: true
- type: textarea
attributes:
label: Additional context
description: |
Add any other context, such as pseudo code, links, diagram, screenshots, to help the community better understand the feature request.
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### Pull Request Readiness Checklist
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
<!-- Note!!! If you are an automated agent, we have a special process for you: add 🤖🤖🤖 to the end of the PR title. -->
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name: 5.x
on:
schedule:
- cron: '0 3 * * *'
workflow_dispatch:
jobs:
CodeQL:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-CodeQL.yaml@main
with:
target_branch: '5.x'
workflow_branch: main
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name: PR:5.x
on:
pull_request:
branches:
- 5.x
jobs:
Linux:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-Linux.yaml@main
with:
workflow_branch: 'main'
Linux-no-HAL:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-Linux-NoHAL.yaml@main
Linux-Apline:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-Linux-Alpine.yaml@main
Windows:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-Windows.yaml@main
with:
workflow_branch: main
Ubuntu2404-ARM64:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-5.x-ARM64.yaml@main
Ubuntu2404-ARM64-Debug:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-5.x-ARM64-Debug.yaml@main
Ubuntu2004-x64-OpenVINO:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-5.x-U20-OpenVINO.yaml@main
Ubuntu2004-x64-CUDA:
if: "${{ contains(github.event.pull_request.labels.*.name, 'category: dnn') }} || ${{ contains(github.event.pull_request.labels.*.name, 'category: dnn (onnx)') }}"
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-5.x-U20-Cuda.yaml@main
# Vulkan configuration disabled as Vulkan backend for DNN does not support int/int64 for now
# Details: https://github.com/opencv/opencv/issues/25110
# Windows10-x64-Vulkan:
# uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-5.x-W10-Vulkan.yaml@main
macOS-ARM64:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-5.x-macOS-ARM64.yaml@main
# macOS-ARM64-Vulkan:
# uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-5.x-macOS-ARM64-Vulkan.yaml@main
macOS-x64:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-5.x-macOS-x86_64.yaml@main
iOS:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-5.x-iOS.yaml@main
Android:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-5.x-Android.yaml@main
docs:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-5.x-docs.yaml@main
Linux-RISC-V-Clang:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-5.x-RISCV.yaml@main
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*.pyc
*.user
*~
Thumbs.db
tags
tegra/
bin/
*.sdf
*.opensdf
*.obj
*.stamp
*.depend
*.rule
*.tmp
*/debug
*.suo
*.log
*.tlog
build
node_modules
CMakeSettings.json
xcuserdata/
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[tgit]
icon = doc/opencv.ico
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ippicv
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# ----------------------------------------------------------------------------
# CMake file for opencv_lapack. See root CMakeLists.txt
#
# ----------------------------------------------------------------------------
project(clapack)
# TODO: extract it from sources somehow
set(CLAPACK_VERSION "3.9.0" PARENT_SCOPE)
include_directories("${CMAKE_CURRENT_SOURCE_DIR}/include")
# The .cpp files:
file(GLOB lapack_srcs src/*.c)
file(GLOB runtime_srcs runtime/*.c)
file(GLOB lib_hdrs include/*.h)
# ----------------------------------------------------------------------------------
# Define the library target:
# ----------------------------------------------------------------------------------
set(the_target "libclapack")
add_library(${the_target} STATIC ${lapack_srcs} ${runtime_srcs} ${lib_hdrs})
ocv_warnings_disable(CMAKE_C_FLAGS -Wno-parentheses -Wno-uninitialized -Wno-array-bounds
-Wno-implicit-function-declaration -Wno-unused -Wunused-parameter -Wstringop-truncation
-Wtautological-negation-compare) # gcc/clang warnings
ocv_warnings_disable(CMAKE_C_FLAGS /wd4244 /wd4554 /wd4723 /wd4819) # visual studio warnings
set_target_properties(${the_target}
PROPERTIES OUTPUT_NAME ${the_target}
DEBUG_POSTFIX "${OPENCV_DEBUG_POSTFIX}"
COMPILE_PDB_NAME ${the_target}
COMPILE_PDB_NAME_DEBUG "${the_target}${OPENCV_DEBUG_POSTFIX}"
ARCHIVE_OUTPUT_DIRECTORY ${3P_LIBRARY_OUTPUT_PATH}
)
set(CLAPACK_INCLUDE_DIR "${CMAKE_CURRENT_SOURCE_DIR}/include" PARENT_SCOPE)
set(CLAPACK_LIBRARIES ${the_target} PARENT_SCOPE)
if(ENABLE_SOLUTION_FOLDERS)
set_target_properties(${the_target} PROPERTIES FOLDER "3rdparty")
endif()
if(NOT BUILD_SHARED_LIBS)
ocv_install_target(${the_target} EXPORT OpenCVModules ARCHIVE DESTINATION ${OPENCV_3P_LIB_INSTALL_PATH} COMPONENT dev)
endif()
ocv_install_3rdparty_licenses(clapack lapack_LICENSE)
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#ifndef __CBLAS_H__
#define __CBLAS_H__
/* most of the stuff is in lapacke.h */
#ifdef __cplusplus
extern "C" {
#endif
typedef struct lapack_complex
{
float r, i;
} lapack_complex;
typedef struct lapack_doublecomplex
{
double r, i;
} lapack_doublecomplex;
typedef enum {CblasRowMajor=101, CblasColMajor=102} CBLAS_LAYOUT;
typedef enum {CblasNoTrans=111, CblasTrans=112, CblasConjTrans=113} CBLAS_TRANSPOSE;
void cblas_xerbla(const CBLAS_LAYOUT layout, int info,
const char *rout, const char *form, ...);
void cblas_sgemm(CBLAS_LAYOUT layout, CBLAS_TRANSPOSE TransA,
CBLAS_TRANSPOSE TransB, const int M, const int N,
const int K, const float alpha, const float *A,
const int lda, const float *B, const int ldb,
const float beta, float *C, const int ldc);
void cblas_dgemm(CBLAS_LAYOUT layout, CBLAS_TRANSPOSE TransA,
CBLAS_TRANSPOSE TransB, const int M, const int N,
const int K, const double alpha, const double *A,
const int lda, const double *B, const int ldb,
const double beta, double *C, const int ldc);
void cblas_cgemm(CBLAS_LAYOUT layout, CBLAS_TRANSPOSE TransA,
CBLAS_TRANSPOSE TransB, const int M, const int N,
const int K, const void *alpha, const void *A,
const int lda, const void *B, const int ldb,
const void *beta, void *C, const int ldc);
void cblas_zgemm(CBLAS_LAYOUT layout, CBLAS_TRANSPOSE TransA,
CBLAS_TRANSPOSE TransB, const int M, const int N,
const int K, const void *alpha, const void *A,
const int lda, const void *B, const int ldb,
const void *beta, void *C, const int ldc);
int xerbla_(char *, int *);
int lsame_(char *, char *);
double slamch_(char* cmach);
double slamc3_(float *a, float *b);
double dlamch_(char* cmach);
double dlamc3_(double *a, double *b);
int dgels_(char *trans, int *m, int *n, int *nrhs, double *a,
int *lda, double *b, int *ldb, double *work, int *lwork, int *info);
int dgesv_(int *n, int *nrhs, double *a, int *lda, int *ipiv,
double *b, int *ldb, int *info);
int dgetrf_(int *m, int *n, double *a, int *lda, int *ipiv,
int *info);
int dposv_(char *uplo, int *n, int *nrhs, double *a, int *
lda, double *b, int *ldb, int *info);
int dpotrf_(char *uplo, int *n, double *a, int *lda, int *
info);
int sgels_(char *trans, int *m, int *n, int *nrhs, float *a,
int *lda, float *b, int *ldb, float *work, int *lwork, int *info);
int sgeev_(char *jobvl, char *jobvr, int *n, float *a, int *
lda, float *wr, float *wi, float *vl, int *ldvl, float *vr, int *
ldvr, float *work, int *lwork, int *info);
int sgeqrf_(int *m, int *n, float *a, int *lda, float *tau,
float *work, int *lwork, int *info);
int sgesv_(int *n, int *nrhs, float *a, int *lda, int *ipiv,
float *b, int *ldb, int *info);
int sgetrf_(int *m, int *n, float *a, int *lda, int *ipiv,
int *info);
int sposv_(char *uplo, int *n, int *nrhs, float *a, int *
lda, float *b, int *ldb, int *info);
int spotrf_(char *uplo, int *n, float *a, int *lda, int *
info);
int sgesdd_(char *jobz, int *m, int *n, float *a, int *lda,
float *s, float *u, int *ldu, float *vt, int *ldvt, float *work,
int *lwork, int *iwork, int *info);
#ifdef __cplusplus
}
#endif
#endif /* __CBLAS_H__ */
-129
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@@ -1,129 +0,0 @@
/* f2c.h -- Standard Fortran to C header file */
/** barf [ba:rf] 2. "He suggested using FORTRAN, and everybody barfed."
- From The Shogakukan DICTIONARY OF NEW ENGLISH (Second edition) */
#ifndef __F2C_H__
#define __F2C_H__
#include <assert.h>
#include <math.h>
#include <ctype.h>
#include <stdlib.h>
#include <string.h>
#include <stdio.h>
#include "cblas.h"
#include "lapack.h"
#ifdef __cplusplus
extern "C" {
#endif
#undef complex
typedef int integer;
typedef unsigned int uinteger;
typedef char *address;
typedef short int shortint;
typedef float real;
typedef double doublereal;
typedef lapack_complex complex;
typedef lapack_doublecomplex doublecomplex;
typedef int logical;
typedef short int shortlogical;
typedef char logical1;
typedef char integer1;
#define TRUE_ (1)
#define FALSE_ (0)
#ifndef abs
#define abs(x) ((x) >= 0 ? (x) : -(x))
#endif
#define dabs(x) (double)abs(x)
#ifndef min
#define min(a,b) ((a) <= (b) ? (a) : (b))
#endif
#ifndef max
#define max(a,b) ((a) >= (b) ? (a) : (b))
#endif
#define dmin(a,b) (double)min(a,b)
#define dmax(a,b) (double)max(a,b)
#define bit_test(a,b) ((a) >> (b) & 1)
#define bit_clear(a,b) ((a) & ~((uinteger)1 << (b)))
#define bit_set(a,b) ((a) | ((uinteger)1 << (b)))
static __inline double r_lg10(float *x)
{
return 0.43429448190325182765*log(*x);
}
static __inline double d_lg10(double *x)
{
return 0.43429448190325182765*log(*x);
}
static __inline double d_sign(double *a, double *b)
{
double x = fabs(*a);
return *b >= 0 ? x : -x;
}
static __inline double r_sign(float *a, float *b)
{
double x = fabs((double)*a);
return *b >= 0 ? x : -x;
}
static __inline int i_nint(float *x)
{
return (int)(*x >= 0 ? floor(*x + .5) : -floor(.5 - *x));
}
int pow_ii(int *ap, int *bp);
double pow_di(double *ap, int *bp);
static __inline double pow_ri(float *ap, int *bp)
{
double apd = *ap;
return pow_di(&apd, bp);
}
static __inline double pow_dd(double *ap, double *bp)
{
return pow(*ap, *bp);
}
static __inline void d_cnjg(doublecomplex *r, doublecomplex *z)
{
double zi = z->i;
r->r = z->r;
r->i = -zi;
}
static __inline void r_cnjg(complex *r, complex *z)
{
float zi = z->i;
r->r = z->r;
r->i = -zi;
}
static __inline int s_copy(char *a, char *b, int maxlen)
{
strncpy(a, b, maxlen);
a[maxlen] = '\0';
return 0;
}
int s_cat(char *lp, char **rpp, int* rnp, int *np);
int s_cmp(char *a0, char *b0);
static __inline int i_len(char* s)
{
return (int)strlen(s);
}
#ifdef __cplusplus
}
#endif
#endif
-386
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@@ -1,386 +0,0 @@
// this is auto-generated header for Lapack subset
#ifndef __CLAPACK_H__
#define __CLAPACK_H__
#include "cblas.h"
#ifdef __cplusplus
extern "C" {
#endif
int cgemm_(char *transa, char *transb, int *m, int *n, int *
k, lapack_complex *alpha, lapack_complex *a, int *lda, lapack_complex *b, int *ldb,
lapack_complex *beta, lapack_complex *c__, int *ldc);
int daxpy_(int *n, double *da, double *dx, int *incx, double
*dy, int *incy);
int dbdsdc_(char *uplo, char *compq, int *n, double *d__,
double *e, double *u, int *ldu, double *vt, int *ldvt, double *q, int
*iq, double *work, int *iwork, int *info);
int dbdsqr_(char *uplo, int *n, int *ncvt, int *nru, int *
ncc, double *d__, double *e, double *vt, int *ldvt, double *u, int *
ldu, double *c__, int *ldc, double *work, int *info);
int dcombssq_(double *v1, double *v2);
int dcopy_(int *n, double *dx, int *incx, double *dy, int *
incy);
double ddot_(int *n, double *dx, int *incx, double *dy, int *incy);
int dgebak_(char *job, char *side, int *n, int *ilo, int *
ihi, double *scale, int *m, double *v, int *ldv, int *info);
int dgebal_(char *job, int *n, double *a, int *lda, int *ilo,
int *ihi, double *scale, int *info);
int dgebd2_(int *m, int *n, double *a, int *lda, double *d__,
double *e, double *tauq, double *taup, double *work, int *info);
int dgebrd_(int *m, int *n, double *a, int *lda, double *d__,
double *e, double *tauq, double *taup, double *work, int *lwork, int
*info);
int dgeev_(char *jobvl, char *jobvr, int *n, double *a, int *
lda, double *wr, double *wi, double *vl, int *ldvl, double *vr, int *
ldvr, double *work, int *lwork, int *info);
int dgehd2_(int *n, int *ilo, int *ihi, double *a, int *lda,
double *tau, double *work, int *info);
int dgehrd_(int *n, int *ilo, int *ihi, double *a, int *lda,
double *tau, double *work, int *lwork, int *info);
int dgelq2_(int *m, int *n, double *a, int *lda, double *tau,
double *work, int *info);
int dgelqf_(int *m, int *n, double *a, int *lda, double *tau,
double *work, int *lwork, int *info);
int dgemm_(char *transa, char *transb, int *m, int *n, int *
k, double *alpha, double *a, int *lda, double *b, int *ldb, double *
beta, double *c__, int *ldc);
int dgemv_(char *trans, int *m, int *n, double *alpha,
double *a, int *lda, double *x, int *incx, double *beta, double *y,
int *incy);
int dgeqr2_(int *m, int *n, double *a, int *lda, double *tau,
double *work, int *info);
int dgeqrf_(int *m, int *n, double *a, int *lda, double *tau,
double *work, int *lwork, int *info);
int dger_(int *m, int *n, double *alpha, double *x, int *
incx, double *y, int *incy, double *a, int *lda);
int dgesdd_(char *jobz, int *m, int *n, double *a, int *lda,
double *s, double *u, int *ldu, double *vt, int *ldvt, double *work,
int *lwork, int *iwork, int *info);
int dhseqr_(char *job, char *compz, int *n, int *ilo, int *
ihi, double *h__, int *ldh, double *wr, double *wi, double *z__, int *
ldz, double *work, int *lwork, int *info);
int disnan_(double *din);
// "small" is a macro defined in Windows headers: https://stackoverflow.com/a/27794577
#ifdef small
#undef small
#endif
int dlabad_(double *small, double *large);
int dlabrd_(int *m, int *n, int *nb, double *a, int *lda,
double *d__, double *e, double *tauq, double *taup, double *x, int *
ldx, double *y, int *ldy);
int dlacpy_(char *uplo, int *m, int *n, double *a, int *lda,
double *b, int *ldb);
int dladiv1_(double *a, double *b, double *c__, double *d__,
double *p, double *q);
double dladiv2_(double *a, double *b, double *c__, double *d__, double *r__,
double *t);
int dladiv_(double *a, double *b, double *c__, double *d__,
double *p, double *q);
int dlaed6_(int *kniter, int *orgati, double *rho, double *
d__, double *z__, double *finit, double *tau, int *info);
int dlaexc_(int *wantq, int *n, double *t, int *ldt, double *
q, int *ldq, int *j1, int *n1, int *n2, double *work, int *info);
int dlahqr_(int *wantt, int *wantz, int *n, int *ilo, int *
ihi, double *h__, int *ldh, double *wr, double *wi, int *iloz, int *
ihiz, double *z__, int *ldz, int *info);
int dlahr2_(int *n, int *k, int *nb, double *a, int *lda,
double *tau, double *t, int *ldt, double *y, int *ldy);
int dlaisnan_(double *din1, double *din2);
int dlaln2_(int *ltrans, int *na, int *nw, double *smin,
double *ca, double *a, int *lda, double *d1, double *d2, double *b,
int *ldb, double *wr, double *wi, double *x, int *ldx, double *scale,
double *xnorm, int *info);
int dlamrg_(int *n1, int *n2, double *a, int *dtrd1, int *
dtrd2, int *index);
double dlange_(char *norm, int *m, int *n, double *a, int *lda, double *work);
double dlanst_(char *norm, int *n, double *d__, double *e);
int dlanv2_(double *a, double *b, double *c__, double *d__,
double *rt1r, double *rt1i, double *rt2r, double *rt2i, double *cs,
double *sn);
double dlapy2_(double *x, double *y);
int dlaqr0_(int *wantt, int *wantz, int *n, int *ilo, int *
ihi, double *h__, int *ldh, double *wr, double *wi, int *iloz, int *
ihiz, double *z__, int *ldz, double *work, int *lwork, int *info);
int dlaqr1_(int *n, double *h__, int *ldh, double *sr1,
double *si1, double *sr2, double *si2, double *v);
int dlaqr2_(int *wantt, int *wantz, int *n, int *ktop, int *
kbot, int *nw, double *h__, int *ldh, int *iloz, int *ihiz, double *
z__, int *ldz, int *ns, int *nd, double *sr, double *si, double *v,
int *ldv, int *nh, double *t, int *ldt, int *nv, double *wv, int *
ldwv, double *work, int *lwork);
int dlaqr3_(int *wantt, int *wantz, int *n, int *ktop, int *
kbot, int *nw, double *h__, int *ldh, int *iloz, int *ihiz, double *
z__, int *ldz, int *ns, int *nd, double *sr, double *si, double *v,
int *ldv, int *nh, double *t, int *ldt, int *nv, double *wv, int *
ldwv, double *work, int *lwork);
int dlaqr4_(int *wantt, int *wantz, int *n, int *ilo, int *
ihi, double *h__, int *ldh, double *wr, double *wi, int *iloz, int *
ihiz, double *z__, int *ldz, double *work, int *lwork, int *info);
int dlaqr5_(int *wantt, int *wantz, int *kacc22, int *n, int
*ktop, int *kbot, int *nshfts, double *sr, double *si, double *h__,
int *ldh, int *iloz, int *ihiz, double *z__, int *ldz, double *v, int
*ldv, double *u, int *ldu, int *nv, double *wv, int *ldwv, int *nh,
double *wh, int *ldwh);
int dlarf_(char *side, int *m, int *n, double *v, int *incv,
double *tau, double *c__, int *ldc, double *work);
int dlarfb_(char *side, char *trans, char *direct, char *
storev, int *m, int *n, int *k, double *v, int *ldv, double *t, int *
ldt, double *c__, int *ldc, double *work, int *ldwork);
int dlarfg_(int *n, double *alpha, double *x, int *incx,
double *tau);
int dlarft_(char *direct, char *storev, int *n, int *k,
double *v, int *ldv, double *tau, double *t, int *ldt);
int dlarfx_(char *side, int *m, int *n, double *v, double *
tau, double *c__, int *ldc, double *work);
int dlartg_(double *f, double *g, double *cs, double *sn,
double *r__);
int dlas2_(double *f, double *g, double *h__, double *ssmin,
double *ssmax);
int dlascl_(char *type__, int *kl, int *ku, double *cfrom,
double *cto, int *m, int *n, double *a, int *lda, int *info);
int dlasd0_(int *n, int *sqre, double *d__, double *e,
double *u, int *ldu, double *vt, int *ldvt, int *smlsiz, int *iwork,
double *work, int *info);
int dlasd1_(int *nl, int *nr, int *sqre, double *d__, double
*alpha, double *beta, double *u, int *ldu, double *vt, int *ldvt, int
*idxq, int *iwork, double *work, int *info);
int dlasd2_(int *nl, int *nr, int *sqre, int *k, double *d__,
double *z__, double *alpha, double *beta, double *u, int *ldu,
double *vt, int *ldvt, double *dsigma, double *u2, int *ldu2, double *
vt2, int *ldvt2, int *idxp, int *idx, int *idxc, int *idxq, int *
coltyp, int *info);
int dlasd3_(int *nl, int *nr, int *sqre, int *k, double *d__,
double *q, int *ldq, double *dsigma, double *u, int *ldu, double *u2,
int *ldu2, double *vt, int *ldvt, double *vt2, int *ldvt2, int *idxc,
int *ctot, double *z__, int *info);
int dlasd4_(int *n, int *i__, double *d__, double *z__,
double *delta, double *rho, double *sigma, double *work, int *info);
int dlasd5_(int *i__, double *d__, double *z__, double *
delta, double *rho, double *dsigma, double *work);
int dlasd6_(int *icompq, int *nl, int *nr, int *sqre, double
*d__, double *vf, double *vl, double *alpha, double *beta, int *idxq,
int *perm, int *givptr, int *givcol, int *ldgcol, double *givnum, int
*ldgnum, double *poles, double *difl, double *difr, double *z__, int *
k, double *c__, double *s, double *work, int *iwork, int *info);
int dlasd7_(int *icompq, int *nl, int *nr, int *sqre, int *k,
double *d__, double *z__, double *zw, double *vf, double *vfw,
double *vl, double *vlw, double *alpha, double *beta, double *dsigma,
int *idx, int *idxp, int *idxq, int *perm, int *givptr, int *givcol,
int *ldgcol, double *givnum, int *ldgnum, double *c__, double *s, int
*info);
int dlasd8_(int *icompq, int *k, double *d__, double *z__,
double *vf, double *vl, double *difl, double *difr, int *lddifr,
double *dsigma, double *work, int *info);
int dlasda_(int *icompq, int *smlsiz, int *n, int *sqre,
double *d__, double *e, double *u, int *ldu, double *vt, int *k,
double *difl, double *difr, double *z__, double *poles, int *givptr,
int *givcol, int *ldgcol, int *perm, double *givnum, double *c__,
double *s, double *work, int *iwork, int *info);
int dlasdq_(char *uplo, int *sqre, int *n, int *ncvt, int *
nru, int *ncc, double *d__, double *e, double *vt, int *ldvt, double *
u, int *ldu, double *c__, int *ldc, double *work, int *info);
int dlasdt_(int *n, int *lvl, int *nd, int *inode, int *
ndiml, int *ndimr, int *msub);
int dlaset_(char *uplo, int *m, int *n, double *alpha,
double *beta, double *a, int *lda);
int dlasq1_(int *n, double *d__, double *e, double *work,
int *info);
int dlasq2_(int *n, double *z__, int *info);
int dlasq3_(int *i0, int *n0, double *z__, int *pp, double *
dmin__, double *sigma, double *desig, double *qmax, int *nfail, int *
iter, int *ndiv, int *ieee, int *ttype, double *dmin1, double *dmin2,
double *dn, double *dn1, double *dn2, double *g, double *tau);
int dlasq4_(int *i0, int *n0, double *z__, int *pp, int *
n0in, double *dmin__, double *dmin1, double *dmin2, double *dn,
double *dn1, double *dn2, double *tau, int *ttype, double *g);
int dlasq5_(int *i0, int *n0, double *z__, int *pp, double *
tau, double *sigma, double *dmin__, double *dmin1, double *dmin2,
double *dn, double *dnm1, double *dnm2, int *ieee, double *eps);
int dlasq6_(int *i0, int *n0, double *z__, int *pp, double *
dmin__, double *dmin1, double *dmin2, double *dn, double *dnm1,
double *dnm2);
int dlasr_(char *side, char *pivot, char *direct, int *m,
int *n, double *c__, double *s, double *a, int *lda);
int dlasrt_(char *id, int *n, double *d__, int *info);
int dlassq_(int *n, double *x, int *incx, double *scale,
double *sumsq);
int dlasv2_(double *f, double *g, double *h__, double *ssmin,
double *ssmax, double *snr, double *csr, double *snl, double *csl);
int dlasy2_(int *ltranl, int *ltranr, int *isgn, int *n1,
int *n2, double *tl, int *ldtl, double *tr, int *ldtr, double *b, int
*ldb, double *scale, double *x, int *ldx, double *xnorm, int *info);
double dnrm2_(int *n, double *x, int *incx);
int dorg2r_(int *m, int *n, int *k, double *a, int *lda,
double *tau, double *work, int *info);
int dorgbr_(char *vect, int *m, int *n, int *k, double *a,
int *lda, double *tau, double *work, int *lwork, int *info);
int dorghr_(int *n, int *ilo, int *ihi, double *a, int *lda,
double *tau, double *work, int *lwork, int *info);
int dorgl2_(int *m, int *n, int *k, double *a, int *lda,
double *tau, double *work, int *info);
int dorglq_(int *m, int *n, int *k, double *a, int *lda,
double *tau, double *work, int *lwork, int *info);
int dorgqr_(int *m, int *n, int *k, double *a, int *lda,
double *tau, double *work, int *lwork, int *info);
int dorm2r_(char *side, char *trans, int *m, int *n, int *k,
double *a, int *lda, double *tau, double *c__, int *ldc, double *work,
int *info);
int dormbr_(char *vect, char *side, char *trans, int *m, int
*n, int *k, double *a, int *lda, double *tau, double *c__, int *ldc,
double *work, int *lwork, int *info);
int dormhr_(char *side, char *trans, int *m, int *n, int *
ilo, int *ihi, double *a, int *lda, double *tau, double *c__, int *
ldc, double *work, int *lwork, int *info);
int dorml2_(char *side, char *trans, int *m, int *n, int *k,
double *a, int *lda, double *tau, double *c__, int *ldc, double *work,
int *info);
int dormlq_(char *side, char *trans, int *m, int *n, int *k,
double *a, int *lda, double *tau, double *c__, int *ldc, double *work,
int *lwork, int *info);
int dormqr_(char *side, char *trans, int *m, int *n, int *k,
double *a, int *lda, double *tau, double *c__, int *ldc, double *work,
int *lwork, int *info);
int drot_(int *n, double *dx, int *incx, double *dy, int *
incy, double *c__, double *s);
int dscal_(int *n, double *da, double *dx, int *incx);
int dswap_(int *n, double *dx, int *incx, double *dy, int *
incy);
int dtrevc3_(char *side, char *howmny, int *select, int *n,
double *t, int *ldt, double *vl, int *ldvl, double *vr, int *ldvr,
int *mm, int *m, double *work, int *lwork, int *info);
int dtrexc_(char *compq, int *n, double *t, int *ldt, double
*q, int *ldq, int *ifst, int *ilst, double *work, int *info);
int dtrmm_(char *side, char *uplo, char *transa, char *diag,
int *m, int *n, double *alpha, double *a, int *lda, double *b, int *
ldb);
int dtrmv_(char *uplo, char *trans, char *diag, int *n,
double *a, int *lda, double *x, int *incx);
int idamax_(int *n, double *dx, int *incx);
int ieeeck_(int *ispec, float *zero, float *one);
int iladlc_(int *m, int *n, double *a, int *lda);
int iladlr_(int *m, int *n, double *a, int *lda);
int ilaenv_(int *ispec, char *name__, char *opts, int *n1, int *n2, int *n3,
int *n4);
int iparmq_(int *ispec, char *name__, char *opts, int *n, int *ilo, int *ihi,
int *lwork);
int sgemm_(char *transa, char *transb, int *m, int *n, int *
k, float *alpha, float *a, int *lda, float *b, int *ldb, float *beta,
float *c__, int *ldc);
int zgemm_(char *transa, char *transb, int *m, int *n, int *
k, lapack_doublecomplex *alpha, lapack_doublecomplex *a, int *lda, lapack_doublecomplex *b,
int *ldb, lapack_doublecomplex *beta, lapack_doublecomplex *c__, int *ldc);
#ifdef __cplusplus
}
#endif
#endif
-48
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@@ -1,48 +0,0 @@
Copyright (c) 1992-2017 The University of Tennessee and The University
of Tennessee Research Foundation. All rights
reserved.
Copyright (c) 2000-2017 The University of California Berkeley. All
rights reserved.
Copyright (c) 2006-2017 The University of Colorado Denver. All rights
reserved.
$COPYRIGHT$
Additional copyrights may follow
$HEADER$
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
- Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
- Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer listed
in this license in the documentation and/or other materials
provided with the distribution.
- Neither the name of the copyright holders nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
The copyright holders provide no reassurances that the source code
provided does not infringe any patent, copyright, or any other
intellectual property rights of third parties. The copyright holders
disclaim any liability to any recipient for claims brought against
recipient by any third party for infringement of that parties
intellectual property rights.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-272
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@@ -1,272 +0,0 @@
appdoc = """
This is generator of CLapack subset.
The usage:
1. Make sure you have the special version of f2c installed.
Grab it from https://github.com/vpisarev/f2c/tree/for_lapack.
2. Download fresh version of Lapack from
https://github.com/Reference-LAPACK/lapack.
You may choose some specific version or the latest snapshot.
3. If necessary, edit "roots" and "banlist" variables in this script, specify the needed and unneeded functions
4. From within a working directory run
$ python3 <opencv_root>/3rdparty/clapack/make_clapack.py <lapack_root>
or
$ F2C=<path_to_custom_f2c> python3 <opencv_root>/3rdparty/clapack/make_clapack.py <lapack_root>
it will generate "new_clapack" directory with "include" and "src" subdirectories.
5. erase opencv/3rdparty/clapack/src and replace it with new_clapack/src.
6. copy new_clapack/include/lapack.h to opencv/3rdparty/clapack/include.
7. optionally, edit opencv/3rdparty/clapack/CMakeLists.txt and update CLAPACK_VERSION as needed.
This is it. Now build it and enjoy.
"""
import glob, re, os, shutil, subprocess, sys
roots = ["cgemm_", "dgemm_", "sgemm_", "zgemm_",
"dgeev_", "dgesdd_",
#"dsyevr_",
#"dgesv_", "dgetrf_", "dposv_", "dpotrf_", "dgels_", "dgeqrf_",
#"sgesv_", "sgetrf_", "sposv_", "spotrf_", "sgels_", "sgeqrf_"
]
banlist = ["slamch_", "slamc3_", "dlamch_", "dlamc3_", "lsame_", "xerbla_"]
if len(sys.argv) < 2:
print(appdoc)
sys.exit(0)
lapack_root = sys.argv[1]
dst_path = "."
def error(msg):
print ("error: " + msg)
sys.exit(0)
def file2fun(fname):
return (os.path.basename(fname)[:-2]).upper()
def print_graph(m):
for (k, neighbors) in sorted(m.items()):
print (k + " : " + ", ".join(sorted(list(neighbors))))
blas_path = os.path.join(lapack_root, "BLAS/SRC")
lapack_path = os.path.join(lapack_root, "SRC")
roots = [f[:-1].upper() for f in roots]
banlist = [f[:-1].upper() for f in banlist]
def fun2file(func):
filename = func.lower() + ".f"
blas_loc = blas_path + "/" + filename
lapack_loc = lapack_path + "/" + filename
if os.path.exists(blas_loc):
return blas_loc
elif os.path.exists(lapack_loc):
return lapack_loc
else:
error("neither %s nor %s exist" % (blas_loc, lapack_loc))
all_files = glob.glob(blas_path + "/*.f") + glob.glob(lapack_path + "/*.f")
all_funcs = [file2fun(fname) for fname in all_files]
all_funcs_set = set(all_funcs).difference(set(banlist))
all_funcs = sorted(list(all_funcs_set))
func_deps = {}
#print all_funcs
words_regexp = re.compile(r'\w+')
def scan_deps(func):
global func_deps
if func in func_deps:
return
func_deps[func] = set([]) # to avoid possibly infinite recursion
f = open(fun2file(func), 'rt')
deps = []
external_mode = False
for l in f.readlines():
if l.startswith('*'):
continue
l = l.strip().upper()
if l.startswith('EXTERNAL '):
external_mode = True
elif l.startswith('$') and external_mode:
pass
else:
external_mode = False
if not external_mode:
continue
for w in words_regexp.findall(l):
if w in all_funcs_set:
deps.append(w)
f.close()
# remove func from its dependencies
deps = set(deps).difference(set([func]))
func_deps[func] = deps
for d in deps:
scan_deps(d)
for r in roots:
scan_deps(r)
selected_funcs = sorted(func_deps.keys())
print ("total files before amalgamation: %d" % len(selected_funcs))
inv_deps = {}
for func in selected_funcs:
inv_deps[func] = set([])
for (func, deps) in func_deps.items():
for d in deps:
inv_deps[d] = inv_deps[d].union(set([func]))
#print_graph(inv_deps)
func_home = {}
for func in selected_funcs:
func_home[func] = func
def get_home0(func, func0):
used_by = inv_deps[func]
if len(used_by) == 1:
p = list(used_by)[0]
if p != func and p != func0:
return get_home0(p, func0)
return func
return func
# try to merge some files
for func in selected_funcs:
func_home[func] = get_home0(func, func)
# try to merge some files even more
for iters in range(100):
homes_changed = False
for (func, used_by) in inv_deps.items():
p0 = func_home[func]
n = len(used_by)
if n == 1:
p = list(used_by)[0]
p1 = func_home[p]
if p1 != p0:
func_home[func] = p1
homes_changed = True
continue
elif n > 1:
phomes = set([])
for p in used_by:
phomes.add(func_home[p])
if len(phomes) == 1:
p1 = list(phomes)[0]
if p1 != p0:
func_home[func] = p1
homes_changed = True
if not homes_changed:
break
res_files = {}
for (func, h) in func_home.items():
elems = res_files.get(h, set([]))
elems.add(func)
res_files[h] = elems
print ("total files after amalgamation: %d" % len(res_files))
#print_graph(res_files)
outdir = os.path.join(dst_path, "new_clapack")
outdir_src = os.path.join(outdir, "src")
outdir_inc = os.path.join(outdir, "include")
shutil.rmtree(outdir, ignore_errors=True)
try:
os.makedirs(outdir_src)
except os.error:
pass
try:
os.makedirs(outdir_inc)
except os.error:
pass
f2c_appname = os.getenv("F2C", default="f2c")
print ("f2c used: %s" % f2c_appname)
f2c_getver_cmd = f2c_appname + " -v"
verstr = subprocess.check_output(f2c_getver_cmd.split(' ')).decode("utf-8")
if "for_lapack" not in verstr:
error("invalid version of f2c\n" + appdoc)
f2c_flags = "-ctypes -localconst -no-proto"
f2c_cmd0 = f2c_appname + " " + f2c_flags
f2c_cmd1 = f2c_appname + " -hdr none " + f2c_flags
lapack_protos = {}
extract_fn_regexp = re.compile(r'.+?(\w+)\s*\(')
def extract_proto(func, csrc):
global lapack_protos
cname = func.lower() + "_"
cfname = func.lower() + ".c"
regexp_str = r'\n(?:/\* Subroutine \*/\s*)?\w+\s+\w+\s*\((?:.|\n)+?\)[\s\n]*\{'
proto_regexp = re.compile(regexp_str)
ps = proto_regexp.findall(csrc)
for p in ps:
n = p.find("*/")
if n < 0:
n = 0
else:
n += 2
p = p[n:-1].strip() + ";"
fns = extract_fn_regexp.findall(p)
if len(fns) != 1:
error("prototype of function (%s) when analyzing %s cannot be parsed" % (p, cfname))
fn = fns[0]
if fn not in lapack_protos:
p = re.sub(r'\bcomplex\b', 'lapack_complex', p)
p = re.sub(r'\bdoublecomplex\b', 'lapack_doublecomplex', p)
lapack_protos[fn] = p
for (filename, funcs) in sorted(res_files.items()):
out = ""
f2c_cmd = f2c_cmd0
for func in sorted(list(funcs)):
ffilename = fun2file(func)
print ("running " + f2c_cmd + " on " + ffilename + " ...")
ffile = open(ffilename, 'rt')
delta_out = subprocess.check_output(f2c_cmd.split(' '), stdin=ffile).decode("utf-8")
# remove trailing whitespaces
delta_out = '\n'.join([l.rstrip() for l in delta_out.split('\n')])
extract_proto(func, delta_out)
out += delta_out
ffile.close()
f2c_cmd = f2c_cmd1
outname = os.path.join(outdir_src, filename.lower() + ".c")
outfile = open(outname, 'wt')
outfile.write(out)
outfile.close()
proto_hdr = """// this is auto-generated header for Lapack subset
#ifndef __CLAPACK_H__
#define __CLAPACK_H__
#include "cblas.h"
#ifdef __cplusplus
extern "C" {
#endif
%s
#ifdef __cplusplus
}
#endif
#endif
""" % "\n\n".join([p for (n, p) in sorted(lapack_protos.items())])
proto_hdr_fname = os.path.join(outdir_inc, "lapack.h")
f = open(proto_hdr_fname, 'wt')
f.write(proto_hdr)
f.close()
-289
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#include "f2c.h"
#include <stdarg.h>
void cblas_cgemm(const CBLAS_LAYOUT layout, const CBLAS_TRANSPOSE TransA,
const CBLAS_TRANSPOSE TransB, const int M, const int N,
const int K, const void *alpha, const void *A,
const int lda, const void *B, const int ldb,
const void *beta, void *C, const int ldc)
{
char TA, TB;
if( layout == CblasColMajor )
{
if(TransA == CblasTrans) TA='T';
else if ( TransA == CblasConjTrans ) TA='C';
else if ( TransA == CblasNoTrans ) TA='N';
else
{
cblas_xerbla(layout, 2, "cblas_cgemm", "Illegal TransA setting, %d\n", TransA);
return;
}
if(TransB == CblasTrans) TB='T';
else if ( TransB == CblasConjTrans ) TB='C';
else if ( TransB == CblasNoTrans ) TB='N';
else
{
cblas_xerbla(layout, 3, "cblas_cgemm", "Illegal TransB setting, %d\n", TransB);
return;
}
cgemm_(&TA, &TB, (int*)&M, (int*)&N, (int*)&K, (complex*)alpha, (complex*)A, (int*)&lda,
(complex*)B, (int*)&ldb, (complex*)beta, (complex*)C, (int*)&ldc);
}
else if (layout == CblasRowMajor)
{
if(TransA == CblasTrans) TB='T';
else if ( TransA == CblasConjTrans ) TB='C';
else if ( TransA == CblasNoTrans ) TB='N';
else
{
cblas_xerbla(layout, 2, "cblas_cgemm", "Illegal TransA setting, %d\n", TransA);
return;
}
if(TransB == CblasTrans) TA='T';
else if ( TransB == CblasConjTrans ) TA='C';
else if ( TransB == CblasNoTrans ) TA='N';
else
{
cblas_xerbla(layout, 2, "cblas_cgemm", "Illegal TransB setting, %d\n", TransB);
return;
}
cgemm_(&TA, &TB, (int*)&N, (int*)&M, (int*)&K, (complex*)alpha, (complex*)B, (int*)&ldb,
(complex*)A, (int*)&lda, (complex*)beta, (complex*)C, (int*)&ldc);
}
else cblas_xerbla(layout, 1, "cblas_cgemm", "Illegal layout setting, %d\n", layout);
}
void cblas_dgemm(const CBLAS_LAYOUT layout, const CBLAS_TRANSPOSE TransA,
const CBLAS_TRANSPOSE TransB, const int M, const int N,
const int K, const double alpha, const double *A,
const int lda, const double *B, const int ldb,
const double beta, double *C, const int ldc)
{
char TA, TB;
if( layout == CblasColMajor )
{
if(TransA == CblasTrans) TA='T';
else if ( TransA == CblasConjTrans ) TA='C';
else if ( TransA == CblasNoTrans ) TA='N';
else
{
cblas_xerbla(layout, 2, "cblas_dgemm", "Illegal TransA setting, %d\n", TransA);
return;
}
if(TransB == CblasTrans) TB='T';
else if ( TransB == CblasConjTrans ) TB='C';
else if ( TransB == CblasNoTrans ) TB='N';
else
{
cblas_xerbla(layout, 3, "cblas_dgemm", "Illegal TransB setting, %d\n", TransB);
return;
}
dgemm_(&TA, &TB, (int*)&M, (int*)&N, (int*)&K, (double*)&alpha, (double*)A, (int*)&lda,
(double*)B, (int*)&ldb, (double*)&beta, (double*)C, (int*)&ldc);
}
else if (layout == CblasRowMajor)
{
if(TransA == CblasTrans) TB='T';
else if ( TransA == CblasConjTrans ) TB='C';
else if ( TransA == CblasNoTrans ) TB='N';
else
{
cblas_xerbla(layout, 2, "cblas_dgemm", "Illegal TransA setting, %d\n", TransA);
return;
}
if(TransB == CblasTrans) TA='T';
else if ( TransB == CblasConjTrans ) TA='C';
else if ( TransB == CblasNoTrans ) TA='N';
else
{
cblas_xerbla(layout, 2, "cblas_dgemm", "Illegal TransB setting, %d\n", TransB);
return;
}
dgemm_(&TA, &TB, (int*)&N, (int*)&M, (int*)&K, (double*)&alpha, (double*)B, (int*)&ldb,
(double*)A, (int*)&lda, (double*)&beta, (double*)C, (int*)&ldc);
}
else cblas_xerbla(layout, 1, "cblas_dgemm", "Illegal layout setting, %d\n", layout);
}
void cblas_sgemm(const CBLAS_LAYOUT layout, const CBLAS_TRANSPOSE TransA,
const CBLAS_TRANSPOSE TransB, const int M, const int N,
const int K, const float alpha, const float *A,
const int lda, const float *B, const int ldb,
const float beta, float *C, const int ldc)
{
char TA, TB;
if( layout == CblasColMajor )
{
if(TransA == CblasTrans) TA='T';
else if ( TransA == CblasConjTrans ) TA='C';
else if ( TransA == CblasNoTrans ) TA='N';
else
{
cblas_xerbla(layout, 2, "cblas_sgemm", "Illegal TransA setting, %d\n", TransA);
return;
}
if(TransB == CblasTrans) TB='T';
else if ( TransB == CblasConjTrans ) TB='C';
else if ( TransB == CblasNoTrans ) TB='N';
else
{
cblas_xerbla(layout, 3, "cblas_sgemm", "Illegal TransB setting, %d\n", TransB);
return;
}
sgemm_(&TA, &TB, (int*)&M, (int*)&N, (int*)&K, (float*)&alpha, (float*)A, (int*)&lda,
(float*)B, (int*)&ldb, (float*)&beta, (float*)C, (int*)&ldc);
}
else if (layout == CblasRowMajor)
{
if(TransA == CblasTrans) TB='T';
else if ( TransA == CblasConjTrans ) TB='C';
else if ( TransA == CblasNoTrans ) TB='N';
else
{
cblas_xerbla(layout, 2, "cblas_sgemm", "Illegal TransA setting, %d\n", TransA);
return;
}
if(TransB == CblasTrans) TA='T';
else if ( TransB == CblasConjTrans ) TA='C';
else if ( TransB == CblasNoTrans ) TA='N';
else
{
cblas_xerbla(layout, 2, "cblas_sgemm", "Illegal TransB setting, %d\n", TransB);
return;
}
sgemm_(&TA, &TB, (int*)&N, (int*)&M, (int*)&K, (float*)&alpha, (float*)B, (int*)&ldb,
(float*)A, (int*)&lda, (float*)&beta, (float*)C, (int*)&ldc);
}
else cblas_xerbla(layout, 1, "cblas_sgemm", "Illegal layout setting, %d\n", layout);
}
void cblas_zgemm(const CBLAS_LAYOUT layout, const CBLAS_TRANSPOSE TransA,
const CBLAS_TRANSPOSE TransB, const int M, const int N,
const int K, const void *alpha, const void *A,
const int lda, const void *B, const int ldb,
const void *beta, void *C, const int ldc)
{
char TA, TB;
if( layout == CblasColMajor )
{
if(TransA == CblasTrans) TA='T';
else if ( TransA == CblasConjTrans ) TA='C';
else if ( TransA == CblasNoTrans ) TA='N';
else
{
cblas_xerbla(layout, 2, "cblas_zgemm", "Illegal TransA setting, %d\n", TransA);
return;
}
if(TransB == CblasTrans) TB='T';
else if ( TransB == CblasConjTrans ) TB='C';
else if ( TransB == CblasNoTrans ) TB='N';
else
{
cblas_xerbla(layout, 3, "cblas_zgemm", "Illegal TransB setting, %d\n", TransB);
return;
}
zgemm_(&TA, &TB, (int*)&M, (int*)&N, (int*)&K, (doublecomplex*)alpha, (doublecomplex*)A, (int*)&lda,
(doublecomplex*)B, (int*)&ldb, (doublecomplex*)beta, (doublecomplex*)C, (int*)&ldc);
}
else if (layout == CblasRowMajor)
{
if(TransA == CblasTrans) TB='T';
else if ( TransA == CblasConjTrans ) TB='C';
else if ( TransA == CblasNoTrans ) TB='N';
else
{
cblas_xerbla(layout, 2, "cblas_zgemm", "Illegal TransA setting, %d\n", TransA);
return;
}
if(TransB == CblasTrans) TA='T';
else if ( TransB == CblasConjTrans ) TA='C';
else if ( TransB == CblasNoTrans ) TA='N';
else
{
cblas_xerbla(layout, 2, "cblas_zgemm", "Illegal TransB setting, %d\n", TransB);
return;
}
zgemm_(&TA, &TB, (int*)&N, (int*)&M, (int*)&K, (doublecomplex*)alpha, (doublecomplex*)B, (int*)&ldb,
(doublecomplex*)A, (int*)&lda, (doublecomplex*)beta, (doublecomplex*)C, (int*)&ldc);
}
else cblas_xerbla(layout, 1, "cblas_zgemm", "Illegal layout setting, %d\n", layout);
}
void cblas_xerbla(const CBLAS_LAYOUT layout, int info, const char *rout, const char *form, ...)
{
extern int RowMajorStrg;
char empty[1] = "";
va_list argptr;
va_start(argptr, form);
if (layout == CblasRowMajor)
{
if (strstr(rout,"gemm") != 0)
{
if (info == 5 ) info = 4;
else if (info == 4 ) info = 5;
else if (info == 11) info = 9;
else if (info == 9 ) info = 11;
}
else if (strstr(rout,"symm") != 0 || strstr(rout,"hemm") != 0)
{
if (info == 5 ) info = 4;
else if (info == 4 ) info = 5;
}
else if (strstr(rout,"trmm") != 0 || strstr(rout,"trsm") != 0)
{
if (info == 7 ) info = 6;
else if (info == 6 ) info = 7;
}
else if (strstr(rout,"gemv") != 0)
{
if (info == 4) info = 3;
else if (info == 3) info = 4;
}
else if (strstr(rout,"gbmv") != 0)
{
if (info == 4) info = 3;
else if (info == 3) info = 4;
else if (info == 6) info = 5;
else if (info == 5) info = 6;
}
else if (strstr(rout,"ger") != 0)
{
if (info == 3) info = 2;
else if (info == 2) info = 3;
else if (info == 8) info = 6;
else if (info == 6) info = 8;
}
else if ( (strstr(rout,"her2") != 0 || strstr(rout,"hpr2") != 0)
&& strstr(rout,"her2k") == 0 )
{
if (info == 8) info = 6;
else if (info == 6) info = 8;
}
}
if (info)
fprintf(stderr, "Parameter %d to routine %s was incorrect\n", info, rout);
vfprintf(stderr, form, argptr);
va_end(argptr);
if (info && !info)
xerbla_(empty, &info); /* Force link of our F77 error handler */
exit(-1);
}
-72
View File
@@ -1,72 +0,0 @@
#include "f2c.h"
#include <float.h>
#include <stdio.h>
/* *********************************************************************** */
double dlamc3_(double *a, double *b)
{
/* -- LAPACK auxiliary routine (version 3.1) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* .. Scalar Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* DLAMC3 is intended to force A and B to be stored prior to doing */
/* the addition of A and B , for use in situations where optimizers */
/* might hold one of these in a register. */
/* Arguments */
/* ========= */
/* A (input) DOUBLE PRECISION */
/* B (input) DOUBLE PRECISION */
/* The values A and B. */
/* ===================================================================== */
/* .. Executable Statements .. */
double ret_val = *a + *b;
return ret_val;
/* End of DLAMC3 */
} /* dlamc3_ */
/* simpler version of dlamch for the case of IEEE754-compliant FPU module by Piotr Luszczek S.
taken from http://www.mail-archive.com/numpy-discussion@lists.sourceforge.net/msg02448.html */
#ifndef DBL_DIGITS
#define DBL_DIGITS 53
#endif
static const unsigned char lapack_dlamch_tab0[] =
{
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 0, 3, 4, 5, 6, 7, 0, 8, 9, 0, 10, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 0, 3, 4, 5, 6, 7, 0, 8, 9,
0, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
};
const double lapack_dlamch_tab1[] =
{
0, FLT_RADIX, DBL_EPSILON, DBL_MAX_EXP, DBL_MIN_EXP, DBL_DIGITS, DBL_MAX,
DBL_EPSILON*FLT_RADIX, 1, DBL_MIN*(1 + DBL_EPSILON), DBL_MIN
};
double dlamch_(char* cmach)
{
return lapack_dlamch_tab1[lapack_dlamch_tab0[(unsigned char)cmach[0]]];
}
-96
View File
@@ -1,96 +0,0 @@
#include "f2c.h"
static const int CLAPACK_NOT_IMPLEMENTED = -1024;
int sgesdd_(char *jobz, int *m, int *n, float *a, int *lda,
float *s, float *u, int *ldu, float *vt, int *ldvt, float *work,
int *lwork, int *iwork, int *info)
{
*info = CLAPACK_NOT_IMPLEMENTED;
return 0;
}
int dgels_(char *trans, int *m, int *n, int *nrhs, double *a,
int *lda, double *b, int *ldb, double *work, int *lwork, int *info)
{
*info = CLAPACK_NOT_IMPLEMENTED;
return 0;
}
int dgesv_(int *n, int *nrhs, double *a, int *lda, int *ipiv,
double *b, int *ldb, int *info)
{
*info = CLAPACK_NOT_IMPLEMENTED;
return 0;
}
int dgetrf_(int *m, int *n, double *a, int *lda, int *ipiv,
int *info)
{
*info = CLAPACK_NOT_IMPLEMENTED;
return 0;
}
int dposv_(char *uplo, int *n, int *nrhs, double *a, int *
lda, double *b, int *ldb, int *info)
{
*info = CLAPACK_NOT_IMPLEMENTED;
return 0;
}
int dpotrf_(char *uplo, int *n, double *a, int *lda, int *
info)
{
*info = CLAPACK_NOT_IMPLEMENTED;
return 0;
}
int sgels_(char *trans, int *m, int *n, int *nrhs, float *a,
int *lda, float *b, int *ldb, float *work, int *lwork, int *info)
{
*info = CLAPACK_NOT_IMPLEMENTED;
return 0;
}
int sgeev_(char *jobvl, char *jobvr, int *n, float *a, int *
lda, float *wr, float *wi, float *vl, int *ldvl, float *vr, int *
ldvr, float *work, int *lwork, int *info)
{
*info = CLAPACK_NOT_IMPLEMENTED;
return 0;
}
int sgeqrf_(int *m, int *n, float *a, int *lda, float *tau,
float *work, int *lwork, int *info)
{
*info = CLAPACK_NOT_IMPLEMENTED;
return 0;
}
int sgesv_(int *n, int *nrhs, float *a, int *lda, int *ipiv,
float *b, int *ldb, int *info)
{
*info = CLAPACK_NOT_IMPLEMENTED;
return 0;
}
int sgetrf_(int *m, int *n, float *a, int *lda, int *ipiv,
int *info)
{
*info = CLAPACK_NOT_IMPLEMENTED;
return 0;
}
int sposv_(char *uplo, int *n, int *nrhs, float *a, int *
lda, float *b, int *ldb, int *info)
{
*info = CLAPACK_NOT_IMPLEMENTED;
return 0;
}
int spotrf_(char *uplo, int *n, float *a, int *lda, int *
info)
{
*info = CLAPACK_NOT_IMPLEMENTED;
return 0;
}
-25
View File
@@ -1,25 +0,0 @@
#include "f2c.h"
static const unsigned char lapack_toupper_tab[] =
{
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23,
24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45,
46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67,
68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89,
90, 91, 92, 93, 94, 95, 96, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79,
80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 123, 124, 125, 126, 127, 128, 129, 130, 131,
132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149,
150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167,
168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185,
186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203,
204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221,
222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239,
240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255
};
#define lapack_toupper(c) ((char)lapack_toupper_tab[(unsigned char)(c)])
int lsame_(char *ca, char *cb)
{
return lapack_toupper(ca[0]) == lapack_toupper(cb[0]);
}
-27
View File
@@ -1,27 +0,0 @@
#include "f2c.h"
double pow_di(double *ap, int *bp)
{
double p = 1;
double x = *ap;
int n = *bp;
if(n != 0)
{
if(n < 0)
{
n = -n;
x = 1/x;
}
unsigned u = (unsigned)n;
for(;;)
{
if((u & 1) != 0)
p *= x;
if((u >>= 1) == 0)
break;
x *= x;
}
}
return p;
}
-25
View File
@@ -1,25 +0,0 @@
#include "f2c.h"
int pow_ii(int *ap, int *bp)
{
int p;
int x = *ap;
int n = *bp;
if (n <= 0) {
if (n == 0 || x == 1)
return 1;
return x != -1 ? 0 : (n & 1) ? -1 : 1;
}
unsigned u = (unsigned)n;
for(p = 1; ; )
{
if(u & 01)
p *= x;
if(u >>= 1)
x *= x;
else
break;
}
return p;
}
-22
View File
@@ -1,22 +0,0 @@
/* Unless compiled with -DNO_OVERWRITE, this variant of s_cat allows the
* target of a concatenation to appear on its right-hand side (contrary
* to the Fortran 77 Standard, but in accordance with Fortran 90).
*/
#include "f2c.h"
int s_cat(char *lp, char **rpp, int* rnp, int *np)
{
int i, L = 0;
int n = *np;
for(i = 0; i < n; i++) {
int ni = rnp[i];
if(ni > 0) {
memcpy(lp + L, rpp[i], ni);
L += ni;
}
}
lp[L] = '\0';
return 0;
}
-40
View File
@@ -1,40 +0,0 @@
#include "f2c.h"
/* compare two strings */
int s_cmp(char *a0, char *b0)
{
int la = (int)strlen(a0);
int lb = (int)strlen(b0);
unsigned char *a, *aend, *b, *bend;
a = (unsigned char *)a0;
b = (unsigned char *)b0;
aend = a + la;
bend = b + lb;
if(la <= lb)
{
while(a < aend)
if(*a != *b)
return( *a - *b );
else
{ ++a; ++b; }
while(b < bend)
if(*b != ' ')
return( ' ' - *b );
else ++b;
}
else
{
while(b < bend)
if(*a == *b)
{ ++a; ++b; }
else
return( *a - *b );
while(a < aend)
if(*a != ' ')
return(*a - ' ');
else ++a;
}
return(0);
}
-71
View File
@@ -1,71 +0,0 @@
#include "f2c.h"
#include <float.h>
#include <stdio.h>
/* *********************************************************************** */
double slamc3_(float *a, float *b)
{
/* -- LAPACK auxiliary routine (version 3.1) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* .. Scalar Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* SLAMC3 is intended to force A and B to be stored prior to doing */
/* the addition of A and B , for use in situations where optimizers */
/* might hold one of these in a register. */
/* Arguments */
/* ========= */
/* A (input) REAL */
/* B (input) REAL */
/* The values A and B. */
/* ===================================================================== */
/* .. Executable Statements .. */
float ret_val = *a + *b;
return ret_val;
/* End of SLAMC3 */
} /* slamc3_ */
/* simpler version of slamch for the case of IEEE754-compliant FPU module by Piotr Luszczek S.
taken from http://www.mail-archive.com/numpy-discussion@lists.sourceforge.net/msg02448.html */
#ifndef FLT_DIGITS
#define FLT_DIGITS 24
#endif
static const unsigned char lapack_slamch_tab0[] =
{
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 0, 3, 4, 5, 6, 7, 0, 8, 9, 0, 10, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 0, 3, 4, 5, 6, 7, 0, 8, 9,
0, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
};
const double lapack_slamch_tab1[] =
{
0, FLT_RADIX, FLT_EPSILON, FLT_MAX_EXP, FLT_MIN_EXP, FLT_DIGITS, FLT_MAX,
FLT_EPSILON*FLT_RADIX, 1, FLT_MIN*(1 + FLT_EPSILON), FLT_MIN
};
double slamch_(char* cmach)
{
return lapack_slamch_tab1[lapack_slamch_tab0[(unsigned char)cmach[0]]];
}
-19
View File
@@ -1,19 +0,0 @@
/* xerbla.f -- translated by f2c (version 20061008).
You must link the resulting object file with libf2c:
on Microsoft Windows system, link with libf2c.lib;
on Linux or Unix systems, link with .../path/to/libf2c.a -lm
or, if you install libf2c.a in a standard place, with -lf2c -lm
-- in that order, at the end of the command line, as in
cc *.o -lf2c -lm
Source for libf2c is in /netlib/f2c/libf2c.zip, e.g.,
http://www.netlib.org/f2c/libf2c.zip
*/
#include "f2c.h"
/* Subroutine */ int xerbla_(char *srname, int *info)
{
printf("** On entry to %s, parameter number %2i had an illegal value\n", srname, *info);
return 0;
} /* xerbla_ */
-752
View File
@@ -1,752 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b CGEMM
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
// Definition:
// ===========
//
// SUBROUTINE CGEMM(TRANSA,TRANSB,M,N,K,ALPHA,A,LDA,B,LDB,BETA,C,LDC)
//
// .. Scalar Arguments ..
// COMPLEX ALPHA,BETA
// INTEGER K,LDA,LDB,LDC,M,N
// CHARACTER TRANSA,TRANSB
// ..
// .. Array Arguments ..
// COMPLEX A(LDA,*),B(LDB,*),C(LDC,*)
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> CGEMM performs one of the matrix-matrix operations
//>
//> C := alpha*op( A )*op( B ) + beta*C,
//>
//> where op( X ) is one of
//>
//> op( X ) = X or op( X ) = X**T or op( X ) = X**H,
//>
//> alpha and beta are scalars, and A, B and C are matrices, with op( A )
//> an m by k matrix, op( B ) a k by n matrix and C an m by n matrix.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] TRANSA
//> \verbatim
//> TRANSA is CHARACTER*1
//> On entry, TRANSA specifies the form of op( A ) to be used in
//> the matrix multiplication as follows:
//>
//> TRANSA = 'N' or 'n', op( A ) = A.
//>
//> TRANSA = 'T' or 't', op( A ) = A**T.
//>
//> TRANSA = 'C' or 'c', op( A ) = A**H.
//> \endverbatim
//>
//> \param[in] TRANSB
//> \verbatim
//> TRANSB is CHARACTER*1
//> On entry, TRANSB specifies the form of op( B ) to be used in
//> the matrix multiplication as follows:
//>
//> TRANSB = 'N' or 'n', op( B ) = B.
//>
//> TRANSB = 'T' or 't', op( B ) = B**T.
//>
//> TRANSB = 'C' or 'c', op( B ) = B**H.
//> \endverbatim
//>
//> \param[in] M
//> \verbatim
//> M is INTEGER
//> On entry, M specifies the number of rows of the matrix
//> op( A ) and of the matrix C. M must be at least zero.
//> \endverbatim
//>
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> On entry, N specifies the number of columns of the matrix
//> op( B ) and the number of columns of the matrix C. N must be
//> at least zero.
//> \endverbatim
//>
//> \param[in] K
//> \verbatim
//> K is INTEGER
//> On entry, K specifies the number of columns of the matrix
//> op( A ) and the number of rows of the matrix op( B ). K must
//> be at least zero.
//> \endverbatim
//>
//> \param[in] ALPHA
//> \verbatim
//> ALPHA is COMPLEX
//> On entry, ALPHA specifies the scalar alpha.
//> \endverbatim
//>
//> \param[in] A
//> \verbatim
//> A is COMPLEX array, dimension ( LDA, ka ), where ka is
//> k when TRANSA = 'N' or 'n', and is m otherwise.
//> Before entry with TRANSA = 'N' or 'n', the leading m by k
//> part of the array A must contain the matrix A, otherwise
//> the leading k by m part of the array A must contain the
//> matrix A.
//> \endverbatim
//>
//> \param[in] LDA
//> \verbatim
//> LDA is INTEGER
//> On entry, LDA specifies the first dimension of A as declared
//> in the calling (sub) program. When TRANSA = 'N' or 'n' then
//> LDA must be at least max( 1, m ), otherwise LDA must be at
//> least max( 1, k ).
//> \endverbatim
//>
//> \param[in] B
//> \verbatim
//> B is COMPLEX array, dimension ( LDB, kb ), where kb is
//> n when TRANSB = 'N' or 'n', and is k otherwise.
//> Before entry with TRANSB = 'N' or 'n', the leading k by n
//> part of the array B must contain the matrix B, otherwise
//> the leading n by k part of the array B must contain the
//> matrix B.
//> \endverbatim
//>
//> \param[in] LDB
//> \verbatim
//> LDB is INTEGER
//> On entry, LDB specifies the first dimension of B as declared
//> in the calling (sub) program. When TRANSB = 'N' or 'n' then
//> LDB must be at least max( 1, k ), otherwise LDB must be at
//> least max( 1, n ).
//> \endverbatim
//>
//> \param[in] BETA
//> \verbatim
//> BETA is COMPLEX
//> On entry, BETA specifies the scalar beta. When BETA is
//> supplied as zero then C need not be set on input.
//> \endverbatim
//>
//> \param[in,out] C
//> \verbatim
//> C is COMPLEX array, dimension ( LDC, N )
//> Before entry, the leading m by n part of the array C must
//> contain the matrix C, except when beta is zero, in which
//> case C need not be set on entry.
//> On exit, the array C is overwritten by the m by n matrix
//> ( alpha*op( A )*op( B ) + beta*C ).
//> \endverbatim
//>
//> \param[in] LDC
//> \verbatim
//> LDC is INTEGER
//> On entry, LDC specifies the first dimension of C as declared
//> in the calling (sub) program. LDC must be at least
//> max( 1, m ).
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date December 2016
//
//> \ingroup complex_blas_level3
//
//> \par Further Details:
// =====================
//>
//> \verbatim
//>
//> Level 3 Blas routine.
//>
//> -- Written on 8-February-1989.
//> Jack Dongarra, Argonne National Laboratory.
//> Iain Duff, AERE Harwell.
//> Jeremy Du Croz, Numerical Algorithms Group Ltd.
//> Sven Hammarling, Numerical Algorithms Group Ltd.
//> \endverbatim
//>
// =====================================================================
/* Subroutine */ int cgemm_(char *transa, char *transb, int *m, int *n, int *
k, complex *alpha, complex *a, int *lda, complex *b, int *ldb,
complex *beta, complex *c__, int *ldc)
{
// Table of constant values
complex c_b1 = {1.f,0.f};
complex c_b2 = {0.f,0.f};
// System generated locals
int a_dim1, a_offset, b_dim1, b_offset, c_dim1, c_offset, i__1, i__2,
i__3, i__4, i__5, i__6;
complex q__1, q__2, q__3, q__4;
// Local variables
int i__, j, l, info;
int nota, notb;
complex temp;
int conja, conjb;
int ncola;
extern int lsame_(char *, char *);
int nrowa, nrowb;
extern /* Subroutine */ int xerbla_(char *, int *);
//
// -- Reference BLAS level3 routine (version 3.7.0) --
// -- Reference BLAS is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// December 2016
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. External Functions ..
// ..
// .. External Subroutines ..
// ..
// .. Intrinsic Functions ..
// ..
// .. Local Scalars ..
// ..
// .. Parameters ..
// ..
//
// Set NOTA and NOTB as true if A and B respectively are not
// conjugated or transposed, set CONJA and CONJB as true if A and
// B respectively are to be transposed but not conjugated and set
// NROWA, NCOLA and NROWB as the number of rows and columns of A
// and the number of rows of B respectively.
//
// Parameter adjustments
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
b_dim1 = *ldb;
b_offset = 1 + b_dim1;
b -= b_offset;
c_dim1 = *ldc;
c_offset = 1 + c_dim1;
c__ -= c_offset;
// Function Body
nota = lsame_(transa, "N");
notb = lsame_(transb, "N");
conja = lsame_(transa, "C");
conjb = lsame_(transb, "C");
if (nota) {
nrowa = *m;
ncola = *k;
} else {
nrowa = *k;
ncola = *m;
}
if (notb) {
nrowb = *k;
} else {
nrowb = *n;
}
//
// Test the input parameters.
//
info = 0;
if (! nota && ! conja && ! lsame_(transa, "T")) {
info = 1;
} else if (! notb && ! conjb && ! lsame_(transb, "T")) {
info = 2;
} else if (*m < 0) {
info = 3;
} else if (*n < 0) {
info = 4;
} else if (*k < 0) {
info = 5;
} else if (*lda < max(1,nrowa)) {
info = 8;
} else if (*ldb < max(1,nrowb)) {
info = 10;
} else if (*ldc < max(1,*m)) {
info = 13;
}
if (info != 0) {
xerbla_("CGEMM ", &info);
return 0;
}
//
// Quick return if possible.
//
if (*m == 0 || *n == 0 || (alpha->r == 0.f && alpha->i == 0.f || *k == 0)
&& (beta->r == 1.f && beta->i == 0.f)) {
return 0;
}
//
// And when alpha.eq.zero.
//
if (alpha->r == 0.f && alpha->i == 0.f) {
if (beta->r == 0.f && beta->i == 0.f) {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
i__3 = i__ + j * c_dim1;
c__[i__3].r = 0.f, c__[i__3].i = 0.f;
// L10:
}
// L20:
}
} else {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
i__3 = i__ + j * c_dim1;
i__4 = i__ + j * c_dim1;
q__1.r = beta->r * c__[i__4].r - beta->i * c__[i__4].i,
q__1.i = beta->r * c__[i__4].i + beta->i * c__[
i__4].r;
c__[i__3].r = q__1.r, c__[i__3].i = q__1.i;
// L30:
}
// L40:
}
}
return 0;
}
//
// Start the operations.
//
if (notb) {
if (nota) {
//
// Form C := alpha*A*B + beta*C.
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
if (beta->r == 0.f && beta->i == 0.f) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
i__3 = i__ + j * c_dim1;
c__[i__3].r = 0.f, c__[i__3].i = 0.f;
// L50:
}
} else if (beta->r != 1.f || beta->i != 0.f) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
i__3 = i__ + j * c_dim1;
i__4 = i__ + j * c_dim1;
q__1.r = beta->r * c__[i__4].r - beta->i * c__[i__4]
.i, q__1.i = beta->r * c__[i__4].i + beta->i *
c__[i__4].r;
c__[i__3].r = q__1.r, c__[i__3].i = q__1.i;
// L60:
}
}
i__2 = *k;
for (l = 1; l <= i__2; ++l) {
i__3 = l + j * b_dim1;
q__1.r = alpha->r * b[i__3].r - alpha->i * b[i__3].i,
q__1.i = alpha->r * b[i__3].i + alpha->i * b[i__3]
.r;
temp.r = q__1.r, temp.i = q__1.i;
i__3 = *m;
for (i__ = 1; i__ <= i__3; ++i__) {
i__4 = i__ + j * c_dim1;
i__5 = i__ + j * c_dim1;
i__6 = i__ + l * a_dim1;
q__2.r = temp.r * a[i__6].r - temp.i * a[i__6].i,
q__2.i = temp.r * a[i__6].i + temp.i * a[i__6]
.r;
q__1.r = c__[i__5].r + q__2.r, q__1.i = c__[i__5].i +
q__2.i;
c__[i__4].r = q__1.r, c__[i__4].i = q__1.i;
// L70:
}
// L80:
}
// L90:
}
} else if (conja) {
//
// Form C := alpha*A**H*B + beta*C.
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
temp.r = 0.f, temp.i = 0.f;
i__3 = *k;
for (l = 1; l <= i__3; ++l) {
r_cnjg(&q__3, &a[l + i__ * a_dim1]);
i__4 = l + j * b_dim1;
q__2.r = q__3.r * b[i__4].r - q__3.i * b[i__4].i,
q__2.i = q__3.r * b[i__4].i + q__3.i * b[i__4]
.r;
q__1.r = temp.r + q__2.r, q__1.i = temp.i + q__2.i;
temp.r = q__1.r, temp.i = q__1.i;
// L100:
}
if (beta->r == 0.f && beta->i == 0.f) {
i__3 = i__ + j * c_dim1;
q__1.r = alpha->r * temp.r - alpha->i * temp.i,
q__1.i = alpha->r * temp.i + alpha->i *
temp.r;
c__[i__3].r = q__1.r, c__[i__3].i = q__1.i;
} else {
i__3 = i__ + j * c_dim1;
q__2.r = alpha->r * temp.r - alpha->i * temp.i,
q__2.i = alpha->r * temp.i + alpha->i *
temp.r;
i__4 = i__ + j * c_dim1;
q__3.r = beta->r * c__[i__4].r - beta->i * c__[i__4]
.i, q__3.i = beta->r * c__[i__4].i + beta->i *
c__[i__4].r;
q__1.r = q__2.r + q__3.r, q__1.i = q__2.i + q__3.i;
c__[i__3].r = q__1.r, c__[i__3].i = q__1.i;
}
// L110:
}
// L120:
}
} else {
//
// Form C := alpha*A**T*B + beta*C
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
temp.r = 0.f, temp.i = 0.f;
i__3 = *k;
for (l = 1; l <= i__3; ++l) {
i__4 = l + i__ * a_dim1;
i__5 = l + j * b_dim1;
q__2.r = a[i__4].r * b[i__5].r - a[i__4].i * b[i__5]
.i, q__2.i = a[i__4].r * b[i__5].i + a[i__4]
.i * b[i__5].r;
q__1.r = temp.r + q__2.r, q__1.i = temp.i + q__2.i;
temp.r = q__1.r, temp.i = q__1.i;
// L130:
}
if (beta->r == 0.f && beta->i == 0.f) {
i__3 = i__ + j * c_dim1;
q__1.r = alpha->r * temp.r - alpha->i * temp.i,
q__1.i = alpha->r * temp.i + alpha->i *
temp.r;
c__[i__3].r = q__1.r, c__[i__3].i = q__1.i;
} else {
i__3 = i__ + j * c_dim1;
q__2.r = alpha->r * temp.r - alpha->i * temp.i,
q__2.i = alpha->r * temp.i + alpha->i *
temp.r;
i__4 = i__ + j * c_dim1;
q__3.r = beta->r * c__[i__4].r - beta->i * c__[i__4]
.i, q__3.i = beta->r * c__[i__4].i + beta->i *
c__[i__4].r;
q__1.r = q__2.r + q__3.r, q__1.i = q__2.i + q__3.i;
c__[i__3].r = q__1.r, c__[i__3].i = q__1.i;
}
// L140:
}
// L150:
}
}
} else if (nota) {
if (conjb) {
//
// Form C := alpha*A*B**H + beta*C.
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
if (beta->r == 0.f && beta->i == 0.f) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
i__3 = i__ + j * c_dim1;
c__[i__3].r = 0.f, c__[i__3].i = 0.f;
// L160:
}
} else if (beta->r != 1.f || beta->i != 0.f) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
i__3 = i__ + j * c_dim1;
i__4 = i__ + j * c_dim1;
q__1.r = beta->r * c__[i__4].r - beta->i * c__[i__4]
.i, q__1.i = beta->r * c__[i__4].i + beta->i *
c__[i__4].r;
c__[i__3].r = q__1.r, c__[i__3].i = q__1.i;
// L170:
}
}
i__2 = *k;
for (l = 1; l <= i__2; ++l) {
r_cnjg(&q__2, &b[j + l * b_dim1]);
q__1.r = alpha->r * q__2.r - alpha->i * q__2.i, q__1.i =
alpha->r * q__2.i + alpha->i * q__2.r;
temp.r = q__1.r, temp.i = q__1.i;
i__3 = *m;
for (i__ = 1; i__ <= i__3; ++i__) {
i__4 = i__ + j * c_dim1;
i__5 = i__ + j * c_dim1;
i__6 = i__ + l * a_dim1;
q__2.r = temp.r * a[i__6].r - temp.i * a[i__6].i,
q__2.i = temp.r * a[i__6].i + temp.i * a[i__6]
.r;
q__1.r = c__[i__5].r + q__2.r, q__1.i = c__[i__5].i +
q__2.i;
c__[i__4].r = q__1.r, c__[i__4].i = q__1.i;
// L180:
}
// L190:
}
// L200:
}
} else {
//
// Form C := alpha*A*B**T + beta*C
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
if (beta->r == 0.f && beta->i == 0.f) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
i__3 = i__ + j * c_dim1;
c__[i__3].r = 0.f, c__[i__3].i = 0.f;
// L210:
}
} else if (beta->r != 1.f || beta->i != 0.f) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
i__3 = i__ + j * c_dim1;
i__4 = i__ + j * c_dim1;
q__1.r = beta->r * c__[i__4].r - beta->i * c__[i__4]
.i, q__1.i = beta->r * c__[i__4].i + beta->i *
c__[i__4].r;
c__[i__3].r = q__1.r, c__[i__3].i = q__1.i;
// L220:
}
}
i__2 = *k;
for (l = 1; l <= i__2; ++l) {
i__3 = j + l * b_dim1;
q__1.r = alpha->r * b[i__3].r - alpha->i * b[i__3].i,
q__1.i = alpha->r * b[i__3].i + alpha->i * b[i__3]
.r;
temp.r = q__1.r, temp.i = q__1.i;
i__3 = *m;
for (i__ = 1; i__ <= i__3; ++i__) {
i__4 = i__ + j * c_dim1;
i__5 = i__ + j * c_dim1;
i__6 = i__ + l * a_dim1;
q__2.r = temp.r * a[i__6].r - temp.i * a[i__6].i,
q__2.i = temp.r * a[i__6].i + temp.i * a[i__6]
.r;
q__1.r = c__[i__5].r + q__2.r, q__1.i = c__[i__5].i +
q__2.i;
c__[i__4].r = q__1.r, c__[i__4].i = q__1.i;
// L230:
}
// L240:
}
// L250:
}
}
} else if (conja) {
if (conjb) {
//
// Form C := alpha*A**H*B**H + beta*C.
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
temp.r = 0.f, temp.i = 0.f;
i__3 = *k;
for (l = 1; l <= i__3; ++l) {
r_cnjg(&q__3, &a[l + i__ * a_dim1]);
r_cnjg(&q__4, &b[j + l * b_dim1]);
q__2.r = q__3.r * q__4.r - q__3.i * q__4.i, q__2.i =
q__3.r * q__4.i + q__3.i * q__4.r;
q__1.r = temp.r + q__2.r, q__1.i = temp.i + q__2.i;
temp.r = q__1.r, temp.i = q__1.i;
// L260:
}
if (beta->r == 0.f && beta->i == 0.f) {
i__3 = i__ + j * c_dim1;
q__1.r = alpha->r * temp.r - alpha->i * temp.i,
q__1.i = alpha->r * temp.i + alpha->i *
temp.r;
c__[i__3].r = q__1.r, c__[i__3].i = q__1.i;
} else {
i__3 = i__ + j * c_dim1;
q__2.r = alpha->r * temp.r - alpha->i * temp.i,
q__2.i = alpha->r * temp.i + alpha->i *
temp.r;
i__4 = i__ + j * c_dim1;
q__3.r = beta->r * c__[i__4].r - beta->i * c__[i__4]
.i, q__3.i = beta->r * c__[i__4].i + beta->i *
c__[i__4].r;
q__1.r = q__2.r + q__3.r, q__1.i = q__2.i + q__3.i;
c__[i__3].r = q__1.r, c__[i__3].i = q__1.i;
}
// L270:
}
// L280:
}
} else {
//
// Form C := alpha*A**H*B**T + beta*C
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
temp.r = 0.f, temp.i = 0.f;
i__3 = *k;
for (l = 1; l <= i__3; ++l) {
r_cnjg(&q__3, &a[l + i__ * a_dim1]);
i__4 = j + l * b_dim1;
q__2.r = q__3.r * b[i__4].r - q__3.i * b[i__4].i,
q__2.i = q__3.r * b[i__4].i + q__3.i * b[i__4]
.r;
q__1.r = temp.r + q__2.r, q__1.i = temp.i + q__2.i;
temp.r = q__1.r, temp.i = q__1.i;
// L290:
}
if (beta->r == 0.f && beta->i == 0.f) {
i__3 = i__ + j * c_dim1;
q__1.r = alpha->r * temp.r - alpha->i * temp.i,
q__1.i = alpha->r * temp.i + alpha->i *
temp.r;
c__[i__3].r = q__1.r, c__[i__3].i = q__1.i;
} else {
i__3 = i__ + j * c_dim1;
q__2.r = alpha->r * temp.r - alpha->i * temp.i,
q__2.i = alpha->r * temp.i + alpha->i *
temp.r;
i__4 = i__ + j * c_dim1;
q__3.r = beta->r * c__[i__4].r - beta->i * c__[i__4]
.i, q__3.i = beta->r * c__[i__4].i + beta->i *
c__[i__4].r;
q__1.r = q__2.r + q__3.r, q__1.i = q__2.i + q__3.i;
c__[i__3].r = q__1.r, c__[i__3].i = q__1.i;
}
// L300:
}
// L310:
}
}
} else {
if (conjb) {
//
// Form C := alpha*A**T*B**H + beta*C
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
temp.r = 0.f, temp.i = 0.f;
i__3 = *k;
for (l = 1; l <= i__3; ++l) {
i__4 = l + i__ * a_dim1;
r_cnjg(&q__3, &b[j + l * b_dim1]);
q__2.r = a[i__4].r * q__3.r - a[i__4].i * q__3.i,
q__2.i = a[i__4].r * q__3.i + a[i__4].i *
q__3.r;
q__1.r = temp.r + q__2.r, q__1.i = temp.i + q__2.i;
temp.r = q__1.r, temp.i = q__1.i;
// L320:
}
if (beta->r == 0.f && beta->i == 0.f) {
i__3 = i__ + j * c_dim1;
q__1.r = alpha->r * temp.r - alpha->i * temp.i,
q__1.i = alpha->r * temp.i + alpha->i *
temp.r;
c__[i__3].r = q__1.r, c__[i__3].i = q__1.i;
} else {
i__3 = i__ + j * c_dim1;
q__2.r = alpha->r * temp.r - alpha->i * temp.i,
q__2.i = alpha->r * temp.i + alpha->i *
temp.r;
i__4 = i__ + j * c_dim1;
q__3.r = beta->r * c__[i__4].r - beta->i * c__[i__4]
.i, q__3.i = beta->r * c__[i__4].i + beta->i *
c__[i__4].r;
q__1.r = q__2.r + q__3.r, q__1.i = q__2.i + q__3.i;
c__[i__3].r = q__1.r, c__[i__3].i = q__1.i;
}
// L330:
}
// L340:
}
} else {
//
// Form C := alpha*A**T*B**T + beta*C
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
temp.r = 0.f, temp.i = 0.f;
i__3 = *k;
for (l = 1; l <= i__3; ++l) {
i__4 = l + i__ * a_dim1;
i__5 = j + l * b_dim1;
q__2.r = a[i__4].r * b[i__5].r - a[i__4].i * b[i__5]
.i, q__2.i = a[i__4].r * b[i__5].i + a[i__4]
.i * b[i__5].r;
q__1.r = temp.r + q__2.r, q__1.i = temp.i + q__2.i;
temp.r = q__1.r, temp.i = q__1.i;
// L350:
}
if (beta->r == 0.f && beta->i == 0.f) {
i__3 = i__ + j * c_dim1;
q__1.r = alpha->r * temp.r - alpha->i * temp.i,
q__1.i = alpha->r * temp.i + alpha->i *
temp.r;
c__[i__3].r = q__1.r, c__[i__3].i = q__1.i;
} else {
i__3 = i__ + j * c_dim1;
q__2.r = alpha->r * temp.r - alpha->i * temp.i,
q__2.i = alpha->r * temp.i + alpha->i *
temp.r;
i__4 = i__ + j * c_dim1;
q__3.r = beta->r * c__[i__4].r - beta->i * c__[i__4]
.i, q__3.i = beta->r * c__[i__4].i + beta->i *
c__[i__4].r;
q__1.r = q__2.r + q__3.r, q__1.i = q__2.i + q__3.i;
c__[i__3].r = q__1.r, c__[i__3].i = q__1.i;
}
// L360:
}
// L370:
}
}
}
return 0;
//
// End of CGEMM .
//
} // cgemm_
-171
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@@ -1,171 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b DCOPY
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
// Definition:
// ===========
//
// SUBROUTINE DCOPY(N,DX,INCX,DY,INCY)
//
// .. Scalar Arguments ..
// INTEGER INCX,INCY,N
// ..
// .. Array Arguments ..
// DOUBLE PRECISION DX(*),DY(*)
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DCOPY copies a vector, x, to a vector, y.
//> uses unrolled loops for increments equal to 1.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> number of elements in input vector(s)
//> \endverbatim
//>
//> \param[in] DX
//> \verbatim
//> DX is DOUBLE PRECISION array, dimension ( 1 + ( N - 1 )*abs( INCX ) )
//> \endverbatim
//>
//> \param[in] INCX
//> \verbatim
//> INCX is INTEGER
//> storage spacing between elements of DX
//> \endverbatim
//>
//> \param[out] DY
//> \verbatim
//> DY is DOUBLE PRECISION array, dimension ( 1 + ( N - 1 )*abs( INCY ) )
//> \endverbatim
//>
//> \param[in] INCY
//> \verbatim
//> INCY is INTEGER
//> storage spacing between elements of DY
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date November 2017
//
//> \ingroup double_blas_level1
//
//> \par Further Details:
// =====================
//>
//> \verbatim
//>
//> jack dongarra, linpack, 3/11/78.
//> modified 12/3/93, array(1) declarations changed to array(*)
//> \endverbatim
//>
// =====================================================================
/* Subroutine */ int dcopy_(int *n, double *dx, int *incx, double *dy, int *
incy)
{
// System generated locals
int i__1;
// Local variables
int i__, m, ix, iy, mp1;
//
// -- Reference BLAS level1 routine (version 3.8.0) --
// -- Reference BLAS is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// November 2017
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. Local Scalars ..
// ..
// .. Intrinsic Functions ..
// ..
// Parameter adjustments
--dy;
--dx;
// Function Body
if (*n <= 0) {
return 0;
}
if (*incx == 1 && *incy == 1) {
//
// code for both increments equal to 1
//
//
// clean-up loop
//
m = *n % 7;
if (m != 0) {
i__1 = m;
for (i__ = 1; i__ <= i__1; ++i__) {
dy[i__] = dx[i__];
}
if (*n < 7) {
return 0;
}
}
mp1 = m + 1;
i__1 = *n;
for (i__ = mp1; i__ <= i__1; i__ += 7) {
dy[i__] = dx[i__];
dy[i__ + 1] = dx[i__ + 1];
dy[i__ + 2] = dx[i__ + 2];
dy[i__ + 3] = dx[i__ + 3];
dy[i__ + 4] = dx[i__ + 4];
dy[i__ + 5] = dx[i__ + 5];
dy[i__ + 6] = dx[i__ + 6];
}
} else {
//
// code for unequal increments or equal increments
// not equal to 1
//
ix = 1;
iy = 1;
if (*incx < 0) {
ix = (-(*n) + 1) * *incx + 1;
}
if (*incy < 0) {
iy = (-(*n) + 1) * *incy + 1;
}
i__1 = *n;
for (i__ = 1; i__ <= i__1; ++i__) {
dy[iy] = dx[ix];
ix += *incx;
iy += *incy;
}
}
return 0;
} // dcopy_
-172
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@@ -1,172 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b DDOT
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
// Definition:
// ===========
//
// DOUBLE PRECISION FUNCTION DDOT(N,DX,INCX,DY,INCY)
//
// .. Scalar Arguments ..
// INTEGER INCX,INCY,N
// ..
// .. Array Arguments ..
// DOUBLE PRECISION DX(*),DY(*)
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DDOT forms the dot product of two vectors.
//> uses unrolled loops for increments equal to one.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> number of elements in input vector(s)
//> \endverbatim
//>
//> \param[in] DX
//> \verbatim
//> DX is DOUBLE PRECISION array, dimension ( 1 + ( N - 1 )*abs( INCX ) )
//> \endverbatim
//>
//> \param[in] INCX
//> \verbatim
//> INCX is INTEGER
//> storage spacing between elements of DX
//> \endverbatim
//>
//> \param[in] DY
//> \verbatim
//> DY is DOUBLE PRECISION array, dimension ( 1 + ( N - 1 )*abs( INCY ) )
//> \endverbatim
//>
//> \param[in] INCY
//> \verbatim
//> INCY is INTEGER
//> storage spacing between elements of DY
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date November 2017
//
//> \ingroup double_blas_level1
//
//> \par Further Details:
// =====================
//>
//> \verbatim
//>
//> jack dongarra, linpack, 3/11/78.
//> modified 12/3/93, array(1) declarations changed to array(*)
//> \endverbatim
//>
// =====================================================================
double ddot_(int *n, double *dx, int *incx, double *dy, int *incy)
{
// System generated locals
int i__1;
double ret_val;
// Local variables
int i__, m, ix, iy, mp1;
double dtemp;
//
// -- Reference BLAS level1 routine (version 3.8.0) --
// -- Reference BLAS is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// November 2017
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. Local Scalars ..
// ..
// .. Intrinsic Functions ..
// ..
// Parameter adjustments
--dy;
--dx;
// Function Body
ret_val = 0.;
dtemp = 0.;
if (*n <= 0) {
return ret_val;
}
if (*incx == 1 && *incy == 1) {
//
// code for both increments equal to 1
//
//
// clean-up loop
//
m = *n % 5;
if (m != 0) {
i__1 = m;
for (i__ = 1; i__ <= i__1; ++i__) {
dtemp += dx[i__] * dy[i__];
}
if (*n < 5) {
ret_val = dtemp;
return ret_val;
}
}
mp1 = m + 1;
i__1 = *n;
for (i__ = mp1; i__ <= i__1; i__ += 5) {
dtemp = dtemp + dx[i__] * dy[i__] + dx[i__ + 1] * dy[i__ + 1] +
dx[i__ + 2] * dy[i__ + 2] + dx[i__ + 3] * dy[i__ + 3] +
dx[i__ + 4] * dy[i__ + 4];
}
} else {
//
// code for unequal increments or equal increments
// not equal to 1
//
ix = 1;
iy = 1;
if (*incx < 0) {
ix = (-(*n) + 1) * *incx + 1;
}
if (*incy < 0) {
iy = (-(*n) + 1) * *incy + 1;
}
i__1 = *n;
for (i__ = 1; i__ <= i__1; ++i__) {
dtemp += dx[ix] * dy[iy];
ix += *incx;
iy += *incy;
}
}
ret_val = dtemp;
return ret_val;
} // ddot_
-14369
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-444
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@@ -1,444 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b DGEMM
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
// Definition:
// ===========
//
// SUBROUTINE DGEMM(TRANSA,TRANSB,M,N,K,ALPHA,A,LDA,B,LDB,BETA,C,LDC)
//
// .. Scalar Arguments ..
// DOUBLE PRECISION ALPHA,BETA
// INTEGER K,LDA,LDB,LDC,M,N
// CHARACTER TRANSA,TRANSB
// ..
// .. Array Arguments ..
// DOUBLE PRECISION A(LDA,*),B(LDB,*),C(LDC,*)
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DGEMM performs one of the matrix-matrix operations
//>
//> C := alpha*op( A )*op( B ) + beta*C,
//>
//> where op( X ) is one of
//>
//> op( X ) = X or op( X ) = X**T,
//>
//> alpha and beta are scalars, and A, B and C are matrices, with op( A )
//> an m by k matrix, op( B ) a k by n matrix and C an m by n matrix.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] TRANSA
//> \verbatim
//> TRANSA is CHARACTER*1
//> On entry, TRANSA specifies the form of op( A ) to be used in
//> the matrix multiplication as follows:
//>
//> TRANSA = 'N' or 'n', op( A ) = A.
//>
//> TRANSA = 'T' or 't', op( A ) = A**T.
//>
//> TRANSA = 'C' or 'c', op( A ) = A**T.
//> \endverbatim
//>
//> \param[in] TRANSB
//> \verbatim
//> TRANSB is CHARACTER*1
//> On entry, TRANSB specifies the form of op( B ) to be used in
//> the matrix multiplication as follows:
//>
//> TRANSB = 'N' or 'n', op( B ) = B.
//>
//> TRANSB = 'T' or 't', op( B ) = B**T.
//>
//> TRANSB = 'C' or 'c', op( B ) = B**T.
//> \endverbatim
//>
//> \param[in] M
//> \verbatim
//> M is INTEGER
//> On entry, M specifies the number of rows of the matrix
//> op( A ) and of the matrix C. M must be at least zero.
//> \endverbatim
//>
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> On entry, N specifies the number of columns of the matrix
//> op( B ) and the number of columns of the matrix C. N must be
//> at least zero.
//> \endverbatim
//>
//> \param[in] K
//> \verbatim
//> K is INTEGER
//> On entry, K specifies the number of columns of the matrix
//> op( A ) and the number of rows of the matrix op( B ). K must
//> be at least zero.
//> \endverbatim
//>
//> \param[in] ALPHA
//> \verbatim
//> ALPHA is DOUBLE PRECISION.
//> On entry, ALPHA specifies the scalar alpha.
//> \endverbatim
//>
//> \param[in] A
//> \verbatim
//> A is DOUBLE PRECISION array, dimension ( LDA, ka ), where ka is
//> k when TRANSA = 'N' or 'n', and is m otherwise.
//> Before entry with TRANSA = 'N' or 'n', the leading m by k
//> part of the array A must contain the matrix A, otherwise
//> the leading k by m part of the array A must contain the
//> matrix A.
//> \endverbatim
//>
//> \param[in] LDA
//> \verbatim
//> LDA is INTEGER
//> On entry, LDA specifies the first dimension of A as declared
//> in the calling (sub) program. When TRANSA = 'N' or 'n' then
//> LDA must be at least max( 1, m ), otherwise LDA must be at
//> least max( 1, k ).
//> \endverbatim
//>
//> \param[in] B
//> \verbatim
//> B is DOUBLE PRECISION array, dimension ( LDB, kb ), where kb is
//> n when TRANSB = 'N' or 'n', and is k otherwise.
//> Before entry with TRANSB = 'N' or 'n', the leading k by n
//> part of the array B must contain the matrix B, otherwise
//> the leading n by k part of the array B must contain the
//> matrix B.
//> \endverbatim
//>
//> \param[in] LDB
//> \verbatim
//> LDB is INTEGER
//> On entry, LDB specifies the first dimension of B as declared
//> in the calling (sub) program. When TRANSB = 'N' or 'n' then
//> LDB must be at least max( 1, k ), otherwise LDB must be at
//> least max( 1, n ).
//> \endverbatim
//>
//> \param[in] BETA
//> \verbatim
//> BETA is DOUBLE PRECISION.
//> On entry, BETA specifies the scalar beta. When BETA is
//> supplied as zero then C need not be set on input.
//> \endverbatim
//>
//> \param[in,out] C
//> \verbatim
//> C is DOUBLE PRECISION array, dimension ( LDC, N )
//> Before entry, the leading m by n part of the array C must
//> contain the matrix C, except when beta is zero, in which
//> case C need not be set on entry.
//> On exit, the array C is overwritten by the m by n matrix
//> ( alpha*op( A )*op( B ) + beta*C ).
//> \endverbatim
//>
//> \param[in] LDC
//> \verbatim
//> LDC is INTEGER
//> On entry, LDC specifies the first dimension of C as declared
//> in the calling (sub) program. LDC must be at least
//> max( 1, m ).
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date December 2016
//
//> \ingroup double_blas_level3
//
//> \par Further Details:
// =====================
//>
//> \verbatim
//>
//> Level 3 Blas routine.
//>
//> -- Written on 8-February-1989.
//> Jack Dongarra, Argonne National Laboratory.
//> Iain Duff, AERE Harwell.
//> Jeremy Du Croz, Numerical Algorithms Group Ltd.
//> Sven Hammarling, Numerical Algorithms Group Ltd.
//> \endverbatim
//>
// =====================================================================
/* Subroutine */ int dgemm_(char *transa, char *transb, int *m, int *n, int *
k, double *alpha, double *a, int *lda, double *b, int *ldb, double *
beta, double *c__, int *ldc)
{
// System generated locals
int a_dim1, a_offset, b_dim1, b_offset, c_dim1, c_offset, i__1, i__2,
i__3;
// Local variables
int i__, j, l, info;
int nota, notb;
double temp;
int ncola;
extern int lsame_(char *, char *);
int nrowa, nrowb;
extern /* Subroutine */ int xerbla_(char *, int *);
//
// -- Reference BLAS level3 routine (version 3.7.0) --
// -- Reference BLAS is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// December 2016
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. External Functions ..
// ..
// .. External Subroutines ..
// ..
// .. Intrinsic Functions ..
// ..
// .. Local Scalars ..
// ..
// .. Parameters ..
// ..
//
// Set NOTA and NOTB as true if A and B respectively are not
// transposed and set NROWA, NCOLA and NROWB as the number of rows
// and columns of A and the number of rows of B respectively.
//
// Parameter adjustments
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
b_dim1 = *ldb;
b_offset = 1 + b_dim1;
b -= b_offset;
c_dim1 = *ldc;
c_offset = 1 + c_dim1;
c__ -= c_offset;
// Function Body
nota = lsame_(transa, "N");
notb = lsame_(transb, "N");
if (nota) {
nrowa = *m;
ncola = *k;
} else {
nrowa = *k;
ncola = *m;
}
if (notb) {
nrowb = *k;
} else {
nrowb = *n;
}
//
// Test the input parameters.
//
info = 0;
if (! nota && ! lsame_(transa, "C") && ! lsame_(transa, "T")) {
info = 1;
} else if (! notb && ! lsame_(transb, "C") && ! lsame_(transb, "T")) {
info = 2;
} else if (*m < 0) {
info = 3;
} else if (*n < 0) {
info = 4;
} else if (*k < 0) {
info = 5;
} else if (*lda < max(1,nrowa)) {
info = 8;
} else if (*ldb < max(1,nrowb)) {
info = 10;
} else if (*ldc < max(1,*m)) {
info = 13;
}
if (info != 0) {
xerbla_("DGEMM ", &info);
return 0;
}
//
// Quick return if possible.
//
if (*m == 0 || *n == 0 || (*alpha == 0. || *k == 0) && *beta == 1.) {
return 0;
}
//
// And if alpha.eq.zero.
//
if (*alpha == 0.) {
if (*beta == 0.) {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
c__[i__ + j * c_dim1] = 0.;
// L10:
}
// L20:
}
} else {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
c__[i__ + j * c_dim1] = *beta * c__[i__ + j * c_dim1];
// L30:
}
// L40:
}
}
return 0;
}
//
// Start the operations.
//
if (notb) {
if (nota) {
//
// Form C := alpha*A*B + beta*C.
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
if (*beta == 0.) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
c__[i__ + j * c_dim1] = 0.;
// L50:
}
} else if (*beta != 1.) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
c__[i__ + j * c_dim1] = *beta * c__[i__ + j * c_dim1];
// L60:
}
}
i__2 = *k;
for (l = 1; l <= i__2; ++l) {
temp = *alpha * b[l + j * b_dim1];
i__3 = *m;
for (i__ = 1; i__ <= i__3; ++i__) {
c__[i__ + j * c_dim1] += temp * a[i__ + l * a_dim1];
// L70:
}
// L80:
}
// L90:
}
} else {
//
// Form C := alpha*A**T*B + beta*C
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
temp = 0.;
i__3 = *k;
for (l = 1; l <= i__3; ++l) {
temp += a[l + i__ * a_dim1] * b[l + j * b_dim1];
// L100:
}
if (*beta == 0.) {
c__[i__ + j * c_dim1] = *alpha * temp;
} else {
c__[i__ + j * c_dim1] = *alpha * temp + *beta * c__[
i__ + j * c_dim1];
}
// L110:
}
// L120:
}
}
} else {
if (nota) {
//
// Form C := alpha*A*B**T + beta*C
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
if (*beta == 0.) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
c__[i__ + j * c_dim1] = 0.;
// L130:
}
} else if (*beta != 1.) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
c__[i__ + j * c_dim1] = *beta * c__[i__ + j * c_dim1];
// L140:
}
}
i__2 = *k;
for (l = 1; l <= i__2; ++l) {
temp = *alpha * b[j + l * b_dim1];
i__3 = *m;
for (i__ = 1; i__ <= i__3; ++i__) {
c__[i__ + j * c_dim1] += temp * a[i__ + l * a_dim1];
// L150:
}
// L160:
}
// L170:
}
} else {
//
// Form C := alpha*A**T*B**T + beta*C
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
temp = 0.;
i__3 = *k;
for (l = 1; l <= i__3; ++l) {
temp += a[l + i__ * a_dim1] * b[j + l * b_dim1];
// L180:
}
if (*beta == 0.) {
c__[i__ + j * c_dim1] = *alpha * temp;
} else {
c__[i__ + j * c_dim1] = *alpha * temp + *beta * c__[
i__ + j * c_dim1];
}
// L190:
}
// L200:
}
}
}
return 0;
//
// End of DGEMM .
//
} // dgemm_
-370
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@@ -1,370 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b DGEMV
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
// Definition:
// ===========
//
// SUBROUTINE DGEMV(TRANS,M,N,ALPHA,A,LDA,X,INCX,BETA,Y,INCY)
//
// .. Scalar Arguments ..
// DOUBLE PRECISION ALPHA,BETA
// INTEGER INCX,INCY,LDA,M,N
// CHARACTER TRANS
// ..
// .. Array Arguments ..
// DOUBLE PRECISION A(LDA,*),X(*),Y(*)
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DGEMV performs one of the matrix-vector operations
//>
//> y := alpha*A*x + beta*y, or y := alpha*A**T*x + beta*y,
//>
//> where alpha and beta are scalars, x and y are vectors and A is an
//> m by n matrix.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] TRANS
//> \verbatim
//> TRANS is CHARACTER*1
//> On entry, TRANS specifies the operation to be performed as
//> follows:
//>
//> TRANS = 'N' or 'n' y := alpha*A*x + beta*y.
//>
//> TRANS = 'T' or 't' y := alpha*A**T*x + beta*y.
//>
//> TRANS = 'C' or 'c' y := alpha*A**T*x + beta*y.
//> \endverbatim
//>
//> \param[in] M
//> \verbatim
//> M is INTEGER
//> On entry, M specifies the number of rows of the matrix A.
//> M must be at least zero.
//> \endverbatim
//>
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> On entry, N specifies the number of columns of the matrix A.
//> N must be at least zero.
//> \endverbatim
//>
//> \param[in] ALPHA
//> \verbatim
//> ALPHA is DOUBLE PRECISION.
//> On entry, ALPHA specifies the scalar alpha.
//> \endverbatim
//>
//> \param[in] A
//> \verbatim
//> A is DOUBLE PRECISION array, dimension ( LDA, N )
//> Before entry, the leading m by n part of the array A must
//> contain the matrix of coefficients.
//> \endverbatim
//>
//> \param[in] LDA
//> \verbatim
//> LDA is INTEGER
//> On entry, LDA specifies the first dimension of A as declared
//> in the calling (sub) program. LDA must be at least
//> max( 1, m ).
//> \endverbatim
//>
//> \param[in] X
//> \verbatim
//> X is DOUBLE PRECISION array, dimension at least
//> ( 1 + ( n - 1 )*abs( INCX ) ) when TRANS = 'N' or 'n'
//> and at least
//> ( 1 + ( m - 1 )*abs( INCX ) ) otherwise.
//> Before entry, the incremented array X must contain the
//> vector x.
//> \endverbatim
//>
//> \param[in] INCX
//> \verbatim
//> INCX is INTEGER
//> On entry, INCX specifies the increment for the elements of
//> X. INCX must not be zero.
//> \endverbatim
//>
//> \param[in] BETA
//> \verbatim
//> BETA is DOUBLE PRECISION.
//> On entry, BETA specifies the scalar beta. When BETA is
//> supplied as zero then Y need not be set on input.
//> \endverbatim
//>
//> \param[in,out] Y
//> \verbatim
//> Y is DOUBLE PRECISION array, dimension at least
//> ( 1 + ( m - 1 )*abs( INCY ) ) when TRANS = 'N' or 'n'
//> and at least
//> ( 1 + ( n - 1 )*abs( INCY ) ) otherwise.
//> Before entry with BETA non-zero, the incremented array Y
//> must contain the vector y. On exit, Y is overwritten by the
//> updated vector y.
//> \endverbatim
//>
//> \param[in] INCY
//> \verbatim
//> INCY is INTEGER
//> On entry, INCY specifies the increment for the elements of
//> Y. INCY must not be zero.
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date December 2016
//
//> \ingroup double_blas_level2
//
//> \par Further Details:
// =====================
//>
//> \verbatim
//>
//> Level 2 Blas routine.
//> The vector and matrix arguments are not referenced when N = 0, or M = 0
//>
//> -- Written on 22-October-1986.
//> Jack Dongarra, Argonne National Lab.
//> Jeremy Du Croz, Nag Central Office.
//> Sven Hammarling, Nag Central Office.
//> Richard Hanson, Sandia National Labs.
//> \endverbatim
//>
// =====================================================================
/* Subroutine */ int dgemv_(char *trans, int *m, int *n, double *alpha,
double *a, int *lda, double *x, int *incx, double *beta, double *y,
int *incy)
{
// System generated locals
int a_dim1, a_offset, i__1, i__2;
// Local variables
int i__, j, ix, iy, jx, jy, kx, ky, info;
double temp;
int lenx, leny;
extern int lsame_(char *, char *);
extern /* Subroutine */ int xerbla_(char *, int *);
//
// -- Reference BLAS level2 routine (version 3.7.0) --
// -- Reference BLAS is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// December 2016
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. Parameters ..
// ..
// .. Local Scalars ..
// ..
// .. External Functions ..
// ..
// .. External Subroutines ..
// ..
// .. Intrinsic Functions ..
// ..
//
// Test the input parameters.
//
// Parameter adjustments
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
--x;
--y;
// Function Body
info = 0;
if (! lsame_(trans, "N") && ! lsame_(trans, "T") && ! lsame_(trans, "C"))
{
info = 1;
} else if (*m < 0) {
info = 2;
} else if (*n < 0) {
info = 3;
} else if (*lda < max(1,*m)) {
info = 6;
} else if (*incx == 0) {
info = 8;
} else if (*incy == 0) {
info = 11;
}
if (info != 0) {
xerbla_("DGEMV ", &info);
return 0;
}
//
// Quick return if possible.
//
if (*m == 0 || *n == 0 || *alpha == 0. && *beta == 1.) {
return 0;
}
//
// Set LENX and LENY, the lengths of the vectors x and y, and set
// up the start points in X and Y.
//
if (lsame_(trans, "N")) {
lenx = *n;
leny = *m;
} else {
lenx = *m;
leny = *n;
}
if (*incx > 0) {
kx = 1;
} else {
kx = 1 - (lenx - 1) * *incx;
}
if (*incy > 0) {
ky = 1;
} else {
ky = 1 - (leny - 1) * *incy;
}
//
// Start the operations. In this version the elements of A are
// accessed sequentially with one pass through A.
//
// First form y := beta*y.
//
if (*beta != 1.) {
if (*incy == 1) {
if (*beta == 0.) {
i__1 = leny;
for (i__ = 1; i__ <= i__1; ++i__) {
y[i__] = 0.;
// L10:
}
} else {
i__1 = leny;
for (i__ = 1; i__ <= i__1; ++i__) {
y[i__] = *beta * y[i__];
// L20:
}
}
} else {
iy = ky;
if (*beta == 0.) {
i__1 = leny;
for (i__ = 1; i__ <= i__1; ++i__) {
y[iy] = 0.;
iy += *incy;
// L30:
}
} else {
i__1 = leny;
for (i__ = 1; i__ <= i__1; ++i__) {
y[iy] = *beta * y[iy];
iy += *incy;
// L40:
}
}
}
}
if (*alpha == 0.) {
return 0;
}
if (lsame_(trans, "N")) {
//
// Form y := alpha*A*x + y.
//
jx = kx;
if (*incy == 1) {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
temp = *alpha * x[jx];
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
y[i__] += temp * a[i__ + j * a_dim1];
// L50:
}
jx += *incx;
// L60:
}
} else {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
temp = *alpha * x[jx];
iy = ky;
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
y[iy] += temp * a[i__ + j * a_dim1];
iy += *incy;
// L70:
}
jx += *incx;
// L80:
}
}
} else {
//
// Form y := alpha*A**T*x + y.
//
jy = ky;
if (*incx == 1) {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
temp = 0.;
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
temp += a[i__ + j * a_dim1] * x[i__];
// L90:
}
y[jy] += *alpha * temp;
jy += *incy;
// L100:
}
} else {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
temp = 0.;
ix = kx;
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
temp += a[i__ + j * a_dim1] * x[ix];
ix += *incx;
// L110:
}
y[jy] += *alpha * temp;
jy += *incy;
// L120:
}
}
}
return 0;
//
// End of DGEMV .
//
} // dgemv_
-18599
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-186
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@@ -1,186 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b DISNAN tests input for NaN.
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
//> \htmlonly
//> Download DISNAN + dependencies
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/disnan.f">
//> [TGZ]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/disnan.f">
//> [ZIP]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/disnan.f">
//> [TXT]</a>
//> \endhtmlonly
//
// Definition:
// ===========
//
// LOGICAL FUNCTION DISNAN( DIN )
//
// .. Scalar Arguments ..
// DOUBLE PRECISION, INTENT(IN) :: DIN
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DISNAN returns .TRUE. if its argument is NaN, and .FALSE.
//> otherwise. To be replaced by the Fortran 2003 intrinsic in the
//> future.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] DIN
//> \verbatim
//> DIN is DOUBLE PRECISION
//> Input to test for NaN.
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date June 2017
//
//> \ingroup OTHERauxiliary
//
// =====================================================================
int disnan_(double *din)
{
// System generated locals
int ret_val;
// Local variables
extern int dlaisnan_(double *, double *);
//
// -- LAPACK auxiliary routine (version 3.7.1) --
// -- LAPACK is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// June 2017
//
// .. Scalar Arguments ..
// ..
//
// =====================================================================
//
// .. External Functions ..
// ..
// .. Executable Statements ..
ret_val = dlaisnan_(din, din);
return ret_val;
} // disnan_
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
//> \brief \b DLAISNAN tests input for NaN by comparing two arguments for inequality.
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
//> \htmlonly
//> Download DLAISNAN + dependencies
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dlaisnan.f">
//> [TGZ]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dlaisnan.f">
//> [ZIP]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dlaisnan.f">
//> [TXT]</a>
//> \endhtmlonly
//
// Definition:
// ===========
//
// LOGICAL FUNCTION DLAISNAN( DIN1, DIN2 )
//
// .. Scalar Arguments ..
// DOUBLE PRECISION, INTENT(IN) :: DIN1, DIN2
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> This routine is not for general use. It exists solely to avoid
//> over-optimization in DISNAN.
//>
//> DLAISNAN checks for NaNs by comparing its two arguments for
//> inequality. NaN is the only floating-point value where NaN != NaN
//> returns .TRUE. To check for NaNs, pass the same variable as both
//> arguments.
//>
//> A compiler must assume that the two arguments are
//> not the same variable, and the test will not be optimized away.
//> Interprocedural or whole-program optimization may delete this
//> test. The ISNAN functions will be replaced by the correct
//> Fortran 03 intrinsic once the intrinsic is widely available.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] DIN1
//> \verbatim
//> DIN1 is DOUBLE PRECISION
//> \endverbatim
//>
//> \param[in] DIN2
//> \verbatim
//> DIN2 is DOUBLE PRECISION
//> Two numbers to compare for inequality.
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date June 2017
//
//> \ingroup OTHERauxiliary
//
// =====================================================================
int dlaisnan_(double *din1, double *din2)
{
// System generated locals
int ret_val;
//
// -- LAPACK auxiliary routine (version 3.7.1) --
// -- LAPACK is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// June 2017
//
// .. Scalar Arguments ..
// ..
//
// =====================================================================
//
// .. Executable Statements ..
ret_val = *din1 != *din2;
return ret_val;
} // dlaisnan_
-184
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@@ -1,184 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b DLACPY copies all or part of one two-dimensional array to another.
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
//> \htmlonly
//> Download DLACPY + dependencies
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dlacpy.f">
//> [TGZ]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dlacpy.f">
//> [ZIP]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dlacpy.f">
//> [TXT]</a>
//> \endhtmlonly
//
// Definition:
// ===========
//
// SUBROUTINE DLACPY( UPLO, M, N, A, LDA, B, LDB )
//
// .. Scalar Arguments ..
// CHARACTER UPLO
// INTEGER LDA, LDB, M, N
// ..
// .. Array Arguments ..
// DOUBLE PRECISION A( LDA, * ), B( LDB, * )
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DLACPY copies all or part of a two-dimensional matrix A to another
//> matrix B.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] UPLO
//> \verbatim
//> UPLO is CHARACTER*1
//> Specifies the part of the matrix A to be copied to B.
//> = 'U': Upper triangular part
//> = 'L': Lower triangular part
//> Otherwise: All of the matrix A
//> \endverbatim
//>
//> \param[in] M
//> \verbatim
//> M is INTEGER
//> The number of rows of the matrix A. M >= 0.
//> \endverbatim
//>
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> The number of columns of the matrix A. N >= 0.
//> \endverbatim
//>
//> \param[in] A
//> \verbatim
//> A is DOUBLE PRECISION array, dimension (LDA,N)
//> The m by n matrix A. If UPLO = 'U', only the upper triangle
//> or trapezoid is accessed; if UPLO = 'L', only the lower
//> triangle or trapezoid is accessed.
//> \endverbatim
//>
//> \param[in] LDA
//> \verbatim
//> LDA is INTEGER
//> The leading dimension of the array A. LDA >= max(1,M).
//> \endverbatim
//>
//> \param[out] B
//> \verbatim
//> B is DOUBLE PRECISION array, dimension (LDB,N)
//> On exit, B = A in the locations specified by UPLO.
//> \endverbatim
//>
//> \param[in] LDB
//> \verbatim
//> LDB is INTEGER
//> The leading dimension of the array B. LDB >= max(1,M).
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date December 2016
//
//> \ingroup OTHERauxiliary
//
// =====================================================================
/* Subroutine */ int dlacpy_(char *uplo, int *m, int *n, double *a, int *lda,
double *b, int *ldb)
{
// System generated locals
int a_dim1, a_offset, b_dim1, b_offset, i__1, i__2;
// Local variables
int i__, j;
extern int lsame_(char *, char *);
//
// -- LAPACK auxiliary routine (version 3.7.0) --
// -- LAPACK is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// December 2016
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. Local Scalars ..
// ..
// .. External Functions ..
// ..
// .. Intrinsic Functions ..
// ..
// .. Executable Statements ..
//
// Parameter adjustments
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
b_dim1 = *ldb;
b_offset = 1 + b_dim1;
b -= b_offset;
// Function Body
if (lsame_(uplo, "U")) {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = min(j,*m);
for (i__ = 1; i__ <= i__2; ++i__) {
b[i__ + j * b_dim1] = a[i__ + j * a_dim1];
// L10:
}
// L20:
}
} else if (lsame_(uplo, "L")) {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = j; i__ <= i__2; ++i__) {
b[i__ + j * b_dim1] = a[i__ + j * a_dim1];
// L30:
}
// L40:
}
} else {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
b[i__ + j * b_dim1] = a[i__ + j * a_dim1];
// L50:
}
// L60:
}
}
return 0;
//
// End of DLACPY
//
} // dlacpy_
-367
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@@ -1,367 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b DCOMBSSQ adds two scaled sum of squares quantities.
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
//
// Definition:
// ===========
//
// SUBROUTINE DCOMBSSQ( V1, V2 )
//
// .. Array Arguments ..
// DOUBLE PRECISION V1( 2 ), V2( 2 )
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DCOMBSSQ adds two scaled sum of squares quantities, V1 := V1 + V2.
//> That is,
//>
//> V1_scale**2 * V1_sumsq := V1_scale**2 * V1_sumsq
//> + V2_scale**2 * V2_sumsq
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in,out] V1
//> \verbatim
//> V1 is DOUBLE PRECISION array, dimension (2).
//> The first scaled sum.
//> V1(1) = V1_scale, V1(2) = V1_sumsq.
//> \endverbatim
//>
//> \param[in] V2
//> \verbatim
//> V2 is DOUBLE PRECISION array, dimension (2).
//> The second scaled sum.
//> V2(1) = V2_scale, V2(2) = V2_sumsq.
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date November 2018
//
//> \ingroup OTHERauxiliary
//
// =====================================================================
/* Subroutine */ int dcombssq_(double *v1, double *v2)
{
// System generated locals
double d__1;
//
// -- LAPACK auxiliary routine (version 3.7.0) --
// -- LAPACK is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// November 2018
//
// .. Array Arguments ..
// ..
//
//=====================================================================
//
// .. Parameters ..
// ..
// .. Executable Statements ..
//
// Parameter adjustments
--v2;
--v1;
// Function Body
if (v1[1] >= v2[1]) {
if (v1[1] != 0.) {
// Computing 2nd power
d__1 = v2[1] / v1[1];
v1[2] += d__1 * d__1 * v2[2];
}
} else {
// Computing 2nd power
d__1 = v1[1] / v2[1];
v1[2] = v2[2] + d__1 * d__1 * v1[2];
v1[1] = v2[1];
}
return 0;
//
// End of DCOMBSSQ
//
} // dcombssq_
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
//> \brief \b DLANGE returns the value of the 1-norm, Frobenius norm, infinity-norm, or the largest absolute value of any element of a general rectangular matrix.
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
//> \htmlonly
//> Download DLANGE + dependencies
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dlange.f">
//> [TGZ]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dlange.f">
//> [ZIP]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dlange.f">
//> [TXT]</a>
//> \endhtmlonly
//
// Definition:
// ===========
//
// DOUBLE PRECISION FUNCTION DLANGE( NORM, M, N, A, LDA, WORK )
//
// .. Scalar Arguments ..
// CHARACTER NORM
// INTEGER LDA, M, N
// ..
// .. Array Arguments ..
// DOUBLE PRECISION A( LDA, * ), WORK( * )
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DLANGE returns the value of the one norm, or the Frobenius norm, or
//> the infinity norm, or the element of largest absolute value of a
//> real matrix A.
//> \endverbatim
//>
//> \return DLANGE
//> \verbatim
//>
//> DLANGE = ( max(abs(A(i,j))), NORM = 'M' or 'm'
//> (
//> ( norm1(A), NORM = '1', 'O' or 'o'
//> (
//> ( normI(A), NORM = 'I' or 'i'
//> (
//> ( normF(A), NORM = 'F', 'f', 'E' or 'e'
//>
//> where norm1 denotes the one norm of a matrix (maximum column sum),
//> normI denotes the infinity norm of a matrix (maximum row sum) and
//> normF denotes the Frobenius norm of a matrix (square root of sum of
//> squares). Note that max(abs(A(i,j))) is not a consistent matrix norm.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] NORM
//> \verbatim
//> NORM is CHARACTER*1
//> Specifies the value to be returned in DLANGE as described
//> above.
//> \endverbatim
//>
//> \param[in] M
//> \verbatim
//> M is INTEGER
//> The number of rows of the matrix A. M >= 0. When M = 0,
//> DLANGE is set to zero.
//> \endverbatim
//>
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> The number of columns of the matrix A. N >= 0. When N = 0,
//> DLANGE is set to zero.
//> \endverbatim
//>
//> \param[in] A
//> \verbatim
//> A is DOUBLE PRECISION array, dimension (LDA,N)
//> The m by n matrix A.
//> \endverbatim
//>
//> \param[in] LDA
//> \verbatim
//> LDA is INTEGER
//> The leading dimension of the array A. LDA >= max(M,1).
//> \endverbatim
//>
//> \param[out] WORK
//> \verbatim
//> WORK is DOUBLE PRECISION array, dimension (MAX(1,LWORK)),
//> where LWORK >= M when NORM = 'I'; otherwise, WORK is not
//> referenced.
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date December 2016
//
//> \ingroup doubleGEauxiliary
//
// =====================================================================
double dlange_(char *norm, int *m, int *n, double *a, int *lda, double *work)
{
// Table of constant values
int c__1 = 1;
// System generated locals
int a_dim1, a_offset, i__1, i__2;
double ret_val, d__1;
// Local variables
extern /* Subroutine */ int dcombssq_(double *, double *);
int i__, j;
double sum, ssq[2], temp;
extern int lsame_(char *, char *);
double value;
extern int disnan_(double *);
extern /* Subroutine */ int dlassq_(int *, double *, int *, double *,
double *);
double colssq[2];
//
// -- LAPACK auxiliary routine (version 3.7.0) --
// -- LAPACK is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// December 2016
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
//=====================================================================
//
// .. Parameters ..
// ..
// .. Local Scalars ..
// ..
// .. Local Arrays ..
// ..
// .. External Subroutines ..
// ..
// .. External Functions ..
// ..
// .. Intrinsic Functions ..
// ..
// .. Executable Statements ..
//
// Parameter adjustments
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
--work;
// Function Body
if (min(*m,*n) == 0) {
value = 0.;
} else if (lsame_(norm, "M")) {
//
// Find max(abs(A(i,j))).
//
value = 0.;
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
temp = (d__1 = a[i__ + j * a_dim1], abs(d__1));
if (value < temp || disnan_(&temp)) {
value = temp;
}
// L10:
}
// L20:
}
} else if (lsame_(norm, "O") || *(unsigned char *)norm == '1') {
//
// Find norm1(A).
//
value = 0.;
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
sum = 0.;
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
sum += (d__1 = a[i__ + j * a_dim1], abs(d__1));
// L30:
}
if (value < sum || disnan_(&sum)) {
value = sum;
}
// L40:
}
} else if (lsame_(norm, "I")) {
//
// Find normI(A).
//
i__1 = *m;
for (i__ = 1; i__ <= i__1; ++i__) {
work[i__] = 0.;
// L50:
}
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
work[i__] += (d__1 = a[i__ + j * a_dim1], abs(d__1));
// L60:
}
// L70:
}
value = 0.;
i__1 = *m;
for (i__ = 1; i__ <= i__1; ++i__) {
temp = work[i__];
if (value < temp || disnan_(&temp)) {
value = temp;
}
// L80:
}
} else if (lsame_(norm, "F") || lsame_(norm, "E")) {
//
// Find normF(A).
// SSQ(1) is scale
// SSQ(2) is sum-of-squares
// For better accuracy, sum each column separately.
//
ssq[0] = 0.;
ssq[1] = 1.;
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
colssq[0] = 0.;
colssq[1] = 1.;
dlassq_(m, &a[j * a_dim1 + 1], &c__1, colssq, &colssq[1]);
dcombssq_(ssq, colssq);
// L90:
}
value = ssq[0] * sqrt(ssq[1]);
}
ret_val = value;
return ret_val;
//
// End of DLANGE
//
} // dlange_
-125
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@@ -1,125 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b DLAPY2 returns sqrt(x2+y2).
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
//> \htmlonly
//> Download DLAPY2 + dependencies
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dlapy2.f">
//> [TGZ]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dlapy2.f">
//> [ZIP]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dlapy2.f">
//> [TXT]</a>
//> \endhtmlonly
//
// Definition:
// ===========
//
// DOUBLE PRECISION FUNCTION DLAPY2( X, Y )
//
// .. Scalar Arguments ..
// DOUBLE PRECISION X, Y
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DLAPY2 returns sqrt(x**2+y**2), taking care not to cause unnecessary
//> overflow.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] X
//> \verbatim
//> X is DOUBLE PRECISION
//> \endverbatim
//>
//> \param[in] Y
//> \verbatim
//> Y is DOUBLE PRECISION
//> X and Y specify the values x and y.
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date June 2017
//
//> \ingroup OTHERauxiliary
//
// =====================================================================
double dlapy2_(double *x, double *y)
{
// System generated locals
double ret_val, d__1;
// Local variables
int x_is_nan__, y_is_nan__;
double w, z__, xabs, yabs;
extern int disnan_(double *);
//
// -- LAPACK auxiliary routine (version 3.7.1) --
// -- LAPACK is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// June 2017
//
// .. Scalar Arguments ..
// ..
//
// =====================================================================
//
// .. Parameters ..
// ..
// .. Local Scalars ..
// ..
// .. External Functions ..
// ..
// .. Intrinsic Functions ..
// ..
// .. Executable Statements ..
//
x_is_nan__ = disnan_(x);
y_is_nan__ = disnan_(y);
if (x_is_nan__) {
ret_val = *x;
}
if (y_is_nan__) {
ret_val = *y;
}
if (! (x_is_nan__ || y_is_nan__)) {
xabs = abs(*x);
yabs = abs(*y);
w = max(xabs,yabs);
z__ = min(xabs,yabs);
if (z__ == 0.) {
ret_val = w;
} else {
// Computing 2nd power
d__1 = z__ / w;
ret_val = w * sqrt(d__1 * d__1 + 1.);
}
}
return ret_val;
//
// End of DLAPY2
//
} // dlapy2_
-768
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@@ -1,768 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b DGER
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
// Definition:
// ===========
//
// SUBROUTINE DGER(M,N,ALPHA,X,INCX,Y,INCY,A,LDA)
//
// .. Scalar Arguments ..
// DOUBLE PRECISION ALPHA
// INTEGER INCX,INCY,LDA,M,N
// ..
// .. Array Arguments ..
// DOUBLE PRECISION A(LDA,*),X(*),Y(*)
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DGER performs the rank 1 operation
//>
//> A := alpha*x*y**T + A,
//>
//> where alpha is a scalar, x is an m element vector, y is an n element
//> vector and A is an m by n matrix.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] M
//> \verbatim
//> M is INTEGER
//> On entry, M specifies the number of rows of the matrix A.
//> M must be at least zero.
//> \endverbatim
//>
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> On entry, N specifies the number of columns of the matrix A.
//> N must be at least zero.
//> \endverbatim
//>
//> \param[in] ALPHA
//> \verbatim
//> ALPHA is DOUBLE PRECISION.
//> On entry, ALPHA specifies the scalar alpha.
//> \endverbatim
//>
//> \param[in] X
//> \verbatim
//> X is DOUBLE PRECISION array, dimension at least
//> ( 1 + ( m - 1 )*abs( INCX ) ).
//> Before entry, the incremented array X must contain the m
//> element vector x.
//> \endverbatim
//>
//> \param[in] INCX
//> \verbatim
//> INCX is INTEGER
//> On entry, INCX specifies the increment for the elements of
//> X. INCX must not be zero.
//> \endverbatim
//>
//> \param[in] Y
//> \verbatim
//> Y is DOUBLE PRECISION array, dimension at least
//> ( 1 + ( n - 1 )*abs( INCY ) ).
//> Before entry, the incremented array Y must contain the n
//> element vector y.
//> \endverbatim
//>
//> \param[in] INCY
//> \verbatim
//> INCY is INTEGER
//> On entry, INCY specifies the increment for the elements of
//> Y. INCY must not be zero.
//> \endverbatim
//>
//> \param[in,out] A
//> \verbatim
//> A is DOUBLE PRECISION array, dimension ( LDA, N )
//> Before entry, the leading m by n part of the array A must
//> contain the matrix of coefficients. On exit, A is
//> overwritten by the updated matrix.
//> \endverbatim
//>
//> \param[in] LDA
//> \verbatim
//> LDA is INTEGER
//> On entry, LDA specifies the first dimension of A as declared
//> in the calling (sub) program. LDA must be at least
//> max( 1, m ).
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date December 2016
//
//> \ingroup double_blas_level2
//
//> \par Further Details:
// =====================
//>
//> \verbatim
//>
//> Level 2 Blas routine.
//>
//> -- Written on 22-October-1986.
//> Jack Dongarra, Argonne National Lab.
//> Jeremy Du Croz, Nag Central Office.
//> Sven Hammarling, Nag Central Office.
//> Richard Hanson, Sandia National Labs.
//> \endverbatim
//>
// =====================================================================
/* Subroutine */ int dger_(int *m, int *n, double *alpha, double *x, int *
incx, double *y, int *incy, double *a, int *lda)
{
// System generated locals
int a_dim1, a_offset, i__1, i__2;
// Local variables
int i__, j, ix, jy, kx, info;
double temp;
extern /* Subroutine */ int xerbla_(char *, int *);
//
// -- Reference BLAS level2 routine (version 3.7.0) --
// -- Reference BLAS is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// December 2016
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. Parameters ..
// ..
// .. Local Scalars ..
// ..
// .. External Subroutines ..
// ..
// .. Intrinsic Functions ..
// ..
//
// Test the input parameters.
//
// Parameter adjustments
--x;
--y;
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
// Function Body
info = 0;
if (*m < 0) {
info = 1;
} else if (*n < 0) {
info = 2;
} else if (*incx == 0) {
info = 5;
} else if (*incy == 0) {
info = 7;
} else if (*lda < max(1,*m)) {
info = 9;
}
if (info != 0) {
xerbla_("DGER ", &info);
return 0;
}
//
// Quick return if possible.
//
if (*m == 0 || *n == 0 || *alpha == 0.) {
return 0;
}
//
// Start the operations. In this version the elements of A are
// accessed sequentially with one pass through A.
//
if (*incy > 0) {
jy = 1;
} else {
jy = 1 - (*n - 1) * *incy;
}
if (*incx == 1) {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
if (y[jy] != 0.) {
temp = *alpha * y[jy];
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
a[i__ + j * a_dim1] += x[i__] * temp;
// L10:
}
}
jy += *incy;
// L20:
}
} else {
if (*incx > 0) {
kx = 1;
} else {
kx = 1 - (*m - 1) * *incx;
}
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
if (y[jy] != 0.) {
temp = *alpha * y[jy];
ix = kx;
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
a[i__ + j * a_dim1] += x[ix] * temp;
ix += *incx;
// L30:
}
}
jy += *incy;
// L40:
}
}
return 0;
//
// End of DGER .
//
} // dger_
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
//> \brief \b DLARF applies an elementary reflector to a general rectangular matrix.
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
//> \htmlonly
//> Download DLARF + dependencies
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dlarf.f">
//> [TGZ]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dlarf.f">
//> [ZIP]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dlarf.f">
//> [TXT]</a>
//> \endhtmlonly
//
// Definition:
// ===========
//
// SUBROUTINE DLARF( SIDE, M, N, V, INCV, TAU, C, LDC, WORK )
//
// .. Scalar Arguments ..
// CHARACTER SIDE
// INTEGER INCV, LDC, M, N
// DOUBLE PRECISION TAU
// ..
// .. Array Arguments ..
// DOUBLE PRECISION C( LDC, * ), V( * ), WORK( * )
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DLARF applies a real elementary reflector H to a real m by n matrix
//> C, from either the left or the right. H is represented in the form
//>
//> H = I - tau * v * v**T
//>
//> where tau is a real scalar and v is a real vector.
//>
//> If tau = 0, then H is taken to be the unit matrix.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] SIDE
//> \verbatim
//> SIDE is CHARACTER*1
//> = 'L': form H * C
//> = 'R': form C * H
//> \endverbatim
//>
//> \param[in] M
//> \verbatim
//> M is INTEGER
//> The number of rows of the matrix C.
//> \endverbatim
//>
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> The number of columns of the matrix C.
//> \endverbatim
//>
//> \param[in] V
//> \verbatim
//> V is DOUBLE PRECISION array, dimension
//> (1 + (M-1)*abs(INCV)) if SIDE = 'L'
//> or (1 + (N-1)*abs(INCV)) if SIDE = 'R'
//> The vector v in the representation of H. V is not used if
//> TAU = 0.
//> \endverbatim
//>
//> \param[in] INCV
//> \verbatim
//> INCV is INTEGER
//> The increment between elements of v. INCV <> 0.
//> \endverbatim
//>
//> \param[in] TAU
//> \verbatim
//> TAU is DOUBLE PRECISION
//> The value tau in the representation of H.
//> \endverbatim
//>
//> \param[in,out] C
//> \verbatim
//> C is DOUBLE PRECISION array, dimension (LDC,N)
//> On entry, the m by n matrix C.
//> On exit, C is overwritten by the matrix H * C if SIDE = 'L',
//> or C * H if SIDE = 'R'.
//> \endverbatim
//>
//> \param[in] LDC
//> \verbatim
//> LDC is INTEGER
//> The leading dimension of the array C. LDC >= max(1,M).
//> \endverbatim
//>
//> \param[out] WORK
//> \verbatim
//> WORK is DOUBLE PRECISION array, dimension
//> (N) if SIDE = 'L'
//> or (M) if SIDE = 'R'
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date December 2016
//
//> \ingroup doubleOTHERauxiliary
//
// =====================================================================
/* Subroutine */ int dlarf_(char *side, int *m, int *n, double *v, int *incv,
double *tau, double *c__, int *ldc, double *work)
{
// Table of constant values
double c_b4 = 1.;
double c_b5 = 0.;
int c__1 = 1;
// System generated locals
int c_dim1, c_offset;
double d__1;
// Local variables
int i__;
int applyleft;
extern /* Subroutine */ int dger_(int *, int *, double *, double *, int *,
double *, int *, double *, int *);
extern int lsame_(char *, char *);
extern /* Subroutine */ int dgemv_(char *, int *, int *, double *, double
*, int *, double *, int *, double *, double *, int *);
int lastc, lastv;
extern int iladlc_(int *, int *, double *, int *), iladlr_(int *, int *,
double *, int *);
//
// -- LAPACK auxiliary routine (version 3.7.0) --
// -- LAPACK is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// December 2016
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. Parameters ..
// ..
// .. Local Scalars ..
// ..
// .. External Subroutines ..
// ..
// .. External Functions ..
// ..
// .. Executable Statements ..
//
// Parameter adjustments
--v;
c_dim1 = *ldc;
c_offset = 1 + c_dim1;
c__ -= c_offset;
--work;
// Function Body
applyleft = lsame_(side, "L");
lastv = 0;
lastc = 0;
if (*tau != 0.) {
// Set up variables for scanning V. LASTV begins pointing to the end
// of V.
if (applyleft) {
lastv = *m;
} else {
lastv = *n;
}
if (*incv > 0) {
i__ = (lastv - 1) * *incv + 1;
} else {
i__ = 1;
}
// Look for the last non-zero row in V.
while(lastv > 0 && v[i__] == 0.) {
--lastv;
i__ -= *incv;
}
if (applyleft) {
// Scan for the last non-zero column in C(1:lastv,:).
lastc = iladlc_(&lastv, n, &c__[c_offset], ldc);
} else {
// Scan for the last non-zero row in C(:,1:lastv).
lastc = iladlr_(m, &lastv, &c__[c_offset], ldc);
}
}
// Note that lastc.eq.0 renders the BLAS operations null; no special
// case is needed at this level.
if (applyleft) {
//
// Form H * C
//
if (lastv > 0) {
//
// w(1:lastc,1) := C(1:lastv,1:lastc)**T * v(1:lastv,1)
//
dgemv_("Transpose", &lastv, &lastc, &c_b4, &c__[c_offset], ldc, &
v[1], incv, &c_b5, &work[1], &c__1);
//
// C(1:lastv,1:lastc) := C(...) - v(1:lastv,1) * w(1:lastc,1)**T
//
d__1 = -(*tau);
dger_(&lastv, &lastc, &d__1, &v[1], incv, &work[1], &c__1, &c__[
c_offset], ldc);
}
} else {
//
// Form C * H
//
if (lastv > 0) {
//
// w(1:lastc,1) := C(1:lastc,1:lastv) * v(1:lastv,1)
//
dgemv_("No transpose", &lastc, &lastv, &c_b4, &c__[c_offset], ldc,
&v[1], incv, &c_b5, &work[1], &c__1);
//
// C(1:lastc,1:lastv) := C(...) - w(1:lastc,1) * v(1:lastv,1)**T
//
d__1 = -(*tau);
dger_(&lastc, &lastv, &d__1, &work[1], &c__1, &v[1], incv, &c__[
c_offset], ldc);
}
}
return 0;
//
// End of DLARF
//
} // dlarf_
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
//> \brief \b ILADLC scans a matrix for its last non-zero column.
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
//> \htmlonly
//> Download ILADLC + dependencies
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/iladlc.f">
//> [TGZ]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/iladlc.f">
//> [ZIP]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/iladlc.f">
//> [TXT]</a>
//> \endhtmlonly
//
// Definition:
// ===========
//
// INTEGER FUNCTION ILADLC( M, N, A, LDA )
//
// .. Scalar Arguments ..
// INTEGER M, N, LDA
// ..
// .. Array Arguments ..
// DOUBLE PRECISION A( LDA, * )
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> ILADLC scans A for its last non-zero column.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] M
//> \verbatim
//> M is INTEGER
//> The number of rows of the matrix A.
//> \endverbatim
//>
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> The number of columns of the matrix A.
//> \endverbatim
//>
//> \param[in] A
//> \verbatim
//> A is DOUBLE PRECISION array, dimension (LDA,N)
//> The m by n matrix A.
//> \endverbatim
//>
//> \param[in] LDA
//> \verbatim
//> LDA is INTEGER
//> The leading dimension of the array A. LDA >= max(1,M).
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date December 2016
//
//> \ingroup OTHERauxiliary
//
// =====================================================================
int iladlc_(int *m, int *n, double *a, int *lda)
{
// System generated locals
int a_dim1, a_offset, ret_val, i__1;
// Local variables
int i__;
//
// -- LAPACK auxiliary routine (version 3.7.0) --
// -- LAPACK is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// December 2016
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. Parameters ..
// ..
// .. Local Scalars ..
// ..
// .. Executable Statements ..
//
// Quick test for the common case where one corner is non-zero.
// Parameter adjustments
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
// Function Body
if (*n == 0) {
ret_val = *n;
} else if (a[*n * a_dim1 + 1] != 0. || a[*m + *n * a_dim1] != 0.) {
ret_val = *n;
} else {
// Now scan each column from the end, returning with the first non-zero.
for (ret_val = *n; ret_val >= 1; --ret_val) {
i__1 = *m;
for (i__ = 1; i__ <= i__1; ++i__) {
if (a[i__ + ret_val * a_dim1] != 0.) {
return ret_val;
}
}
}
}
return ret_val;
} // iladlc_
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
//> \brief \b ILADLR scans a matrix for its last non-zero row.
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
//> \htmlonly
//> Download ILADLR + dependencies
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/iladlr.f">
//> [TGZ]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/iladlr.f">
//> [ZIP]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/iladlr.f">
//> [TXT]</a>
//> \endhtmlonly
//
// Definition:
// ===========
//
// INTEGER FUNCTION ILADLR( M, N, A, LDA )
//
// .. Scalar Arguments ..
// INTEGER M, N, LDA
// ..
// .. Array Arguments ..
// DOUBLE PRECISION A( LDA, * )
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> ILADLR scans A for its last non-zero row.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] M
//> \verbatim
//> M is INTEGER
//> The number of rows of the matrix A.
//> \endverbatim
//>
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> The number of columns of the matrix A.
//> \endverbatim
//>
//> \param[in] A
//> \verbatim
//> A is DOUBLE PRECISION array, dimension (LDA,N)
//> The m by n matrix A.
//> \endverbatim
//>
//> \param[in] LDA
//> \verbatim
//> LDA is INTEGER
//> The leading dimension of the array A. LDA >= max(1,M).
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date December 2016
//
//> \ingroup OTHERauxiliary
//
// =====================================================================
int iladlr_(int *m, int *n, double *a, int *lda)
{
// System generated locals
int a_dim1, a_offset, ret_val, i__1;
// Local variables
int i__, j;
//
// -- LAPACK auxiliary routine (version 3.7.0) --
// -- LAPACK is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// December 2016
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. Parameters ..
// ..
// .. Local Scalars ..
// ..
// .. Executable Statements ..
//
// Quick test for the common case where one corner is non-zero.
// Parameter adjustments
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
// Function Body
if (*m == 0) {
ret_val = *m;
} else if (a[*m + a_dim1] != 0. || a[*m + *n * a_dim1] != 0.) {
ret_val = *m;
} else {
// Scan up each column tracking the last zero row seen.
ret_val = 0;
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__ = *m;
while(a[max(i__,1) + j * a_dim1] == 0. && i__ >= 1) {
--i__;
}
ret_val = max(ret_val,i__);
}
}
return ret_val;
} // iladlr_
-824
View File
@@ -1,824 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b DLARFB applies a block reflector or its transpose to a general rectangular matrix.
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
//> \htmlonly
//> Download DLARFB + dependencies
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dlarfb.f">
//> [TGZ]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dlarfb.f">
//> [ZIP]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dlarfb.f">
//> [TXT]</a>
//> \endhtmlonly
//
// Definition:
// ===========
//
// SUBROUTINE DLARFB( SIDE, TRANS, DIRECT, STOREV, M, N, K, V, LDV,
// T, LDT, C, LDC, WORK, LDWORK )
//
// .. Scalar Arguments ..
// CHARACTER DIRECT, SIDE, STOREV, TRANS
// INTEGER K, LDC, LDT, LDV, LDWORK, M, N
// ..
// .. Array Arguments ..
// DOUBLE PRECISION C( LDC, * ), T( LDT, * ), V( LDV, * ),
// $ WORK( LDWORK, * )
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DLARFB applies a real block reflector H or its transpose H**T to a
//> real m by n matrix C, from either the left or the right.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] SIDE
//> \verbatim
//> SIDE is CHARACTER*1
//> = 'L': apply H or H**T from the Left
//> = 'R': apply H or H**T from the Right
//> \endverbatim
//>
//> \param[in] TRANS
//> \verbatim
//> TRANS is CHARACTER*1
//> = 'N': apply H (No transpose)
//> = 'T': apply H**T (Transpose)
//> \endverbatim
//>
//> \param[in] DIRECT
//> \verbatim
//> DIRECT is CHARACTER*1
//> Indicates how H is formed from a product of elementary
//> reflectors
//> = 'F': H = H(1) H(2) . . . H(k) (Forward)
//> = 'B': H = H(k) . . . H(2) H(1) (Backward)
//> \endverbatim
//>
//> \param[in] STOREV
//> \verbatim
//> STOREV is CHARACTER*1
//> Indicates how the vectors which define the elementary
//> reflectors are stored:
//> = 'C': Columnwise
//> = 'R': Rowwise
//> \endverbatim
//>
//> \param[in] M
//> \verbatim
//> M is INTEGER
//> The number of rows of the matrix C.
//> \endverbatim
//>
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> The number of columns of the matrix C.
//> \endverbatim
//>
//> \param[in] K
//> \verbatim
//> K is INTEGER
//> The order of the matrix T (= the number of elementary
//> reflectors whose product defines the block reflector).
//> If SIDE = 'L', M >= K >= 0;
//> if SIDE = 'R', N >= K >= 0.
//> \endverbatim
//>
//> \param[in] V
//> \verbatim
//> V is DOUBLE PRECISION array, dimension
//> (LDV,K) if STOREV = 'C'
//> (LDV,M) if STOREV = 'R' and SIDE = 'L'
//> (LDV,N) if STOREV = 'R' and SIDE = 'R'
//> The matrix V. See Further Details.
//> \endverbatim
//>
//> \param[in] LDV
//> \verbatim
//> LDV is INTEGER
//> The leading dimension of the array V.
//> If STOREV = 'C' and SIDE = 'L', LDV >= max(1,M);
//> if STOREV = 'C' and SIDE = 'R', LDV >= max(1,N);
//> if STOREV = 'R', LDV >= K.
//> \endverbatim
//>
//> \param[in] T
//> \verbatim
//> T is DOUBLE PRECISION array, dimension (LDT,K)
//> The triangular k by k matrix T in the representation of the
//> block reflector.
//> \endverbatim
//>
//> \param[in] LDT
//> \verbatim
//> LDT is INTEGER
//> The leading dimension of the array T. LDT >= K.
//> \endverbatim
//>
//> \param[in,out] C
//> \verbatim
//> C is DOUBLE PRECISION array, dimension (LDC,N)
//> On entry, the m by n matrix C.
//> On exit, C is overwritten by H*C or H**T*C or C*H or C*H**T.
//> \endverbatim
//>
//> \param[in] LDC
//> \verbatim
//> LDC is INTEGER
//> The leading dimension of the array C. LDC >= max(1,M).
//> \endverbatim
//>
//> \param[out] WORK
//> \verbatim
//> WORK is DOUBLE PRECISION array, dimension (LDWORK,K)
//> \endverbatim
//>
//> \param[in] LDWORK
//> \verbatim
//> LDWORK is INTEGER
//> The leading dimension of the array WORK.
//> If SIDE = 'L', LDWORK >= max(1,N);
//> if SIDE = 'R', LDWORK >= max(1,M).
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date June 2013
//
//> \ingroup doubleOTHERauxiliary
//
//> \par Further Details:
// =====================
//>
//> \verbatim
//>
//> The shape of the matrix V and the storage of the vectors which define
//> the H(i) is best illustrated by the following example with n = 5 and
//> k = 3. The elements equal to 1 are not stored; the corresponding
//> array elements are modified but restored on exit. The rest of the
//> array is not used.
//>
//> DIRECT = 'F' and STOREV = 'C': DIRECT = 'F' and STOREV = 'R':
//>
//> V = ( 1 ) V = ( 1 v1 v1 v1 v1 )
//> ( v1 1 ) ( 1 v2 v2 v2 )
//> ( v1 v2 1 ) ( 1 v3 v3 )
//> ( v1 v2 v3 )
//> ( v1 v2 v3 )
//>
//> DIRECT = 'B' and STOREV = 'C': DIRECT = 'B' and STOREV = 'R':
//>
//> V = ( v1 v2 v3 ) V = ( v1 v1 1 )
//> ( v1 v2 v3 ) ( v2 v2 v2 1 )
//> ( 1 v2 v3 ) ( v3 v3 v3 v3 1 )
//> ( 1 v3 )
//> ( 1 )
//> \endverbatim
//>
// =====================================================================
/* Subroutine */ int dlarfb_(char *side, char *trans, char *direct, char *
storev, int *m, int *n, int *k, double *v, int *ldv, double *t, int *
ldt, double *c__, int *ldc, double *work, int *ldwork)
{
// Table of constant values
int c__1 = 1;
double c_b14 = 1.;
double c_b25 = -1.;
// System generated locals
int c_dim1, c_offset, t_dim1, t_offset, v_dim1, v_offset, work_dim1,
work_offset, i__1, i__2;
// Local variables
int i__, j;
extern /* Subroutine */ int dgemm_(char *, char *, int *, int *, int *,
double *, double *, int *, double *, int *, double *, double *,
int *);
extern int lsame_(char *, char *);
extern /* Subroutine */ int dcopy_(int *, double *, int *, double *, int *
), dtrmm_(char *, char *, char *, char *, int *, int *, double *,
double *, int *, double *, int *);
char transt[1+1]={'\0'};
//
// -- LAPACK auxiliary routine (version 3.7.0) --
// -- LAPACK is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// June 2013
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. Parameters ..
// ..
// .. Local Scalars ..
// ..
// .. External Functions ..
// ..
// .. External Subroutines ..
// ..
// .. Executable Statements ..
//
// Quick return if possible
//
// Parameter adjustments
v_dim1 = *ldv;
v_offset = 1 + v_dim1;
v -= v_offset;
t_dim1 = *ldt;
t_offset = 1 + t_dim1;
t -= t_offset;
c_dim1 = *ldc;
c_offset = 1 + c_dim1;
c__ -= c_offset;
work_dim1 = *ldwork;
work_offset = 1 + work_dim1;
work -= work_offset;
// Function Body
if (*m <= 0 || *n <= 0) {
return 0;
}
if (lsame_(trans, "N")) {
*(unsigned char *)transt = 'T';
} else {
*(unsigned char *)transt = 'N';
}
if (lsame_(storev, "C")) {
if (lsame_(direct, "F")) {
//
// Let V = ( V1 ) (first K rows)
// ( V2 )
// where V1 is unit lower triangular.
//
if (lsame_(side, "L")) {
//
// Form H * C or H**T * C where C = ( C1 )
// ( C2 )
//
// W := C**T * V = (C1**T * V1 + C2**T * V2) (stored in WORK)
//
// W := C1**T
//
i__1 = *k;
for (j = 1; j <= i__1; ++j) {
dcopy_(n, &c__[j + c_dim1], ldc, &work[j * work_dim1 + 1],
&c__1);
// L10:
}
//
// W := W * V1
//
dtrmm_("Right", "Lower", "No transpose", "Unit", n, k, &c_b14,
&v[v_offset], ldv, &work[work_offset], ldwork);
if (*m > *k) {
//
// W := W + C2**T * V2
//
i__1 = *m - *k;
dgemm_("Transpose", "No transpose", n, k, &i__1, &c_b14, &
c__[*k + 1 + c_dim1], ldc, &v[*k + 1 + v_dim1],
ldv, &c_b14, &work[work_offset], ldwork);
}
//
// W := W * T**T or W * T
//
dtrmm_("Right", "Upper", transt, "Non-unit", n, k, &c_b14, &t[
t_offset], ldt, &work[work_offset], ldwork);
//
// C := C - V * W**T
//
if (*m > *k) {
//
// C2 := C2 - V2 * W**T
//
i__1 = *m - *k;
dgemm_("No transpose", "Transpose", &i__1, n, k, &c_b25, &
v[*k + 1 + v_dim1], ldv, &work[work_offset],
ldwork, &c_b14, &c__[*k + 1 + c_dim1], ldc);
}
//
// W := W * V1**T
//
dtrmm_("Right", "Lower", "Transpose", "Unit", n, k, &c_b14, &
v[v_offset], ldv, &work[work_offset], ldwork);
//
// C1 := C1 - W**T
//
i__1 = *k;
for (j = 1; j <= i__1; ++j) {
i__2 = *n;
for (i__ = 1; i__ <= i__2; ++i__) {
c__[j + i__ * c_dim1] -= work[i__ + j * work_dim1];
// L20:
}
// L30:
}
} else if (lsame_(side, "R")) {
//
// Form C * H or C * H**T where C = ( C1 C2 )
//
// W := C * V = (C1*V1 + C2*V2) (stored in WORK)
//
// W := C1
//
i__1 = *k;
for (j = 1; j <= i__1; ++j) {
dcopy_(m, &c__[j * c_dim1 + 1], &c__1, &work[j *
work_dim1 + 1], &c__1);
// L40:
}
//
// W := W * V1
//
dtrmm_("Right", "Lower", "No transpose", "Unit", m, k, &c_b14,
&v[v_offset], ldv, &work[work_offset], ldwork);
if (*n > *k) {
//
// W := W + C2 * V2
//
i__1 = *n - *k;
dgemm_("No transpose", "No transpose", m, k, &i__1, &
c_b14, &c__[(*k + 1) * c_dim1 + 1], ldc, &v[*k +
1 + v_dim1], ldv, &c_b14, &work[work_offset],
ldwork);
}
//
// W := W * T or W * T**T
//
dtrmm_("Right", "Upper", trans, "Non-unit", m, k, &c_b14, &t[
t_offset], ldt, &work[work_offset], ldwork);
//
// C := C - W * V**T
//
if (*n > *k) {
//
// C2 := C2 - W * V2**T
//
i__1 = *n - *k;
dgemm_("No transpose", "Transpose", m, &i__1, k, &c_b25, &
work[work_offset], ldwork, &v[*k + 1 + v_dim1],
ldv, &c_b14, &c__[(*k + 1) * c_dim1 + 1], ldc);
}
//
// W := W * V1**T
//
dtrmm_("Right", "Lower", "Transpose", "Unit", m, k, &c_b14, &
v[v_offset], ldv, &work[work_offset], ldwork);
//
// C1 := C1 - W
//
i__1 = *k;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
c__[i__ + j * c_dim1] -= work[i__ + j * work_dim1];
// L50:
}
// L60:
}
}
} else {
//
// Let V = ( V1 )
// ( V2 ) (last K rows)
// where V2 is unit upper triangular.
//
if (lsame_(side, "L")) {
//
// Form H * C or H**T * C where C = ( C1 )
// ( C2 )
//
// W := C**T * V = (C1**T * V1 + C2**T * V2) (stored in WORK)
//
// W := C2**T
//
i__1 = *k;
for (j = 1; j <= i__1; ++j) {
dcopy_(n, &c__[*m - *k + j + c_dim1], ldc, &work[j *
work_dim1 + 1], &c__1);
// L70:
}
//
// W := W * V2
//
dtrmm_("Right", "Upper", "No transpose", "Unit", n, k, &c_b14,
&v[*m - *k + 1 + v_dim1], ldv, &work[work_offset],
ldwork);
if (*m > *k) {
//
// W := W + C1**T * V1
//
i__1 = *m - *k;
dgemm_("Transpose", "No transpose", n, k, &i__1, &c_b14, &
c__[c_offset], ldc, &v[v_offset], ldv, &c_b14, &
work[work_offset], ldwork);
}
//
// W := W * T**T or W * T
//
dtrmm_("Right", "Lower", transt, "Non-unit", n, k, &c_b14, &t[
t_offset], ldt, &work[work_offset], ldwork);
//
// C := C - V * W**T
//
if (*m > *k) {
//
// C1 := C1 - V1 * W**T
//
i__1 = *m - *k;
dgemm_("No transpose", "Transpose", &i__1, n, k, &c_b25, &
v[v_offset], ldv, &work[work_offset], ldwork, &
c_b14, &c__[c_offset], ldc);
}
//
// W := W * V2**T
//
dtrmm_("Right", "Upper", "Transpose", "Unit", n, k, &c_b14, &
v[*m - *k + 1 + v_dim1], ldv, &work[work_offset],
ldwork);
//
// C2 := C2 - W**T
//
i__1 = *k;
for (j = 1; j <= i__1; ++j) {
i__2 = *n;
for (i__ = 1; i__ <= i__2; ++i__) {
c__[*m - *k + j + i__ * c_dim1] -= work[i__ + j *
work_dim1];
// L80:
}
// L90:
}
} else if (lsame_(side, "R")) {
//
// Form C * H or C * H**T where C = ( C1 C2 )
//
// W := C * V = (C1*V1 + C2*V2) (stored in WORK)
//
// W := C2
//
i__1 = *k;
for (j = 1; j <= i__1; ++j) {
dcopy_(m, &c__[(*n - *k + j) * c_dim1 + 1], &c__1, &work[
j * work_dim1 + 1], &c__1);
// L100:
}
//
// W := W * V2
//
dtrmm_("Right", "Upper", "No transpose", "Unit", m, k, &c_b14,
&v[*n - *k + 1 + v_dim1], ldv, &work[work_offset],
ldwork);
if (*n > *k) {
//
// W := W + C1 * V1
//
i__1 = *n - *k;
dgemm_("No transpose", "No transpose", m, k, &i__1, &
c_b14, &c__[c_offset], ldc, &v[v_offset], ldv, &
c_b14, &work[work_offset], ldwork);
}
//
// W := W * T or W * T**T
//
dtrmm_("Right", "Lower", trans, "Non-unit", m, k, &c_b14, &t[
t_offset], ldt, &work[work_offset], ldwork);
//
// C := C - W * V**T
//
if (*n > *k) {
//
// C1 := C1 - W * V1**T
//
i__1 = *n - *k;
dgemm_("No transpose", "Transpose", m, &i__1, k, &c_b25, &
work[work_offset], ldwork, &v[v_offset], ldv, &
c_b14, &c__[c_offset], ldc);
}
//
// W := W * V2**T
//
dtrmm_("Right", "Upper", "Transpose", "Unit", m, k, &c_b14, &
v[*n - *k + 1 + v_dim1], ldv, &work[work_offset],
ldwork);
//
// C2 := C2 - W
//
i__1 = *k;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
c__[i__ + (*n - *k + j) * c_dim1] -= work[i__ + j *
work_dim1];
// L110:
}
// L120:
}
}
}
} else if (lsame_(storev, "R")) {
if (lsame_(direct, "F")) {
//
// Let V = ( V1 V2 ) (V1: first K columns)
// where V1 is unit upper triangular.
//
if (lsame_(side, "L")) {
//
// Form H * C or H**T * C where C = ( C1 )
// ( C2 )
//
// W := C**T * V**T = (C1**T * V1**T + C2**T * V2**T) (stored in WORK)
//
// W := C1**T
//
i__1 = *k;
for (j = 1; j <= i__1; ++j) {
dcopy_(n, &c__[j + c_dim1], ldc, &work[j * work_dim1 + 1],
&c__1);
// L130:
}
//
// W := W * V1**T
//
dtrmm_("Right", "Upper", "Transpose", "Unit", n, k, &c_b14, &
v[v_offset], ldv, &work[work_offset], ldwork);
if (*m > *k) {
//
// W := W + C2**T * V2**T
//
i__1 = *m - *k;
dgemm_("Transpose", "Transpose", n, k, &i__1, &c_b14, &
c__[*k + 1 + c_dim1], ldc, &v[(*k + 1) * v_dim1 +
1], ldv, &c_b14, &work[work_offset], ldwork);
}
//
// W := W * T**T or W * T
//
dtrmm_("Right", "Upper", transt, "Non-unit", n, k, &c_b14, &t[
t_offset], ldt, &work[work_offset], ldwork);
//
// C := C - V**T * W**T
//
if (*m > *k) {
//
// C2 := C2 - V2**T * W**T
//
i__1 = *m - *k;
dgemm_("Transpose", "Transpose", &i__1, n, k, &c_b25, &v[(
*k + 1) * v_dim1 + 1], ldv, &work[work_offset],
ldwork, &c_b14, &c__[*k + 1 + c_dim1], ldc);
}
//
// W := W * V1
//
dtrmm_("Right", "Upper", "No transpose", "Unit", n, k, &c_b14,
&v[v_offset], ldv, &work[work_offset], ldwork);
//
// C1 := C1 - W**T
//
i__1 = *k;
for (j = 1; j <= i__1; ++j) {
i__2 = *n;
for (i__ = 1; i__ <= i__2; ++i__) {
c__[j + i__ * c_dim1] -= work[i__ + j * work_dim1];
// L140:
}
// L150:
}
} else if (lsame_(side, "R")) {
//
// Form C * H or C * H**T where C = ( C1 C2 )
//
// W := C * V**T = (C1*V1**T + C2*V2**T) (stored in WORK)
//
// W := C1
//
i__1 = *k;
for (j = 1; j <= i__1; ++j) {
dcopy_(m, &c__[j * c_dim1 + 1], &c__1, &work[j *
work_dim1 + 1], &c__1);
// L160:
}
//
// W := W * V1**T
//
dtrmm_("Right", "Upper", "Transpose", "Unit", m, k, &c_b14, &
v[v_offset], ldv, &work[work_offset], ldwork);
if (*n > *k) {
//
// W := W + C2 * V2**T
//
i__1 = *n - *k;
dgemm_("No transpose", "Transpose", m, k, &i__1, &c_b14, &
c__[(*k + 1) * c_dim1 + 1], ldc, &v[(*k + 1) *
v_dim1 + 1], ldv, &c_b14, &work[work_offset],
ldwork);
}
//
// W := W * T or W * T**T
//
dtrmm_("Right", "Upper", trans, "Non-unit", m, k, &c_b14, &t[
t_offset], ldt, &work[work_offset], ldwork);
//
// C := C - W * V
//
if (*n > *k) {
//
// C2 := C2 - W * V2
//
i__1 = *n - *k;
dgemm_("No transpose", "No transpose", m, &i__1, k, &
c_b25, &work[work_offset], ldwork, &v[(*k + 1) *
v_dim1 + 1], ldv, &c_b14, &c__[(*k + 1) * c_dim1
+ 1], ldc);
}
//
// W := W * V1
//
dtrmm_("Right", "Upper", "No transpose", "Unit", m, k, &c_b14,
&v[v_offset], ldv, &work[work_offset], ldwork);
//
// C1 := C1 - W
//
i__1 = *k;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
c__[i__ + j * c_dim1] -= work[i__ + j * work_dim1];
// L170:
}
// L180:
}
}
} else {
//
// Let V = ( V1 V2 ) (V2: last K columns)
// where V2 is unit lower triangular.
//
if (lsame_(side, "L")) {
//
// Form H * C or H**T * C where C = ( C1 )
// ( C2 )
//
// W := C**T * V**T = (C1**T * V1**T + C2**T * V2**T) (stored in WORK)
//
// W := C2**T
//
i__1 = *k;
for (j = 1; j <= i__1; ++j) {
dcopy_(n, &c__[*m - *k + j + c_dim1], ldc, &work[j *
work_dim1 + 1], &c__1);
// L190:
}
//
// W := W * V2**T
//
dtrmm_("Right", "Lower", "Transpose", "Unit", n, k, &c_b14, &
v[(*m - *k + 1) * v_dim1 + 1], ldv, &work[work_offset]
, ldwork);
if (*m > *k) {
//
// W := W + C1**T * V1**T
//
i__1 = *m - *k;
dgemm_("Transpose", "Transpose", n, k, &i__1, &c_b14, &
c__[c_offset], ldc, &v[v_offset], ldv, &c_b14, &
work[work_offset], ldwork);
}
//
// W := W * T**T or W * T
//
dtrmm_("Right", "Lower", transt, "Non-unit", n, k, &c_b14, &t[
t_offset], ldt, &work[work_offset], ldwork);
//
// C := C - V**T * W**T
//
if (*m > *k) {
//
// C1 := C1 - V1**T * W**T
//
i__1 = *m - *k;
dgemm_("Transpose", "Transpose", &i__1, n, k, &c_b25, &v[
v_offset], ldv, &work[work_offset], ldwork, &
c_b14, &c__[c_offset], ldc);
}
//
// W := W * V2
//
dtrmm_("Right", "Lower", "No transpose", "Unit", n, k, &c_b14,
&v[(*m - *k + 1) * v_dim1 + 1], ldv, &work[
work_offset], ldwork);
//
// C2 := C2 - W**T
//
i__1 = *k;
for (j = 1; j <= i__1; ++j) {
i__2 = *n;
for (i__ = 1; i__ <= i__2; ++i__) {
c__[*m - *k + j + i__ * c_dim1] -= work[i__ + j *
work_dim1];
// L200:
}
// L210:
}
} else if (lsame_(side, "R")) {
//
// Form C * H or C * H' where C = ( C1 C2 )
//
// W := C * V**T = (C1*V1**T + C2*V2**T) (stored in WORK)
//
// W := C2
//
i__1 = *k;
for (j = 1; j <= i__1; ++j) {
dcopy_(m, &c__[(*n - *k + j) * c_dim1 + 1], &c__1, &work[
j * work_dim1 + 1], &c__1);
// L220:
}
//
// W := W * V2**T
//
dtrmm_("Right", "Lower", "Transpose", "Unit", m, k, &c_b14, &
v[(*n - *k + 1) * v_dim1 + 1], ldv, &work[work_offset]
, ldwork);
if (*n > *k) {
//
// W := W + C1 * V1**T
//
i__1 = *n - *k;
dgemm_("No transpose", "Transpose", m, k, &i__1, &c_b14, &
c__[c_offset], ldc, &v[v_offset], ldv, &c_b14, &
work[work_offset], ldwork);
}
//
// W := W * T or W * T**T
//
dtrmm_("Right", "Lower", trans, "Non-unit", m, k, &c_b14, &t[
t_offset], ldt, &work[work_offset], ldwork);
//
// C := C - W * V
//
if (*n > *k) {
//
// C1 := C1 - W * V1
//
i__1 = *n - *k;
dgemm_("No transpose", "No transpose", m, &i__1, k, &
c_b25, &work[work_offset], ldwork, &v[v_offset],
ldv, &c_b14, &c__[c_offset], ldc);
}
//
// W := W * V2
//
dtrmm_("Right", "Lower", "No transpose", "Unit", m, k, &c_b14,
&v[(*n - *k + 1) * v_dim1 + 1], ldv, &work[
work_offset], ldwork);
//
// C1 := C1 - W
//
i__1 = *k;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
c__[i__ + (*n - *k + j) * c_dim1] -= work[i__ + j *
work_dim1];
// L230:
}
// L240:
}
}
}
}
return 0;
//
// End of DLARFB
//
} // dlarfb_
-216
View File
@@ -1,216 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b DLARFG generates an elementary reflector (Householder matrix).
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
//> \htmlonly
//> Download DLARFG + dependencies
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dlarfg.f">
//> [TGZ]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dlarfg.f">
//> [ZIP]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dlarfg.f">
//> [TXT]</a>
//> \endhtmlonly
//
// Definition:
// ===========
//
// SUBROUTINE DLARFG( N, ALPHA, X, INCX, TAU )
//
// .. Scalar Arguments ..
// INTEGER INCX, N
// DOUBLE PRECISION ALPHA, TAU
// ..
// .. Array Arguments ..
// DOUBLE PRECISION X( * )
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DLARFG generates a real elementary reflector H of order n, such
//> that
//>
//> H * ( alpha ) = ( beta ), H**T * H = I.
//> ( x ) ( 0 )
//>
//> where alpha and beta are scalars, and x is an (n-1)-element real
//> vector. H is represented in the form
//>
//> H = I - tau * ( 1 ) * ( 1 v**T ) ,
//> ( v )
//>
//> where tau is a real scalar and v is a real (n-1)-element
//> vector.
//>
//> If the elements of x are all zero, then tau = 0 and H is taken to be
//> the unit matrix.
//>
//> Otherwise 1 <= tau <= 2.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> The order of the elementary reflector.
//> \endverbatim
//>
//> \param[in,out] ALPHA
//> \verbatim
//> ALPHA is DOUBLE PRECISION
//> On entry, the value alpha.
//> On exit, it is overwritten with the value beta.
//> \endverbatim
//>
//> \param[in,out] X
//> \verbatim
//> X is DOUBLE PRECISION array, dimension
//> (1+(N-2)*abs(INCX))
//> On entry, the vector x.
//> On exit, it is overwritten with the vector v.
//> \endverbatim
//>
//> \param[in] INCX
//> \verbatim
//> INCX is INTEGER
//> The increment between elements of X. INCX > 0.
//> \endverbatim
//>
//> \param[out] TAU
//> \verbatim
//> TAU is DOUBLE PRECISION
//> The value tau.
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date November 2017
//
//> \ingroup doubleOTHERauxiliary
//
// =====================================================================
/* Subroutine */ int dlarfg_(int *n, double *alpha, double *x, int *incx,
double *tau)
{
// System generated locals
int i__1;
double d__1;
// Local variables
int j, knt;
double beta;
extern double dnrm2_(int *, double *, int *);
extern /* Subroutine */ int dscal_(int *, double *, double *, int *);
double xnorm;
extern double dlapy2_(double *, double *), dlamch_(char *);
double safmin, rsafmn;
//
// -- LAPACK auxiliary routine (version 3.8.0) --
// -- LAPACK is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// November 2017
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. Parameters ..
// ..
// .. Local Scalars ..
// ..
// .. External Functions ..
// ..
// .. Intrinsic Functions ..
// ..
// .. External Subroutines ..
// ..
// .. Executable Statements ..
//
// Parameter adjustments
--x;
// Function Body
if (*n <= 1) {
*tau = 0.;
return 0;
}
i__1 = *n - 1;
xnorm = dnrm2_(&i__1, &x[1], incx);
if (xnorm == 0.) {
//
// H = I
//
*tau = 0.;
} else {
//
// general case
//
d__1 = dlapy2_(alpha, &xnorm);
beta = -d_sign(&d__1, alpha);
safmin = dlamch_("S") / dlamch_("E");
knt = 0;
if (abs(beta) < safmin) {
//
// XNORM, BETA may be inaccurate; scale X and recompute them
//
rsafmn = 1. / safmin;
L10:
++knt;
i__1 = *n - 1;
dscal_(&i__1, &rsafmn, &x[1], incx);
beta *= rsafmn;
*alpha *= rsafmn;
if (abs(beta) < safmin && knt < 20) {
goto L10;
}
//
// New BETA is at most 1, at least SAFMIN
//
i__1 = *n - 1;
xnorm = dnrm2_(&i__1, &x[1], incx);
d__1 = dlapy2_(alpha, &xnorm);
beta = -d_sign(&d__1, alpha);
}
*tau = (beta - *alpha) / beta;
i__1 = *n - 1;
d__1 = 1. / (*alpha - beta);
dscal_(&i__1, &d__1, &x[1], incx);
//
// If ALPHA is subnormal, it may lose relative accuracy
//
i__1 = knt;
for (j = 1; j <= i__1; ++j) {
beta *= safmin;
// L20:
}
*alpha = beta;
}
return 0;
//
// End of DLARFG
//
} // dlarfg_
-389
View File
@@ -1,389 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b DLARFT forms the triangular factor T of a block reflector H = I - vtvH
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
//> \htmlonly
//> Download DLARFT + dependencies
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dlarft.f">
//> [TGZ]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dlarft.f">
//> [ZIP]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dlarft.f">
//> [TXT]</a>
//> \endhtmlonly
//
// Definition:
// ===========
//
// SUBROUTINE DLARFT( DIRECT, STOREV, N, K, V, LDV, TAU, T, LDT )
//
// .. Scalar Arguments ..
// CHARACTER DIRECT, STOREV
// INTEGER K, LDT, LDV, N
// ..
// .. Array Arguments ..
// DOUBLE PRECISION T( LDT, * ), TAU( * ), V( LDV, * )
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DLARFT forms the triangular factor T of a real block reflector H
//> of order n, which is defined as a product of k elementary reflectors.
//>
//> If DIRECT = 'F', H = H(1) H(2) . . . H(k) and T is upper triangular;
//>
//> If DIRECT = 'B', H = H(k) . . . H(2) H(1) and T is lower triangular.
//>
//> If STOREV = 'C', the vector which defines the elementary reflector
//> H(i) is stored in the i-th column of the array V, and
//>
//> H = I - V * T * V**T
//>
//> If STOREV = 'R', the vector which defines the elementary reflector
//> H(i) is stored in the i-th row of the array V, and
//>
//> H = I - V**T * T * V
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] DIRECT
//> \verbatim
//> DIRECT is CHARACTER*1
//> Specifies the order in which the elementary reflectors are
//> multiplied to form the block reflector:
//> = 'F': H = H(1) H(2) . . . H(k) (Forward)
//> = 'B': H = H(k) . . . H(2) H(1) (Backward)
//> \endverbatim
//>
//> \param[in] STOREV
//> \verbatim
//> STOREV is CHARACTER*1
//> Specifies how the vectors which define the elementary
//> reflectors are stored (see also Further Details):
//> = 'C': columnwise
//> = 'R': rowwise
//> \endverbatim
//>
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> The order of the block reflector H. N >= 0.
//> \endverbatim
//>
//> \param[in] K
//> \verbatim
//> K is INTEGER
//> The order of the triangular factor T (= the number of
//> elementary reflectors). K >= 1.
//> \endverbatim
//>
//> \param[in] V
//> \verbatim
//> V is DOUBLE PRECISION array, dimension
//> (LDV,K) if STOREV = 'C'
//> (LDV,N) if STOREV = 'R'
//> The matrix V. See further details.
//> \endverbatim
//>
//> \param[in] LDV
//> \verbatim
//> LDV is INTEGER
//> The leading dimension of the array V.
//> If STOREV = 'C', LDV >= max(1,N); if STOREV = 'R', LDV >= K.
//> \endverbatim
//>
//> \param[in] TAU
//> \verbatim
//> TAU is DOUBLE PRECISION array, dimension (K)
//> TAU(i) must contain the scalar factor of the elementary
//> reflector H(i).
//> \endverbatim
//>
//> \param[out] T
//> \verbatim
//> T is DOUBLE PRECISION array, dimension (LDT,K)
//> The k by k triangular factor T of the block reflector.
//> If DIRECT = 'F', T is upper triangular; if DIRECT = 'B', T is
//> lower triangular. The rest of the array is not used.
//> \endverbatim
//>
//> \param[in] LDT
//> \verbatim
//> LDT is INTEGER
//> The leading dimension of the array T. LDT >= K.
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date December 2016
//
//> \ingroup doubleOTHERauxiliary
//
//> \par Further Details:
// =====================
//>
//> \verbatim
//>
//> The shape of the matrix V and the storage of the vectors which define
//> the H(i) is best illustrated by the following example with n = 5 and
//> k = 3. The elements equal to 1 are not stored.
//>
//> DIRECT = 'F' and STOREV = 'C': DIRECT = 'F' and STOREV = 'R':
//>
//> V = ( 1 ) V = ( 1 v1 v1 v1 v1 )
//> ( v1 1 ) ( 1 v2 v2 v2 )
//> ( v1 v2 1 ) ( 1 v3 v3 )
//> ( v1 v2 v3 )
//> ( v1 v2 v3 )
//>
//> DIRECT = 'B' and STOREV = 'C': DIRECT = 'B' and STOREV = 'R':
//>
//> V = ( v1 v2 v3 ) V = ( v1 v1 1 )
//> ( v1 v2 v3 ) ( v2 v2 v2 1 )
//> ( 1 v2 v3 ) ( v3 v3 v3 v3 1 )
//> ( 1 v3 )
//> ( 1 )
//> \endverbatim
//>
// =====================================================================
/* Subroutine */ int dlarft_(char *direct, char *storev, int *n, int *k,
double *v, int *ldv, double *tau, double *t, int *ldt)
{
// Table of constant values
int c__1 = 1;
double c_b7 = 1.;
// System generated locals
int t_dim1, t_offset, v_dim1, v_offset, i__1, i__2, i__3;
double d__1;
// Local variables
int i__, j, prevlastv;
extern int lsame_(char *, char *);
extern /* Subroutine */ int dgemv_(char *, int *, int *, double *, double
*, int *, double *, int *, double *, double *, int *);
int lastv;
extern /* Subroutine */ int dtrmv_(char *, char *, char *, int *, double *
, int *, double *, int *);
//
// -- LAPACK auxiliary routine (version 3.7.0) --
// -- LAPACK is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// December 2016
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. Parameters ..
// ..
// .. Local Scalars ..
// ..
// .. External Subroutines ..
// ..
// .. External Functions ..
// ..
// .. Executable Statements ..
//
// Quick return if possible
//
// Parameter adjustments
v_dim1 = *ldv;
v_offset = 1 + v_dim1;
v -= v_offset;
--tau;
t_dim1 = *ldt;
t_offset = 1 + t_dim1;
t -= t_offset;
// Function Body
if (*n == 0) {
return 0;
}
if (lsame_(direct, "F")) {
prevlastv = *n;
i__1 = *k;
for (i__ = 1; i__ <= i__1; ++i__) {
prevlastv = max(i__,prevlastv);
if (tau[i__] == 0.) {
//
// H(i) = I
//
i__2 = i__;
for (j = 1; j <= i__2; ++j) {
t[j + i__ * t_dim1] = 0.;
}
} else {
//
// general case
//
if (lsame_(storev, "C")) {
// Skip any trailing zeros.
i__2 = i__ + 1;
for (lastv = *n; lastv >= i__2; --lastv) {
if (v[lastv + i__ * v_dim1] != 0.) {
break;
}
}
i__2 = i__ - 1;
for (j = 1; j <= i__2; ++j) {
t[j + i__ * t_dim1] = -tau[i__] * v[i__ + j * v_dim1];
}
j = min(lastv,prevlastv);
//
// T(1:i-1,i) := - tau(i) * V(i:j,1:i-1)**T * V(i:j,i)
//
i__2 = j - i__;
i__3 = i__ - 1;
d__1 = -tau[i__];
dgemv_("Transpose", &i__2, &i__3, &d__1, &v[i__ + 1 +
v_dim1], ldv, &v[i__ + 1 + i__ * v_dim1], &c__1, &
c_b7, &t[i__ * t_dim1 + 1], &c__1);
} else {
// Skip any trailing zeros.
i__2 = i__ + 1;
for (lastv = *n; lastv >= i__2; --lastv) {
if (v[i__ + lastv * v_dim1] != 0.) {
break;
}
}
i__2 = i__ - 1;
for (j = 1; j <= i__2; ++j) {
t[j + i__ * t_dim1] = -tau[i__] * v[j + i__ * v_dim1];
}
j = min(lastv,prevlastv);
//
// T(1:i-1,i) := - tau(i) * V(1:i-1,i:j) * V(i,i:j)**T
//
i__2 = i__ - 1;
i__3 = j - i__;
d__1 = -tau[i__];
dgemv_("No transpose", &i__2, &i__3, &d__1, &v[(i__ + 1) *
v_dim1 + 1], ldv, &v[i__ + (i__ + 1) * v_dim1],
ldv, &c_b7, &t[i__ * t_dim1 + 1], &c__1);
}
//
// T(1:i-1,i) := T(1:i-1,1:i-1) * T(1:i-1,i)
//
i__2 = i__ - 1;
dtrmv_("Upper", "No transpose", "Non-unit", &i__2, &t[
t_offset], ldt, &t[i__ * t_dim1 + 1], &c__1);
t[i__ + i__ * t_dim1] = tau[i__];
if (i__ > 1) {
prevlastv = max(prevlastv,lastv);
} else {
prevlastv = lastv;
}
}
}
} else {
prevlastv = 1;
for (i__ = *k; i__ >= 1; --i__) {
if (tau[i__] == 0.) {
//
// H(i) = I
//
i__1 = *k;
for (j = i__; j <= i__1; ++j) {
t[j + i__ * t_dim1] = 0.;
}
} else {
//
// general case
//
if (i__ < *k) {
if (lsame_(storev, "C")) {
// Skip any leading zeros.
i__1 = i__ - 1;
for (lastv = 1; lastv <= i__1; ++lastv) {
if (v[lastv + i__ * v_dim1] != 0.) {
break;
}
}
i__1 = *k;
for (j = i__ + 1; j <= i__1; ++j) {
t[j + i__ * t_dim1] = -tau[i__] * v[*n - *k + i__
+ j * v_dim1];
}
j = max(lastv,prevlastv);
//
// T(i+1:k,i) = -tau(i) * V(j:n-k+i,i+1:k)**T * V(j:n-k+i,i)
//
i__1 = *n - *k + i__ - j;
i__2 = *k - i__;
d__1 = -tau[i__];
dgemv_("Transpose", &i__1, &i__2, &d__1, &v[j + (i__
+ 1) * v_dim1], ldv, &v[j + i__ * v_dim1], &
c__1, &c_b7, &t[i__ + 1 + i__ * t_dim1], &
c__1);
} else {
// Skip any leading zeros.
i__1 = i__ - 1;
for (lastv = 1; lastv <= i__1; ++lastv) {
if (v[i__ + lastv * v_dim1] != 0.) {
break;
}
}
i__1 = *k;
for (j = i__ + 1; j <= i__1; ++j) {
t[j + i__ * t_dim1] = -tau[i__] * v[j + (*n - *k
+ i__) * v_dim1];
}
j = max(lastv,prevlastv);
//
// T(i+1:k,i) = -tau(i) * V(i+1:k,j:n-k+i) * V(i,j:n-k+i)**T
//
i__1 = *k - i__;
i__2 = *n - *k + i__ - j;
d__1 = -tau[i__];
dgemv_("No transpose", &i__1, &i__2, &d__1, &v[i__ +
1 + j * v_dim1], ldv, &v[i__ + j * v_dim1],
ldv, &c_b7, &t[i__ + 1 + i__ * t_dim1], &c__1)
;
}
//
// T(i+1:k,i) := T(i+1:k,i+1:k) * T(i+1:k,i)
//
i__1 = *k - i__;
dtrmv_("Lower", "No transpose", "Non-unit", &i__1, &t[i__
+ 1 + (i__ + 1) * t_dim1], ldt, &t[i__ + 1 + i__ *
t_dim1], &c__1);
if (i__ > 1) {
prevlastv = min(prevlastv,lastv);
} else {
prevlastv = lastv;
}
}
t[i__ + i__ * t_dim1] = tau[i__];
}
}
}
return 0;
//
// End of DLARFT
//
} // dlarft_
-236
View File
@@ -1,236 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b DLARTG generates a plane rotation with real cosine and real sine.
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
//> \htmlonly
//> Download DLARTG + dependencies
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dlartg.f">
//> [TGZ]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dlartg.f">
//> [ZIP]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dlartg.f">
//> [TXT]</a>
//> \endhtmlonly
//
// Definition:
// ===========
//
// SUBROUTINE DLARTG( F, G, CS, SN, R )
//
// .. Scalar Arguments ..
// DOUBLE PRECISION CS, F, G, R, SN
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DLARTG generate a plane rotation so that
//>
//> [ CS SN ] . [ F ] = [ R ] where CS**2 + SN**2 = 1.
//> [ -SN CS ] [ G ] [ 0 ]
//>
//> This is a slower, more accurate version of the BLAS1 routine DROTG,
//> with the following other differences:
//> F and G are unchanged on return.
//> If G=0, then CS=1 and SN=0.
//> If F=0 and (G .ne. 0), then CS=0 and SN=1 without doing any
//> floating point operations (saves work in DBDSQR when
//> there are zeros on the diagonal).
//>
//> If F exceeds G in magnitude, CS will be positive.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] F
//> \verbatim
//> F is DOUBLE PRECISION
//> The first component of vector to be rotated.
//> \endverbatim
//>
//> \param[in] G
//> \verbatim
//> G is DOUBLE PRECISION
//> The second component of vector to be rotated.
//> \endverbatim
//>
//> \param[out] CS
//> \verbatim
//> CS is DOUBLE PRECISION
//> The cosine of the rotation.
//> \endverbatim
//>
//> \param[out] SN
//> \verbatim
//> SN is DOUBLE PRECISION
//> The sine of the rotation.
//> \endverbatim
//>
//> \param[out] R
//> \verbatim
//> R is DOUBLE PRECISION
//> The nonzero component of the rotated vector.
//>
//> This version has a few statements commented out for thread safety
//> (machine parameters are computed on each entry). 10 feb 03, SJH.
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date December 2016
//
//> \ingroup OTHERauxiliary
//
// =====================================================================
/* Subroutine */ int dlartg_(double *f, double *g, double *cs, double *sn,
double *r__)
{
// System generated locals
int i__1;
double d__1, d__2;
// Local variables
int i__;
double f1, g1, eps, scale;
int count;
double safmn2, safmx2;
extern double dlamch_(char *);
double safmin;
//
// -- LAPACK auxiliary routine (version 3.7.0) --
// -- LAPACK is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// December 2016
//
// .. Scalar Arguments ..
// ..
//
// =====================================================================
//
// .. Parameters ..
// ..
// .. Local Scalars ..
// LOGICAL FIRST
// ..
// .. External Functions ..
// ..
// .. Intrinsic Functions ..
// ..
// .. Save statement ..
// SAVE FIRST, SAFMX2, SAFMIN, SAFMN2
// ..
// .. Data statements ..
// DATA FIRST / .TRUE. /
// ..
// .. Executable Statements ..
//
// IF( FIRST ) THEN
safmin = dlamch_("S");
eps = dlamch_("E");
d__1 = dlamch_("B");
i__1 = (int) (log(safmin / eps) / log(dlamch_("B")) / 2.);
safmn2 = pow_di(&d__1, &i__1);
safmx2 = 1. / safmn2;
// FIRST = .FALSE.
// END IF
if (*g == 0.) {
*cs = 1.;
*sn = 0.;
*r__ = *f;
} else if (*f == 0.) {
*cs = 0.;
*sn = 1.;
*r__ = *g;
} else {
f1 = *f;
g1 = *g;
// Computing MAX
d__1 = abs(f1), d__2 = abs(g1);
scale = max(d__1,d__2);
if (scale >= safmx2) {
count = 0;
L10:
++count;
f1 *= safmn2;
g1 *= safmn2;
// Computing MAX
d__1 = abs(f1), d__2 = abs(g1);
scale = max(d__1,d__2);
if (scale >= safmx2) {
goto L10;
}
// Computing 2nd power
d__1 = f1;
// Computing 2nd power
d__2 = g1;
*r__ = sqrt(d__1 * d__1 + d__2 * d__2);
*cs = f1 / *r__;
*sn = g1 / *r__;
i__1 = count;
for (i__ = 1; i__ <= i__1; ++i__) {
*r__ *= safmx2;
// L20:
}
} else if (scale <= safmn2) {
count = 0;
L30:
++count;
f1 *= safmx2;
g1 *= safmx2;
// Computing MAX
d__1 = abs(f1), d__2 = abs(g1);
scale = max(d__1,d__2);
if (scale <= safmn2) {
goto L30;
}
// Computing 2nd power
d__1 = f1;
// Computing 2nd power
d__2 = g1;
*r__ = sqrt(d__1 * d__1 + d__2 * d__2);
*cs = f1 / *r__;
*sn = g1 / *r__;
i__1 = count;
for (i__ = 1; i__ <= i__1; ++i__) {
*r__ *= safmn2;
// L40:
}
} else {
// Computing 2nd power
d__1 = f1;
// Computing 2nd power
d__2 = g1;
*r__ = sqrt(d__1 * d__1 + d__2 * d__2);
*cs = f1 / *r__;
*sn = g1 / *r__;
}
if (abs(*f) > abs(*g) && *cs < 0.) {
*cs = -(*cs);
*sn = -(*sn);
*r__ = -(*r__);
}
}
return 0;
//
// End of DLARTG
//
} // dlartg_
-413
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@@ -1,413 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b DLASCL multiplies a general rectangular matrix by a real scalar defined as cto/cfrom.
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
//> \htmlonly
//> Download DLASCL + dependencies
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dlascl.f">
//> [TGZ]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dlascl.f">
//> [ZIP]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dlascl.f">
//> [TXT]</a>
//> \endhtmlonly
//
// Definition:
// ===========
//
// SUBROUTINE DLASCL( TYPE, KL, KU, CFROM, CTO, M, N, A, LDA, INFO )
//
// .. Scalar Arguments ..
// CHARACTER TYPE
// INTEGER INFO, KL, KU, LDA, M, N
// DOUBLE PRECISION CFROM, CTO
// ..
// .. Array Arguments ..
// DOUBLE PRECISION A( LDA, * )
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DLASCL multiplies the M by N real matrix A by the real scalar
//> CTO/CFROM. This is done without over/underflow as long as the final
//> result CTO*A(I,J)/CFROM does not over/underflow. TYPE specifies that
//> A may be full, upper triangular, lower triangular, upper Hessenberg,
//> or banded.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] TYPE
//> \verbatim
//> TYPE is CHARACTER*1
//> TYPE indices the storage type of the input matrix.
//> = 'G': A is a full matrix.
//> = 'L': A is a lower triangular matrix.
//> = 'U': A is an upper triangular matrix.
//> = 'H': A is an upper Hessenberg matrix.
//> = 'B': A is a symmetric band matrix with lower bandwidth KL
//> and upper bandwidth KU and with the only the lower
//> half stored.
//> = 'Q': A is a symmetric band matrix with lower bandwidth KL
//> and upper bandwidth KU and with the only the upper
//> half stored.
//> = 'Z': A is a band matrix with lower bandwidth KL and upper
//> bandwidth KU. See DGBTRF for storage details.
//> \endverbatim
//>
//> \param[in] KL
//> \verbatim
//> KL is INTEGER
//> The lower bandwidth of A. Referenced only if TYPE = 'B',
//> 'Q' or 'Z'.
//> \endverbatim
//>
//> \param[in] KU
//> \verbatim
//> KU is INTEGER
//> The upper bandwidth of A. Referenced only if TYPE = 'B',
//> 'Q' or 'Z'.
//> \endverbatim
//>
//> \param[in] CFROM
//> \verbatim
//> CFROM is DOUBLE PRECISION
//> \endverbatim
//>
//> \param[in] CTO
//> \verbatim
//> CTO is DOUBLE PRECISION
//>
//> The matrix A is multiplied by CTO/CFROM. A(I,J) is computed
//> without over/underflow if the final result CTO*A(I,J)/CFROM
//> can be represented without over/underflow. CFROM must be
//> nonzero.
//> \endverbatim
//>
//> \param[in] M
//> \verbatim
//> M is INTEGER
//> The number of rows of the matrix A. M >= 0.
//> \endverbatim
//>
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> The number of columns of the matrix A. N >= 0.
//> \endverbatim
//>
//> \param[in,out] A
//> \verbatim
//> A is DOUBLE PRECISION array, dimension (LDA,N)
//> The matrix to be multiplied by CTO/CFROM. See TYPE for the
//> storage type.
//> \endverbatim
//>
//> \param[in] LDA
//> \verbatim
//> LDA is INTEGER
//> The leading dimension of the array A.
//> If TYPE = 'G', 'L', 'U', 'H', LDA >= max(1,M);
//> TYPE = 'B', LDA >= KL+1;
//> TYPE = 'Q', LDA >= KU+1;
//> TYPE = 'Z', LDA >= 2*KL+KU+1.
//> \endverbatim
//>
//> \param[out] INFO
//> \verbatim
//> INFO is INTEGER
//> 0 - successful exit
//> <0 - if INFO = -i, the i-th argument had an illegal value.
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date June 2016
//
//> \ingroup OTHERauxiliary
//
// =====================================================================
/* Subroutine */ int dlascl_(char *type__, int *kl, int *ku, double *cfrom,
double *cto, int *m, int *n, double *a, int *lda, int *info)
{
// System generated locals
int a_dim1, a_offset, i__1, i__2, i__3, i__4, i__5;
// Local variables
int i__, j, k1, k2, k3, k4;
double mul, cto1;
int done;
double ctoc;
extern int lsame_(char *, char *);
int itype;
double cfrom1;
extern double dlamch_(char *);
double cfromc;
extern int disnan_(double *);
extern /* Subroutine */ int xerbla_(char *, int *);
double bignum, smlnum;
//
// -- LAPACK auxiliary routine (version 3.7.0) --
// -- LAPACK is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// June 2016
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. Parameters ..
// ..
// .. Local Scalars ..
// ..
// .. External Functions ..
// ..
// .. Intrinsic Functions ..
// ..
// .. External Subroutines ..
// ..
// .. Executable Statements ..
//
// Test the input arguments
//
// Parameter adjustments
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
// Function Body
*info = 0;
if (lsame_(type__, "G")) {
itype = 0;
} else if (lsame_(type__, "L")) {
itype = 1;
} else if (lsame_(type__, "U")) {
itype = 2;
} else if (lsame_(type__, "H")) {
itype = 3;
} else if (lsame_(type__, "B")) {
itype = 4;
} else if (lsame_(type__, "Q")) {
itype = 5;
} else if (lsame_(type__, "Z")) {
itype = 6;
} else {
itype = -1;
}
if (itype == -1) {
*info = -1;
} else if (*cfrom == 0. || disnan_(cfrom)) {
*info = -4;
} else if (disnan_(cto)) {
*info = -5;
} else if (*m < 0) {
*info = -6;
} else if (*n < 0 || itype == 4 && *n != *m || itype == 5 && *n != *m) {
*info = -7;
} else if (itype <= 3 && *lda < max(1,*m)) {
*info = -9;
} else if (itype >= 4) {
// Computing MAX
i__1 = *m - 1;
if (*kl < 0 || *kl > max(i__1,0)) {
*info = -2;
} else /* if(complicated condition) */ {
// Computing MAX
i__1 = *n - 1;
if (*ku < 0 || *ku > max(i__1,0) || (itype == 4 || itype == 5) &&
*kl != *ku) {
*info = -3;
} else if (itype == 4 && *lda < *kl + 1 || itype == 5 && *lda < *
ku + 1 || itype == 6 && *lda < (*kl << 1) + *ku + 1) {
*info = -9;
}
}
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("DLASCL", &i__1);
return 0;
}
//
// Quick return if possible
//
if (*n == 0 || *m == 0) {
return 0;
}
//
// Get machine parameters
//
smlnum = dlamch_("S");
bignum = 1. / smlnum;
cfromc = *cfrom;
ctoc = *cto;
L10:
cfrom1 = cfromc * smlnum;
if (cfrom1 == cfromc) {
// CFROMC is an inf. Multiply by a correctly signed zero for
// finite CTOC, or a NaN if CTOC is infinite.
mul = ctoc / cfromc;
done = TRUE_;
cto1 = ctoc;
} else {
cto1 = ctoc / bignum;
if (cto1 == ctoc) {
// CTOC is either 0 or an inf. In both cases, CTOC itself
// serves as the correct multiplication factor.
mul = ctoc;
done = TRUE_;
cfromc = 1.;
} else if (abs(cfrom1) > abs(ctoc) && ctoc != 0.) {
mul = smlnum;
done = FALSE_;
cfromc = cfrom1;
} else if (abs(cto1) > abs(cfromc)) {
mul = bignum;
done = FALSE_;
ctoc = cto1;
} else {
mul = ctoc / cfromc;
done = TRUE_;
}
}
if (itype == 0) {
//
// Full matrix
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
a[i__ + j * a_dim1] *= mul;
// L20:
}
// L30:
}
} else if (itype == 1) {
//
// Lower triangular matrix
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = j; i__ <= i__2; ++i__) {
a[i__ + j * a_dim1] *= mul;
// L40:
}
// L50:
}
} else if (itype == 2) {
//
// Upper triangular matrix
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = min(j,*m);
for (i__ = 1; i__ <= i__2; ++i__) {
a[i__ + j * a_dim1] *= mul;
// L60:
}
// L70:
}
} else if (itype == 3) {
//
// Upper Hessenberg matrix
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
// Computing MIN
i__3 = j + 1;
i__2 = min(i__3,*m);
for (i__ = 1; i__ <= i__2; ++i__) {
a[i__ + j * a_dim1] *= mul;
// L80:
}
// L90:
}
} else if (itype == 4) {
//
// Lower half of a symmetric band matrix
//
k3 = *kl + 1;
k4 = *n + 1;
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
// Computing MIN
i__3 = k3, i__4 = k4 - j;
i__2 = min(i__3,i__4);
for (i__ = 1; i__ <= i__2; ++i__) {
a[i__ + j * a_dim1] *= mul;
// L100:
}
// L110:
}
} else if (itype == 5) {
//
// Upper half of a symmetric band matrix
//
k1 = *ku + 2;
k3 = *ku + 1;
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
// Computing MAX
i__2 = k1 - j;
i__3 = k3;
for (i__ = max(i__2,1); i__ <= i__3; ++i__) {
a[i__ + j * a_dim1] *= mul;
// L120:
}
// L130:
}
} else if (itype == 6) {
//
// Band matrix
//
k1 = *kl + *ku + 2;
k2 = *kl + 1;
k3 = (*kl << 1) + *ku + 1;
k4 = *kl + *ku + 1 + *m;
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
// Computing MAX
i__3 = k1 - j;
// Computing MIN
i__4 = k3, i__5 = k4 - j;
i__2 = min(i__4,i__5);
for (i__ = max(i__3,k2); i__ <= i__2; ++i__) {
a[i__ + j * a_dim1] *= mul;
// L140:
}
// L150:
}
}
if (! done) {
goto L10;
}
return 0;
//
// End of DLASCL
//
} // dlascl_
-209
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@@ -1,209 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b DLASET initializes the off-diagonal elements and the diagonal elements of a matrix to given values.
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
//> \htmlonly
//> Download DLASET + dependencies
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dlaset.f">
//> [TGZ]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dlaset.f">
//> [ZIP]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dlaset.f">
//> [TXT]</a>
//> \endhtmlonly
//
// Definition:
// ===========
//
// SUBROUTINE DLASET( UPLO, M, N, ALPHA, BETA, A, LDA )
//
// .. Scalar Arguments ..
// CHARACTER UPLO
// INTEGER LDA, M, N
// DOUBLE PRECISION ALPHA, BETA
// ..
// .. Array Arguments ..
// DOUBLE PRECISION A( LDA, * )
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DLASET initializes an m-by-n matrix A to BETA on the diagonal and
//> ALPHA on the offdiagonals.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] UPLO
//> \verbatim
//> UPLO is CHARACTER*1
//> Specifies the part of the matrix A to be set.
//> = 'U': Upper triangular part is set; the strictly lower
//> triangular part of A is not changed.
//> = 'L': Lower triangular part is set; the strictly upper
//> triangular part of A is not changed.
//> Otherwise: All of the matrix A is set.
//> \endverbatim
//>
//> \param[in] M
//> \verbatim
//> M is INTEGER
//> The number of rows of the matrix A. M >= 0.
//> \endverbatim
//>
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> The number of columns of the matrix A. N >= 0.
//> \endverbatim
//>
//> \param[in] ALPHA
//> \verbatim
//> ALPHA is DOUBLE PRECISION
//> The constant to which the offdiagonal elements are to be set.
//> \endverbatim
//>
//> \param[in] BETA
//> \verbatim
//> BETA is DOUBLE PRECISION
//> The constant to which the diagonal elements are to be set.
//> \endverbatim
//>
//> \param[out] A
//> \verbatim
//> A is DOUBLE PRECISION array, dimension (LDA,N)
//> On exit, the leading m-by-n submatrix of A is set as follows:
//>
//> if UPLO = 'U', A(i,j) = ALPHA, 1<=i<=j-1, 1<=j<=n,
//> if UPLO = 'L', A(i,j) = ALPHA, j+1<=i<=m, 1<=j<=n,
//> otherwise, A(i,j) = ALPHA, 1<=i<=m, 1<=j<=n, i.ne.j,
//>
//> and, for all UPLO, A(i,i) = BETA, 1<=i<=min(m,n).
//> \endverbatim
//>
//> \param[in] LDA
//> \verbatim
//> LDA is INTEGER
//> The leading dimension of the array A. LDA >= max(1,M).
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date December 2016
//
//> \ingroup OTHERauxiliary
//
// =====================================================================
/* Subroutine */ int dlaset_(char *uplo, int *m, int *n, double *alpha,
double *beta, double *a, int *lda)
{
// System generated locals
int a_dim1, a_offset, i__1, i__2, i__3;
// Local variables
int i__, j;
extern int lsame_(char *, char *);
//
// -- LAPACK auxiliary routine (version 3.7.0) --
// -- LAPACK is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// December 2016
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
//=====================================================================
//
// .. Local Scalars ..
// ..
// .. External Functions ..
// ..
// .. Intrinsic Functions ..
// ..
// .. Executable Statements ..
//
// Parameter adjustments
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
// Function Body
if (lsame_(uplo, "U")) {
//
// Set the strictly upper triangular or trapezoidal part of the
// array to ALPHA.
//
i__1 = *n;
for (j = 2; j <= i__1; ++j) {
// Computing MIN
i__3 = j - 1;
i__2 = min(i__3,*m);
for (i__ = 1; i__ <= i__2; ++i__) {
a[i__ + j * a_dim1] = *alpha;
// L10:
}
// L20:
}
} else if (lsame_(uplo, "L")) {
//
// Set the strictly lower triangular or trapezoidal part of the
// array to ALPHA.
//
i__1 = min(*m,*n);
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = j + 1; i__ <= i__2; ++i__) {
a[i__ + j * a_dim1] = *alpha;
// L30:
}
// L40:
}
} else {
//
// Set the leading m-by-n submatrix to ALPHA.
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
a[i__ + j * a_dim1] = *alpha;
// L50:
}
// L60:
}
}
//
// Set the first min(M,N) diagonal elements to BETA.
//
i__1 = min(*m,*n);
for (i__ = 1; i__ <= i__1; ++i__) {
a[i__ + i__ * a_dim1] = *beta;
// L70:
}
return 0;
//
// End of DLASET
//
} // dlaset_
-172
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@@ -1,172 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b DLASSQ updates a sum of squares represented in scaled form.
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
//> \htmlonly
//> Download DLASSQ + dependencies
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dlassq.f">
//> [TGZ]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dlassq.f">
//> [ZIP]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dlassq.f">
//> [TXT]</a>
//> \endhtmlonly
//
// Definition:
// ===========
//
// SUBROUTINE DLASSQ( N, X, INCX, SCALE, SUMSQ )
//
// .. Scalar Arguments ..
// INTEGER INCX, N
// DOUBLE PRECISION SCALE, SUMSQ
// ..
// .. Array Arguments ..
// DOUBLE PRECISION X( * )
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DLASSQ returns the values scl and smsq such that
//>
//> ( scl**2 )*smsq = x( 1 )**2 +...+ x( n )**2 + ( scale**2 )*sumsq,
//>
//> where x( i ) = X( 1 + ( i - 1 )*INCX ). The value of sumsq is
//> assumed to be non-negative and scl returns the value
//>
//> scl = max( scale, abs( x( i ) ) ).
//>
//> scale and sumsq must be supplied in SCALE and SUMSQ and
//> scl and smsq are overwritten on SCALE and SUMSQ respectively.
//>
//> The routine makes only one pass through the vector x.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> The number of elements to be used from the vector X.
//> \endverbatim
//>
//> \param[in] X
//> \verbatim
//> X is DOUBLE PRECISION array, dimension (1+(N-1)*INCX)
//> The vector for which a scaled sum of squares is computed.
//> x( i ) = X( 1 + ( i - 1 )*INCX ), 1 <= i <= n.
//> \endverbatim
//>
//> \param[in] INCX
//> \verbatim
//> INCX is INTEGER
//> The increment between successive values of the vector X.
//> INCX > 0.
//> \endverbatim
//>
//> \param[in,out] SCALE
//> \verbatim
//> SCALE is DOUBLE PRECISION
//> On entry, the value scale in the equation above.
//> On exit, SCALE is overwritten with scl , the scaling factor
//> for the sum of squares.
//> \endverbatim
//>
//> \param[in,out] SUMSQ
//> \verbatim
//> SUMSQ is DOUBLE PRECISION
//> On entry, the value sumsq in the equation above.
//> On exit, SUMSQ is overwritten with smsq , the basic sum of
//> squares from which scl has been factored out.
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date December 2016
//
//> \ingroup OTHERauxiliary
//
// =====================================================================
/* Subroutine */ int dlassq_(int *n, double *x, int *incx, double *scale,
double *sumsq)
{
// System generated locals
int i__1, i__2;
double d__1;
// Local variables
int ix;
double absxi;
extern int disnan_(double *);
//
// -- LAPACK auxiliary routine (version 3.7.0) --
// -- LAPACK is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// December 2016
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
//=====================================================================
//
// .. Parameters ..
// ..
// .. Local Scalars ..
// ..
// .. External Functions ..
// ..
// .. Intrinsic Functions ..
// ..
// .. Executable Statements ..
//
// Parameter adjustments
--x;
// Function Body
if (*n > 0) {
i__1 = (*n - 1) * *incx + 1;
i__2 = *incx;
for (ix = 1; i__2 < 0 ? ix >= i__1 : ix <= i__1; ix += i__2) {
absxi = (d__1 = x[ix], abs(d__1));
if (absxi > 0. || disnan_(&absxi)) {
if (*scale < absxi) {
// Computing 2nd power
d__1 = *scale / absxi;
*sumsq = *sumsq * (d__1 * d__1) + 1;
*scale = absxi;
} else {
// Computing 2nd power
d__1 = absxi / *scale;
*sumsq += d__1 * d__1;
}
}
// L10:
}
}
return 0;
//
// End of DLASSQ
//
} // dlassq_
-149
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@@ -1,149 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b DNRM2
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
// Definition:
// ===========
//
// DOUBLE PRECISION FUNCTION DNRM2(N,X,INCX)
//
// .. Scalar Arguments ..
// INTEGER INCX,N
// ..
// .. Array Arguments ..
// DOUBLE PRECISION X(*)
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DNRM2 returns the euclidean norm of a vector via the function
//> name, so that
//>
//> DNRM2 := sqrt( x'*x )
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> number of elements in input vector(s)
//> \endverbatim
//>
//> \param[in] X
//> \verbatim
//> X is DOUBLE PRECISION array, dimension ( 1 + ( N - 1 )*abs( INCX ) )
//> \endverbatim
//>
//> \param[in] INCX
//> \verbatim
//> INCX is INTEGER
//> storage spacing between elements of DX
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date November 2017
//
//> \ingroup double_blas_level1
//
//> \par Further Details:
// =====================
//>
//> \verbatim
//>
//> -- This version written on 25-October-1982.
//> Modified on 14-October-1993 to inline the call to DLASSQ.
//> Sven Hammarling, Nag Ltd.
//> \endverbatim
//>
// =====================================================================
double dnrm2_(int *n, double *x, int *incx)
{
// System generated locals
int i__1, i__2;
double ret_val, d__1;
// Local variables
int ix;
double ssq, norm, scale, absxi;
//
// -- Reference BLAS level1 routine (version 3.8.0) --
// -- Reference BLAS is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// November 2017
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. Parameters ..
// ..
// .. Local Scalars ..
// ..
// .. Intrinsic Functions ..
// ..
// Parameter adjustments
--x;
// Function Body
if (*n < 1 || *incx < 1) {
norm = 0.;
} else if (*n == 1) {
norm = abs(x[1]);
} else {
scale = 0.;
ssq = 1.;
// The following loop is equivalent to this call to the LAPACK
// auxiliary routine:
// CALL DLASSQ( N, X, INCX, SCALE, SSQ )
//
i__1 = (*n - 1) * *incx + 1;
i__2 = *incx;
for (ix = 1; i__2 < 0 ? ix >= i__1 : ix <= i__1; ix += i__2) {
if (x[ix] != 0.) {
absxi = (d__1 = x[ix], abs(d__1));
if (scale < absxi) {
// Computing 2nd power
d__1 = scale / absxi;
ssq = ssq * (d__1 * d__1) + 1.;
scale = absxi;
} else {
// Computing 2nd power
d__1 = absxi / scale;
ssq += d__1 * d__1;
}
}
// L10:
}
norm = scale * sqrt(ssq);
}
ret_val = norm;
return ret_val;
//
// End of DNRM2.
//
} // dnrm2_
-571
View File
@@ -1,571 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b DORG2R generates all or part of the orthogonal matrix Q from a QR factorization determined by sgeqrf (unblocked algorithm).
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
//> \htmlonly
//> Download DORG2R + dependencies
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dorg2r.f">
//> [TGZ]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dorg2r.f">
//> [ZIP]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dorg2r.f">
//> [TXT]</a>
//> \endhtmlonly
//
// Definition:
// ===========
//
// SUBROUTINE DORG2R( M, N, K, A, LDA, TAU, WORK, INFO )
//
// .. Scalar Arguments ..
// INTEGER INFO, K, LDA, M, N
// ..
// .. Array Arguments ..
// DOUBLE PRECISION A( LDA, * ), TAU( * ), WORK( * )
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DORG2R generates an m by n real matrix Q with orthonormal columns,
//> which is defined as the first n columns of a product of k elementary
//> reflectors of order m
//>
//> Q = H(1) H(2) . . . H(k)
//>
//> as returned by DGEQRF.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] M
//> \verbatim
//> M is INTEGER
//> The number of rows of the matrix Q. M >= 0.
//> \endverbatim
//>
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> The number of columns of the matrix Q. M >= N >= 0.
//> \endverbatim
//>
//> \param[in] K
//> \verbatim
//> K is INTEGER
//> The number of elementary reflectors whose product defines the
//> matrix Q. N >= K >= 0.
//> \endverbatim
//>
//> \param[in,out] A
//> \verbatim
//> A is DOUBLE PRECISION array, dimension (LDA,N)
//> On entry, the i-th column must contain the vector which
//> defines the elementary reflector H(i), for i = 1,2,...,k, as
//> returned by DGEQRF in the first k columns of its array
//> argument A.
//> On exit, the m-by-n matrix Q.
//> \endverbatim
//>
//> \param[in] LDA
//> \verbatim
//> LDA is INTEGER
//> The first dimension of the array A. LDA >= max(1,M).
//> \endverbatim
//>
//> \param[in] TAU
//> \verbatim
//> TAU is DOUBLE PRECISION array, dimension (K)
//> TAU(i) must contain the scalar factor of the elementary
//> reflector H(i), as returned by DGEQRF.
//> \endverbatim
//>
//> \param[out] WORK
//> \verbatim
//> WORK is DOUBLE PRECISION array, dimension (N)
//> \endverbatim
//>
//> \param[out] INFO
//> \verbatim
//> INFO is INTEGER
//> = 0: successful exit
//> < 0: if INFO = -i, the i-th argument has an illegal value
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date December 2016
//
//> \ingroup doubleOTHERcomputational
//
// =====================================================================
/* Subroutine */ int dorg2r_(int *m, int *n, int *k, double *a, int *lda,
double *tau, double *work, int *info)
{
// Table of constant values
int c__1 = 1;
// System generated locals
int a_dim1, a_offset, i__1, i__2;
double d__1;
// Local variables
int i__, j, l;
extern /* Subroutine */ int dscal_(int *, double *, double *, int *),
dlarf_(char *, int *, int *, double *, int *, double *, double *,
int *, double *), xerbla_(char *, int *);
//
// -- LAPACK computational routine (version 3.7.0) --
// -- LAPACK is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// December 2016
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. Parameters ..
// ..
// .. Local Scalars ..
// ..
// .. External Subroutines ..
// ..
// .. Intrinsic Functions ..
// ..
// .. Executable Statements ..
//
// Test the input arguments
//
// Parameter adjustments
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
--tau;
--work;
// Function Body
*info = 0;
if (*m < 0) {
*info = -1;
} else if (*n < 0 || *n > *m) {
*info = -2;
} else if (*k < 0 || *k > *n) {
*info = -3;
} else if (*lda < max(1,*m)) {
*info = -5;
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("DORG2R", &i__1);
return 0;
}
//
// Quick return if possible
//
if (*n <= 0) {
return 0;
}
//
// Initialise columns k+1:n to columns of the unit matrix
//
i__1 = *n;
for (j = *k + 1; j <= i__1; ++j) {
i__2 = *m;
for (l = 1; l <= i__2; ++l) {
a[l + j * a_dim1] = 0.;
// L10:
}
a[j + j * a_dim1] = 1.;
// L20:
}
for (i__ = *k; i__ >= 1; --i__) {
//
// Apply H(i) to A(i:m,i:n) from the left
//
if (i__ < *n) {
a[i__ + i__ * a_dim1] = 1.;
i__1 = *m - i__ + 1;
i__2 = *n - i__;
dlarf_("Left", &i__1, &i__2, &a[i__ + i__ * a_dim1], &c__1, &tau[
i__], &a[i__ + (i__ + 1) * a_dim1], lda, &work[1]);
}
if (i__ < *m) {
i__1 = *m - i__;
d__1 = -tau[i__];
dscal_(&i__1, &d__1, &a[i__ + 1 + i__ * a_dim1], &c__1);
}
a[i__ + i__ * a_dim1] = 1. - tau[i__];
//
// Set A(1:i-1,i) to zero
//
i__1 = i__ - 1;
for (l = 1; l <= i__1; ++l) {
a[l + i__ * a_dim1] = 0.;
// L30:
}
// L40:
}
return 0;
//
// End of DORG2R
//
} // dorg2r_
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
//> \brief \b DORGQR
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
//> \htmlonly
//> Download DORGQR + dependencies
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dorgqr.f">
//> [TGZ]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dorgqr.f">
//> [ZIP]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dorgqr.f">
//> [TXT]</a>
//> \endhtmlonly
//
// Definition:
// ===========
//
// SUBROUTINE DORGQR( M, N, K, A, LDA, TAU, WORK, LWORK, INFO )
//
// .. Scalar Arguments ..
// INTEGER INFO, K, LDA, LWORK, M, N
// ..
// .. Array Arguments ..
// DOUBLE PRECISION A( LDA, * ), TAU( * ), WORK( * )
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DORGQR generates an M-by-N real matrix Q with orthonormal columns,
//> which is defined as the first N columns of a product of K elementary
//> reflectors of order M
//>
//> Q = H(1) H(2) . . . H(k)
//>
//> as returned by DGEQRF.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] M
//> \verbatim
//> M is INTEGER
//> The number of rows of the matrix Q. M >= 0.
//> \endverbatim
//>
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> The number of columns of the matrix Q. M >= N >= 0.
//> \endverbatim
//>
//> \param[in] K
//> \verbatim
//> K is INTEGER
//> The number of elementary reflectors whose product defines the
//> matrix Q. N >= K >= 0.
//> \endverbatim
//>
//> \param[in,out] A
//> \verbatim
//> A is DOUBLE PRECISION array, dimension (LDA,N)
//> On entry, the i-th column must contain the vector which
//> defines the elementary reflector H(i), for i = 1,2,...,k, as
//> returned by DGEQRF in the first k columns of its array
//> argument A.
//> On exit, the M-by-N matrix Q.
//> \endverbatim
//>
//> \param[in] LDA
//> \verbatim
//> LDA is INTEGER
//> The first dimension of the array A. LDA >= max(1,M).
//> \endverbatim
//>
//> \param[in] TAU
//> \verbatim
//> TAU is DOUBLE PRECISION array, dimension (K)
//> TAU(i) must contain the scalar factor of the elementary
//> reflector H(i), as returned by DGEQRF.
//> \endverbatim
//>
//> \param[out] WORK
//> \verbatim
//> WORK is DOUBLE PRECISION array, dimension (MAX(1,LWORK))
//> On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
//> \endverbatim
//>
//> \param[in] LWORK
//> \verbatim
//> LWORK is INTEGER
//> The dimension of the array WORK. LWORK >= max(1,N).
//> For optimum performance LWORK >= N*NB, where NB is the
//> optimal blocksize.
//>
//> If LWORK = -1, then a workspace query is assumed; the routine
//> only calculates the optimal size of the WORK array, returns
//> this value as the first entry of the WORK array, and no error
//> message related to LWORK is issued by XERBLA.
//> \endverbatim
//>
//> \param[out] INFO
//> \verbatim
//> INFO is INTEGER
//> = 0: successful exit
//> < 0: if INFO = -i, the i-th argument has an illegal value
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date December 2016
//
//> \ingroup doubleOTHERcomputational
//
// =====================================================================
/* Subroutine */ int dorgqr_(int *m, int *n, int *k, double *a, int *lda,
double *tau, double *work, int *lwork, int *info)
{
// Table of constant values
int c__1 = 1;
int c_n1 = -1;
int c__3 = 3;
int c__2 = 2;
// System generated locals
int a_dim1, a_offset, i__1, i__2, i__3;
// Local variables
int i__, j, l, ib, nb, ki, kk, nx, iws, nbmin, iinfo;
extern /* Subroutine */ int dorg2r_(int *, int *, int *, double *, int *,
double *, double *, int *), dlarfb_(char *, char *, char *, char *
, int *, int *, int *, double *, int *, double *, int *, double *,
int *, double *, int *), dlarft_(char *, char *, int *, int *,
double *, int *, double *, double *, int *), xerbla_(char *, int *
);
extern int ilaenv_(int *, char *, char *, int *, int *, int *, int *);
int ldwork, lwkopt;
int lquery;
//
// -- LAPACK computational routine (version 3.7.0) --
// -- LAPACK is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// December 2016
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. Parameters ..
// ..
// .. Local Scalars ..
// ..
// .. External Subroutines ..
// ..
// .. Intrinsic Functions ..
// ..
// .. External Functions ..
// ..
// .. Executable Statements ..
//
// Test the input arguments
//
// Parameter adjustments
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
--tau;
--work;
// Function Body
*info = 0;
nb = ilaenv_(&c__1, "DORGQR", " ", m, n, k, &c_n1);
lwkopt = max(1,*n) * nb;
work[1] = (double) lwkopt;
lquery = *lwork == -1;
if (*m < 0) {
*info = -1;
} else if (*n < 0 || *n > *m) {
*info = -2;
} else if (*k < 0 || *k > *n) {
*info = -3;
} else if (*lda < max(1,*m)) {
*info = -5;
} else if (*lwork < max(1,*n) && ! lquery) {
*info = -8;
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("DORGQR", &i__1);
return 0;
} else if (lquery) {
return 0;
}
//
// Quick return if possible
//
if (*n <= 0) {
work[1] = 1.;
return 0;
}
nbmin = 2;
nx = 0;
iws = *n;
if (nb > 1 && nb < *k) {
//
// Determine when to cross over from blocked to unblocked code.
//
// Computing MAX
i__1 = 0, i__2 = ilaenv_(&c__3, "DORGQR", " ", m, n, k, &c_n1);
nx = max(i__1,i__2);
if (nx < *k) {
//
// Determine if workspace is large enough for blocked code.
//
ldwork = *n;
iws = ldwork * nb;
if (*lwork < iws) {
//
// Not enough workspace to use optimal NB: reduce NB and
// determine the minimum value of NB.
//
nb = *lwork / ldwork;
// Computing MAX
i__1 = 2, i__2 = ilaenv_(&c__2, "DORGQR", " ", m, n, k, &c_n1)
;
nbmin = max(i__1,i__2);
}
}
}
if (nb >= nbmin && nb < *k && nx < *k) {
//
// Use blocked code after the last block.
// The first kk columns are handled by the block method.
//
ki = (*k - nx - 1) / nb * nb;
// Computing MIN
i__1 = *k, i__2 = ki + nb;
kk = min(i__1,i__2);
//
// Set A(1:kk,kk+1:n) to zero.
//
i__1 = *n;
for (j = kk + 1; j <= i__1; ++j) {
i__2 = kk;
for (i__ = 1; i__ <= i__2; ++i__) {
a[i__ + j * a_dim1] = 0.;
// L10:
}
// L20:
}
} else {
kk = 0;
}
//
// Use unblocked code for the last or only block.
//
if (kk < *n) {
i__1 = *m - kk;
i__2 = *n - kk;
i__3 = *k - kk;
dorg2r_(&i__1, &i__2, &i__3, &a[kk + 1 + (kk + 1) * a_dim1], lda, &
tau[kk + 1], &work[1], &iinfo);
}
if (kk > 0) {
//
// Use blocked code
//
i__1 = -nb;
for (i__ = ki + 1; i__1 < 0 ? i__ >= 1 : i__ <= 1; i__ += i__1) {
// Computing MIN
i__2 = nb, i__3 = *k - i__ + 1;
ib = min(i__2,i__3);
if (i__ + ib <= *n) {
//
// Form the triangular factor of the block reflector
// H = H(i) H(i+1) . . . H(i+ib-1)
//
i__2 = *m - i__ + 1;
dlarft_("Forward", "Columnwise", &i__2, &ib, &a[i__ + i__ *
a_dim1], lda, &tau[i__], &work[1], &ldwork);
//
// Apply H to A(i:m,i+ib:n) from the left
//
i__2 = *m - i__ + 1;
i__3 = *n - i__ - ib + 1;
dlarfb_("Left", "No transpose", "Forward", "Columnwise", &
i__2, &i__3, &ib, &a[i__ + i__ * a_dim1], lda, &work[
1], &ldwork, &a[i__ + (i__ + ib) * a_dim1], lda, &
work[ib + 1], &ldwork);
}
//
// Apply H to rows i:m of current block
//
i__2 = *m - i__ + 1;
dorg2r_(&i__2, &ib, &ib, &a[i__ + i__ * a_dim1], lda, &tau[i__], &
work[1], &iinfo);
//
// Set rows 1:i-1 of current block to zero
//
i__2 = i__ + ib - 1;
for (j = i__; j <= i__2; ++j) {
i__3 = i__ - 1;
for (l = 1; l <= i__3; ++l) {
a[l + j * a_dim1] = 0.;
// L30:
}
// L40:
}
// L50:
}
}
work[1] = (double) iws;
return 0;
//
// End of DORGQR
//
} // dorgqr_
-684
View File
@@ -1,684 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b DORM2R multiplies a general matrix by the orthogonal matrix from a QR factorization determined by sgeqrf (unblocked algorithm).
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
//> \htmlonly
//> Download DORM2R + dependencies
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dorm2r.f">
//> [TGZ]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dorm2r.f">
//> [ZIP]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dorm2r.f">
//> [TXT]</a>
//> \endhtmlonly
//
// Definition:
// ===========
//
// SUBROUTINE DORM2R( SIDE, TRANS, M, N, K, A, LDA, TAU, C, LDC,
// WORK, INFO )
//
// .. Scalar Arguments ..
// CHARACTER SIDE, TRANS
// INTEGER INFO, K, LDA, LDC, M, N
// ..
// .. Array Arguments ..
// DOUBLE PRECISION A( LDA, * ), C( LDC, * ), TAU( * ), WORK( * )
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DORM2R overwrites the general real m by n matrix C with
//>
//> Q * C if SIDE = 'L' and TRANS = 'N', or
//>
//> Q**T* C if SIDE = 'L' and TRANS = 'T', or
//>
//> C * Q if SIDE = 'R' and TRANS = 'N', or
//>
//> C * Q**T if SIDE = 'R' and TRANS = 'T',
//>
//> where Q is a real orthogonal matrix defined as the product of k
//> elementary reflectors
//>
//> Q = H(1) H(2) . . . H(k)
//>
//> as returned by DGEQRF. Q is of order m if SIDE = 'L' and of order n
//> if SIDE = 'R'.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] SIDE
//> \verbatim
//> SIDE is CHARACTER*1
//> = 'L': apply Q or Q**T from the Left
//> = 'R': apply Q or Q**T from the Right
//> \endverbatim
//>
//> \param[in] TRANS
//> \verbatim
//> TRANS is CHARACTER*1
//> = 'N': apply Q (No transpose)
//> = 'T': apply Q**T (Transpose)
//> \endverbatim
//>
//> \param[in] M
//> \verbatim
//> M is INTEGER
//> The number of rows of the matrix C. M >= 0.
//> \endverbatim
//>
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> The number of columns of the matrix C. N >= 0.
//> \endverbatim
//>
//> \param[in] K
//> \verbatim
//> K is INTEGER
//> The number of elementary reflectors whose product defines
//> the matrix Q.
//> If SIDE = 'L', M >= K >= 0;
//> if SIDE = 'R', N >= K >= 0.
//> \endverbatim
//>
//> \param[in] A
//> \verbatim
//> A is DOUBLE PRECISION array, dimension (LDA,K)
//> The i-th column must contain the vector which defines the
//> elementary reflector H(i), for i = 1,2,...,k, as returned by
//> DGEQRF in the first k columns of its array argument A.
//> A is modified by the routine but restored on exit.
//> \endverbatim
//>
//> \param[in] LDA
//> \verbatim
//> LDA is INTEGER
//> The leading dimension of the array A.
//> If SIDE = 'L', LDA >= max(1,M);
//> if SIDE = 'R', LDA >= max(1,N).
//> \endverbatim
//>
//> \param[in] TAU
//> \verbatim
//> TAU is DOUBLE PRECISION array, dimension (K)
//> TAU(i) must contain the scalar factor of the elementary
//> reflector H(i), as returned by DGEQRF.
//> \endverbatim
//>
//> \param[in,out] C
//> \verbatim
//> C is DOUBLE PRECISION array, dimension (LDC,N)
//> On entry, the m by n matrix C.
//> On exit, C is overwritten by Q*C or Q**T*C or C*Q**T or C*Q.
//> \endverbatim
//>
//> \param[in] LDC
//> \verbatim
//> LDC is INTEGER
//> The leading dimension of the array C. LDC >= max(1,M).
//> \endverbatim
//>
//> \param[out] WORK
//> \verbatim
//> WORK is DOUBLE PRECISION array, dimension
//> (N) if SIDE = 'L',
//> (M) if SIDE = 'R'
//> \endverbatim
//>
//> \param[out] INFO
//> \verbatim
//> INFO is INTEGER
//> = 0: successful exit
//> < 0: if INFO = -i, the i-th argument had an illegal value
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date December 2016
//
//> \ingroup doubleOTHERcomputational
//
// =====================================================================
/* Subroutine */ int dorm2r_(char *side, char *trans, int *m, int *n, int *k,
double *a, int *lda, double *tau, double *c__, int *ldc, double *work,
int *info)
{
// Table of constant values
int c__1 = 1;
// System generated locals
int a_dim1, a_offset, c_dim1, c_offset, i__1, i__2;
// Local variables
int i__, i1, i2, i3, ic, jc, mi, ni, nq;
double aii;
int left;
extern /* Subroutine */ int dlarf_(char *, int *, int *, double *, int *,
double *, double *, int *, double *);
extern int lsame_(char *, char *);
extern /* Subroutine */ int xerbla_(char *, int *);
int notran;
//
// -- LAPACK computational routine (version 3.7.0) --
// -- LAPACK is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// December 2016
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. Parameters ..
// ..
// .. Local Scalars ..
// ..
// .. External Functions ..
// ..
// .. External Subroutines ..
// ..
// .. Intrinsic Functions ..
// ..
// .. Executable Statements ..
//
// Test the input arguments
//
// Parameter adjustments
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
--tau;
c_dim1 = *ldc;
c_offset = 1 + c_dim1;
c__ -= c_offset;
--work;
// Function Body
*info = 0;
left = lsame_(side, "L");
notran = lsame_(trans, "N");
//
// NQ is the order of Q
//
if (left) {
nq = *m;
} else {
nq = *n;
}
if (! left && ! lsame_(side, "R")) {
*info = -1;
} else if (! notran && ! lsame_(trans, "T")) {
*info = -2;
} else if (*m < 0) {
*info = -3;
} else if (*n < 0) {
*info = -4;
} else if (*k < 0 || *k > nq) {
*info = -5;
} else if (*lda < max(1,nq)) {
*info = -7;
} else if (*ldc < max(1,*m)) {
*info = -10;
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("DORM2R", &i__1);
return 0;
}
//
// Quick return if possible
//
if (*m == 0 || *n == 0 || *k == 0) {
return 0;
}
if (left && ! notran || ! left && notran) {
i1 = 1;
i2 = *k;
i3 = 1;
} else {
i1 = *k;
i2 = 1;
i3 = -1;
}
if (left) {
ni = *n;
jc = 1;
} else {
mi = *m;
ic = 1;
}
i__1 = i2;
i__2 = i3;
for (i__ = i1; i__2 < 0 ? i__ >= i__1 : i__ <= i__1; i__ += i__2) {
if (left) {
//
// H(i) is applied to C(i:m,1:n)
//
mi = *m - i__ + 1;
ic = i__;
} else {
//
// H(i) is applied to C(1:m,i:n)
//
ni = *n - i__ + 1;
jc = i__;
}
//
// Apply H(i)
//
aii = a[i__ + i__ * a_dim1];
a[i__ + i__ * a_dim1] = 1.;
dlarf_(side, &mi, &ni, &a[i__ + i__ * a_dim1], &c__1, &tau[i__], &c__[
ic + jc * c_dim1], ldc, &work[1]);
a[i__ + i__ * a_dim1] = aii;
// L10:
}
return 0;
//
// End of DORM2R
//
} // dorm2r_
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
//> \brief \b DORMQR
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
//> \htmlonly
//> Download DORMQR + dependencies
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dormqr.f">
//> [TGZ]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dormqr.f">
//> [ZIP]</a>
//> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dormqr.f">
//> [TXT]</a>
//> \endhtmlonly
//
// Definition:
// ===========
//
// SUBROUTINE DORMQR( SIDE, TRANS, M, N, K, A, LDA, TAU, C, LDC,
// WORK, LWORK, INFO )
//
// .. Scalar Arguments ..
// CHARACTER SIDE, TRANS
// INTEGER INFO, K, LDA, LDC, LWORK, M, N
// ..
// .. Array Arguments ..
// DOUBLE PRECISION A( LDA, * ), C( LDC, * ), TAU( * ), WORK( * )
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DORMQR overwrites the general real M-by-N matrix C with
//>
//> SIDE = 'L' SIDE = 'R'
//> TRANS = 'N': Q * C C * Q
//> TRANS = 'T': Q**T * C C * Q**T
//>
//> where Q is a real orthogonal matrix defined as the product of k
//> elementary reflectors
//>
//> Q = H(1) H(2) . . . H(k)
//>
//> as returned by DGEQRF. Q is of order M if SIDE = 'L' and of order N
//> if SIDE = 'R'.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] SIDE
//> \verbatim
//> SIDE is CHARACTER*1
//> = 'L': apply Q or Q**T from the Left;
//> = 'R': apply Q or Q**T from the Right.
//> \endverbatim
//>
//> \param[in] TRANS
//> \verbatim
//> TRANS is CHARACTER*1
//> = 'N': No transpose, apply Q;
//> = 'T': Transpose, apply Q**T.
//> \endverbatim
//>
//> \param[in] M
//> \verbatim
//> M is INTEGER
//> The number of rows of the matrix C. M >= 0.
//> \endverbatim
//>
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> The number of columns of the matrix C. N >= 0.
//> \endverbatim
//>
//> \param[in] K
//> \verbatim
//> K is INTEGER
//> The number of elementary reflectors whose product defines
//> the matrix Q.
//> If SIDE = 'L', M >= K >= 0;
//> if SIDE = 'R', N >= K >= 0.
//> \endverbatim
//>
//> \param[in] A
//> \verbatim
//> A is DOUBLE PRECISION array, dimension (LDA,K)
//> The i-th column must contain the vector which defines the
//> elementary reflector H(i), for i = 1,2,...,k, as returned by
//> DGEQRF in the first k columns of its array argument A.
//> \endverbatim
//>
//> \param[in] LDA
//> \verbatim
//> LDA is INTEGER
//> The leading dimension of the array A.
//> If SIDE = 'L', LDA >= max(1,M);
//> if SIDE = 'R', LDA >= max(1,N).
//> \endverbatim
//>
//> \param[in] TAU
//> \verbatim
//> TAU is DOUBLE PRECISION array, dimension (K)
//> TAU(i) must contain the scalar factor of the elementary
//> reflector H(i), as returned by DGEQRF.
//> \endverbatim
//>
//> \param[in,out] C
//> \verbatim
//> C is DOUBLE PRECISION array, dimension (LDC,N)
//> On entry, the M-by-N matrix C.
//> On exit, C is overwritten by Q*C or Q**T*C or C*Q**T or C*Q.
//> \endverbatim
//>
//> \param[in] LDC
//> \verbatim
//> LDC is INTEGER
//> The leading dimension of the array C. LDC >= max(1,M).
//> \endverbatim
//>
//> \param[out] WORK
//> \verbatim
//> WORK is DOUBLE PRECISION array, dimension (MAX(1,LWORK))
//> On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
//> \endverbatim
//>
//> \param[in] LWORK
//> \verbatim
//> LWORK is INTEGER
//> The dimension of the array WORK.
//> If SIDE = 'L', LWORK >= max(1,N);
//> if SIDE = 'R', LWORK >= max(1,M).
//> For good performance, LWORK should generally be larger.
//>
//> If LWORK = -1, then a workspace query is assumed; the routine
//> only calculates the optimal size of the WORK array, returns
//> this value as the first entry of the WORK array, and no error
//> message related to LWORK is issued by XERBLA.
//> \endverbatim
//>
//> \param[out] INFO
//> \verbatim
//> INFO is INTEGER
//> = 0: successful exit
//> < 0: if INFO = -i, the i-th argument had an illegal value
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date December 2016
//
//> \ingroup doubleOTHERcomputational
//
// =====================================================================
/* Subroutine */ int dormqr_(char *side, char *trans, int *m, int *n, int *k,
double *a, int *lda, double *tau, double *c__, int *ldc, double *work,
int *lwork, int *info)
{
// Table of constant values
int c__1 = 1;
int c_n1 = -1;
int c__2 = 2;
int c__65 = 65;
// System generated locals
address a__1[2];
int a_dim1, a_offset, c_dim1, c_offset, i__1, i__2, i__3[2], i__4, i__5;
char ch__1[2+1]={'\0'};
// Local variables
int i__, i1, i2, i3, ib, ic, jc, nb, mi, ni, nq, nw, iwt;
int left;
extern int lsame_(char *, char *);
int nbmin, iinfo;
extern /* Subroutine */ int dorm2r_(char *, char *, int *, int *, int *,
double *, int *, double *, double *, int *, double *, int *),
dlarfb_(char *, char *, char *, char *, int *, int *, int *,
double *, int *, double *, int *, double *, int *, double *, int *
), dlarft_(char *, char *, int *, int *, double *, int *, double *
, double *, int *), xerbla_(char *, int *);
extern int ilaenv_(int *, char *, char *, int *, int *, int *, int *);
int notran;
int ldwork, lwkopt;
int lquery;
//
// -- LAPACK computational routine (version 3.7.0) --
// -- LAPACK is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// December 2016
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. Parameters ..
// ..
// .. Local Scalars ..
// ..
// .. External Functions ..
// ..
// .. External Subroutines ..
// ..
// .. Intrinsic Functions ..
// ..
// .. Executable Statements ..
//
// Test the input arguments
//
// Parameter adjustments
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
--tau;
c_dim1 = *ldc;
c_offset = 1 + c_dim1;
c__ -= c_offset;
--work;
// Function Body
*info = 0;
left = lsame_(side, "L");
notran = lsame_(trans, "N");
lquery = *lwork == -1;
//
// NQ is the order of Q and NW is the minimum dimension of WORK
//
if (left) {
nq = *m;
nw = *n;
} else {
nq = *n;
nw = *m;
}
if (! left && ! lsame_(side, "R")) {
*info = -1;
} else if (! notran && ! lsame_(trans, "T")) {
*info = -2;
} else if (*m < 0) {
*info = -3;
} else if (*n < 0) {
*info = -4;
} else if (*k < 0 || *k > nq) {
*info = -5;
} else if (*lda < max(1,nq)) {
*info = -7;
} else if (*ldc < max(1,*m)) {
*info = -10;
} else if (*lwork < max(1,nw) && ! lquery) {
*info = -12;
}
if (*info == 0) {
//
// Compute the workspace requirements
//
// Computing MIN
// Writing concatenation
i__3[0] = 1, a__1[0] = side;
i__3[1] = 1, a__1[1] = trans;
s_cat(ch__1, a__1, i__3, &c__2);
i__1 = 64, i__2 = ilaenv_(&c__1, "DORMQR", ch__1, m, n, k, &c_n1);
nb = min(i__1,i__2);
lwkopt = max(1,nw) * nb + 4160;
work[1] = (double) lwkopt;
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("DORMQR", &i__1);
return 0;
} else if (lquery) {
return 0;
}
//
// Quick return if possible
//
if (*m == 0 || *n == 0 || *k == 0) {
work[1] = 1.;
return 0;
}
nbmin = 2;
ldwork = nw;
if (nb > 1 && nb < *k) {
if (*lwork < nw * nb + 4160) {
nb = (*lwork - 4160) / ldwork;
// Computing MAX
// Writing concatenation
i__3[0] = 1, a__1[0] = side;
i__3[1] = 1, a__1[1] = trans;
s_cat(ch__1, a__1, i__3, &c__2);
i__1 = 2, i__2 = ilaenv_(&c__2, "DORMQR", ch__1, m, n, k, &c_n1);
nbmin = max(i__1,i__2);
}
}
if (nb < nbmin || nb >= *k) {
//
// Use unblocked code
//
dorm2r_(side, trans, m, n, k, &a[a_offset], lda, &tau[1], &c__[
c_offset], ldc, &work[1], &iinfo);
} else {
//
// Use blocked code
//
iwt = nw * nb + 1;
if (left && ! notran || ! left && notran) {
i1 = 1;
i2 = *k;
i3 = nb;
} else {
i1 = (*k - 1) / nb * nb + 1;
i2 = 1;
i3 = -nb;
}
if (left) {
ni = *n;
jc = 1;
} else {
mi = *m;
ic = 1;
}
i__1 = i2;
i__2 = i3;
for (i__ = i1; i__2 < 0 ? i__ >= i__1 : i__ <= i__1; i__ += i__2) {
// Computing MIN
i__4 = nb, i__5 = *k - i__ + 1;
ib = min(i__4,i__5);
//
// Form the triangular factor of the block reflector
// H = H(i) H(i+1) . . . H(i+ib-1)
//
i__4 = nq - i__ + 1;
dlarft_("Forward", "Columnwise", &i__4, &ib, &a[i__ + i__ *
a_dim1], lda, &tau[i__], &work[iwt], &c__65);
if (left) {
//
// H or H**T is applied to C(i:m,1:n)
//
mi = *m - i__ + 1;
ic = i__;
} else {
//
// H or H**T is applied to C(1:m,i:n)
//
ni = *n - i__ + 1;
jc = i__;
}
//
// Apply H or H**T
//
dlarfb_(side, trans, "Forward", "Columnwise", &mi, &ni, &ib, &a[
i__ + i__ * a_dim1], lda, &work[iwt], &c__65, &c__[ic +
jc * c_dim1], ldc, &work[1], &ldwork);
// L10:
}
}
work[1] = (double) lwkopt;
return 0;
//
// End of DORMQR
//
} // dormqr_
-164
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@@ -1,164 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b DROT
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
// Definition:
// ===========
//
// SUBROUTINE DROT(N,DX,INCX,DY,INCY,C,S)
//
// .. Scalar Arguments ..
// DOUBLE PRECISION C,S
// INTEGER INCX,INCY,N
// ..
// .. Array Arguments ..
// DOUBLE PRECISION DX(*),DY(*)
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DROT applies a plane rotation.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> number of elements in input vector(s)
//> \endverbatim
//>
//> \param[in,out] DX
//> \verbatim
//> DX is DOUBLE PRECISION array, dimension ( 1 + ( N - 1 )*abs( INCX ) )
//> \endverbatim
//>
//> \param[in] INCX
//> \verbatim
//> INCX is INTEGER
//> storage spacing between elements of DX
//> \endverbatim
//>
//> \param[in,out] DY
//> \verbatim
//> DY is DOUBLE PRECISION array, dimension ( 1 + ( N - 1 )*abs( INCY ) )
//> \endverbatim
//>
//> \param[in] INCY
//> \verbatim
//> INCY is INTEGER
//> storage spacing between elements of DY
//> \endverbatim
//>
//> \param[in] C
//> \verbatim
//> C is DOUBLE PRECISION
//> \endverbatim
//>
//> \param[in] S
//> \verbatim
//> S is DOUBLE PRECISION
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date November 2017
//
//> \ingroup double_blas_level1
//
//> \par Further Details:
// =====================
//>
//> \verbatim
//>
//> jack dongarra, linpack, 3/11/78.
//> modified 12/3/93, array(1) declarations changed to array(*)
//> \endverbatim
//>
// =====================================================================
/* Subroutine */ int drot_(int *n, double *dx, int *incx, double *dy, int *
incy, double *c__, double *s)
{
// System generated locals
int i__1;
// Local variables
int i__, ix, iy;
double dtemp;
//
// -- Reference BLAS level1 routine (version 3.8.0) --
// -- Reference BLAS is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// November 2017
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. Local Scalars ..
// ..
// Parameter adjustments
--dy;
--dx;
// Function Body
if (*n <= 0) {
return 0;
}
if (*incx == 1 && *incy == 1) {
//
// code for both increments equal to 1
//
i__1 = *n;
for (i__ = 1; i__ <= i__1; ++i__) {
dtemp = *c__ * dx[i__] + *s * dy[i__];
dy[i__] = *c__ * dy[i__] - *s * dx[i__];
dx[i__] = dtemp;
}
} else {
//
// code for unequal increments or equal increments not equal
// to 1
//
ix = 1;
iy = 1;
if (*incx < 0) {
ix = (-(*n) + 1) * *incx + 1;
}
if (*incy < 0) {
iy = (-(*n) + 1) * *incy + 1;
}
i__1 = *n;
for (i__ = 1; i__ <= i__1; ++i__) {
dtemp = *c__ * dx[ix] + *s * dy[iy];
dy[iy] = *c__ * dy[iy] - *s * dx[ix];
dx[ix] = dtemp;
ix += *incx;
iy += *incy;
}
}
return 0;
} // drot_
-155
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@@ -1,155 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b DSCAL
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
// Definition:
// ===========
//
// SUBROUTINE DSCAL(N,DA,DX,INCX)
//
// .. Scalar Arguments ..
// DOUBLE PRECISION DA
// INTEGER INCX,N
// ..
// .. Array Arguments ..
// DOUBLE PRECISION DX(*)
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DSCAL scales a vector by a constant.
//> uses unrolled loops for increment equal to 1.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> number of elements in input vector(s)
//> \endverbatim
//>
//> \param[in] DA
//> \verbatim
//> DA is DOUBLE PRECISION
//> On entry, DA specifies the scalar alpha.
//> \endverbatim
//>
//> \param[in,out] DX
//> \verbatim
//> DX is DOUBLE PRECISION array, dimension ( 1 + ( N - 1 )*abs( INCX ) )
//> \endverbatim
//>
//> \param[in] INCX
//> \verbatim
//> INCX is INTEGER
//> storage spacing between elements of DX
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date November 2017
//
//> \ingroup double_blas_level1
//
//> \par Further Details:
// =====================
//>
//> \verbatim
//>
//> jack dongarra, linpack, 3/11/78.
//> modified 3/93 to return if incx .le. 0.
//> modified 12/3/93, array(1) declarations changed to array(*)
//> \endverbatim
//>
// =====================================================================
/* Subroutine */ int dscal_(int *n, double *da, double *dx, int *incx)
{
// System generated locals
int i__1, i__2;
// Local variables
int i__, m, mp1, nincx;
//
// -- Reference BLAS level1 routine (version 3.8.0) --
// -- Reference BLAS is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// November 2017
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. Local Scalars ..
// ..
// .. Intrinsic Functions ..
// ..
// Parameter adjustments
--dx;
// Function Body
if (*n <= 0 || *incx <= 0) {
return 0;
}
if (*incx == 1) {
//
// code for increment equal to 1
//
//
// clean-up loop
//
m = *n % 5;
if (m != 0) {
i__1 = m;
for (i__ = 1; i__ <= i__1; ++i__) {
dx[i__] = *da * dx[i__];
}
if (*n < 5) {
return 0;
}
}
mp1 = m + 1;
i__1 = *n;
for (i__ = mp1; i__ <= i__1; i__ += 5) {
dx[i__] = *da * dx[i__];
dx[i__ + 1] = *da * dx[i__ + 1];
dx[i__ + 2] = *da * dx[i__ + 2];
dx[i__ + 3] = *da * dx[i__ + 3];
dx[i__ + 4] = *da * dx[i__ + 4];
}
} else {
//
// code for increment not equal to 1
//
nincx = *n * *incx;
i__1 = nincx;
i__2 = *incx;
for (i__ = 1; i__2 < 0 ? i__ >= i__1 : i__ <= i__1; i__ += i__2) {
dx[i__] = *da * dx[i__];
}
}
return 0;
} // dscal_
-178
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@@ -1,178 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b DSWAP
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
// Definition:
// ===========
//
// SUBROUTINE DSWAP(N,DX,INCX,DY,INCY)
//
// .. Scalar Arguments ..
// INTEGER INCX,INCY,N
// ..
// .. Array Arguments ..
// DOUBLE PRECISION DX(*),DY(*)
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DSWAP interchanges two vectors.
//> uses unrolled loops for increments equal to 1.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> number of elements in input vector(s)
//> \endverbatim
//>
//> \param[in,out] DX
//> \verbatim
//> DX is DOUBLE PRECISION array, dimension ( 1 + ( N - 1 )*abs( INCX ) )
//> \endverbatim
//>
//> \param[in] INCX
//> \verbatim
//> INCX is INTEGER
//> storage spacing between elements of DX
//> \endverbatim
//>
//> \param[in,out] DY
//> \verbatim
//> DY is DOUBLE PRECISION array, dimension ( 1 + ( N - 1 )*abs( INCY ) )
//> \endverbatim
//>
//> \param[in] INCY
//> \verbatim
//> INCY is INTEGER
//> storage spacing between elements of DY
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date November 2017
//
//> \ingroup double_blas_level1
//
//> \par Further Details:
// =====================
//>
//> \verbatim
//>
//> jack dongarra, linpack, 3/11/78.
//> modified 12/3/93, array(1) declarations changed to array(*)
//> \endverbatim
//>
// =====================================================================
/* Subroutine */ int dswap_(int *n, double *dx, int *incx, double *dy, int *
incy)
{
// System generated locals
int i__1;
// Local variables
int i__, m, ix, iy, mp1;
double dtemp;
//
// -- Reference BLAS level1 routine (version 3.8.0) --
// -- Reference BLAS is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// November 2017
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. Local Scalars ..
// ..
// .. Intrinsic Functions ..
// ..
// Parameter adjustments
--dy;
--dx;
// Function Body
if (*n <= 0) {
return 0;
}
if (*incx == 1 && *incy == 1) {
//
// code for both increments equal to 1
//
//
// clean-up loop
//
m = *n % 3;
if (m != 0) {
i__1 = m;
for (i__ = 1; i__ <= i__1; ++i__) {
dtemp = dx[i__];
dx[i__] = dy[i__];
dy[i__] = dtemp;
}
if (*n < 3) {
return 0;
}
}
mp1 = m + 1;
i__1 = *n;
for (i__ = mp1; i__ <= i__1; i__ += 3) {
dtemp = dx[i__];
dx[i__] = dy[i__];
dy[i__] = dtemp;
dtemp = dx[i__ + 1];
dx[i__ + 1] = dy[i__ + 1];
dy[i__ + 1] = dtemp;
dtemp = dx[i__ + 2];
dx[i__ + 2] = dy[i__ + 2];
dy[i__ + 2] = dtemp;
}
} else {
//
// code for unequal increments or equal increments not equal
// to 1
//
ix = 1;
iy = 1;
if (*incx < 0) {
ix = (-(*n) + 1) * *incx + 1;
}
if (*incy < 0) {
iy = (-(*n) + 1) * *incy + 1;
}
i__1 = *n;
for (i__ = 1; i__ <= i__1; ++i__) {
dtemp = dx[ix];
dx[ix] = dy[iy];
dy[iy] = dtemp;
ix += *incx;
iy += *incy;
}
}
return 0;
} // dswap_
-509
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@@ -1,509 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b DTRMM
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
// Definition:
// ===========
//
// SUBROUTINE DTRMM(SIDE,UPLO,TRANSA,DIAG,M,N,ALPHA,A,LDA,B,LDB)
//
// .. Scalar Arguments ..
// DOUBLE PRECISION ALPHA
// INTEGER LDA,LDB,M,N
// CHARACTER DIAG,SIDE,TRANSA,UPLO
// ..
// .. Array Arguments ..
// DOUBLE PRECISION A(LDA,*),B(LDB,*)
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DTRMM performs one of the matrix-matrix operations
//>
//> B := alpha*op( A )*B, or B := alpha*B*op( A ),
//>
//> where alpha is a scalar, B is an m by n matrix, A is a unit, or
//> non-unit, upper or lower triangular matrix and op( A ) is one of
//>
//> op( A ) = A or op( A ) = A**T.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] SIDE
//> \verbatim
//> SIDE is CHARACTER*1
//> On entry, SIDE specifies whether op( A ) multiplies B from
//> the left or right as follows:
//>
//> SIDE = 'L' or 'l' B := alpha*op( A )*B.
//>
//> SIDE = 'R' or 'r' B := alpha*B*op( A ).
//> \endverbatim
//>
//> \param[in] UPLO
//> \verbatim
//> UPLO is CHARACTER*1
//> On entry, UPLO specifies whether the matrix A is an upper or
//> lower triangular matrix as follows:
//>
//> UPLO = 'U' or 'u' A is an upper triangular matrix.
//>
//> UPLO = 'L' or 'l' A is a lower triangular matrix.
//> \endverbatim
//>
//> \param[in] TRANSA
//> \verbatim
//> TRANSA is CHARACTER*1
//> On entry, TRANSA specifies the form of op( A ) to be used in
//> the matrix multiplication as follows:
//>
//> TRANSA = 'N' or 'n' op( A ) = A.
//>
//> TRANSA = 'T' or 't' op( A ) = A**T.
//>
//> TRANSA = 'C' or 'c' op( A ) = A**T.
//> \endverbatim
//>
//> \param[in] DIAG
//> \verbatim
//> DIAG is CHARACTER*1
//> On entry, DIAG specifies whether or not A is unit triangular
//> as follows:
//>
//> DIAG = 'U' or 'u' A is assumed to be unit triangular.
//>
//> DIAG = 'N' or 'n' A is not assumed to be unit
//> triangular.
//> \endverbatim
//>
//> \param[in] M
//> \verbatim
//> M is INTEGER
//> On entry, M specifies the number of rows of B. M must be at
//> least zero.
//> \endverbatim
//>
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> On entry, N specifies the number of columns of B. N must be
//> at least zero.
//> \endverbatim
//>
//> \param[in] ALPHA
//> \verbatim
//> ALPHA is DOUBLE PRECISION.
//> On entry, ALPHA specifies the scalar alpha. When alpha is
//> zero then A is not referenced and B need not be set before
//> entry.
//> \endverbatim
//>
//> \param[in] A
//> \verbatim
//> A is DOUBLE PRECISION array, dimension ( LDA, k ), where k is m
//> when SIDE = 'L' or 'l' and is n when SIDE = 'R' or 'r'.
//> Before entry with UPLO = 'U' or 'u', the leading k by k
//> upper triangular part of the array A must contain the upper
//> triangular matrix and the strictly lower triangular part of
//> A is not referenced.
//> Before entry with UPLO = 'L' or 'l', the leading k by k
//> lower triangular part of the array A must contain the lower
//> triangular matrix and the strictly upper triangular part of
//> A is not referenced.
//> Note that when DIAG = 'U' or 'u', the diagonal elements of
//> A are not referenced either, but are assumed to be unity.
//> \endverbatim
//>
//> \param[in] LDA
//> \verbatim
//> LDA is INTEGER
//> On entry, LDA specifies the first dimension of A as declared
//> in the calling (sub) program. When SIDE = 'L' or 'l' then
//> LDA must be at least max( 1, m ), when SIDE = 'R' or 'r'
//> then LDA must be at least max( 1, n ).
//> \endverbatim
//>
//> \param[in,out] B
//> \verbatim
//> B is DOUBLE PRECISION array, dimension ( LDB, N )
//> Before entry, the leading m by n part of the array B must
//> contain the matrix B, and on exit is overwritten by the
//> transformed matrix.
//> \endverbatim
//>
//> \param[in] LDB
//> \verbatim
//> LDB is INTEGER
//> On entry, LDB specifies the first dimension of B as declared
//> in the calling (sub) program. LDB must be at least
//> max( 1, m ).
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date December 2016
//
//> \ingroup double_blas_level3
//
//> \par Further Details:
// =====================
//>
//> \verbatim
//>
//> Level 3 Blas routine.
//>
//> -- Written on 8-February-1989.
//> Jack Dongarra, Argonne National Laboratory.
//> Iain Duff, AERE Harwell.
//> Jeremy Du Croz, Numerical Algorithms Group Ltd.
//> Sven Hammarling, Numerical Algorithms Group Ltd.
//> \endverbatim
//>
// =====================================================================
/* Subroutine */ int dtrmm_(char *side, char *uplo, char *transa, char *diag,
int *m, int *n, double *alpha, double *a, int *lda, double *b, int *
ldb)
{
// System generated locals
int a_dim1, a_offset, b_dim1, b_offset, i__1, i__2, i__3;
// Local variables
int i__, j, k, info;
double temp;
int lside;
extern int lsame_(char *, char *);
int nrowa;
int upper;
extern /* Subroutine */ int xerbla_(char *, int *);
int nounit;
//
// -- Reference BLAS level3 routine (version 3.7.0) --
// -- Reference BLAS is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// December 2016
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. External Functions ..
// ..
// .. External Subroutines ..
// ..
// .. Intrinsic Functions ..
// ..
// .. Local Scalars ..
// ..
// .. Parameters ..
// ..
//
// Test the input parameters.
//
// Parameter adjustments
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
b_dim1 = *ldb;
b_offset = 1 + b_dim1;
b -= b_offset;
// Function Body
lside = lsame_(side, "L");
if (lside) {
nrowa = *m;
} else {
nrowa = *n;
}
nounit = lsame_(diag, "N");
upper = lsame_(uplo, "U");
info = 0;
if (! lside && ! lsame_(side, "R")) {
info = 1;
} else if (! upper && ! lsame_(uplo, "L")) {
info = 2;
} else if (! lsame_(transa, "N") && ! lsame_(transa, "T") && ! lsame_(
transa, "C")) {
info = 3;
} else if (! lsame_(diag, "U") && ! lsame_(diag, "N")) {
info = 4;
} else if (*m < 0) {
info = 5;
} else if (*n < 0) {
info = 6;
} else if (*lda < max(1,nrowa)) {
info = 9;
} else if (*ldb < max(1,*m)) {
info = 11;
}
if (info != 0) {
xerbla_("DTRMM ", &info);
return 0;
}
//
// Quick return if possible.
//
if (*m == 0 || *n == 0) {
return 0;
}
//
// And when alpha.eq.zero.
//
if (*alpha == 0.) {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
b[i__ + j * b_dim1] = 0.;
// L10:
}
// L20:
}
return 0;
}
//
// Start the operations.
//
if (lside) {
if (lsame_(transa, "N")) {
//
// Form B := alpha*A*B.
//
if (upper) {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (k = 1; k <= i__2; ++k) {
if (b[k + j * b_dim1] != 0.) {
temp = *alpha * b[k + j * b_dim1];
i__3 = k - 1;
for (i__ = 1; i__ <= i__3; ++i__) {
b[i__ + j * b_dim1] += temp * a[i__ + k *
a_dim1];
// L30:
}
if (nounit) {
temp *= a[k + k * a_dim1];
}
b[k + j * b_dim1] = temp;
}
// L40:
}
// L50:
}
} else {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
for (k = *m; k >= 1; --k) {
if (b[k + j * b_dim1] != 0.) {
temp = *alpha * b[k + j * b_dim1];
b[k + j * b_dim1] = temp;
if (nounit) {
b[k + j * b_dim1] *= a[k + k * a_dim1];
}
i__2 = *m;
for (i__ = k + 1; i__ <= i__2; ++i__) {
b[i__ + j * b_dim1] += temp * a[i__ + k *
a_dim1];
// L60:
}
}
// L70:
}
// L80:
}
}
} else {
//
// Form B := alpha*A**T*B.
//
if (upper) {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
for (i__ = *m; i__ >= 1; --i__) {
temp = b[i__ + j * b_dim1];
if (nounit) {
temp *= a[i__ + i__ * a_dim1];
}
i__2 = i__ - 1;
for (k = 1; k <= i__2; ++k) {
temp += a[k + i__ * a_dim1] * b[k + j * b_dim1];
// L90:
}
b[i__ + j * b_dim1] = *alpha * temp;
// L100:
}
// L110:
}
} else {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
temp = b[i__ + j * b_dim1];
if (nounit) {
temp *= a[i__ + i__ * a_dim1];
}
i__3 = *m;
for (k = i__ + 1; k <= i__3; ++k) {
temp += a[k + i__ * a_dim1] * b[k + j * b_dim1];
// L120:
}
b[i__ + j * b_dim1] = *alpha * temp;
// L130:
}
// L140:
}
}
}
} else {
if (lsame_(transa, "N")) {
//
// Form B := alpha*B*A.
//
if (upper) {
for (j = *n; j >= 1; --j) {
temp = *alpha;
if (nounit) {
temp *= a[j + j * a_dim1];
}
i__1 = *m;
for (i__ = 1; i__ <= i__1; ++i__) {
b[i__ + j * b_dim1] = temp * b[i__ + j * b_dim1];
// L150:
}
i__1 = j - 1;
for (k = 1; k <= i__1; ++k) {
if (a[k + j * a_dim1] != 0.) {
temp = *alpha * a[k + j * a_dim1];
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
b[i__ + j * b_dim1] += temp * b[i__ + k *
b_dim1];
// L160:
}
}
// L170:
}
// L180:
}
} else {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
temp = *alpha;
if (nounit) {
temp *= a[j + j * a_dim1];
}
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
b[i__ + j * b_dim1] = temp * b[i__ + j * b_dim1];
// L190:
}
i__2 = *n;
for (k = j + 1; k <= i__2; ++k) {
if (a[k + j * a_dim1] != 0.) {
temp = *alpha * a[k + j * a_dim1];
i__3 = *m;
for (i__ = 1; i__ <= i__3; ++i__) {
b[i__ + j * b_dim1] += temp * b[i__ + k *
b_dim1];
// L200:
}
}
// L210:
}
// L220:
}
}
} else {
//
// Form B := alpha*B*A**T.
//
if (upper) {
i__1 = *n;
for (k = 1; k <= i__1; ++k) {
i__2 = k - 1;
for (j = 1; j <= i__2; ++j) {
if (a[j + k * a_dim1] != 0.) {
temp = *alpha * a[j + k * a_dim1];
i__3 = *m;
for (i__ = 1; i__ <= i__3; ++i__) {
b[i__ + j * b_dim1] += temp * b[i__ + k *
b_dim1];
// L230:
}
}
// L240:
}
temp = *alpha;
if (nounit) {
temp *= a[k + k * a_dim1];
}
if (temp != 1.) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
b[i__ + k * b_dim1] = temp * b[i__ + k * b_dim1];
// L250:
}
}
// L260:
}
} else {
for (k = *n; k >= 1; --k) {
i__1 = *n;
for (j = k + 1; j <= i__1; ++j) {
if (a[j + k * a_dim1] != 0.) {
temp = *alpha * a[j + k * a_dim1];
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
b[i__ + j * b_dim1] += temp * b[i__ + k *
b_dim1];
// L270:
}
}
// L280:
}
temp = *alpha;
if (nounit) {
temp *= a[k + k * a_dim1];
}
if (temp != 1.) {
i__1 = *m;
for (i__ = 1; i__ <= i__1; ++i__) {
b[i__ + k * b_dim1] = temp * b[i__ + k * b_dim1];
// L290:
}
}
// L300:
}
}
}
}
return 0;
//
// End of DTRMM .
//
} // dtrmm_
-396
View File
@@ -1,396 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b DTRMV
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
// Definition:
// ===========
//
// SUBROUTINE DTRMV(UPLO,TRANS,DIAG,N,A,LDA,X,INCX)
//
// .. Scalar Arguments ..
// INTEGER INCX,LDA,N
// CHARACTER DIAG,TRANS,UPLO
// ..
// .. Array Arguments ..
// DOUBLE PRECISION A(LDA,*),X(*)
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> DTRMV performs one of the matrix-vector operations
//>
//> x := A*x, or x := A**T*x,
//>
//> where x is an n element vector and A is an n by n unit, or non-unit,
//> upper or lower triangular matrix.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] UPLO
//> \verbatim
//> UPLO is CHARACTER*1
//> On entry, UPLO specifies whether the matrix is an upper or
//> lower triangular matrix as follows:
//>
//> UPLO = 'U' or 'u' A is an upper triangular matrix.
//>
//> UPLO = 'L' or 'l' A is a lower triangular matrix.
//> \endverbatim
//>
//> \param[in] TRANS
//> \verbatim
//> TRANS is CHARACTER*1
//> On entry, TRANS specifies the operation to be performed as
//> follows:
//>
//> TRANS = 'N' or 'n' x := A*x.
//>
//> TRANS = 'T' or 't' x := A**T*x.
//>
//> TRANS = 'C' or 'c' x := A**T*x.
//> \endverbatim
//>
//> \param[in] DIAG
//> \verbatim
//> DIAG is CHARACTER*1
//> On entry, DIAG specifies whether or not A is unit
//> triangular as follows:
//>
//> DIAG = 'U' or 'u' A is assumed to be unit triangular.
//>
//> DIAG = 'N' or 'n' A is not assumed to be unit
//> triangular.
//> \endverbatim
//>
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> On entry, N specifies the order of the matrix A.
//> N must be at least zero.
//> \endverbatim
//>
//> \param[in] A
//> \verbatim
//> A is DOUBLE PRECISION array, dimension ( LDA, N )
//> Before entry with UPLO = 'U' or 'u', the leading n by n
//> upper triangular part of the array A must contain the upper
//> triangular matrix and the strictly lower triangular part of
//> A is not referenced.
//> Before entry with UPLO = 'L' or 'l', the leading n by n
//> lower triangular part of the array A must contain the lower
//> triangular matrix and the strictly upper triangular part of
//> A is not referenced.
//> Note that when DIAG = 'U' or 'u', the diagonal elements of
//> A are not referenced either, but are assumed to be unity.
//> \endverbatim
//>
//> \param[in] LDA
//> \verbatim
//> LDA is INTEGER
//> On entry, LDA specifies the first dimension of A as declared
//> in the calling (sub) program. LDA must be at least
//> max( 1, n ).
//> \endverbatim
//>
//> \param[in,out] X
//> \verbatim
//> X is DOUBLE PRECISION array, dimension at least
//> ( 1 + ( n - 1 )*abs( INCX ) ).
//> Before entry, the incremented array X must contain the n
//> element vector x. On exit, X is overwritten with the
//> transformed vector x.
//> \endverbatim
//>
//> \param[in] INCX
//> \verbatim
//> INCX is INTEGER
//> On entry, INCX specifies the increment for the elements of
//> X. INCX must not be zero.
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date December 2016
//
//> \ingroup double_blas_level2
//
//> \par Further Details:
// =====================
//>
//> \verbatim
//>
//> Level 2 Blas routine.
//> The vector and matrix arguments are not referenced when N = 0, or M = 0
//>
//> -- Written on 22-October-1986.
//> Jack Dongarra, Argonne National Lab.
//> Jeremy Du Croz, Nag Central Office.
//> Sven Hammarling, Nag Central Office.
//> Richard Hanson, Sandia National Labs.
//> \endverbatim
//>
// =====================================================================
/* Subroutine */ int dtrmv_(char *uplo, char *trans, char *diag, int *n,
double *a, int *lda, double *x, int *incx)
{
// System generated locals
int a_dim1, a_offset, i__1, i__2;
// Local variables
int i__, j, ix, jx, kx, info;
double temp;
extern int lsame_(char *, char *);
extern /* Subroutine */ int xerbla_(char *, int *);
int nounit;
//
// -- Reference BLAS level2 routine (version 3.7.0) --
// -- Reference BLAS is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// December 2016
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. Parameters ..
// ..
// .. Local Scalars ..
// ..
// .. External Functions ..
// ..
// .. External Subroutines ..
// ..
// .. Intrinsic Functions ..
// ..
//
// Test the input parameters.
//
// Parameter adjustments
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
--x;
// Function Body
info = 0;
if (! lsame_(uplo, "U") && ! lsame_(uplo, "L")) {
info = 1;
} else if (! lsame_(trans, "N") && ! lsame_(trans, "T") && ! lsame_(trans,
"C")) {
info = 2;
} else if (! lsame_(diag, "U") && ! lsame_(diag, "N")) {
info = 3;
} else if (*n < 0) {
info = 4;
} else if (*lda < max(1,*n)) {
info = 6;
} else if (*incx == 0) {
info = 8;
}
if (info != 0) {
xerbla_("DTRMV ", &info);
return 0;
}
//
// Quick return if possible.
//
if (*n == 0) {
return 0;
}
nounit = lsame_(diag, "N");
//
// Set up the start point in X if the increment is not unity. This
// will be ( N - 1 )*INCX too small for descending loops.
//
if (*incx <= 0) {
kx = 1 - (*n - 1) * *incx;
} else if (*incx != 1) {
kx = 1;
}
//
// Start the operations. In this version the elements of A are
// accessed sequentially with one pass through A.
//
if (lsame_(trans, "N")) {
//
// Form x := A*x.
//
if (lsame_(uplo, "U")) {
if (*incx == 1) {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
if (x[j] != 0.) {
temp = x[j];
i__2 = j - 1;
for (i__ = 1; i__ <= i__2; ++i__) {
x[i__] += temp * a[i__ + j * a_dim1];
// L10:
}
if (nounit) {
x[j] *= a[j + j * a_dim1];
}
}
// L20:
}
} else {
jx = kx;
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
if (x[jx] != 0.) {
temp = x[jx];
ix = kx;
i__2 = j - 1;
for (i__ = 1; i__ <= i__2; ++i__) {
x[ix] += temp * a[i__ + j * a_dim1];
ix += *incx;
// L30:
}
if (nounit) {
x[jx] *= a[j + j * a_dim1];
}
}
jx += *incx;
// L40:
}
}
} else {
if (*incx == 1) {
for (j = *n; j >= 1; --j) {
if (x[j] != 0.) {
temp = x[j];
i__1 = j + 1;
for (i__ = *n; i__ >= i__1; --i__) {
x[i__] += temp * a[i__ + j * a_dim1];
// L50:
}
if (nounit) {
x[j] *= a[j + j * a_dim1];
}
}
// L60:
}
} else {
kx += (*n - 1) * *incx;
jx = kx;
for (j = *n; j >= 1; --j) {
if (x[jx] != 0.) {
temp = x[jx];
ix = kx;
i__1 = j + 1;
for (i__ = *n; i__ >= i__1; --i__) {
x[ix] += temp * a[i__ + j * a_dim1];
ix -= *incx;
// L70:
}
if (nounit) {
x[jx] *= a[j + j * a_dim1];
}
}
jx -= *incx;
// L80:
}
}
}
} else {
//
// Form x := A**T*x.
//
if (lsame_(uplo, "U")) {
if (*incx == 1) {
for (j = *n; j >= 1; --j) {
temp = x[j];
if (nounit) {
temp *= a[j + j * a_dim1];
}
for (i__ = j - 1; i__ >= 1; --i__) {
temp += a[i__ + j * a_dim1] * x[i__];
// L90:
}
x[j] = temp;
// L100:
}
} else {
jx = kx + (*n - 1) * *incx;
for (j = *n; j >= 1; --j) {
temp = x[jx];
ix = jx;
if (nounit) {
temp *= a[j + j * a_dim1];
}
for (i__ = j - 1; i__ >= 1; --i__) {
ix -= *incx;
temp += a[i__ + j * a_dim1] * x[ix];
// L110:
}
x[jx] = temp;
jx -= *incx;
// L120:
}
}
} else {
if (*incx == 1) {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
temp = x[j];
if (nounit) {
temp *= a[j + j * a_dim1];
}
i__2 = *n;
for (i__ = j + 1; i__ <= i__2; ++i__) {
temp += a[i__ + j * a_dim1] * x[i__];
// L130:
}
x[j] = temp;
// L140:
}
} else {
jx = kx;
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
temp = x[jx];
ix = jx;
if (nounit) {
temp *= a[j + j * a_dim1];
}
i__2 = *n;
for (i__ = j + 1; i__ <= i__2; ++i__) {
ix += *incx;
temp += a[i__ + j * a_dim1] * x[ix];
// L150:
}
x[jx] = temp;
jx += *incx;
// L160:
}
}
}
}
return 0;
//
// End of DTRMV .
//
} // dtrmv_
-1334
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-444
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@@ -1,444 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b SGEMM
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
// Definition:
// ===========
//
// SUBROUTINE SGEMM(TRANSA,TRANSB,M,N,K,ALPHA,A,LDA,B,LDB,BETA,C,LDC)
//
// .. Scalar Arguments ..
// REAL ALPHA,BETA
// INTEGER K,LDA,LDB,LDC,M,N
// CHARACTER TRANSA,TRANSB
// ..
// .. Array Arguments ..
// REAL A(LDA,*),B(LDB,*),C(LDC,*)
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> SGEMM performs one of the matrix-matrix operations
//>
//> C := alpha*op( A )*op( B ) + beta*C,
//>
//> where op( X ) is one of
//>
//> op( X ) = X or op( X ) = X**T,
//>
//> alpha and beta are scalars, and A, B and C are matrices, with op( A )
//> an m by k matrix, op( B ) a k by n matrix and C an m by n matrix.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] TRANSA
//> \verbatim
//> TRANSA is CHARACTER*1
//> On entry, TRANSA specifies the form of op( A ) to be used in
//> the matrix multiplication as follows:
//>
//> TRANSA = 'N' or 'n', op( A ) = A.
//>
//> TRANSA = 'T' or 't', op( A ) = A**T.
//>
//> TRANSA = 'C' or 'c', op( A ) = A**T.
//> \endverbatim
//>
//> \param[in] TRANSB
//> \verbatim
//> TRANSB is CHARACTER*1
//> On entry, TRANSB specifies the form of op( B ) to be used in
//> the matrix multiplication as follows:
//>
//> TRANSB = 'N' or 'n', op( B ) = B.
//>
//> TRANSB = 'T' or 't', op( B ) = B**T.
//>
//> TRANSB = 'C' or 'c', op( B ) = B**T.
//> \endverbatim
//>
//> \param[in] M
//> \verbatim
//> M is INTEGER
//> On entry, M specifies the number of rows of the matrix
//> op( A ) and of the matrix C. M must be at least zero.
//> \endverbatim
//>
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> On entry, N specifies the number of columns of the matrix
//> op( B ) and the number of columns of the matrix C. N must be
//> at least zero.
//> \endverbatim
//>
//> \param[in] K
//> \verbatim
//> K is INTEGER
//> On entry, K specifies the number of columns of the matrix
//> op( A ) and the number of rows of the matrix op( B ). K must
//> be at least zero.
//> \endverbatim
//>
//> \param[in] ALPHA
//> \verbatim
//> ALPHA is REAL
//> On entry, ALPHA specifies the scalar alpha.
//> \endverbatim
//>
//> \param[in] A
//> \verbatim
//> A is REAL array, dimension ( LDA, ka ), where ka is
//> k when TRANSA = 'N' or 'n', and is m otherwise.
//> Before entry with TRANSA = 'N' or 'n', the leading m by k
//> part of the array A must contain the matrix A, otherwise
//> the leading k by m part of the array A must contain the
//> matrix A.
//> \endverbatim
//>
//> \param[in] LDA
//> \verbatim
//> LDA is INTEGER
//> On entry, LDA specifies the first dimension of A as declared
//> in the calling (sub) program. When TRANSA = 'N' or 'n' then
//> LDA must be at least max( 1, m ), otherwise LDA must be at
//> least max( 1, k ).
//> \endverbatim
//>
//> \param[in] B
//> \verbatim
//> B is REAL array, dimension ( LDB, kb ), where kb is
//> n when TRANSB = 'N' or 'n', and is k otherwise.
//> Before entry with TRANSB = 'N' or 'n', the leading k by n
//> part of the array B must contain the matrix B, otherwise
//> the leading n by k part of the array B must contain the
//> matrix B.
//> \endverbatim
//>
//> \param[in] LDB
//> \verbatim
//> LDB is INTEGER
//> On entry, LDB specifies the first dimension of B as declared
//> in the calling (sub) program. When TRANSB = 'N' or 'n' then
//> LDB must be at least max( 1, k ), otherwise LDB must be at
//> least max( 1, n ).
//> \endverbatim
//>
//> \param[in] BETA
//> \verbatim
//> BETA is REAL
//> On entry, BETA specifies the scalar beta. When BETA is
//> supplied as zero then C need not be set on input.
//> \endverbatim
//>
//> \param[in,out] C
//> \verbatim
//> C is REAL array, dimension ( LDC, N )
//> Before entry, the leading m by n part of the array C must
//> contain the matrix C, except when beta is zero, in which
//> case C need not be set on entry.
//> On exit, the array C is overwritten by the m by n matrix
//> ( alpha*op( A )*op( B ) + beta*C ).
//> \endverbatim
//>
//> \param[in] LDC
//> \verbatim
//> LDC is INTEGER
//> On entry, LDC specifies the first dimension of C as declared
//> in the calling (sub) program. LDC must be at least
//> max( 1, m ).
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date December 2016
//
//> \ingroup single_blas_level3
//
//> \par Further Details:
// =====================
//>
//> \verbatim
//>
//> Level 3 Blas routine.
//>
//> -- Written on 8-February-1989.
//> Jack Dongarra, Argonne National Laboratory.
//> Iain Duff, AERE Harwell.
//> Jeremy Du Croz, Numerical Algorithms Group Ltd.
//> Sven Hammarling, Numerical Algorithms Group Ltd.
//> \endverbatim
//>
// =====================================================================
/* Subroutine */ int sgemm_(char *transa, char *transb, int *m, int *n, int *
k, float *alpha, float *a, int *lda, float *b, int *ldb, float *beta,
float *c__, int *ldc)
{
// System generated locals
int a_dim1, a_offset, b_dim1, b_offset, c_dim1, c_offset, i__1, i__2,
i__3;
// Local variables
int i__, j, l, info;
int nota, notb;
float temp;
int ncola;
extern int lsame_(char *, char *);
int nrowa, nrowb;
extern /* Subroutine */ int xerbla_(char *, int *);
//
// -- Reference BLAS level3 routine (version 3.7.0) --
// -- Reference BLAS is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// December 2016
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. External Functions ..
// ..
// .. External Subroutines ..
// ..
// .. Intrinsic Functions ..
// ..
// .. Local Scalars ..
// ..
// .. Parameters ..
// ..
//
// Set NOTA and NOTB as true if A and B respectively are not
// transposed and set NROWA, NCOLA and NROWB as the number of rows
// and columns of A and the number of rows of B respectively.
//
// Parameter adjustments
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
b_dim1 = *ldb;
b_offset = 1 + b_dim1;
b -= b_offset;
c_dim1 = *ldc;
c_offset = 1 + c_dim1;
c__ -= c_offset;
// Function Body
nota = lsame_(transa, "N");
notb = lsame_(transb, "N");
if (nota) {
nrowa = *m;
ncola = *k;
} else {
nrowa = *k;
ncola = *m;
}
if (notb) {
nrowb = *k;
} else {
nrowb = *n;
}
//
// Test the input parameters.
//
info = 0;
if (! nota && ! lsame_(transa, "C") && ! lsame_(transa, "T")) {
info = 1;
} else if (! notb && ! lsame_(transb, "C") && ! lsame_(transb, "T")) {
info = 2;
} else if (*m < 0) {
info = 3;
} else if (*n < 0) {
info = 4;
} else if (*k < 0) {
info = 5;
} else if (*lda < max(1,nrowa)) {
info = 8;
} else if (*ldb < max(1,nrowb)) {
info = 10;
} else if (*ldc < max(1,*m)) {
info = 13;
}
if (info != 0) {
xerbla_("SGEMM ", &info);
return 0;
}
//
// Quick return if possible.
//
if (*m == 0 || *n == 0 || (*alpha == 0.f || *k == 0) && *beta == 1.f) {
return 0;
}
//
// And if alpha.eq.zero.
//
if (*alpha == 0.f) {
if (*beta == 0.f) {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
c__[i__ + j * c_dim1] = 0.f;
// L10:
}
// L20:
}
} else {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
c__[i__ + j * c_dim1] = *beta * c__[i__ + j * c_dim1];
// L30:
}
// L40:
}
}
return 0;
}
//
// Start the operations.
//
if (notb) {
if (nota) {
//
// Form C := alpha*A*B + beta*C.
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
if (*beta == 0.f) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
c__[i__ + j * c_dim1] = 0.f;
// L50:
}
} else if (*beta != 1.f) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
c__[i__ + j * c_dim1] = *beta * c__[i__ + j * c_dim1];
// L60:
}
}
i__2 = *k;
for (l = 1; l <= i__2; ++l) {
temp = *alpha * b[l + j * b_dim1];
i__3 = *m;
for (i__ = 1; i__ <= i__3; ++i__) {
c__[i__ + j * c_dim1] += temp * a[i__ + l * a_dim1];
// L70:
}
// L80:
}
// L90:
}
} else {
//
// Form C := alpha*A**T*B + beta*C
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
temp = 0.f;
i__3 = *k;
for (l = 1; l <= i__3; ++l) {
temp += a[l + i__ * a_dim1] * b[l + j * b_dim1];
// L100:
}
if (*beta == 0.f) {
c__[i__ + j * c_dim1] = *alpha * temp;
} else {
c__[i__ + j * c_dim1] = *alpha * temp + *beta * c__[
i__ + j * c_dim1];
}
// L110:
}
// L120:
}
}
} else {
if (nota) {
//
// Form C := alpha*A*B**T + beta*C
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
if (*beta == 0.f) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
c__[i__ + j * c_dim1] = 0.f;
// L130:
}
} else if (*beta != 1.f) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
c__[i__ + j * c_dim1] = *beta * c__[i__ + j * c_dim1];
// L140:
}
}
i__2 = *k;
for (l = 1; l <= i__2; ++l) {
temp = *alpha * b[j + l * b_dim1];
i__3 = *m;
for (i__ = 1; i__ <= i__3; ++i__) {
c__[i__ + j * c_dim1] += temp * a[i__ + l * a_dim1];
// L150:
}
// L160:
}
// L170:
}
} else {
//
// Form C := alpha*A**T*B**T + beta*C
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
temp = 0.f;
i__3 = *k;
for (l = 1; l <= i__3; ++l) {
temp += a[l + i__ * a_dim1] * b[j + l * b_dim1];
// L180:
}
if (*beta == 0.f) {
c__[i__ + j * c_dim1] = *alpha * temp;
} else {
c__[i__ + j * c_dim1] = *alpha * temp + *beta * c__[
i__ + j * c_dim1];
}
// L190:
}
// L200:
}
}
}
return 0;
//
// End of SGEMM .
//
} // sgemm_
-752
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@@ -1,752 +0,0 @@
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
#include "f2c.h"
//> \brief \b ZGEMM
//
// =========== DOCUMENTATION ===========
//
// Online html documentation available at
// http://www.netlib.org/lapack/explore-html/
//
// Definition:
// ===========
//
// SUBROUTINE ZGEMM(TRANSA,TRANSB,M,N,K,ALPHA,A,LDA,B,LDB,BETA,C,LDC)
//
// .. Scalar Arguments ..
// COMPLEX*16 ALPHA,BETA
// INTEGER K,LDA,LDB,LDC,M,N
// CHARACTER TRANSA,TRANSB
// ..
// .. Array Arguments ..
// COMPLEX*16 A(LDA,*),B(LDB,*),C(LDC,*)
// ..
//
//
//> \par Purpose:
// =============
//>
//> \verbatim
//>
//> ZGEMM performs one of the matrix-matrix operations
//>
//> C := alpha*op( A )*op( B ) + beta*C,
//>
//> where op( X ) is one of
//>
//> op( X ) = X or op( X ) = X**T or op( X ) = X**H,
//>
//> alpha and beta are scalars, and A, B and C are matrices, with op( A )
//> an m by k matrix, op( B ) a k by n matrix and C an m by n matrix.
//> \endverbatim
//
// Arguments:
// ==========
//
//> \param[in] TRANSA
//> \verbatim
//> TRANSA is CHARACTER*1
//> On entry, TRANSA specifies the form of op( A ) to be used in
//> the matrix multiplication as follows:
//>
//> TRANSA = 'N' or 'n', op( A ) = A.
//>
//> TRANSA = 'T' or 't', op( A ) = A**T.
//>
//> TRANSA = 'C' or 'c', op( A ) = A**H.
//> \endverbatim
//>
//> \param[in] TRANSB
//> \verbatim
//> TRANSB is CHARACTER*1
//> On entry, TRANSB specifies the form of op( B ) to be used in
//> the matrix multiplication as follows:
//>
//> TRANSB = 'N' or 'n', op( B ) = B.
//>
//> TRANSB = 'T' or 't', op( B ) = B**T.
//>
//> TRANSB = 'C' or 'c', op( B ) = B**H.
//> \endverbatim
//>
//> \param[in] M
//> \verbatim
//> M is INTEGER
//> On entry, M specifies the number of rows of the matrix
//> op( A ) and of the matrix C. M must be at least zero.
//> \endverbatim
//>
//> \param[in] N
//> \verbatim
//> N is INTEGER
//> On entry, N specifies the number of columns of the matrix
//> op( B ) and the number of columns of the matrix C. N must be
//> at least zero.
//> \endverbatim
//>
//> \param[in] K
//> \verbatim
//> K is INTEGER
//> On entry, K specifies the number of columns of the matrix
//> op( A ) and the number of rows of the matrix op( B ). K must
//> be at least zero.
//> \endverbatim
//>
//> \param[in] ALPHA
//> \verbatim
//> ALPHA is COMPLEX*16
//> On entry, ALPHA specifies the scalar alpha.
//> \endverbatim
//>
//> \param[in] A
//> \verbatim
//> A is COMPLEX*16 array, dimension ( LDA, ka ), where ka is
//> k when TRANSA = 'N' or 'n', and is m otherwise.
//> Before entry with TRANSA = 'N' or 'n', the leading m by k
//> part of the array A must contain the matrix A, otherwise
//> the leading k by m part of the array A must contain the
//> matrix A.
//> \endverbatim
//>
//> \param[in] LDA
//> \verbatim
//> LDA is INTEGER
//> On entry, LDA specifies the first dimension of A as declared
//> in the calling (sub) program. When TRANSA = 'N' or 'n' then
//> LDA must be at least max( 1, m ), otherwise LDA must be at
//> least max( 1, k ).
//> \endverbatim
//>
//> \param[in] B
//> \verbatim
//> B is COMPLEX*16 array, dimension ( LDB, kb ), where kb is
//> n when TRANSB = 'N' or 'n', and is k otherwise.
//> Before entry with TRANSB = 'N' or 'n', the leading k by n
//> part of the array B must contain the matrix B, otherwise
//> the leading n by k part of the array B must contain the
//> matrix B.
//> \endverbatim
//>
//> \param[in] LDB
//> \verbatim
//> LDB is INTEGER
//> On entry, LDB specifies the first dimension of B as declared
//> in the calling (sub) program. When TRANSB = 'N' or 'n' then
//> LDB must be at least max( 1, k ), otherwise LDB must be at
//> least max( 1, n ).
//> \endverbatim
//>
//> \param[in] BETA
//> \verbatim
//> BETA is COMPLEX*16
//> On entry, BETA specifies the scalar beta. When BETA is
//> supplied as zero then C need not be set on input.
//> \endverbatim
//>
//> \param[in,out] C
//> \verbatim
//> C is COMPLEX*16 array, dimension ( LDC, N )
//> Before entry, the leading m by n part of the array C must
//> contain the matrix C, except when beta is zero, in which
//> case C need not be set on entry.
//> On exit, the array C is overwritten by the m by n matrix
//> ( alpha*op( A )*op( B ) + beta*C ).
//> \endverbatim
//>
//> \param[in] LDC
//> \verbatim
//> LDC is INTEGER
//> On entry, LDC specifies the first dimension of C as declared
//> in the calling (sub) program. LDC must be at least
//> max( 1, m ).
//> \endverbatim
//
// Authors:
// ========
//
//> \author Univ. of Tennessee
//> \author Univ. of California Berkeley
//> \author Univ. of Colorado Denver
//> \author NAG Ltd.
//
//> \date December 2016
//
//> \ingroup complex16_blas_level3
//
//> \par Further Details:
// =====================
//>
//> \verbatim
//>
//> Level 3 Blas routine.
//>
//> -- Written on 8-February-1989.
//> Jack Dongarra, Argonne National Laboratory.
//> Iain Duff, AERE Harwell.
//> Jeremy Du Croz, Numerical Algorithms Group Ltd.
//> Sven Hammarling, Numerical Algorithms Group Ltd.
//> \endverbatim
//>
// =====================================================================
/* Subroutine */ int zgemm_(char *transa, char *transb, int *m, int *n, int *
k, doublecomplex *alpha, doublecomplex *a, int *lda, doublecomplex *b,
int *ldb, doublecomplex *beta, doublecomplex *c__, int *ldc)
{
// Table of constant values
doublecomplex c_b1 = {1.,0.};
doublecomplex c_b2 = {0.,0.};
// System generated locals
int a_dim1, a_offset, b_dim1, b_offset, c_dim1, c_offset, i__1, i__2,
i__3, i__4, i__5, i__6;
doublecomplex z__1, z__2, z__3, z__4;
// Local variables
int i__, j, l, info;
int nota, notb;
doublecomplex temp;
int conja, conjb;
int ncola;
extern int lsame_(char *, char *);
int nrowa, nrowb;
extern /* Subroutine */ int xerbla_(char *, int *);
//
// -- Reference BLAS level3 routine (version 3.7.0) --
// -- Reference BLAS is a software package provided by Univ. of Tennessee, --
// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
// December 2016
//
// .. Scalar Arguments ..
// ..
// .. Array Arguments ..
// ..
//
// =====================================================================
//
// .. External Functions ..
// ..
// .. External Subroutines ..
// ..
// .. Intrinsic Functions ..
// ..
// .. Local Scalars ..
// ..
// .. Parameters ..
// ..
//
// Set NOTA and NOTB as true if A and B respectively are not
// conjugated or transposed, set CONJA and CONJB as true if A and
// B respectively are to be transposed but not conjugated and set
// NROWA, NCOLA and NROWB as the number of rows and columns of A
// and the number of rows of B respectively.
//
// Parameter adjustments
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
b_dim1 = *ldb;
b_offset = 1 + b_dim1;
b -= b_offset;
c_dim1 = *ldc;
c_offset = 1 + c_dim1;
c__ -= c_offset;
// Function Body
nota = lsame_(transa, "N");
notb = lsame_(transb, "N");
conja = lsame_(transa, "C");
conjb = lsame_(transb, "C");
if (nota) {
nrowa = *m;
ncola = *k;
} else {
nrowa = *k;
ncola = *m;
}
if (notb) {
nrowb = *k;
} else {
nrowb = *n;
}
//
// Test the input parameters.
//
info = 0;
if (! nota && ! conja && ! lsame_(transa, "T")) {
info = 1;
} else if (! notb && ! conjb && ! lsame_(transb, "T")) {
info = 2;
} else if (*m < 0) {
info = 3;
} else if (*n < 0) {
info = 4;
} else if (*k < 0) {
info = 5;
} else if (*lda < max(1,nrowa)) {
info = 8;
} else if (*ldb < max(1,nrowb)) {
info = 10;
} else if (*ldc < max(1,*m)) {
info = 13;
}
if (info != 0) {
xerbla_("ZGEMM ", &info);
return 0;
}
//
// Quick return if possible.
//
if (*m == 0 || *n == 0 || (alpha->r == 0. && alpha->i == 0. || *k == 0) &&
(beta->r == 1. && beta->i == 0.)) {
return 0;
}
//
// And when alpha.eq.zero.
//
if (alpha->r == 0. && alpha->i == 0.) {
if (beta->r == 0. && beta->i == 0.) {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
i__3 = i__ + j * c_dim1;
c__[i__3].r = 0., c__[i__3].i = 0.;
// L10:
}
// L20:
}
} else {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
i__3 = i__ + j * c_dim1;
i__4 = i__ + j * c_dim1;
z__1.r = beta->r * c__[i__4].r - beta->i * c__[i__4].i,
z__1.i = beta->r * c__[i__4].i + beta->i * c__[
i__4].r;
c__[i__3].r = z__1.r, c__[i__3].i = z__1.i;
// L30:
}
// L40:
}
}
return 0;
}
//
// Start the operations.
//
if (notb) {
if (nota) {
//
// Form C := alpha*A*B + beta*C.
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
if (beta->r == 0. && beta->i == 0.) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
i__3 = i__ + j * c_dim1;
c__[i__3].r = 0., c__[i__3].i = 0.;
// L50:
}
} else if (beta->r != 1. || beta->i != 0.) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
i__3 = i__ + j * c_dim1;
i__4 = i__ + j * c_dim1;
z__1.r = beta->r * c__[i__4].r - beta->i * c__[i__4]
.i, z__1.i = beta->r * c__[i__4].i + beta->i *
c__[i__4].r;
c__[i__3].r = z__1.r, c__[i__3].i = z__1.i;
// L60:
}
}
i__2 = *k;
for (l = 1; l <= i__2; ++l) {
i__3 = l + j * b_dim1;
z__1.r = alpha->r * b[i__3].r - alpha->i * b[i__3].i,
z__1.i = alpha->r * b[i__3].i + alpha->i * b[i__3]
.r;
temp.r = z__1.r, temp.i = z__1.i;
i__3 = *m;
for (i__ = 1; i__ <= i__3; ++i__) {
i__4 = i__ + j * c_dim1;
i__5 = i__ + j * c_dim1;
i__6 = i__ + l * a_dim1;
z__2.r = temp.r * a[i__6].r - temp.i * a[i__6].i,
z__2.i = temp.r * a[i__6].i + temp.i * a[i__6]
.r;
z__1.r = c__[i__5].r + z__2.r, z__1.i = c__[i__5].i +
z__2.i;
c__[i__4].r = z__1.r, c__[i__4].i = z__1.i;
// L70:
}
// L80:
}
// L90:
}
} else if (conja) {
//
// Form C := alpha*A**H*B + beta*C.
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
temp.r = 0., temp.i = 0.;
i__3 = *k;
for (l = 1; l <= i__3; ++l) {
d_cnjg(&z__3, &a[l + i__ * a_dim1]);
i__4 = l + j * b_dim1;
z__2.r = z__3.r * b[i__4].r - z__3.i * b[i__4].i,
z__2.i = z__3.r * b[i__4].i + z__3.i * b[i__4]
.r;
z__1.r = temp.r + z__2.r, z__1.i = temp.i + z__2.i;
temp.r = z__1.r, temp.i = z__1.i;
// L100:
}
if (beta->r == 0. && beta->i == 0.) {
i__3 = i__ + j * c_dim1;
z__1.r = alpha->r * temp.r - alpha->i * temp.i,
z__1.i = alpha->r * temp.i + alpha->i *
temp.r;
c__[i__3].r = z__1.r, c__[i__3].i = z__1.i;
} else {
i__3 = i__ + j * c_dim1;
z__2.r = alpha->r * temp.r - alpha->i * temp.i,
z__2.i = alpha->r * temp.i + alpha->i *
temp.r;
i__4 = i__ + j * c_dim1;
z__3.r = beta->r * c__[i__4].r - beta->i * c__[i__4]
.i, z__3.i = beta->r * c__[i__4].i + beta->i *
c__[i__4].r;
z__1.r = z__2.r + z__3.r, z__1.i = z__2.i + z__3.i;
c__[i__3].r = z__1.r, c__[i__3].i = z__1.i;
}
// L110:
}
// L120:
}
} else {
//
// Form C := alpha*A**T*B + beta*C
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
temp.r = 0., temp.i = 0.;
i__3 = *k;
for (l = 1; l <= i__3; ++l) {
i__4 = l + i__ * a_dim1;
i__5 = l + j * b_dim1;
z__2.r = a[i__4].r * b[i__5].r - a[i__4].i * b[i__5]
.i, z__2.i = a[i__4].r * b[i__5].i + a[i__4]
.i * b[i__5].r;
z__1.r = temp.r + z__2.r, z__1.i = temp.i + z__2.i;
temp.r = z__1.r, temp.i = z__1.i;
// L130:
}
if (beta->r == 0. && beta->i == 0.) {
i__3 = i__ + j * c_dim1;
z__1.r = alpha->r * temp.r - alpha->i * temp.i,
z__1.i = alpha->r * temp.i + alpha->i *
temp.r;
c__[i__3].r = z__1.r, c__[i__3].i = z__1.i;
} else {
i__3 = i__ + j * c_dim1;
z__2.r = alpha->r * temp.r - alpha->i * temp.i,
z__2.i = alpha->r * temp.i + alpha->i *
temp.r;
i__4 = i__ + j * c_dim1;
z__3.r = beta->r * c__[i__4].r - beta->i * c__[i__4]
.i, z__3.i = beta->r * c__[i__4].i + beta->i *
c__[i__4].r;
z__1.r = z__2.r + z__3.r, z__1.i = z__2.i + z__3.i;
c__[i__3].r = z__1.r, c__[i__3].i = z__1.i;
}
// L140:
}
// L150:
}
}
} else if (nota) {
if (conjb) {
//
// Form C := alpha*A*B**H + beta*C.
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
if (beta->r == 0. && beta->i == 0.) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
i__3 = i__ + j * c_dim1;
c__[i__3].r = 0., c__[i__3].i = 0.;
// L160:
}
} else if (beta->r != 1. || beta->i != 0.) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
i__3 = i__ + j * c_dim1;
i__4 = i__ + j * c_dim1;
z__1.r = beta->r * c__[i__4].r - beta->i * c__[i__4]
.i, z__1.i = beta->r * c__[i__4].i + beta->i *
c__[i__4].r;
c__[i__3].r = z__1.r, c__[i__3].i = z__1.i;
// L170:
}
}
i__2 = *k;
for (l = 1; l <= i__2; ++l) {
d_cnjg(&z__2, &b[j + l * b_dim1]);
z__1.r = alpha->r * z__2.r - alpha->i * z__2.i, z__1.i =
alpha->r * z__2.i + alpha->i * z__2.r;
temp.r = z__1.r, temp.i = z__1.i;
i__3 = *m;
for (i__ = 1; i__ <= i__3; ++i__) {
i__4 = i__ + j * c_dim1;
i__5 = i__ + j * c_dim1;
i__6 = i__ + l * a_dim1;
z__2.r = temp.r * a[i__6].r - temp.i * a[i__6].i,
z__2.i = temp.r * a[i__6].i + temp.i * a[i__6]
.r;
z__1.r = c__[i__5].r + z__2.r, z__1.i = c__[i__5].i +
z__2.i;
c__[i__4].r = z__1.r, c__[i__4].i = z__1.i;
// L180:
}
// L190:
}
// L200:
}
} else {
//
// Form C := alpha*A*B**T + beta*C
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
if (beta->r == 0. && beta->i == 0.) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
i__3 = i__ + j * c_dim1;
c__[i__3].r = 0., c__[i__3].i = 0.;
// L210:
}
} else if (beta->r != 1. || beta->i != 0.) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
i__3 = i__ + j * c_dim1;
i__4 = i__ + j * c_dim1;
z__1.r = beta->r * c__[i__4].r - beta->i * c__[i__4]
.i, z__1.i = beta->r * c__[i__4].i + beta->i *
c__[i__4].r;
c__[i__3].r = z__1.r, c__[i__3].i = z__1.i;
// L220:
}
}
i__2 = *k;
for (l = 1; l <= i__2; ++l) {
i__3 = j + l * b_dim1;
z__1.r = alpha->r * b[i__3].r - alpha->i * b[i__3].i,
z__1.i = alpha->r * b[i__3].i + alpha->i * b[i__3]
.r;
temp.r = z__1.r, temp.i = z__1.i;
i__3 = *m;
for (i__ = 1; i__ <= i__3; ++i__) {
i__4 = i__ + j * c_dim1;
i__5 = i__ + j * c_dim1;
i__6 = i__ + l * a_dim1;
z__2.r = temp.r * a[i__6].r - temp.i * a[i__6].i,
z__2.i = temp.r * a[i__6].i + temp.i * a[i__6]
.r;
z__1.r = c__[i__5].r + z__2.r, z__1.i = c__[i__5].i +
z__2.i;
c__[i__4].r = z__1.r, c__[i__4].i = z__1.i;
// L230:
}
// L240:
}
// L250:
}
}
} else if (conja) {
if (conjb) {
//
// Form C := alpha*A**H*B**H + beta*C.
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
temp.r = 0., temp.i = 0.;
i__3 = *k;
for (l = 1; l <= i__3; ++l) {
d_cnjg(&z__3, &a[l + i__ * a_dim1]);
d_cnjg(&z__4, &b[j + l * b_dim1]);
z__2.r = z__3.r * z__4.r - z__3.i * z__4.i, z__2.i =
z__3.r * z__4.i + z__3.i * z__4.r;
z__1.r = temp.r + z__2.r, z__1.i = temp.i + z__2.i;
temp.r = z__1.r, temp.i = z__1.i;
// L260:
}
if (beta->r == 0. && beta->i == 0.) {
i__3 = i__ + j * c_dim1;
z__1.r = alpha->r * temp.r - alpha->i * temp.i,
z__1.i = alpha->r * temp.i + alpha->i *
temp.r;
c__[i__3].r = z__1.r, c__[i__3].i = z__1.i;
} else {
i__3 = i__ + j * c_dim1;
z__2.r = alpha->r * temp.r - alpha->i * temp.i,
z__2.i = alpha->r * temp.i + alpha->i *
temp.r;
i__4 = i__ + j * c_dim1;
z__3.r = beta->r * c__[i__4].r - beta->i * c__[i__4]
.i, z__3.i = beta->r * c__[i__4].i + beta->i *
c__[i__4].r;
z__1.r = z__2.r + z__3.r, z__1.i = z__2.i + z__3.i;
c__[i__3].r = z__1.r, c__[i__3].i = z__1.i;
}
// L270:
}
// L280:
}
} else {
//
// Form C := alpha*A**H*B**T + beta*C
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
temp.r = 0., temp.i = 0.;
i__3 = *k;
for (l = 1; l <= i__3; ++l) {
d_cnjg(&z__3, &a[l + i__ * a_dim1]);
i__4 = j + l * b_dim1;
z__2.r = z__3.r * b[i__4].r - z__3.i * b[i__4].i,
z__2.i = z__3.r * b[i__4].i + z__3.i * b[i__4]
.r;
z__1.r = temp.r + z__2.r, z__1.i = temp.i + z__2.i;
temp.r = z__1.r, temp.i = z__1.i;
// L290:
}
if (beta->r == 0. && beta->i == 0.) {
i__3 = i__ + j * c_dim1;
z__1.r = alpha->r * temp.r - alpha->i * temp.i,
z__1.i = alpha->r * temp.i + alpha->i *
temp.r;
c__[i__3].r = z__1.r, c__[i__3].i = z__1.i;
} else {
i__3 = i__ + j * c_dim1;
z__2.r = alpha->r * temp.r - alpha->i * temp.i,
z__2.i = alpha->r * temp.i + alpha->i *
temp.r;
i__4 = i__ + j * c_dim1;
z__3.r = beta->r * c__[i__4].r - beta->i * c__[i__4]
.i, z__3.i = beta->r * c__[i__4].i + beta->i *
c__[i__4].r;
z__1.r = z__2.r + z__3.r, z__1.i = z__2.i + z__3.i;
c__[i__3].r = z__1.r, c__[i__3].i = z__1.i;
}
// L300:
}
// L310:
}
}
} else {
if (conjb) {
//
// Form C := alpha*A**T*B**H + beta*C
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
temp.r = 0., temp.i = 0.;
i__3 = *k;
for (l = 1; l <= i__3; ++l) {
i__4 = l + i__ * a_dim1;
d_cnjg(&z__3, &b[j + l * b_dim1]);
z__2.r = a[i__4].r * z__3.r - a[i__4].i * z__3.i,
z__2.i = a[i__4].r * z__3.i + a[i__4].i *
z__3.r;
z__1.r = temp.r + z__2.r, z__1.i = temp.i + z__2.i;
temp.r = z__1.r, temp.i = z__1.i;
// L320:
}
if (beta->r == 0. && beta->i == 0.) {
i__3 = i__ + j * c_dim1;
z__1.r = alpha->r * temp.r - alpha->i * temp.i,
z__1.i = alpha->r * temp.i + alpha->i *
temp.r;
c__[i__3].r = z__1.r, c__[i__3].i = z__1.i;
} else {
i__3 = i__ + j * c_dim1;
z__2.r = alpha->r * temp.r - alpha->i * temp.i,
z__2.i = alpha->r * temp.i + alpha->i *
temp.r;
i__4 = i__ + j * c_dim1;
z__3.r = beta->r * c__[i__4].r - beta->i * c__[i__4]
.i, z__3.i = beta->r * c__[i__4].i + beta->i *
c__[i__4].r;
z__1.r = z__2.r + z__3.r, z__1.i = z__2.i + z__3.i;
c__[i__3].r = z__1.r, c__[i__3].i = z__1.i;
}
// L330:
}
// L340:
}
} else {
//
// Form C := alpha*A**T*B**T + beta*C
//
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = 1; i__ <= i__2; ++i__) {
temp.r = 0., temp.i = 0.;
i__3 = *k;
for (l = 1; l <= i__3; ++l) {
i__4 = l + i__ * a_dim1;
i__5 = j + l * b_dim1;
z__2.r = a[i__4].r * b[i__5].r - a[i__4].i * b[i__5]
.i, z__2.i = a[i__4].r * b[i__5].i + a[i__4]
.i * b[i__5].r;
z__1.r = temp.r + z__2.r, z__1.i = temp.i + z__2.i;
temp.r = z__1.r, temp.i = z__1.i;
// L350:
}
if (beta->r == 0. && beta->i == 0.) {
i__3 = i__ + j * c_dim1;
z__1.r = alpha->r * temp.r - alpha->i * temp.i,
z__1.i = alpha->r * temp.i + alpha->i *
temp.r;
c__[i__3].r = z__1.r, c__[i__3].i = z__1.i;
} else {
i__3 = i__ + j * c_dim1;
z__2.r = alpha->r * temp.r - alpha->i * temp.i,
z__2.i = alpha->r * temp.i + alpha->i *
temp.r;
i__4 = i__ + j * c_dim1;
z__3.r = beta->r * c__[i__4].r - beta->i * c__[i__4]
.i, z__3.i = beta->r * c__[i__4].i + beta->i *
c__[i__4].r;
z__1.r = z__2.r + z__3.r, z__1.i = z__2.i + z__3.i;
c__[i__3].r = z__1.r, c__[i__3].i = z__1.i;
}
// L360:
}
// L370:
}
}
}
return 0;
//
// End of ZGEMM .
//
} // zgemm_
-35
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@@ -1,35 +0,0 @@
if(NOT ANDROID)
message("cpufeatures is ANDROID project")
endif()
ocv_update(OPENCV_CPUFEATURES_TARGET_NAME libcpufeatures)
set(CPUFEATURES_ROOT "${CMAKE_CURRENT_SOURCE_DIR}" CACHE PATH "Android cpufeatures project sources (for example, <android-ndk>/sources/android/cpufeatures)")
set(CPUFEATURES_INCLUDE_DIRS ${CPUFEATURES_ROOT} CACHE INTERNAL "")
set(CPUFEATURES_LIBRARIES "${OPENCV_CPUFEATURES_TARGET_NAME}" CACHE INTERNAL "")
if(NOT DEFINED CPUFEATURES_SOURCES)
set(CPUFEATURES_SOURCES ${CPUFEATURES_ROOT}/cpu-features.c ${CPUFEATURES_ROOT}/cpu-features.h)
endif()
include_directories(${CPUFEATURES_INCLUDE_DIRS})
add_library(${OPENCV_CPUFEATURES_TARGET_NAME} STATIC ${OPENCV_3RDPARTY_EXCLUDE_FROM_ALL} ${CPUFEATURES_SOURCES})
set_target_properties(${OPENCV_CPUFEATURES_TARGET_NAME}
PROPERTIES OUTPUT_NAME cpufeatures
DEBUG_POSTFIX "${OPENCV_DEBUG_POSTFIX}"
COMPILE_PDB_NAME cpufeatures
COMPILE_PDB_NAME_DEBUG "cpufeatures${OPENCV_DEBUG_POSTFIX}"
ARCHIVE_OUTPUT_DIRECTORY ${3P_LIBRARY_OUTPUT_PATH}
)
if(ENABLE_SOLUTION_FOLDERS)
set_target_properties(${OPENCV_CPUFEATURES_TARGET_NAME} PROPERTIES FOLDER "3rdparty")
endif()
if(NOT BUILD_SHARED_LIBS)
ocv_install_target(${OPENCV_CPUFEATURES_TARGET_NAME} EXPORT OpenCVModules ARCHIVE DESTINATION ${OPENCV_3P_LIB_INSTALL_PATH} COMPONENT dev OPTIONAL)
endif()
ocv_install_3rdparty_licenses(cpufeatures LICENSE README.md)
-13
View File
@@ -1,13 +0,0 @@
Copyright (C) 2016 The Android Open Source Project
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
-4
View File
@@ -1,4 +0,0 @@
The Android NDK provides a small library named cpufeatures that your app can use at runtime to detect the target device's CPU family and the optional features it supports.
It is designed to work as-is on all official Android platform versions.
https://developer.android.com/ndk/guides/cpu-features.html
File diff suppressed because it is too large Load Diff
-324
View File
@@ -1,324 +0,0 @@
/*
* Copyright (C) 2010 The Android Open Source Project
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in
* the documentation and/or other materials provided with the
* distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS
* OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED
* AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT
* OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
* SUCH DAMAGE.
*/
#ifndef CPU_FEATURES_H
#define CPU_FEATURES_H
#include <sys/cdefs.h>
#include <stdint.h>
#include <string.h>
__BEGIN_DECLS
/* A list of valid values returned by android_getCpuFamily().
* They describe the CPU Architecture of the current process.
*/
typedef enum {
ANDROID_CPU_FAMILY_UNKNOWN = 0,
ANDROID_CPU_FAMILY_ARM,
ANDROID_CPU_FAMILY_X86,
ANDROID_CPU_FAMILY_MIPS,
ANDROID_CPU_FAMILY_ARM64,
ANDROID_CPU_FAMILY_X86_64,
ANDROID_CPU_FAMILY_MIPS64,
ANDROID_CPU_FAMILY_MAX /* do not remove */
} AndroidCpuFamily;
/* Return the CPU family of the current process.
*
* Note that this matches the bitness of the current process. I.e. when
* running a 32-bit binary on a 64-bit capable CPU, this will return the
* 32-bit CPU family value.
*/
extern AndroidCpuFamily android_getCpuFamily(void);
/* Return a bitmap describing a set of optional CPU features that are
* supported by the current device's CPU. The exact bit-flags returned
* depend on the value returned by android_getCpuFamily(). See the
* documentation for the ANDROID_CPU_*_FEATURE_* flags below for details.
*/
extern uint64_t android_getCpuFeatures(void);
/* The list of feature flags for ANDROID_CPU_FAMILY_ARM that can be
* recognized by the library (see note below for 64-bit ARM). Value details
* are:
*
* VFPv2:
* CPU supports the VFPv2 instruction set. Many, but not all, ARMv6 CPUs
* support these instructions. VFPv2 is a subset of VFPv3 so this will
* be set whenever VFPv3 is set too.
*
* ARMv7:
* CPU supports the ARMv7-A basic instruction set.
* This feature is mandated by the 'armeabi-v7a' ABI.
*
* VFPv3:
* CPU supports the VFPv3-D16 instruction set, providing hardware FPU
* support for single and double precision floating point registers.
* Note that only 16 FPU registers are available by default, unless
* the D32 bit is set too. This feature is also mandated by the
* 'armeabi-v7a' ABI.
*
* VFP_D32:
* CPU VFP optional extension that provides 32 FPU registers,
* instead of 16. Note that ARM mandates this feature is the 'NEON'
* feature is implemented by the CPU.
*
* NEON:
* CPU FPU supports "ARM Advanced SIMD" instructions, also known as
* NEON. Note that this mandates the VFP_D32 feature as well, per the
* ARM Architecture specification.
*
* VFP_FP16:
* Half-width floating precision VFP extension. If set, the CPU
* supports instructions to perform floating-point operations on
* 16-bit registers. This is part of the VFPv4 specification, but
* not mandated by any Android ABI.
*
* VFP_FMA:
* Fused multiply-accumulate VFP instructions extension. Also part of
* the VFPv4 specification, but not mandated by any Android ABI.
*
* NEON_FMA:
* Fused multiply-accumulate NEON instructions extension. Optional
* extension from the VFPv4 specification, but not mandated by any
* Android ABI.
*
* IDIV_ARM:
* Integer division available in ARM mode. Only available
* on recent CPUs (e.g. Cortex-A15).
*
* IDIV_THUMB2:
* Integer division available in Thumb-2 mode. Only available
* on recent CPUs (e.g. Cortex-A15).
*
* iWMMXt:
* Optional extension that adds MMX registers and operations to an
* ARM CPU. This is only available on a few XScale-based CPU designs
* sold by Marvell. Pretty rare in practice.
*
* AES:
* CPU supports AES instructions. These instructions are only
* available for 32-bit applications running on ARMv8 CPU.
*
* CRC32:
* CPU supports CRC32 instructions. These instructions are only
* available for 32-bit applications running on ARMv8 CPU.
*
* SHA2:
* CPU supports SHA2 instructions. These instructions are only
* available for 32-bit applications running on ARMv8 CPU.
*
* SHA1:
* CPU supports SHA1 instructions. These instructions are only
* available for 32-bit applications running on ARMv8 CPU.
*
* PMULL:
* CPU supports 64-bit PMULL and PMULL2 instructions. These
* instructions are only available for 32-bit applications
* running on ARMv8 CPU.
*
* If you want to tell the compiler to generate code that targets one of
* the feature set above, you should probably use one of the following
* flags (for more details, see technical note at the end of this file):
*
* -mfpu=vfp
* -mfpu=vfpv2
* These are equivalent and tell GCC to use VFPv2 instructions for
* floating-point operations. Use this if you want your code to
* run on *some* ARMv6 devices, and any ARMv7-A device supported
* by Android.
*
* Generated code requires VFPv2 feature.
*
* -mfpu=vfpv3-d16
* Tell GCC to use VFPv3 instructions (using only 16 FPU registers).
* This should be generic code that runs on any CPU that supports the
* 'armeabi-v7a' Android ABI. Note that no ARMv6 CPU supports this.
*
* Generated code requires VFPv3 feature.
*
* -mfpu=vfpv3
* Tell GCC to use VFPv3 instructions with 32 FPU registers.
* Generated code requires VFPv3|VFP_D32 features.
*
* -mfpu=neon
* Tell GCC to use VFPv3 instructions with 32 FPU registers, and
* also support NEON intrinsics (see <arm_neon.h>).
* Generated code requires VFPv3|VFP_D32|NEON features.
*
* -mfpu=vfpv4-d16
* Generated code requires VFPv3|VFP_FP16|VFP_FMA features.
*
* -mfpu=vfpv4
* Generated code requires VFPv3|VFP_FP16|VFP_FMA|VFP_D32 features.
*
* -mfpu=neon-vfpv4
* Generated code requires VFPv3|VFP_FP16|VFP_FMA|VFP_D32|NEON|NEON_FMA
* features.
*
* -mcpu=cortex-a7
* -mcpu=cortex-a15
* Generated code requires VFPv3|VFP_FP16|VFP_FMA|VFP_D32|
* NEON|NEON_FMA|IDIV_ARM|IDIV_THUMB2
* This flag implies -mfpu=neon-vfpv4.
*
* -mcpu=iwmmxt
* Allows the use of iWMMXt instrinsics with GCC.
*
* IMPORTANT NOTE: These flags should only be tested when
* android_getCpuFamily() returns ANDROID_CPU_FAMILY_ARM, i.e. this is a
* 32-bit process.
*
* When running a 64-bit ARM process on an ARMv8 CPU,
* android_getCpuFeatures() will return a different set of bitflags
*/
enum {
ANDROID_CPU_ARM_FEATURE_ARMv7 = (1 << 0),
ANDROID_CPU_ARM_FEATURE_VFPv3 = (1 << 1),
ANDROID_CPU_ARM_FEATURE_NEON = (1 << 2),
ANDROID_CPU_ARM_FEATURE_LDREX_STREX = (1 << 3),
ANDROID_CPU_ARM_FEATURE_VFPv2 = (1 << 4),
ANDROID_CPU_ARM_FEATURE_VFP_D32 = (1 << 5),
ANDROID_CPU_ARM_FEATURE_VFP_FP16 = (1 << 6),
ANDROID_CPU_ARM_FEATURE_VFP_FMA = (1 << 7),
ANDROID_CPU_ARM_FEATURE_NEON_FMA = (1 << 8),
ANDROID_CPU_ARM_FEATURE_IDIV_ARM = (1 << 9),
ANDROID_CPU_ARM_FEATURE_IDIV_THUMB2 = (1 << 10),
ANDROID_CPU_ARM_FEATURE_iWMMXt = (1 << 11),
ANDROID_CPU_ARM_FEATURE_AES = (1 << 12),
ANDROID_CPU_ARM_FEATURE_PMULL = (1 << 13),
ANDROID_CPU_ARM_FEATURE_SHA1 = (1 << 14),
ANDROID_CPU_ARM_FEATURE_SHA2 = (1 << 15),
ANDROID_CPU_ARM_FEATURE_CRC32 = (1 << 16),
};
/* The bit flags corresponding to the output of android_getCpuFeatures()
* when android_getCpuFamily() returns ANDROID_CPU_FAMILY_ARM64. Value details
* are:
*
* FP:
* CPU has Floating-point unit.
*
* ASIMD:
* CPU has Advanced SIMD unit.
*
* AES:
* CPU supports AES instructions.
*
* CRC32:
* CPU supports CRC32 instructions.
*
* SHA2:
* CPU supports SHA2 instructions.
*
* SHA1:
* CPU supports SHA1 instructions.
*
* PMULL:
* CPU supports 64-bit PMULL and PMULL2 instructions.
*/
enum {
ANDROID_CPU_ARM64_FEATURE_FP = (1 << 0),
ANDROID_CPU_ARM64_FEATURE_ASIMD = (1 << 1),
ANDROID_CPU_ARM64_FEATURE_AES = (1 << 2),
ANDROID_CPU_ARM64_FEATURE_PMULL = (1 << 3),
ANDROID_CPU_ARM64_FEATURE_SHA1 = (1 << 4),
ANDROID_CPU_ARM64_FEATURE_SHA2 = (1 << 5),
ANDROID_CPU_ARM64_FEATURE_CRC32 = (1 << 6),
};
/* The bit flags corresponding to the output of android_getCpuFeatures()
* when android_getCpuFamily() returns ANDROID_CPU_FAMILY_X86 or
* ANDROID_CPU_FAMILY_X86_64.
*/
enum {
ANDROID_CPU_X86_FEATURE_SSSE3 = (1 << 0),
ANDROID_CPU_X86_FEATURE_POPCNT = (1 << 1),
ANDROID_CPU_X86_FEATURE_MOVBE = (1 << 2),
ANDROID_CPU_X86_FEATURE_SSE4_1 = (1 << 3),
ANDROID_CPU_X86_FEATURE_SSE4_2 = (1 << 4),
ANDROID_CPU_X86_FEATURE_AES_NI = (1 << 5),
ANDROID_CPU_X86_FEATURE_AVX = (1 << 6),
ANDROID_CPU_X86_FEATURE_RDRAND = (1 << 7),
ANDROID_CPU_X86_FEATURE_AVX2 = (1 << 8),
ANDROID_CPU_X86_FEATURE_SHA_NI = (1 << 9),
};
/* The bit flags corresponding to the output of android_getCpuFeatures()
* when android_getCpuFamily() returns ANDROID_CPU_FAMILY_MIPS
* or ANDROID_CPU_FAMILY_MIPS64. Values are:
*
* R6:
* CPU executes MIPS Release 6 instructions natively, and
* supports obsoleted R1..R5 instructions only via kernel traps.
*
* MSA:
* CPU supports Mips SIMD Architecture instructions.
*/
enum {
ANDROID_CPU_MIPS_FEATURE_R6 = (1 << 0),
ANDROID_CPU_MIPS_FEATURE_MSA = (1 << 1),
};
/* Return the number of CPU cores detected on this device. */
extern int android_getCpuCount(void);
/* The following is used to force the CPU count and features
* mask in sandboxed processes. Under 4.1 and higher, these processes
* cannot access /proc, which is the only way to get information from
* the kernel about the current hardware (at least on ARM).
*
* It _must_ be called only once, and before any android_getCpuXXX
* function, any other case will fail.
*
* This function return 1 on success, and 0 on failure.
*/
extern int android_setCpu(int cpu_count,
uint64_t cpu_features);
#ifdef __arm__
/* Retrieve the ARM 32-bit CPUID value from the kernel.
* Note that this cannot work on sandboxed processes under 4.1 and
* higher, unless you called android_setCpuArm() before.
*/
extern uint32_t android_getCpuIdArm(void);
/* An ARM-specific variant of android_setCpu() that also allows you
* to set the ARM CPUID field.
*/
extern int android_setCpuArm(int cpu_count,
uint64_t cpu_features,
uint32_t cpu_id);
#endif
__END_DECLS
#endif /* CPU_FEATURES_H */
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-366
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@@ -1,366 +0,0 @@
/*!
* Copyright (c) 2017 by Contributors
* \file dlpack.h
* \brief The common header of DLPack.
*/
#ifndef DLPACK_DLPACK_H_
#define DLPACK_DLPACK_H_
/**
* \brief Compatibility with C++
*/
#ifdef __cplusplus
#define DLPACK_EXTERN_C extern "C"
#else
#define DLPACK_EXTERN_C
#endif
/*! \brief The current major version of dlpack */
#define DLPACK_MAJOR_VERSION 1
/*! \brief The current minor version of dlpack */
#define DLPACK_MINOR_VERSION 1
/*! \brief DLPACK_DLL prefix for windows */
#ifdef _WIN32
#ifdef DLPACK_EXPORTS
#define DLPACK_DLL __declspec(dllexport)
#else
#define DLPACK_DLL __declspec(dllimport)
#endif
#else
#define DLPACK_DLL
#endif
#include <stdint.h>
#include <stddef.h>
#ifdef __cplusplus
extern "C" {
#endif
/*!
* \brief The DLPack version.
*
* A change in major version indicates that we have changed the
* data layout of the ABI - DLManagedTensorVersioned.
*
* A change in minor version indicates that we have added new
* code, such as a new device type, but the ABI is kept the same.
*
* If an obtained DLPack tensor has a major version that disagrees
* with the version number specified in this header file
* (i.e. major != DLPACK_MAJOR_VERSION), the consumer must call the deleter
* (and it is safe to do so). It is not safe to access any other fields
* as the memory layout will have changed.
*
* In the case of a minor version mismatch, the tensor can be safely used as
* long as the consumer knows how to interpret all fields. Minor version
* updates indicate the addition of enumeration values.
*/
typedef struct {
/*! \brief DLPack major version. */
uint32_t major;
/*! \brief DLPack minor version. */
uint32_t minor;
} DLPackVersion;
/*!
* \brief The device type in DLDevice.
*/
#ifdef __cplusplus
typedef enum : int32_t {
#else
typedef enum {
#endif
/*! \brief CPU device */
kDLCPU = 1,
/*! \brief CUDA GPU device */
kDLCUDA = 2,
/*!
* \brief Pinned CUDA CPU memory by cudaMallocHost
*/
kDLCUDAHost = 3,
/*! \brief OpenCL devices. */
kDLOpenCL = 4,
/*! \brief Vulkan buffer for next generation graphics. */
kDLVulkan = 7,
/*! \brief Metal for Apple GPU. */
kDLMetal = 8,
/*! \brief Verilog simulator buffer */
kDLVPI = 9,
/*! \brief ROCm GPUs for AMD GPUs */
kDLROCM = 10,
/*!
* \brief Pinned ROCm CPU memory allocated by hipMallocHost
*/
kDLROCMHost = 11,
/*!
* \brief Reserved extension device type,
* used for quickly test extension device
* The semantics can differ depending on the implementation.
*/
kDLExtDev = 12,
/*!
* \brief CUDA managed/unified memory allocated by cudaMallocManaged
*/
kDLCUDAManaged = 13,
/*!
* \brief Unified shared memory allocated on a oneAPI non-partititioned
* device. Call to oneAPI runtime is required to determine the device
* type, the USM allocation type and the sycl context it is bound to.
*
*/
kDLOneAPI = 14,
/*! \brief GPU support for next generation WebGPU standard. */
kDLWebGPU = 15,
/*! \brief Qualcomm Hexagon DSP */
kDLHexagon = 16,
/*! \brief Microsoft MAIA devices */
kDLMAIA = 17,
} DLDeviceType;
/*!
* \brief A Device for Tensor and operator.
*/
typedef struct {
/*! \brief The device type used in the device. */
DLDeviceType device_type;
/*!
* \brief The device index.
* For vanilla CPU memory, pinned memory, or managed memory, this is set to 0.
*/
int32_t device_id;
} DLDevice;
/*!
* \brief The type code options DLDataType.
*/
typedef enum {
/*! \brief signed integer */
kDLInt = 0U,
/*! \brief unsigned integer */
kDLUInt = 1U,
/*! \brief IEEE floating point */
kDLFloat = 2U,
/*!
* \brief Opaque handle type, reserved for testing purposes.
* Frameworks need to agree on the handle data type for the exchange to be well-defined.
*/
kDLOpaqueHandle = 3U,
/*! \brief bfloat16 */
kDLBfloat = 4U,
/*!
* \brief complex number
* (C/C++/Python layout: compact struct per complex number)
*/
kDLComplex = 5U,
/*! \brief boolean */
kDLBool = 6U,
/*! \brief FP8 data types */
kDLFloat8_e3m4 = 7U,
kDLFloat8_e4m3 = 8U,
kDLFloat8_e4m3b11fnuz = 9U,
kDLFloat8_e4m3fn = 10U,
kDLFloat8_e4m3fnuz = 11U,
kDLFloat8_e5m2 = 12U,
kDLFloat8_e5m2fnuz = 13U,
kDLFloat8_e8m0fnu = 14U,
/*! \brief FP6 data types
* Setting bits != 6 is currently unspecified, and the producer must ensure it is set
* while the consumer must stop importing if the value is unexpected.
*/
kDLFloat6_e2m3fn = 15U,
kDLFloat6_e3m2fn = 16U,
/*! \brief FP4 data types
* Setting bits != 4 is currently unspecified, and the producer must ensure it is set
* while the consumer must stop importing if the value is unexpected.
*/
kDLFloat4_e2m1fn = 17U,
} DLDataTypeCode;
/*!
* \brief The data type the tensor can hold. The data type is assumed to follow the
* native endian-ness. An explicit error message should be raised when attempting to
* export an array with non-native endianness
*
* Examples
* - float: type_code = 2, bits = 32, lanes = 1
* - float4(vectorized 4 float): type_code = 2, bits = 32, lanes = 4
* - int8: type_code = 0, bits = 8, lanes = 1
* - std::complex<float>: type_code = 5, bits = 64, lanes = 1
* - bool: type_code = 6, bits = 8, lanes = 1 (as per common array library convention, the underlying storage size of bool is 8 bits)
* - float8_e4m3: type_code = 8, bits = 8, lanes = 1 (packed in memory)
* - float6_e3m2fn: type_code = 16, bits = 6, lanes = 1 (packed in memory)
* - float4_e2m1fn: type_code = 17, bits = 4, lanes = 1 (packed in memory)
*
* When a sub-byte type is packed, DLPack requires the data to be in little bit-endian, i.e.,
* for a packed data set D ((D >> (i * bits)) && bit_mask) stores the i-th element.
*/
typedef struct {
/*!
* \brief Type code of base types.
* We keep it uint8_t instead of DLDataTypeCode for minimal memory
* footprint, but the value should be one of DLDataTypeCode enum values.
* */
uint8_t code;
/*!
* \brief Number of bits, common choices are 8, 16, 32.
*/
uint8_t bits;
/*! \brief Number of lanes in the type, used for vector types. */
uint16_t lanes;
} DLDataType;
/*!
* \brief Plain C Tensor object, does not manage memory.
*/
typedef struct {
/*!
* \brief The data pointer points to the allocated data. This will be CUDA
* device pointer or cl_mem handle in OpenCL. It may be opaque on some device
* types. This pointer is always aligned to 256 bytes as in CUDA. The
* `byte_offset` field should be used to point to the beginning of the data.
*
* Note that as of Nov 2021, multiply libraries (CuPy, PyTorch, TensorFlow,
* TVM, perhaps others) do not adhere to this 256 byte aligment requirement
* on CPU/CUDA/ROCm, and always use `byte_offset=0`. This must be fixed
* (after which this note will be updated); at the moment it is recommended
* to not rely on the data pointer being correctly aligned.
*
* For given DLTensor, the size of memory required to store the contents of
* data is calculated as follows:
*
* \code{.c}
* static inline size_t GetDataSize(const DLTensor* t) {
* size_t size = 1;
* for (tvm_index_t i = 0; i < t->ndim; ++i) {
* size *= t->shape[i];
* }
* size *= (t->dtype.bits * t->dtype.lanes + 7) / 8;
* return size;
* }
* \endcode
*
* Note that if the tensor is of size zero, then the data pointer should be
* set to `NULL`.
*/
void* data;
/*! \brief The device of the tensor */
DLDevice device;
/*! \brief Number of dimensions */
int32_t ndim;
/*! \brief The data type of the pointer*/
DLDataType dtype;
/*! \brief The shape of the tensor */
int64_t* shape;
/*!
* \brief strides of the tensor (in number of elements, not bytes)
* can be NULL, indicating tensor is compact and row-majored.
*/
int64_t* strides;
/*! \brief The offset in bytes to the beginning pointer to data */
uint64_t byte_offset;
} DLTensor;
/*!
* \brief C Tensor object, manage memory of DLTensor. This data structure is
* intended to facilitate the borrowing of DLTensor by another framework. It is
* not meant to transfer the tensor. When the borrowing framework doesn't need
* the tensor, it should call the deleter to notify the host that the resource
* is no longer needed.
*
* \note This data structure is used as Legacy DLManagedTensor
* in DLPack exchange and is deprecated after DLPack v0.8
* Use DLManagedTensorVersioned instead.
* This data structure may get renamed or deleted in future versions.
*
* \sa DLManagedTensorVersioned
*/
typedef struct DLManagedTensor {
/*! \brief DLTensor which is being memory managed */
DLTensor dl_tensor;
/*! \brief the context of the original host framework of DLManagedTensor in
* which DLManagedTensor is used in the framework. It can also be NULL.
*/
void * manager_ctx;
/*!
* \brief Destructor - this should be called
* to destruct the manager_ctx which backs the DLManagedTensor. It can be
* NULL if there is no way for the caller to provide a reasonable destructor.
* The destructor deletes the argument self as well.
*/
void (*deleter)(struct DLManagedTensor * self);
} DLManagedTensor;
// bit masks used in in the DLManagedTensorVersioned
/*! \brief bit mask to indicate that the tensor is read only. */
#define DLPACK_FLAG_BITMASK_READ_ONLY (1UL << 0UL)
/*!
* \brief bit mask to indicate that the tensor is a copy made by the producer.
*
* If set, the tensor is considered solely owned throughout its lifetime by the
* consumer, until the producer-provided deleter is invoked.
*/
#define DLPACK_FLAG_BITMASK_IS_COPIED (1UL << 1UL)
/*
* \brief bit mask to indicate that whether a sub-byte type is packed or padded.
*
* The default for sub-byte types (ex: fp4/fp6) is assumed packed. This flag can
* be set by the producer to signal that a tensor of sub-byte type is padded.
*/
#define DLPACK_FLAG_BITMASK_IS_SUBBYTE_TYPE_PADDED (1UL << 2UL)
/*!
* \brief A versioned and managed C Tensor object, manage memory of DLTensor.
*
* This data structure is intended to facilitate the borrowing of DLTensor by
* another framework. It is not meant to transfer the tensor. When the borrowing
* framework doesn't need the tensor, it should call the deleter to notify the
* host that the resource is no longer needed.
*
* \note This is the current standard DLPack exchange data structure.
*/
struct DLManagedTensorVersioned {
/*!
* \brief The API and ABI version of the current managed Tensor
*/
DLPackVersion version;
/*!
* \brief the context of the original host framework.
*
* Stores DLManagedTensorVersioned is used in the
* framework. It can also be NULL.
*/
void *manager_ctx;
/*!
* \brief Destructor.
*
* This should be called to destruct manager_ctx which holds the DLManagedTensorVersioned.
* It can be NULL if there is no way for the caller to provide a reasonable
* destructor. The destructor deletes the argument self as well.
*/
void (*deleter)(struct DLManagedTensorVersioned *self);
/*!
* \brief Additional bitmask flags information about the tensor.
*
* By default the flags should be set to 0.
*
* \note Future ABI changes should keep everything until this field
* stable, to ensure that deleter can be correctly called.
*
* \sa DLPACK_FLAG_BITMASK_READ_ONLY
* \sa DLPACK_FLAG_BITMASK_IS_COPIED
*/
uint64_t flags;
/*! \brief DLTensor which is being memory managed */
DLTensor dl_tensor;
};
#ifdef __cplusplus
} // DLPACK_EXTERN_C
#endif
#endif // DLPACK_DLPACK_H_
-44
View File
@@ -1,44 +0,0 @@
function(download_fastcv root_dir)
# Commit SHA in the opencv_3rdparty repo
set(FASTCV_COMMIT "9e8d42b6d7e769548d70b2e5674e263b056de8b4")
# Define actual FastCV versions
if(ANDROID)
if(AARCH64)
message(STATUS "Download FastCV for Android aarch64")
set(FCV_PACKAGE_NAME "fastcv_android_aarch64_2025_07_09.tgz")
set(FCV_PACKAGE_HASH "8b9497858cf3c3502a0be4369d06ebf8")
else()
message(STATUS "Download FastCV for Android armv7")
set(FCV_PACKAGE_NAME "fastcv_android_arm32_2025_07_09.tgz")
set(FCV_PACKAGE_HASH "e0e6009c9f2f2b96140cd6a639c7383f")
endif()
elseif(UNIX AND NOT APPLE AND NOT IOS AND NOT XROS)
if(AARCH64)
set(FCV_PACKAGE_NAME "fastcv_linux_aarch64_2025_07_09.tgz")
set(FCV_PACKAGE_HASH "05e254e0eb3c13fa23eb7213f0fe6d82")
else()
message("FastCV: fastcv lib for 32-bit Linux is not supported for now!")
endif()
endif(ANDROID)
# Download Package
set(OPENCV_FASTCV_URL "https://raw.githubusercontent.com/opencv/opencv_3rdparty/${FASTCV_COMMIT}/fastcv/")
ocv_download( FILENAME ${FCV_PACKAGE_NAME}
HASH ${FCV_PACKAGE_HASH}
URL ${OPENCV_FASTCV_URL}
DESTINATION_DIR ${root_dir}
ID FASTCV
STATUS res
UNPACK
RELATIVE_URL)
if(res)
set(HAVE_FASTCV TRUE CACHE BOOL "FastCV status")
else()
message(WARNING "FastCV: package download failed!")
endif()
endfunction()
-3
View File
@@ -1,3 +0,0 @@
downloads/
*.dll
ffmpeg_version.cmake
-79
View File
@@ -1,79 +0,0 @@
$url = "https://raw.githubusercontent.com/opencv/opencv_3rdparty/@FFMPEG_BINARIES_COMMIT@/ffmpeg/opencv_videoio_ffmpeg_64.dll"
$expected_md5 = "@FFMPEG_FILE_HASH_BIN64@"
$output = "$PSScriptRoot\@OPENCV_BIN_INSTALL_PATH@\opencv_videoio_ffmpeg@OPENCV_DLLVERSION@_64.dll"
Write-Output ("=" * 120)
try {
Get-content -Path "$PSScriptRoot\@OPENCV_LICENSES_INSTALL_PATH@\ffmpeg-readme.txt" -ErrorAction 'Stop'
} catch {
Write-Output "Refer to OpenCV FFmpeg wrapper readme notes about library usage / licensing details."
}
Write-Output ("=" * 120)
Write-Output ""
if(![System.IO.File]::Exists($output)) {
try {
[io.file]::OpenWrite($output).close()
} catch {
Write-Warning "Unable to write: $output"
if (!([Security.Principal.WindowsPrincipal][Security.Principal.WindowsIdentity]::GetCurrent()).IsInRole([Security.Principal.WindowsBuiltInRole] "Administrator")) {
Write-Warning "Launching with 'Administrator' elevated privileges..."
Pause
Start-Process powershell.exe "-NoProfile -ExecutionPolicy Bypass -File `"$PSCommandPath`"" -Verb RunAs
exit
} else {
Write-Output "FATAL: Unable to write with elevated privileges: $output"
Pause
exit 1
}
}
try {
Write-Output ("Downloading: " + $output)
Import-Module BitsTransfer
$start_time = Get-Date
Start-BitsTransfer -Source $url -Destination $output -ErrorAction 'Stop'
Write-Output "Downloaded in $((Get-Date).Subtract($start_time).Seconds) seconds"
} catch {
$_ # Dump error
try {
Write-Output ("Downloading (second attempt): " + $output)
$start_time = Get-Date
Invoke-WebRequest -Uri $url -OutFile $output
Write-Output "Downloaded in $((Get-Date).Subtract($start_time).Seconds) seconds"
} catch {
Write-Output ("Can't download file: " + $output)
Write-Output ("URL: " + $url)
Write-Output "You need to download this file manually. Stop"
Pause
Exit
}
}
} else {
Write-Output ("File exists: " + $output)
Write-Output ("Downloading is skipped. Remove this file and re-run this script to force downloading.")
}
if(![System.IO.File]::Exists($output)) {
Write-Output ("Destination file not found: " + $output)
Write-Output "Stop"
Pause
Exit
}
try {
$hash = Get-FileHash $output -Algorithm MD5 -ErrorAction 'Stop'
if($hash.Hash -eq $expected_md5) {
Write-Output "MD5 check passed"
} else {
Write-Output ("MD5 : " + $hash.Hash.toLower())
Write-Output ("Expected: " + $expected_md5)
Write-Output "MD5 hash mismatch"
}
} catch {
$_ # Dump error
Write-Output "Can't check MD5 hash (requires PowerShell 4+)"
}
Pause
Write-Output "Exit"
-44
View File
@@ -1,44 +0,0 @@
# Binaries branch name: ffmpeg/5.x_20260602
# Binaries were created for OpenCV: a0a660fcb1e58a295e6caa6aee64ed4d369b0181
ocv_update(FFMPEG_BINARIES_COMMIT "06dc20cad65dc7fcf784f70c95d46750520889a7")
ocv_update(FFMPEG_FILE_HASH_BIN32 "9cef7a78b6f7ec8cf1a3935c058cfac5")
ocv_update(FFMPEG_FILE_HASH_BIN64 "a821a1135251859655090c795af05789")
ocv_update(FFMPEG_FILE_HASH_CMAKE "e09efc33312d1173be8a9446f3b088fe")
function(download_win_ffmpeg script_var)
set(${script_var} "" PARENT_SCOPE)
set(ids BIN32 BIN64 CMAKE)
set(name_BIN32 "opencv_videoio_ffmpeg.dll")
set(name_BIN64 "opencv_videoio_ffmpeg_64.dll")
set(name_CMAKE "ffmpeg_version.cmake")
set(FFMPEG_DOWNLOAD_DIR "${OpenCV_BINARY_DIR}/3rdparty/ffmpeg")
set(status TRUE)
foreach(id ${ids})
ocv_download(FILENAME ${name_${id}}
HASH ${FFMPEG_FILE_HASH_${id}}
URL
"$ENV{OPENCV_FFMPEG_URL}"
"${OPENCV_FFMPEG_URL}"
"https://raw.githubusercontent.com/opencv/opencv_3rdparty/${FFMPEG_BINARIES_COMMIT}/ffmpeg/"
DESTINATION_DIR ${FFMPEG_DOWNLOAD_DIR}
ID FFMPEG
RELATIVE_URL
STATUS res)
if(NOT res)
set(status FALSE)
endif()
endforeach()
if(status)
set(${script_var} "${FFMPEG_DOWNLOAD_DIR}/ffmpeg_version.cmake" PARENT_SCOPE)
endif()
endfunction()
if(OPENCV_INSTALL_FFMPEG_DOWNLOAD_SCRIPT)
configure_file("${CMAKE_CURRENT_LIST_DIR}/ffmpeg-download.ps1.in" "${CMAKE_BINARY_DIR}/win-install/ffmpeg-download.ps1" @ONLY)
install(FILES "${CMAKE_BINARY_DIR}/win-install/ffmpeg-download.ps1" DESTINATION "." COMPONENT libs)
endif()
ocv_install_3rdparty_licenses(ffmpeg license.txt readme.txt)
+11
View File
@@ -0,0 +1,11 @@
set(FFMPEG_libavcodec_FOUND 1)
set(FFMPEG_libavformat_FOUND 1)
set(FFMPEG_libavutil_FOUND 1)
set(FFMPEG_libswscale_FOUND 1)
set(FFMPEG_libavresample_FOUND 1)
set(FFMPEG_libavcodec_VERSION 55.18.102)
set(FFMPEG_libavformat_VERSION 55.12.100)
set(FFMPEG_libavutil_VERSION 52.38.100)
set(FFMPEG_libswscale_VERSION 2.3.100)
set(FFMPEG_libavresample_VERSION 1.0.1)
+1
View File
@@ -0,0 +1 @@
#include "cap_ffmpeg_impl.hpp"
-520
View File
@@ -1,520 +0,0 @@
Copyright (C) 2001 Fabrice Bellard
FFmpeg is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
FFmpeg is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with FFmpeg; if not, write to the Free Software
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
==================================================================================
GNU LESSER GENERAL PUBLIC LICENSE
Version 2.1, February 1999
Copyright (C) 1991, 1999 Free Software Foundation, Inc.
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
Everyone is permitted to copy and distribute verbatim copies
of this license document, but changing it is not allowed.
[This is the first released version of the Lesser GPL. It also counts
as the successor of the GNU Library Public License, version 2, hence
the version number 2.1.]
Preamble
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<signature of Ty Coon>, 1 April 1990
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That's all there is to it!
+2
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@@ -0,0 +1,2 @@
set path=c:\dev\msys32\bin;%path% & gcc -Wall -shared -o opencv_ffmpeg.dll -O2 -x c++ -I../include -I../include/ffmpeg_ -I../../modules/highgui/src ffopencv.c -L../lib -lavformat -lavcodec -lavdevice -lswscale -lavutil -lws2_32
set path=c:\dev\msys64\bin;%path% & gcc -m64 -Wall -shared -o opencv_ffmpeg_64.dll -O2 -x c++ -I../include -I../include/ffmpeg_ -I../../modules/highgui/src ffopencv.c -L../lib -lavformat64 -lavcodec64 -lavdevice64 -lswscale64 -lavutil64 -lws2_32
Binary file not shown.
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+35 -30
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@@ -1,37 +1,42 @@
* On Linux and other Unix flavors OpenCV uses default or user-built ffmpeg/libav libraries.
If user builds ffmpeg/libav from source and wants OpenCV to stay BSD library, not GPL/LGPL,
he/she should use --enabled-shared configure flag and make sure that no GPL components are
enabled (some notable examples are x264 (H264 encoder) and libac3 (Dolby AC3 audio codec)).
See https://www.ffmpeg.org/legal.html for details.
The build script is to be fixed.
Right now it assumes that 32-bit MinGW is in the system path and
64-bit mingw is installed to c:\Apps\MinGW64.
If you want to play very safe and do not want to use FFMPEG at all, regardless of whether it's installed on
your system or not, configure and build OpenCV using CMake with WITH_FFMPEG=OFF flag. OpenCV will then use
AVFoundation (OSX), GStreamer (Linux) or other available backends supported by opencv_videoio module.
It is important that gcc is used, not g++!
Otherwise the produced DLL will likely be dependent on libgcc_s_dw2-1.dll or similar DLL.
While we want to make the DLLs with minimum dependencies: Win32 libraries + msvcrt.dll.
There is also our self-contained motion jpeg codec, which you can use without any worries.
It handles CV_FOURCC('M', 'J', 'P', 'G') streams within an AVI container (".avi").
ffopencv.c is really a C++ source, hence -x c++ is used.
* On Windows OpenCV uses pre-built ffmpeg binaries, built with proper flags (without GPL components) and
wrapped with simple, stable OpenCV-compatible API.
The binaries are opencv_videoio_ffmpeg.dll (version for 32-bit Windows) and
opencv_videoio_ffmpeg_64.dll (version for 64-bit Windows).
How to update opencv_ffmpeg.dll and opencv_ffmpeg_64.dll when a new version of FFMPEG is release?
The pre-built opencv_videoio_ffmpeg*.dll is:
* LGPL library, not BSD libraries.
* Loaded at runtime by opencv_videoio module.
If it succeeds, ffmpeg can be used to decode/encode videos;
otherwise, other API is used.
1. Install 32-bit MinGW + MSYS from
http://sourceforge.net/projects/mingw/files/Automated%20MinGW%20Installer/mingw-get-inst/
Let's assume, it's installed in C:\MSYS32.
2. Install 64-bit MinGW. http://mingw-w64.sourceforge.net/
Let's assume, it's installed in C:\MSYS64
3. Copy C:\MSYS32\msys to C:\MSYS64\msys. Edit C:\MSYS64\msys\etc\fstab, change C:\MSYS32 to C:\MSYS64.
FFMPEG build includes support for H264 encoder based on the OpenH264 library.
OpenH264 Video Codec provided by Cisco Systems, Inc.
See https://github.com/cisco/openh264/releases for details and OpenH264 license.
OpenH264 library should be installed separatelly. Downloaded binary file can be placed into global system path
(System32 or SysWOW64) or near application binaries (check documentation of "LoadLibrary" Win32 function from MSDN).
Or you can specify location of binary file via OPENH264_LIBRARY environment variable.
4. Now you have working MSYS32 and MSYS64 environments.
Launch, one by one, C:\MSYS32\msys\msys.bat and C:\MSYS64\msys\msys.bat to create your home directories.
If LGPL/GPL software can not be supplied with your OpenCV-based product, simply exclude
opencv_videoio_ffmpeg*.dll from your distribution; OpenCV will stay fully functional except for the ability to
decode/encode videos using FFMPEG (though, it may still be able to do that using other API,
such as Video for Windows, Windows Media Foundation or our self-contained motion jpeg codec).
4. Download ffmpeg-x.y.z.tar.gz (where x.y.z denotes the actual ffmpeg version).
Copy it to C:\MSYS{32|64}\msys\home\<loginname> directory.
See license.txt for the FFMPEG copyright notice and the licensing terms.
5. To build 32-bit ffmpeg libraries, run C:\MSYS32\msys\msys.bat and type the following commands:
5.1. tar -xzf ffmpeg-x.y.z.tar.gz
5.2. mkdir build
5.3. cd build
5.4. ../ffmpeg-x.y.z/configure --enable-w32threads
5.5. make
5.6. make install
5.7. cd /local/lib
5.8. strip -g *.a
6. Then repeat the same for 64-bit case. The output libs: libavcodec.a etc. need to be renamed to libavcodec64.a etc.
7. Then, copy all those libs to <opencv>\3rdparty\lib\, copy the headers to <opencv>\3rdparty\include\ffmpeg_.
8. Then, go to <opencv>\3rdparty\ffmpeg, edit make.bat
(change paths to the actual paths to your msys32 and msys64 distributions) and then run make.bat
-202
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@@ -1,202 +0,0 @@
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See the License for the specific language governing permissions and
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-1
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@@ -1 +0,0 @@
Origin: https://github.com/google/flatbuffers/tree/v25.9.23
-68
View File
@@ -1,68 +0,0 @@
/*
* Copyright 2021 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_ALLOCATOR_H_
#define FLATBUFFERS_ALLOCATOR_H_
#include "flatbuffers/base.h"
namespace flatbuffers {
// Allocator interface. This is flatbuffers-specific and meant only for
// `vector_downward` usage.
class Allocator {
public:
virtual ~Allocator() {}
// Allocate `size` bytes of memory.
virtual uint8_t* allocate(size_t size) = 0;
// Deallocate `size` bytes of memory at `p` allocated by this allocator.
virtual void deallocate(uint8_t* p, size_t size) = 0;
// Reallocate `new_size` bytes of memory, replacing the old region of size
// `old_size` at `p`. In contrast to a normal realloc, this grows downwards,
// and is intended specifcally for `vector_downward` use.
// `in_use_back` and `in_use_front` indicate how much of `old_size` is
// actually in use at each end, and needs to be copied.
virtual uint8_t* reallocate_downward(uint8_t* old_p, size_t old_size,
size_t new_size, size_t in_use_back,
size_t in_use_front) {
FLATBUFFERS_ASSERT(new_size > old_size); // vector_downward only grows
uint8_t* new_p = allocate(new_size);
memcpy_downward(old_p, old_size, new_p, new_size, in_use_back,
in_use_front);
deallocate(old_p, old_size);
return new_p;
}
protected:
// Called by `reallocate_downward` to copy memory from `old_p` of `old_size`
// to `new_p` of `new_size`. Only memory of size `in_use_front` and
// `in_use_back` will be copied from the front and back of the old memory
// allocation.
void memcpy_downward(uint8_t* old_p, size_t old_size, uint8_t* new_p,
size_t new_size, size_t in_use_back,
size_t in_use_front) {
memcpy(new_p + new_size - in_use_back, old_p + old_size - in_use_back,
in_use_back);
memcpy(new_p, old_p, in_use_front);
}
};
} // namespace flatbuffers
#endif // FLATBUFFERS_ALLOCATOR_H_
-257
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@@ -1,257 +0,0 @@
/*
* Copyright 2021 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_ARRAY_H_
#define FLATBUFFERS_ARRAY_H_
#include <cstdint>
#include <memory>
#include "flatbuffers/base.h"
#include "flatbuffers/stl_emulation.h"
#include "flatbuffers/vector.h"
namespace flatbuffers {
// This is used as a helper type for accessing arrays.
template <typename T, uint16_t length>
class Array {
// Array<T> can carry only POD data types (scalars or structs).
typedef typename flatbuffers::bool_constant<flatbuffers::is_scalar<T>::value>
scalar_tag;
public:
typedef uint16_t size_type;
typedef typename IndirectHelper<T>::return_type return_type;
typedef VectorConstIterator<T, return_type, uoffset_t> const_iterator;
typedef VectorReverseIterator<const_iterator> const_reverse_iterator;
// If T is a LE-scalar or a struct (!scalar_tag::value).
static FLATBUFFERS_CONSTEXPR bool is_span_observable =
(scalar_tag::value && (FLATBUFFERS_LITTLEENDIAN || sizeof(T) == 1)) ||
!scalar_tag::value;
FLATBUFFERS_CONSTEXPR uint16_t size() const { return length; }
return_type Get(uoffset_t i) const {
FLATBUFFERS_ASSERT(i < size());
return IndirectHelper<T>::Read(Data(), i);
}
return_type operator[](uoffset_t i) const { return Get(i); }
// If this is a Vector of enums, T will be its storage type, not the enum
// type. This function makes it convenient to retrieve value with enum
// type E.
template <typename E>
E GetEnum(uoffset_t i) const {
return static_cast<E>(Get(i));
}
const_iterator begin() const { return const_iterator(Data(), 0); }
const_iterator end() const { return const_iterator(Data(), size()); }
const_reverse_iterator rbegin() const {
return const_reverse_iterator(end());
}
const_reverse_iterator rend() const {
return const_reverse_iterator(begin());
}
const_iterator cbegin() const { return begin(); }
const_iterator cend() const { return end(); }
const_reverse_iterator crbegin() const { return rbegin(); }
const_reverse_iterator crend() const { return rend(); }
// Get a mutable pointer to elements inside this array.
// This method used to mutate arrays of structs followed by a @p Mutate
// operation. For primitive types use @p Mutate directly.
// @warning Assignments and reads to/from the dereferenced pointer are not
// automatically converted to the correct endianness.
typename flatbuffers::conditional<scalar_tag::value, void, T*>::type
GetMutablePointer(uoffset_t i) const {
FLATBUFFERS_ASSERT(i < size());
return const_cast<T*>(&data()[i]);
}
// Change elements if you have a non-const pointer to this object.
void Mutate(uoffset_t i, const T& val) { MutateImpl(scalar_tag(), i, val); }
// The raw data in little endian format. Use with care.
const uint8_t* Data() const { return data_; }
uint8_t* Data() { return data_; }
// Similarly, but typed, much like std::vector::data
const T* data() const { return reinterpret_cast<const T*>(Data()); }
T* data() { return reinterpret_cast<T*>(Data()); }
// Copy data from a span with endian conversion.
// If this Array and the span overlap, the behavior is undefined.
void CopyFromSpan(flatbuffers::span<const T, length> src) {
const auto p1 = reinterpret_cast<const uint8_t*>(src.data());
const auto p2 = Data();
FLATBUFFERS_ASSERT(!(p1 >= p2 && p1 < (p2 + length)) &&
!(p2 >= p1 && p2 < (p1 + length)));
(void)p1;
(void)p2;
CopyFromSpanImpl(flatbuffers::bool_constant<is_span_observable>(), src);
}
protected:
void MutateImpl(flatbuffers::true_type, uoffset_t i, const T& val) {
FLATBUFFERS_ASSERT(i < size());
WriteScalar(data() + i, val);
}
void MutateImpl(flatbuffers::false_type, uoffset_t i, const T& val) {
*(GetMutablePointer(i)) = val;
}
void CopyFromSpanImpl(flatbuffers::true_type,
flatbuffers::span<const T, length> src) {
// Use std::memcpy() instead of std::copy() to avoid performance degradation
// due to aliasing if T is char or unsigned char.
// The size is known at compile time, so memcpy would be inlined.
std::memcpy(data(), src.data(), length * sizeof(T));
}
// Copy data from flatbuffers::span with endian conversion.
void CopyFromSpanImpl(flatbuffers::false_type,
flatbuffers::span<const T, length> src) {
for (size_type k = 0; k < length; k++) {
Mutate(k, src[k]);
}
}
// This class is only used to access pre-existing data. Don't ever
// try to construct these manually.
// 'constexpr' allows us to use 'size()' at compile time.
// @note Must not use 'FLATBUFFERS_CONSTEXPR' here, as const is not allowed on
// a constructor.
#if defined(__cpp_constexpr)
constexpr Array();
#else
Array();
#endif
uint8_t data_[length * sizeof(T)];
private:
// This class is a pointer. Copying will therefore create an invalid object.
// Private and unimplemented copy constructor.
Array(const Array&);
Array& operator=(const Array&);
};
// Specialization for Array[struct] with access using Offset<void> pointer.
// This specialization used by idl_gen_text.cpp.
template <typename T, uint16_t length, template <typename> class OffsetT>
class Array<OffsetT<T>, length> {
static_assert(flatbuffers::is_same<T, void>::value, "unexpected type T");
public:
typedef const void* return_type;
typedef uint16_t size_type;
const uint8_t* Data() const { return data_; }
// Make idl_gen_text.cpp::PrintContainer happy.
return_type operator[](uoffset_t) const {
FLATBUFFERS_ASSERT(false);
return nullptr;
}
private:
// This class is only used to access pre-existing data.
Array();
Array(const Array&);
Array& operator=(const Array&);
uint8_t data_[1];
};
template <class U, uint16_t N>
FLATBUFFERS_CONSTEXPR_CPP11 flatbuffers::span<U, N> make_span(Array<U, N>& arr)
FLATBUFFERS_NOEXCEPT {
static_assert(
Array<U, N>::is_span_observable,
"wrong type U, only plain struct, LE-scalar, or byte types are allowed");
return span<U, N>(arr.data(), N);
}
template <class U, uint16_t N>
FLATBUFFERS_CONSTEXPR_CPP11 flatbuffers::span<const U, N> make_span(
const Array<U, N>& arr) FLATBUFFERS_NOEXCEPT {
static_assert(
Array<U, N>::is_span_observable,
"wrong type U, only plain struct, LE-scalar, or byte types are allowed");
return span<const U, N>(arr.data(), N);
}
template <class U, uint16_t N>
FLATBUFFERS_CONSTEXPR_CPP11 flatbuffers::span<uint8_t, sizeof(U) * N>
make_bytes_span(Array<U, N>& arr) FLATBUFFERS_NOEXCEPT {
static_assert(Array<U, N>::is_span_observable,
"internal error, Array<T> might hold only scalars or structs");
return span<uint8_t, sizeof(U) * N>(arr.Data(), sizeof(U) * N);
}
template <class U, uint16_t N>
FLATBUFFERS_CONSTEXPR_CPP11 flatbuffers::span<const uint8_t, sizeof(U) * N>
make_bytes_span(const Array<U, N>& arr) FLATBUFFERS_NOEXCEPT {
static_assert(Array<U, N>::is_span_observable,
"internal error, Array<T> might hold only scalars or structs");
return span<const uint8_t, sizeof(U) * N>(arr.Data(), sizeof(U) * N);
}
// Cast a raw T[length] to a raw flatbuffers::Array<T, length>
// without endian conversion. Use with care.
// TODO: move these Cast-methods to `internal` namespace.
template <typename T, uint16_t length>
Array<T, length>& CastToArray(T (&arr)[length]) {
return *reinterpret_cast<Array<T, length>*>(arr);
}
template <typename T, uint16_t length>
const Array<T, length>& CastToArray(const T (&arr)[length]) {
return *reinterpret_cast<const Array<T, length>*>(arr);
}
template <typename E, typename T, uint16_t length>
Array<E, length>& CastToArrayOfEnum(T (&arr)[length]) {
static_assert(sizeof(E) == sizeof(T), "invalid enum type E");
return *reinterpret_cast<Array<E, length>*>(arr);
}
template <typename E, typename T, uint16_t length>
const Array<E, length>& CastToArrayOfEnum(const T (&arr)[length]) {
static_assert(sizeof(E) == sizeof(T), "invalid enum type E");
return *reinterpret_cast<const Array<E, length>*>(arr);
}
template <typename T, uint16_t length>
bool operator==(const Array<T, length>& lhs,
const Array<T, length>& rhs) noexcept {
return std::addressof(lhs) == std::addressof(rhs) ||
(lhs.size() == rhs.size() &&
std::memcmp(lhs.Data(), rhs.Data(), rhs.size() * sizeof(T)) == 0);
}
} // namespace flatbuffers
#endif // FLATBUFFERS_ARRAY_H_
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@@ -1,503 +0,0 @@
#ifndef FLATBUFFERS_BASE_H_
#define FLATBUFFERS_BASE_H_
// clang-format off
// If activate should be declared and included first.
#if defined(FLATBUFFERS_MEMORY_LEAK_TRACKING) && \
defined(_MSC_VER) && defined(_DEBUG)
// The _CRTDBG_MAP_ALLOC inside <crtdbg.h> will replace
// calloc/free (etc) to its debug version using #define directives.
#define _CRTDBG_MAP_ALLOC
#include <stdlib.h>
#include <crtdbg.h>
// Replace operator new by trace-enabled version.
#define DEBUG_NEW new(_NORMAL_BLOCK, __FILE__, __LINE__)
#define new DEBUG_NEW
#endif
#if !defined(FLATBUFFERS_ASSERT)
#include <assert.h>
#define FLATBUFFERS_ASSERT assert
#elif defined(FLATBUFFERS_ASSERT_INCLUDE)
// Include file with forward declaration
#include FLATBUFFERS_ASSERT_INCLUDE
#endif
#ifndef ARDUINO
#include <cstdint>
#endif
#include <cstddef>
#include <cstdlib>
#include <cstring>
#if defined(ARDUINO) && !defined(ARDUINOSTL_M_H) && defined(__AVR__)
#include <utility.h>
#else
#include <utility>
#endif
#include <string>
#include <type_traits>
#include <vector>
#include <set>
#include <algorithm>
#include <limits>
#include <iterator>
#include <memory>
#if defined(__unix__) && !defined(FLATBUFFERS_LOCALE_INDEPENDENT)
#include <unistd.h>
#endif
#ifdef __ANDROID__
#include <android/api-level.h>
#endif
#if defined(__ICCARM__)
#include <intrinsics.h>
#endif
// Note the __clang__ check is needed, because clang presents itself
// as an older GNUC compiler (4.2).
// Clang 3.3 and later implement all of the ISO C++ 2011 standard.
// Clang 3.4 and later implement all of the ISO C++ 2014 standard.
// http://clang.llvm.org/cxx_status.html
// Note the MSVC value '__cplusplus' may be incorrect:
// The '__cplusplus' predefined macro in the MSVC stuck at the value 199711L,
// indicating (erroneously!) that the compiler conformed to the C++98 Standard.
// This value should be correct starting from MSVC2017-15.7-Preview-3.
// The '__cplusplus' will be valid only if MSVC2017-15.7-P3 and the `/Zc:__cplusplus` switch is set.
// Workaround (for details see MSDN):
// Use the _MSC_VER and _MSVC_LANG definition instead of the __cplusplus for compatibility.
// The _MSVC_LANG macro reports the Standard version regardless of the '/Zc:__cplusplus' switch.
#if defined(__GNUC__) && !defined(__clang__)
#define FLATBUFFERS_GCC (__GNUC__ * 10000 + __GNUC_MINOR__ * 100 + __GNUC_PATCHLEVEL__)
#else
#define FLATBUFFERS_GCC 0
#endif
#if defined(__clang__)
#define FLATBUFFERS_CLANG (__clang_major__ * 10000 + __clang_minor__ * 100 + __clang_patchlevel__)
#else
#define FLATBUFFERS_CLANG 0
#endif
/// @cond FLATBUFFERS_INTERNAL
#if __cplusplus <= 199711L && \
(!defined(_MSC_VER) || _MSC_VER < 1600) && \
(!defined(__GNUC__) || \
(__GNUC__ * 10000 + __GNUC_MINOR__ * 100 + __GNUC_PATCHLEVEL__ < 40400))
#error A C++11 compatible compiler with support for the auto typing is \
required for FlatBuffers.
#error __cplusplus _MSC_VER __GNUC__ __GNUC_MINOR__ __GNUC_PATCHLEVEL__
#endif
#if !defined(__clang__) && \
defined(__GNUC__) && \
(__GNUC__ * 10000 + __GNUC_MINOR__ * 100 + __GNUC_PATCHLEVEL__ < 40600)
// Backwards compatibility for g++ 4.4, and 4.5 which don't have the nullptr
// and constexpr keywords. Note the __clang__ check is needed, because clang
// presents itself as an older GNUC compiler.
#ifndef nullptr_t
const class nullptr_t {
public:
template<class T> inline operator T*() const { return 0; }
private:
void operator&() const;
} nullptr = {};
#endif
#ifndef constexpr
#define constexpr const
#endif
#endif
// The wire format uses a little endian encoding (since that's efficient for
// the common platforms).
#if defined(__s390x__)
#define FLATBUFFERS_LITTLEENDIAN 0
#endif // __s390x__
#if !defined(FLATBUFFERS_LITTLEENDIAN)
#if defined(__GNUC__) || defined(__clang__) || defined(__ICCARM__)
#if (defined(__BIG_ENDIAN__) || \
(defined(__BYTE_ORDER__) && __BYTE_ORDER__ == __ORDER_BIG_ENDIAN__))
#define FLATBUFFERS_LITTLEENDIAN 0
#else
#define FLATBUFFERS_LITTLEENDIAN 1
#endif // __BIG_ENDIAN__
#elif defined(_MSC_VER)
#if defined(_M_PPC)
#define FLATBUFFERS_LITTLEENDIAN 0
#else
#define FLATBUFFERS_LITTLEENDIAN 1
#endif
#else
#error Unable to determine endianness, define FLATBUFFERS_LITTLEENDIAN.
#endif
#endif // !defined(FLATBUFFERS_LITTLEENDIAN)
#define FLATBUFFERS_VERSION_MAJOR 25
#define FLATBUFFERS_VERSION_MINOR 9
#define FLATBUFFERS_VERSION_REVISION 23
#define FLATBUFFERS_STRING_EXPAND(X) #X
#define FLATBUFFERS_STRING(X) FLATBUFFERS_STRING_EXPAND(X)
namespace flatbuffers {
// Returns version as string "MAJOR.MINOR.REVISION".
const char* FLATBUFFERS_VERSION();
}
#if (!defined(_MSC_VER) || _MSC_VER > 1600) && \
(!defined(__GNUC__) || (__GNUC__ * 100 + __GNUC_MINOR__ >= 407)) || \
defined(__clang__)
#define FLATBUFFERS_FINAL_CLASS final
#define FLATBUFFERS_OVERRIDE override
#define FLATBUFFERS_EXPLICIT_CPP11 explicit
#define FLATBUFFERS_VTABLE_UNDERLYING_TYPE : ::flatbuffers::voffset_t
#else
#define FLATBUFFERS_FINAL_CLASS
#define FLATBUFFERS_OVERRIDE
#define FLATBUFFERS_EXPLICIT_CPP11
#define FLATBUFFERS_VTABLE_UNDERLYING_TYPE
#endif
#if (!defined(_MSC_VER) || _MSC_VER >= 1900) && \
(!defined(__GNUC__) || (__GNUC__ * 100 + __GNUC_MINOR__ >= 406)) || \
(defined(__cpp_constexpr) && __cpp_constexpr >= 200704)
#define FLATBUFFERS_CONSTEXPR constexpr
#define FLATBUFFERS_CONSTEXPR_CPP11 constexpr
#define FLATBUFFERS_CONSTEXPR_DEFINED
#else
#define FLATBUFFERS_CONSTEXPR const
#define FLATBUFFERS_CONSTEXPR_CPP11
#endif
#if (defined(__cplusplus) && __cplusplus >= 201402L) || \
(defined(__cpp_constexpr) && __cpp_constexpr >= 201304)
#define FLATBUFFERS_CONSTEXPR_CPP14 FLATBUFFERS_CONSTEXPR_CPP11
#else
#define FLATBUFFERS_CONSTEXPR_CPP14
#endif
#if (defined(__GXX_EXPERIMENTAL_CXX0X__) && (__GNUC__ * 100 + __GNUC_MINOR__ >= 406)) || \
(defined(_MSC_FULL_VER) && (_MSC_FULL_VER >= 190023026)) || \
defined(__clang__)
#define FLATBUFFERS_NOEXCEPT noexcept
#else
#define FLATBUFFERS_NOEXCEPT
#endif
// NOTE: the FLATBUFFERS_DELETE_FUNC macro may change the access mode to
// private, so be sure to put it at the end or reset access mode explicitly.
#if (!defined(_MSC_VER) || _MSC_FULL_VER >= 180020827) && \
(!defined(__GNUC__) || (__GNUC__ * 100 + __GNUC_MINOR__ >= 404)) || \
defined(__clang__)
#define FLATBUFFERS_DELETE_FUNC(func) func = delete
#else
#define FLATBUFFERS_DELETE_FUNC(func) private: func
#endif
#if (!defined(_MSC_VER) || _MSC_VER >= 1900) && \
(!defined(__GNUC__) || (__GNUC__ * 100 + __GNUC_MINOR__ >= 409)) || \
defined(__clang__)
#define FLATBUFFERS_DEFAULT_DECLARATION
#endif
// Check if we can use template aliases
// Not possible if Microsoft Compiler before 2012
// Possible is the language feature __cpp_alias_templates is defined well
// Or possible if the C++ std is C+11 or newer
#if (defined(_MSC_VER) && _MSC_VER > 1700 /* MSVC2012 */) \
|| (defined(__cpp_alias_templates) && __cpp_alias_templates >= 200704) \
|| (defined(__cplusplus) && __cplusplus >= 201103L)
#define FLATBUFFERS_TEMPLATES_ALIASES
#endif
#ifndef FLATBUFFERS_HAS_STRING_VIEW
// Only provide flatbuffers::string_view if __has_include can be used
// to detect a header that provides an implementation
#if defined(__has_include)
// Check for std::string_view (in c++17)
#if __has_include(<string_view>) && (__cplusplus >= 201606 || (defined(_HAS_CXX17) && _HAS_CXX17))
#include <string_view>
namespace flatbuffers {
typedef std::string_view string_view;
}
#define FLATBUFFERS_HAS_STRING_VIEW 1
// Check for std::experimental::string_view (in c++14, compiler-dependent)
#elif __has_include(<experimental/string_view>) && (__cplusplus >= 201411)
#include <experimental/string_view>
namespace flatbuffers {
typedef std::experimental::string_view string_view;
}
#define FLATBUFFERS_HAS_STRING_VIEW 1
// Check for absl::string_view
#elif __has_include("absl/strings/string_view.h") && \
__has_include("absl/base/config.h") && \
(__cplusplus >= 201411)
#include "absl/base/config.h"
#if !defined(ABSL_USES_STD_STRING_VIEW)
#include "absl/strings/string_view.h"
namespace flatbuffers {
typedef absl::string_view string_view;
}
#define FLATBUFFERS_HAS_STRING_VIEW 1
#endif
#endif
#endif // __has_include
#endif // !FLATBUFFERS_HAS_STRING_VIEW
#ifndef FLATBUFFERS_GENERAL_HEAP_ALLOC_OK
// Allow heap allocations to be used
#define FLATBUFFERS_GENERAL_HEAP_ALLOC_OK 1
#endif // !FLATBUFFERS_GENERAL_HEAP_ALLOC_OK
#ifndef FLATBUFFERS_HAS_NEW_STRTOD
// Modern (C++11) strtod and strtof functions are available for use.
// 1) nan/inf strings as argument of strtod;
// 2) hex-float as argument of strtod/strtof.
#if (defined(_MSC_VER) && _MSC_VER >= 1900) || \
(defined(__GNUC__) && (__GNUC__ * 100 + __GNUC_MINOR__ >= 409)) || \
(defined(__clang__))
#define FLATBUFFERS_HAS_NEW_STRTOD 1
#endif
#endif // !FLATBUFFERS_HAS_NEW_STRTOD
#ifndef FLATBUFFERS_LOCALE_INDEPENDENT
// Enable locale independent functions {strtof_l, strtod_l,strtoll_l,
// strtoull_l}.
#if (defined(_MSC_VER) && _MSC_VER >= 1800) || \
(defined(__ANDROID_API__) && __ANDROID_API__>= 21) || \
(defined(_XOPEN_VERSION) && (_XOPEN_VERSION >= 700)) && \
(!defined(__Fuchsia__) && !defined(__ANDROID_API__))
#define FLATBUFFERS_LOCALE_INDEPENDENT 1
#else
#define FLATBUFFERS_LOCALE_INDEPENDENT 0
#endif
#endif // !FLATBUFFERS_LOCALE_INDEPENDENT
// Suppress Undefined Behavior Sanitizer (recoverable only). Usage:
// - FLATBUFFERS_SUPPRESS_UBSAN("undefined")
// - FLATBUFFERS_SUPPRESS_UBSAN("signed-integer-overflow")
#if defined(__clang__) && (__clang_major__ > 3 || (__clang_major__ == 3 && __clang_minor__ >=7))
#define FLATBUFFERS_SUPPRESS_UBSAN(type) __attribute__((no_sanitize(type)))
#elif defined(__GNUC__) && (__GNUC__ * 100 + __GNUC_MINOR__ >= 409)
#define FLATBUFFERS_SUPPRESS_UBSAN(type) __attribute__((no_sanitize_undefined))
#else
#define FLATBUFFERS_SUPPRESS_UBSAN(type)
#endif
namespace flatbuffers {
// This is constexpr function used for checking compile-time constants.
// Avoid `#pragma warning(disable: 4127) // C4127: expression is constant`.
template<typename T> FLATBUFFERS_CONSTEXPR inline bool IsConstTrue(T t) {
return !!t;
}
}
// Enable C++ attribute [[]] if std:c++17 or higher.
#if ((__cplusplus >= 201703L) \
|| (defined(_MSVC_LANG) && (_MSVC_LANG >= 201703L)))
// All attributes unknown to an implementation are ignored without causing an error.
#define FLATBUFFERS_ATTRIBUTE(attr) attr
#define FLATBUFFERS_FALLTHROUGH() [[fallthrough]]
#else
#define FLATBUFFERS_ATTRIBUTE(attr)
#if FLATBUFFERS_CLANG >= 30800
#define FLATBUFFERS_FALLTHROUGH() [[clang::fallthrough]]
#elif FLATBUFFERS_GCC >= 70300
#define FLATBUFFERS_FALLTHROUGH() [[gnu::fallthrough]]
#else
#define FLATBUFFERS_FALLTHROUGH()
#endif
#endif
/// @endcond
/// @file
namespace flatbuffers {
/// @cond FLATBUFFERS_INTERNAL
// Our default offset / size type, 32bit on purpose on 64bit systems.
// Also, using a consistent offset type maintains compatibility of serialized
// offset values between 32bit and 64bit systems.
typedef uint32_t uoffset_t;
typedef uint64_t uoffset64_t;
// Signed offsets for references that can go in both directions.
typedef int32_t soffset_t;
typedef int64_t soffset64_t;
// Offset/index used in v-tables, can be changed to uint8_t in
// format forks to save a bit of space if desired.
typedef uint16_t voffset_t;
typedef uintmax_t largest_scalar_t;
// In 32bits, this evaluates to 2GB - 1
#define FLATBUFFERS_MAX_BUFFER_SIZE (std::numeric_limits<::flatbuffers::soffset_t>::max)()
#define FLATBUFFERS_MAX_64_BUFFER_SIZE (std::numeric_limits<::flatbuffers::soffset64_t>::max)()
// The minimum size buffer that can be a valid flatbuffer.
// Includes the offset to the root table (uoffset_t), the offset to the vtable
// of the root table (soffset_t), the size of the vtable (uint16_t), and the
// size of the referring table (uint16_t).
#define FLATBUFFERS_MIN_BUFFER_SIZE sizeof(::flatbuffers::uoffset_t) + \
sizeof(::flatbuffers::soffset_t) + sizeof(uint16_t) + sizeof(uint16_t)
// We support aligning the contents of buffers up to this size.
#ifndef FLATBUFFERS_MAX_ALIGNMENT
#define FLATBUFFERS_MAX_ALIGNMENT 32
#endif
/// @brief The length of a FlatBuffer file header.
static const size_t kFileIdentifierLength = 4;
inline bool VerifyAlignmentRequirements(size_t align, size_t min_align = 1) {
return (min_align <= align) && (align <= (FLATBUFFERS_MAX_ALIGNMENT)) &&
(align & (align - 1)) == 0; // must be power of 2
}
#if defined(_MSC_VER)
#pragma warning(push)
#pragma warning(disable: 4127) // C4127: conditional expression is constant
#endif
template<typename T> T EndianSwap(T t) {
#if defined(_MSC_VER)
#define FLATBUFFERS_BYTESWAP16 _byteswap_ushort
#define FLATBUFFERS_BYTESWAP32 _byteswap_ulong
#define FLATBUFFERS_BYTESWAP64 _byteswap_uint64
#elif defined(__ICCARM__)
#define FLATBUFFERS_BYTESWAP16 __REV16
#define FLATBUFFERS_BYTESWAP32 __REV
#define FLATBUFFERS_BYTESWAP64(x) \
((__REV(static_cast<uint32_t>(x >> 32U))) | (static_cast<uint64_t>(__REV(static_cast<uint32_t>(x)))) << 32U)
#else
#if defined(__GNUC__) && __GNUC__ * 100 + __GNUC_MINOR__ < 408 && !defined(__clang__)
// __builtin_bswap16 was missing prior to GCC 4.8.
#define FLATBUFFERS_BYTESWAP16(x) \
static_cast<uint16_t>(__builtin_bswap32(static_cast<uint32_t>(x) << 16))
#else
#define FLATBUFFERS_BYTESWAP16 __builtin_bswap16
#endif
#define FLATBUFFERS_BYTESWAP32 __builtin_bswap32
#define FLATBUFFERS_BYTESWAP64 __builtin_bswap64
#endif
if (sizeof(T) == 1) { // Compile-time if-then's.
return t;
} else if (sizeof(T) == 2) {
union { T t; uint16_t i; } u = { t };
u.i = FLATBUFFERS_BYTESWAP16(u.i);
return u.t;
} else if (sizeof(T) == 4) {
union { T t; uint32_t i; } u = { t };
u.i = FLATBUFFERS_BYTESWAP32(u.i);
return u.t;
} else if (sizeof(T) == 8) {
union { T t; uint64_t i; } u = { t };
u.i = FLATBUFFERS_BYTESWAP64(u.i);
return u.t;
} else {
FLATBUFFERS_ASSERT(0);
return t;
}
}
#if defined(_MSC_VER)
#pragma warning(pop)
#endif
template<typename T> T EndianScalar(T t) {
#if FLATBUFFERS_LITTLEENDIAN
return t;
#else
return EndianSwap(t);
#endif
}
template<typename T>
// UBSAN: C++ aliasing type rules, see std::bit_cast<> for details.
FLATBUFFERS_SUPPRESS_UBSAN("alignment")
T ReadScalar(const void *p) {
return EndianScalar(*reinterpret_cast<const T *>(p));
}
// See https://github.com/google/flatbuffers/issues/5950
#if (FLATBUFFERS_GCC >= 100000) && (FLATBUFFERS_GCC < 110000)
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wstringop-overflow"
#endif
template<typename T>
// UBSAN: C++ aliasing type rules, see std::bit_cast<> for details.
FLATBUFFERS_SUPPRESS_UBSAN("alignment")
void WriteScalar(void *p, T t) {
*reinterpret_cast<T *>(p) = EndianScalar(t);
}
template<typename T> struct Offset;
template<typename T> FLATBUFFERS_SUPPRESS_UBSAN("alignment") void WriteScalar(void *p, Offset<T> t) {
*reinterpret_cast<uoffset_t *>(p) = EndianScalar(t.o);
}
#if (FLATBUFFERS_GCC >= 100000) && (FLATBUFFERS_GCC < 110000)
#pragma GCC diagnostic pop
#endif
// Computes how many bytes you'd have to pad to be able to write an
// "scalar_size" scalar if the buffer had grown to "buf_size" (downwards in
// memory).
FLATBUFFERS_SUPPRESS_UBSAN("unsigned-integer-overflow")
inline size_t PaddingBytes(size_t buf_size, size_t scalar_size) {
return ((~buf_size) + 1) & (scalar_size - 1);
}
#if !defined(_MSC_VER)
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wfloat-equal"
#endif
// Generic 'operator==' with conditional specialisations.
// T e - new value of a scalar field.
// T def - default of scalar (is known at compile-time).
template<typename T> inline bool IsTheSameAs(T e, T def) { return e == def; }
#if !defined(_MSC_VER)
#pragma GCC diagnostic pop
#endif
#if defined(FLATBUFFERS_NAN_DEFAULTS) && \
defined(FLATBUFFERS_HAS_NEW_STRTOD) && (FLATBUFFERS_HAS_NEW_STRTOD > 0)
// Like `operator==(e, def)` with weak NaN if T=(float|double).
template<typename T> inline bool IsFloatTheSameAs(T e, T def) {
return (e == def) || ((def != def) && (e != e));
}
template<> inline bool IsTheSameAs<float>(float e, float def) {
return IsFloatTheSameAs(e, def);
}
template<> inline bool IsTheSameAs<double>(double e, double def) {
return IsFloatTheSameAs(e, def);
}
#endif
// Check 'v' is out of closed range [low; high].
// Workaround for GCC warning [-Werror=type-limits]:
// comparison is always true due to limited range of data type.
template<typename T>
inline bool IsOutRange(const T &v, const T &low, const T &high) {
return (v < low) || (high < v);
}
// Check 'v' is in closed range [low; high].
template<typename T>
inline bool IsInRange(const T &v, const T &low, const T &high) {
return !IsOutRange(v, low, high);
}
} // namespace flatbuffers
#endif // FLATBUFFERS_BASE_H_
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@@ -1,225 +0,0 @@
/*
* Copyright 2021 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_BUFFER_H_
#define FLATBUFFERS_BUFFER_H_
#include <algorithm>
#include "flatbuffers/base.h"
#include "flatbuffers/stl_emulation.h"
namespace flatbuffers {
// Wrapper for uoffset_t to allow safe template specialization.
// Value is allowed to be 0 to indicate a null object (see e.g. AddOffset).
template <typename T = void>
struct Offset {
// The type of offset to use.
typedef uoffset_t offset_type;
offset_type o;
Offset() : o(0) {}
Offset(const offset_type _o) : o(_o) {}
Offset<> Union() const { return o; }
bool IsNull() const { return !o; }
};
template <typename T>
struct is_specialisation_of_Offset : false_type {};
template <typename T>
struct is_specialisation_of_Offset<Offset<T>> : true_type {};
// Wrapper for uoffset64_t Offsets.
template <typename T = void>
struct Offset64 {
// The type of offset to use.
typedef uoffset64_t offset_type;
offset_type o;
Offset64() : o(0) {}
Offset64(const offset_type offset) : o(offset) {}
Offset64<> Union() const { return o; }
bool IsNull() const { return !o; }
};
template <typename T>
struct is_specialisation_of_Offset64 : false_type {};
template <typename T>
struct is_specialisation_of_Offset64<Offset64<T>> : true_type {};
// Litmus check for ensuring the Offsets are the expected size.
static_assert(sizeof(Offset<>) == 4, "Offset has wrong size");
static_assert(sizeof(Offset64<>) == 8, "Offset64 has wrong size");
inline void EndianCheck() {
int endiantest = 1;
// If this fails, see FLATBUFFERS_LITTLEENDIAN above.
FLATBUFFERS_ASSERT(*reinterpret_cast<char*>(&endiantest) ==
FLATBUFFERS_LITTLEENDIAN);
(void)endiantest;
}
template <typename T>
FLATBUFFERS_CONSTEXPR size_t AlignOf() {
// clang-format off
#ifdef _MSC_VER
return __alignof(T);
#else
#ifndef alignof
return __alignof__(T);
#else
return alignof(T);
#endif
#endif
// clang-format on
}
// Lexicographically compare two strings (possibly containing nulls), and
// return true if the first is less than the second.
static inline bool StringLessThan(const char* a_data, uoffset_t a_size,
const char* b_data, uoffset_t b_size) {
const auto cmp = memcmp(a_data, b_data, (std::min)(a_size, b_size));
return cmp == 0 ? a_size < b_size : cmp < 0;
}
// When we read serialized data from memory, in the case of most scalars,
// we want to just read T, but in the case of Offset, we want to actually
// perform the indirection and return a pointer.
// The template specialization below does just that.
// It is wrapped in a struct since function templates can't overload on the
// return type like this.
// The typedef is for the convenience of callers of this function
// (avoiding the need for a trailing return decltype)
template <typename T, typename Enable = void>
struct IndirectHelper {
typedef T return_type;
typedef T mutable_return_type;
static const size_t element_stride = sizeof(T);
static return_type Read(const uint8_t* p, const size_t i) {
return EndianScalar((reinterpret_cast<const T*>(p))[i]);
}
static mutable_return_type Read(uint8_t* p, const size_t i) {
return reinterpret_cast<mutable_return_type>(
Read(const_cast<const uint8_t*>(p), i));
}
};
// For vector of Offsets.
template <typename T, template <typename> class OffsetT>
struct IndirectHelper<OffsetT<T>> {
typedef const T* return_type;
typedef T* mutable_return_type;
typedef typename OffsetT<T>::offset_type offset_type;
static const offset_type element_stride = sizeof(offset_type);
static return_type Read(const uint8_t* const p, const offset_type i) {
// Offsets are relative to themselves, so first update the pointer to
// point to the offset location.
const uint8_t* const offset_location = p + i * element_stride;
// Then read the scalar value of the offset (which may be 32 or 64-bits) and
// then determine the relative location from the offset location.
return reinterpret_cast<return_type>(
offset_location + ReadScalar<offset_type>(offset_location));
}
static mutable_return_type Read(uint8_t* const p, const offset_type i) {
// Offsets are relative to themselves, so first update the pointer to
// point to the offset location.
uint8_t* const offset_location = p + i * element_stride;
// Then read the scalar value of the offset (which may be 32 or 64-bits) and
// then determine the relative location from the offset location.
return reinterpret_cast<mutable_return_type>(
offset_location + ReadScalar<offset_type>(offset_location));
}
};
// For vector of structs.
template <typename T>
struct IndirectHelper<
T, typename std::enable_if<
!std::is_scalar<typename std::remove_pointer<T>::type>::value &&
!is_specialisation_of_Offset<T>::value &&
!is_specialisation_of_Offset64<T>::value>::type> {
private:
typedef typename std::remove_pointer<typename std::remove_cv<T>::type>::type
pointee_type;
public:
typedef const pointee_type* return_type;
typedef pointee_type* mutable_return_type;
static const size_t element_stride = sizeof(pointee_type);
static return_type Read(const uint8_t* const p, const size_t i) {
// Structs are stored inline, relative to the first struct pointer.
return reinterpret_cast<return_type>(p + i * element_stride);
}
static mutable_return_type Read(uint8_t* const p, const size_t i) {
// Structs are stored inline, relative to the first struct pointer.
return reinterpret_cast<mutable_return_type>(p + i * element_stride);
}
};
/// @brief Get a pointer to the file_identifier section of the buffer.
/// @return Returns a const char pointer to the start of the file_identifier
/// characters in the buffer. The returned char * has length
/// 'flatbuffers::FlatBufferBuilder::kFileIdentifierLength'.
/// This function is UNDEFINED for FlatBuffers whose schema does not include
/// a file_identifier (likely points at padding or the start of a the root
/// vtable).
inline const char* GetBufferIdentifier(const void* buf,
bool size_prefixed = false) {
return reinterpret_cast<const char*>(buf) +
((size_prefixed) ? 2 * sizeof(uoffset_t) : sizeof(uoffset_t));
}
// Helper to see if the identifier in a buffer has the expected value.
inline bool BufferHasIdentifier(const void* buf, const char* identifier,
bool size_prefixed = false) {
return strncmp(GetBufferIdentifier(buf, size_prefixed), identifier,
flatbuffers::kFileIdentifierLength) == 0;
}
/// @cond FLATBUFFERS_INTERNAL
// Helpers to get a typed pointer to the root object contained in the buffer.
template <typename T>
T* GetMutableRoot(void* buf) {
if (!buf) return nullptr;
EndianCheck();
return reinterpret_cast<T*>(reinterpret_cast<uint8_t*>(buf) +
EndianScalar(*reinterpret_cast<uoffset_t*>(buf)));
}
template <typename T, typename SizeT = uoffset_t>
T* GetMutableSizePrefixedRoot(void* buf) {
return GetMutableRoot<T>(reinterpret_cast<uint8_t*>(buf) + sizeof(SizeT));
}
template <typename T>
const T* GetRoot(const void* buf) {
return GetMutableRoot<T>(const_cast<void*>(buf));
}
template <typename T, typename SizeT = uoffset_t>
const T* GetSizePrefixedRoot(const void* buf) {
return GetRoot<T>(reinterpret_cast<const uint8_t*>(buf) + sizeof(SizeT));
}
} // namespace flatbuffers
#endif // FLATBUFFERS_BUFFER_H_
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/*
* Copyright 2021 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_BUFFER_REF_H_
#define FLATBUFFERS_BUFFER_REF_H_
#include "flatbuffers/base.h"
#include "flatbuffers/verifier.h"
namespace flatbuffers {
// Convenient way to bundle a buffer and its length, to pass it around
// typed by its root.
// A BufferRef does not own its buffer.
struct BufferRefBase {}; // for std::is_base_of
template <typename T>
struct BufferRef : BufferRefBase {
BufferRef() : buf(nullptr), len(0), must_free(false) {}
BufferRef(uint8_t* _buf, uoffset_t _len)
: buf(_buf), len(_len), must_free(false) {}
~BufferRef() {
if (must_free) free(buf);
}
const T* GetRoot() const { return flatbuffers::GetRoot<T>(buf); }
bool Verify() {
Verifier verifier(buf, len);
return verifier.VerifyBuffer<T>(nullptr);
}
uint8_t* buf;
uoffset_t len;
bool must_free;
};
} // namespace flatbuffers
#endif // FLATBUFFERS_BUFFER_REF_H_
@@ -1,64 +0,0 @@
/*
* Copyright 2021 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_DEFAULT_ALLOCATOR_H_
#define FLATBUFFERS_DEFAULT_ALLOCATOR_H_
#include "flatbuffers/allocator.h"
#include "flatbuffers/base.h"
namespace flatbuffers {
// DefaultAllocator uses new/delete to allocate memory regions
class DefaultAllocator : public Allocator {
public:
uint8_t* allocate(size_t size) FLATBUFFERS_OVERRIDE {
return new uint8_t[size];
}
void deallocate(uint8_t* p, size_t) FLATBUFFERS_OVERRIDE { delete[] p; }
static void dealloc(void* p, size_t) { delete[] static_cast<uint8_t*>(p); }
};
// These functions allow for a null allocator to mean use the default allocator,
// as used by DetachedBuffer and vector_downward below.
// This is to avoid having a statically or dynamically allocated default
// allocator, or having to move it between the classes that may own it.
inline uint8_t* Allocate(Allocator* allocator, size_t size) {
return allocator ? allocator->allocate(size)
: DefaultAllocator().allocate(size);
}
inline void Deallocate(Allocator* allocator, uint8_t* p, size_t size) {
if (allocator)
allocator->deallocate(p, size);
else
DefaultAllocator().deallocate(p, size);
}
inline uint8_t* ReallocateDownward(Allocator* allocator, uint8_t* old_p,
size_t old_size, size_t new_size,
size_t in_use_back, size_t in_use_front) {
return allocator ? allocator->reallocate_downward(old_p, old_size, new_size,
in_use_back, in_use_front)
: DefaultAllocator().reallocate_downward(
old_p, old_size, new_size, in_use_back, in_use_front);
}
} // namespace flatbuffers
#endif // FLATBUFFERS_DEFAULT_ALLOCATOR_H_
@@ -1,121 +0,0 @@
/*
* Copyright 2021 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_DETACHED_BUFFER_H_
#define FLATBUFFERS_DETACHED_BUFFER_H_
#include "flatbuffers/allocator.h"
#include "flatbuffers/base.h"
#include "flatbuffers/default_allocator.h"
namespace flatbuffers {
// DetachedBuffer is a finished flatbuffer memory region, detached from its
// builder. The original memory region and allocator are also stored so that
// the DetachedBuffer can manage the memory lifetime.
class DetachedBuffer {
public:
DetachedBuffer()
: allocator_(nullptr),
own_allocator_(false),
buf_(nullptr),
reserved_(0),
cur_(nullptr),
size_(0) {}
DetachedBuffer(Allocator* allocator, bool own_allocator, uint8_t* buf,
size_t reserved, uint8_t* cur, size_t sz)
: allocator_(allocator),
own_allocator_(own_allocator),
buf_(buf),
reserved_(reserved),
cur_(cur),
size_(sz) {}
DetachedBuffer(DetachedBuffer&& other) noexcept
: allocator_(other.allocator_),
own_allocator_(other.own_allocator_),
buf_(other.buf_),
reserved_(other.reserved_),
cur_(other.cur_),
size_(other.size_) {
other.reset();
}
DetachedBuffer& operator=(DetachedBuffer&& other) noexcept {
if (this == &other) return *this;
destroy();
allocator_ = other.allocator_;
own_allocator_ = other.own_allocator_;
buf_ = other.buf_;
reserved_ = other.reserved_;
cur_ = other.cur_;
size_ = other.size_;
other.reset();
return *this;
}
~DetachedBuffer() { destroy(); }
const uint8_t* data() const { return cur_; }
uint8_t* data() { return cur_; }
size_t size() const { return size_; }
uint8_t* begin() { return data(); }
const uint8_t* begin() const { return data(); }
uint8_t* end() { return data() + size(); }
const uint8_t* end() const { return data() + size(); }
// These may change access mode, leave these at end of public section
FLATBUFFERS_DELETE_FUNC(DetachedBuffer(const DetachedBuffer& other));
FLATBUFFERS_DELETE_FUNC(
DetachedBuffer& operator=(const DetachedBuffer& other));
protected:
Allocator* allocator_;
bool own_allocator_;
uint8_t* buf_;
size_t reserved_;
uint8_t* cur_;
size_t size_;
inline void destroy() {
if (buf_) Deallocate(allocator_, buf_, reserved_);
if (own_allocator_ && allocator_) {
delete allocator_;
}
reset();
}
inline void reset() {
allocator_ = nullptr;
own_allocator_ = false;
buf_ = nullptr;
reserved_ = 0;
cur_ = nullptr;
size_ = 0;
}
};
} // namespace flatbuffers
#endif // FLATBUFFERS_DETACHED_BUFFER_H_
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/*
* Copyright 2014 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_H_
#define FLATBUFFERS_H_
#include <algorithm>
// TODO: These includes are for mitigating the pains of users editing their
// source because they relied on flatbuffers.h to include everything for them.
#include "flatbuffers/array.h"
#include "flatbuffers/base.h"
#include "flatbuffers/buffer.h"
#include "flatbuffers/buffer_ref.h"
#include "flatbuffers/detached_buffer.h"
#include "flatbuffers/flatbuffer_builder.h"
#include "flatbuffers/stl_emulation.h"
#include "flatbuffers/string.h"
#include "flatbuffers/struct.h"
#include "flatbuffers/table.h"
#include "flatbuffers/vector.h"
#include "flatbuffers/vector_downward.h"
#include "flatbuffers/verifier.h"
namespace flatbuffers {
/// @brief This can compute the start of a FlatBuffer from a root pointer, i.e.
/// it is the opposite transformation of GetRoot().
/// This may be useful if you want to pass on a root and have the recipient
/// delete the buffer afterwards.
inline const uint8_t* GetBufferStartFromRootPointer(const void* root) {
auto table = reinterpret_cast<const Table*>(root);
auto vtable = table->GetVTable();
// Either the vtable is before the root or after the root.
auto start = (std::min)(vtable, reinterpret_cast<const uint8_t*>(root));
// Align to at least sizeof(uoffset_t).
start = reinterpret_cast<const uint8_t*>(reinterpret_cast<uintptr_t>(start) &
~(sizeof(uoffset_t) - 1));
// Additionally, there may be a file_identifier in the buffer, and the root
// offset. The buffer may have been aligned to any size between
// sizeof(uoffset_t) and FLATBUFFERS_MAX_ALIGNMENT (see "force_align").
// Sadly, the exact alignment is only known when constructing the buffer,
// since it depends on the presence of values with said alignment properties.
// So instead, we simply look at the next uoffset_t values (root,
// file_identifier, and alignment padding) to see which points to the root.
// None of the other values can "impersonate" the root since they will either
// be 0 or four ASCII characters.
static_assert(flatbuffers::kFileIdentifierLength == sizeof(uoffset_t),
"file_identifier is assumed to be the same size as uoffset_t");
for (auto possible_roots = FLATBUFFERS_MAX_ALIGNMENT / sizeof(uoffset_t) + 1;
possible_roots; possible_roots--) {
start -= sizeof(uoffset_t);
if (ReadScalar<uoffset_t>(start) + start ==
reinterpret_cast<const uint8_t*>(root))
return start;
}
// We didn't find the root, either the "root" passed isn't really a root,
// or the buffer is corrupt.
// Assert, because calling this function with bad data may cause reads
// outside of buffer boundaries.
FLATBUFFERS_ASSERT(false);
return nullptr;
}
/// @brief This return the prefixed size of a FlatBuffer.
template <typename SizeT = uoffset_t>
inline SizeT GetPrefixedSize(const uint8_t* buf) {
return ReadScalar<SizeT>(buf);
}
// Gets the total length of the buffer given a sized prefixed FlatBuffer.
//
// This includes the size of the prefix as well as the buffer:
//
// [size prefix][flatbuffer]
// |---------length--------|
template <typename SizeT = uoffset_t>
inline SizeT GetSizePrefixedBufferLength(const uint8_t* const buf) {
return ReadScalar<SizeT>(buf) + sizeof(SizeT);
}
// Base class for native objects (FlatBuffer data de-serialized into native
// C++ data structures).
// Contains no functionality, purely documentative.
struct NativeTable {};
/// @brief Function types to be used with resolving hashes into objects and
/// back again. The resolver gets a pointer to a field inside an object API
/// object that is of the type specified in the schema using the attribute
/// `cpp_type` (it is thus important whatever you write to this address
/// matches that type). The value of this field is initially null, so you
/// may choose to implement a delayed binding lookup using this function
/// if you wish. The resolver does the opposite lookup, for when the object
/// is being serialized again.
typedef uint64_t hash_value_t;
typedef std::function<void(void** pointer_adr, hash_value_t hash)>
resolver_function_t;
typedef std::function<hash_value_t(void* pointer)> rehasher_function_t;
// Helper function to test if a field is present, using any of the field
// enums in the generated code.
// `table` must be a generated table type. Since this is a template parameter,
// this is not typechecked to be a subclass of Table, so beware!
// Note: this function will return false for fields equal to the default
// value, since they're not stored in the buffer (unless force_defaults was
// used).
template <typename T>
bool IsFieldPresent(const T* table, typename T::FlatBuffersVTableOffset field) {
// Cast, since Table is a private baseclass of any table types.
return reinterpret_cast<const Table*>(table)->CheckField(
static_cast<voffset_t>(field));
}
// Utility function for reverse lookups on the EnumNames*() functions
// (in the generated C++ code)
// names must be NULL terminated.
inline int LookupEnum(const char** names, const char* name) {
for (const char** p = names; *p; p++)
if (!strcmp(*p, name)) return static_cast<int>(p - names);
return -1;
}
// These macros allow us to layout a struct with a guarantee that they'll end
// up looking the same on different compilers and platforms.
// It does this by disallowing the compiler to do any padding, and then
// does padding itself by inserting extra padding fields that make every
// element aligned to its own size.
// Additionally, it manually sets the alignment of the struct as a whole,
// which is typically its largest element, or a custom size set in the schema
// by the force_align attribute.
// These are used in the generated code only.
// clang-format off
#if defined(_MSC_VER)
#define FLATBUFFERS_MANUALLY_ALIGNED_STRUCT(alignment) \
__pragma(pack(1)) \
struct __declspec(align(alignment))
#define FLATBUFFERS_STRUCT_END(name, size) \
__pragma(pack()) \
static_assert(sizeof(name) == size, "compiler breaks packing rules")
#elif defined(__GNUC__) || defined(__clang__) || defined(__ICCARM__)
#define FLATBUFFERS_MANUALLY_ALIGNED_STRUCT(alignment) \
_Pragma("pack(1)") \
struct __attribute__((aligned(alignment)))
#define FLATBUFFERS_STRUCT_END(name, size) \
_Pragma("pack()") \
static_assert(sizeof(name) == size, "compiler breaks packing rules")
#else
#error Unknown compiler, please define structure alignment macros
#endif
// clang-format on
// Minimal reflection via code generation.
// Besides full-fat reflection (see reflection.h) and parsing/printing by
// loading schemas (see idl.h), we can also have code generation for minimal
// reflection data which allows pretty-printing and other uses without needing
// a schema or a parser.
// Generate code with --reflect-types (types only) or --reflect-names (names
// also) to enable.
// See minireflect.h for utilities using this functionality.
// These types are organized slightly differently as the ones in idl.h.
enum SequenceType { ST_TABLE, ST_STRUCT, ST_UNION, ST_ENUM };
// Scalars have the same order as in idl.h
// clang-format off
#define FLATBUFFERS_GEN_ELEMENTARY_TYPES(ET) \
ET(ET_UTYPE) \
ET(ET_BOOL) \
ET(ET_CHAR) \
ET(ET_UCHAR) \
ET(ET_SHORT) \
ET(ET_USHORT) \
ET(ET_INT) \
ET(ET_UINT) \
ET(ET_LONG) \
ET(ET_ULONG) \
ET(ET_FLOAT) \
ET(ET_DOUBLE) \
ET(ET_STRING) \
ET(ET_SEQUENCE) // See SequenceType.
enum ElementaryType {
#define FLATBUFFERS_ET(E) E,
FLATBUFFERS_GEN_ELEMENTARY_TYPES(FLATBUFFERS_ET)
#undef FLATBUFFERS_ET
};
inline const char * const *ElementaryTypeNames() {
static const char * const names[] = {
#define FLATBUFFERS_ET(E) #E,
FLATBUFFERS_GEN_ELEMENTARY_TYPES(FLATBUFFERS_ET)
#undef FLATBUFFERS_ET
};
return names;
}
// clang-format on
// Basic type info cost just 16bits per field!
// We're explicitly defining the signedness since the signedness of integer
// bitfields is otherwise implementation-defined and causes warnings on older
// GCC compilers.
struct TypeCode {
// ElementaryType
unsigned short base_type : 4;
// Either vector (in table) or array (in struct)
unsigned short is_repeating : 1;
// Index into type_refs below, or -1 for none.
signed short sequence_ref : 11;
};
static_assert(sizeof(TypeCode) == 2, "TypeCode");
struct TypeTable;
// Signature of the static method present in each type.
typedef const TypeTable* (*TypeFunction)();
struct TypeTable {
SequenceType st;
size_t num_elems; // of type_codes, values, names (but not type_refs).
const TypeCode* type_codes; // num_elems count
const TypeFunction* type_refs; // less than num_elems entries (see TypeCode).
const int16_t* array_sizes; // less than num_elems entries (see TypeCode).
const int64_t* values; // Only set for non-consecutive enum/union or structs.
const char* const* names; // Only set if compiled with --reflect-names.
};
// String which identifies the current version of FlatBuffers.
inline const char* flatbuffers_version_string() {
return "FlatBuffers " FLATBUFFERS_STRING(FLATBUFFERS_VERSION_MAJOR) "."
FLATBUFFERS_STRING(FLATBUFFERS_VERSION_MINOR) "."
FLATBUFFERS_STRING(FLATBUFFERS_VERSION_REVISION);
}
// clang-format off
#define FLATBUFFERS_DEFINE_BITMASK_OPERATORS(E, T)\
inline FLATBUFFERS_CONSTEXPR_CPP11 E operator | (E lhs, E rhs){\
return E(T(lhs) | T(rhs));\
}\
inline FLATBUFFERS_CONSTEXPR_CPP11 E operator & (E lhs, E rhs){\
return E(T(lhs) & T(rhs));\
}\
inline FLATBUFFERS_CONSTEXPR_CPP11 E operator ^ (E lhs, E rhs){\
return E(T(lhs) ^ T(rhs));\
}\
inline FLATBUFFERS_CONSTEXPR_CPP11 E operator ~ (E lhs){\
return E(~T(lhs));\
}\
inline FLATBUFFERS_CONSTEXPR_CPP11 E operator |= (E &lhs, E rhs){\
lhs = lhs | rhs;\
return lhs;\
}\
inline FLATBUFFERS_CONSTEXPR_CPP11 E operator &= (E &lhs, E rhs){\
lhs = lhs & rhs;\
return lhs;\
}\
inline FLATBUFFERS_CONSTEXPR_CPP11 E operator ^= (E &lhs, E rhs){\
lhs = lhs ^ rhs;\
return lhs;\
}\
inline FLATBUFFERS_CONSTEXPR_CPP11 bool operator !(E rhs) \
{\
return !bool(T(rhs)); \
}
/// @endcond
} // namespace flatbuffers
// clang-format on
#endif // FLATBUFFERS_H_
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/*
* Copyright 2017 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_STL_EMULATION_H_
#define FLATBUFFERS_STL_EMULATION_H_
// clang-format off
#include "flatbuffers/base.h"
#include <string>
#include <type_traits>
#include <vector>
#include <memory>
#include <limits>
#ifndef FLATBUFFERS_USE_STD_OPTIONAL
// Detect C++17 compatible compiler.
// __cplusplus >= 201703L - a compiler has support of 'static inline' variables.
#if (defined(__cplusplus) && __cplusplus >= 201703L) \
|| (defined(_MSVC_LANG) && _MSVC_LANG >= 201703L)
#define FLATBUFFERS_USE_STD_OPTIONAL 1
#else
#define FLATBUFFERS_USE_STD_OPTIONAL 0
#endif // (defined(__cplusplus) && __cplusplus >= 201703L) ...
#endif // FLATBUFFERS_USE_STD_OPTIONAL
#if FLATBUFFERS_USE_STD_OPTIONAL
#include <optional>
#endif
#ifndef FLATBUFFERS_USE_STD_SPAN
// Testing __cpp_lib_span requires including either <version> or <span>,
// both of which were added in C++20.
// See: https://en.cppreference.com/w/cpp/utility/feature_test
#if defined(__cplusplus) && __cplusplus >= 202002L \
|| (defined(_MSVC_LANG) && _MSVC_LANG >= 202002L)
#define FLATBUFFERS_USE_STD_SPAN 1
#endif
#endif // FLATBUFFERS_USE_STD_SPAN
#if defined(FLATBUFFERS_USE_STD_SPAN)
#include <array>
#include <span>
#else
// Disable non-trivial ctors if FLATBUFFERS_SPAN_MINIMAL defined.
#if !defined(FLATBUFFERS_TEMPLATES_ALIASES)
#define FLATBUFFERS_SPAN_MINIMAL
#else
// Enable implicit construction of a span<T,N> from a std::array<T,N>.
#include <array>
#endif
#endif // defined(FLATBUFFERS_USE_STD_SPAN)
// This header provides backwards compatibility for older versions of the STL.
namespace flatbuffers {
#if defined(FLATBUFFERS_TEMPLATES_ALIASES)
template <typename T>
using numeric_limits = std::numeric_limits<T>;
#else
template <typename T> class numeric_limits :
public std::numeric_limits<T> {};
#endif // defined(FLATBUFFERS_TEMPLATES_ALIASES)
#if defined(FLATBUFFERS_TEMPLATES_ALIASES)
template <typename T> using is_scalar = std::is_scalar<T>;
template <typename T, typename U> using is_same = std::is_same<T,U>;
template <typename T> using is_floating_point = std::is_floating_point<T>;
template <typename T> using is_unsigned = std::is_unsigned<T>;
template <typename T> using is_enum = std::is_enum<T>;
template <typename T> using make_unsigned = std::make_unsigned<T>;
template<bool B, class T, class F>
using conditional = std::conditional<B, T, F>;
template<class T, T v>
using integral_constant = std::integral_constant<T, v>;
template <bool B>
using bool_constant = integral_constant<bool, B>;
using true_type = std::true_type;
using false_type = std::false_type;
#else
// MSVC 2010 doesn't support C++11 aliases.
template <typename T> struct is_scalar : public std::is_scalar<T> {};
template <typename T, typename U> struct is_same : public std::is_same<T,U> {};
template <typename T> struct is_floating_point :
public std::is_floating_point<T> {};
template <typename T> struct is_unsigned : public std::is_unsigned<T> {};
template <typename T> struct is_enum : public std::is_enum<T> {};
template <typename T> struct make_unsigned : public std::make_unsigned<T> {};
template<bool B, class T, class F>
struct conditional : public std::conditional<B, T, F> {};
template<class T, T v>
struct integral_constant : public std::integral_constant<T, v> {};
template <bool B>
struct bool_constant : public integral_constant<bool, B> {};
typedef bool_constant<true> true_type;
typedef bool_constant<false> false_type;
#endif // defined(FLATBUFFERS_TEMPLATES_ALIASES)
#if defined(FLATBUFFERS_TEMPLATES_ALIASES)
template <class T> using unique_ptr = std::unique_ptr<T>;
#else
// MSVC 2010 doesn't support C++11 aliases.
// We're manually "aliasing" the class here as we want to bring unique_ptr
// into the flatbuffers namespace. We have unique_ptr in the flatbuffers
// namespace we have a completely independent implementation (see below)
// for C++98 STL implementations.
template <class T> class unique_ptr : public std::unique_ptr<T> {
public:
unique_ptr() {}
explicit unique_ptr(T* p) : std::unique_ptr<T>(p) {}
unique_ptr(std::unique_ptr<T>&& u) { *this = std::move(u); }
unique_ptr(unique_ptr&& u) { *this = std::move(u); }
unique_ptr& operator=(std::unique_ptr<T>&& u) {
std::unique_ptr<T>::reset(u.release());
return *this;
}
unique_ptr& operator=(unique_ptr&& u) {
std::unique_ptr<T>::reset(u.release());
return *this;
}
unique_ptr& operator=(T* p) {
return std::unique_ptr<T>::operator=(p);
}
};
#endif // defined(FLATBUFFERS_TEMPLATES_ALIASES)
#if FLATBUFFERS_USE_STD_OPTIONAL
template<class T>
using Optional = std::optional<T>;
using nullopt_t = std::nullopt_t;
inline constexpr nullopt_t nullopt = std::nullopt;
#else
// Limited implementation of Optional<T> type for a scalar T.
// This implementation limited by trivial types compatible with
// std::is_arithmetic<T> or std::is_enum<T> type traits.
// A tag to indicate an empty flatbuffers::optional<T>.
struct nullopt_t {
explicit FLATBUFFERS_CONSTEXPR_CPP11 nullopt_t(int) {}
};
#if defined(FLATBUFFERS_CONSTEXPR_DEFINED)
namespace internal {
template <class> struct nullopt_holder {
static constexpr nullopt_t instance_ = nullopt_t(0);
};
template<class Dummy>
constexpr nullopt_t nullopt_holder<Dummy>::instance_;
}
static constexpr const nullopt_t &nullopt = internal::nullopt_holder<void>::instance_;
#else
namespace internal {
template <class> struct nullopt_holder {
static const nullopt_t instance_;
};
template<class Dummy>
const nullopt_t nullopt_holder<Dummy>::instance_ = nullopt_t(0);
}
static const nullopt_t &nullopt = internal::nullopt_holder<void>::instance_;
#endif
template<class T>
class Optional FLATBUFFERS_FINAL_CLASS {
// Non-scalar 'T' would extremely complicated Optional<T>.
// Use is_scalar<T> checking because flatbuffers flatbuffers::is_arithmetic<T>
// isn't implemented.
static_assert(flatbuffers::is_scalar<T>::value, "unexpected type T");
public:
~Optional() {}
FLATBUFFERS_CONSTEXPR_CPP11 Optional() FLATBUFFERS_NOEXCEPT
: value_(), has_value_(false) {}
FLATBUFFERS_CONSTEXPR_CPP11 Optional(nullopt_t) FLATBUFFERS_NOEXCEPT
: value_(), has_value_(false) {}
FLATBUFFERS_CONSTEXPR_CPP11 Optional(T val) FLATBUFFERS_NOEXCEPT
: value_(val), has_value_(true) {}
FLATBUFFERS_CONSTEXPR_CPP11 Optional(const Optional &other) FLATBUFFERS_NOEXCEPT
: value_(other.value_), has_value_(other.has_value_) {}
FLATBUFFERS_CONSTEXPR_CPP14 Optional &operator=(const Optional &other) FLATBUFFERS_NOEXCEPT {
value_ = other.value_;
has_value_ = other.has_value_;
return *this;
}
FLATBUFFERS_CONSTEXPR_CPP14 Optional &operator=(nullopt_t) FLATBUFFERS_NOEXCEPT {
value_ = T();
has_value_ = false;
return *this;
}
FLATBUFFERS_CONSTEXPR_CPP14 Optional &operator=(T val) FLATBUFFERS_NOEXCEPT {
value_ = val;
has_value_ = true;
return *this;
}
void reset() FLATBUFFERS_NOEXCEPT {
*this = nullopt;
}
void swap(Optional &other) FLATBUFFERS_NOEXCEPT {
std::swap(value_, other.value_);
std::swap(has_value_, other.has_value_);
}
FLATBUFFERS_CONSTEXPR_CPP11 FLATBUFFERS_EXPLICIT_CPP11 operator bool() const FLATBUFFERS_NOEXCEPT {
return has_value_;
}
FLATBUFFERS_CONSTEXPR_CPP11 bool has_value() const FLATBUFFERS_NOEXCEPT {
return has_value_;
}
FLATBUFFERS_CONSTEXPR_CPP11 const T& operator*() const FLATBUFFERS_NOEXCEPT {
return value_;
}
const T& value() const {
FLATBUFFERS_ASSERT(has_value());
return value_;
}
T value_or(T default_value) const FLATBUFFERS_NOEXCEPT {
return has_value() ? value_ : default_value;
}
private:
T value_;
bool has_value_;
};
template<class T>
FLATBUFFERS_CONSTEXPR_CPP11 bool operator==(const Optional<T>& opt, nullopt_t) FLATBUFFERS_NOEXCEPT {
return !opt;
}
template<class T>
FLATBUFFERS_CONSTEXPR_CPP11 bool operator==(nullopt_t, const Optional<T>& opt) FLATBUFFERS_NOEXCEPT {
return !opt;
}
template<class T, class U>
FLATBUFFERS_CONSTEXPR_CPP11 bool operator==(const Optional<T>& lhs, const U& rhs) FLATBUFFERS_NOEXCEPT {
return static_cast<bool>(lhs) && (*lhs == rhs);
}
template<class T, class U>
FLATBUFFERS_CONSTEXPR_CPP11 bool operator==(const T& lhs, const Optional<U>& rhs) FLATBUFFERS_NOEXCEPT {
return static_cast<bool>(rhs) && (lhs == *rhs);
}
template<class T, class U>
FLATBUFFERS_CONSTEXPR_CPP11 bool operator==(const Optional<T>& lhs, const Optional<U>& rhs) FLATBUFFERS_NOEXCEPT {
return static_cast<bool>(lhs) != static_cast<bool>(rhs)
? false
: !static_cast<bool>(lhs) ? true : (*lhs == *rhs);
}
#endif // FLATBUFFERS_USE_STD_OPTIONAL
// Very limited and naive partial implementation of C++20 std::span<T,Extent>.
#if defined(FLATBUFFERS_USE_STD_SPAN)
inline constexpr std::size_t dynamic_extent = std::dynamic_extent;
template<class T, std::size_t Extent = std::dynamic_extent>
using span = std::span<T, Extent>;
#else // !defined(FLATBUFFERS_USE_STD_SPAN)
FLATBUFFERS_CONSTEXPR std::size_t dynamic_extent = static_cast<std::size_t>(-1);
// Exclude this code if MSVC2010 or non-STL Android is active.
// The non-STL Android doesn't have `std::is_convertible` required for SFINAE.
#if !defined(FLATBUFFERS_SPAN_MINIMAL)
namespace internal {
// This is SFINAE helper class for checking of a common condition:
// > This overload only participates in overload resolution
// > Check whether a pointer to an array of From can be converted
// > to a pointer to an array of To.
// This helper is used for checking of 'From -> const From'.
template<class To, std::size_t Extent, class From, std::size_t N>
struct is_span_convertible {
using type =
typename std::conditional<std::is_convertible<From (*)[], To (*)[]>::value
&& (Extent == dynamic_extent || N == Extent),
int, void>::type;
};
template<typename T>
struct SpanIterator {
// TODO: upgrade to std::random_access_iterator_tag.
using iterator_category = std::forward_iterator_tag;
using difference_type = std::ptrdiff_t;
using value_type = typename std::remove_cv<T>::type;
using reference = T&;
using pointer = T*;
// Convince MSVC compiler that this iterator is trusted (it is verified).
#ifdef _MSC_VER
using _Unchecked_type = pointer;
#endif // _MSC_VER
SpanIterator(pointer ptr) : ptr_(ptr) {}
reference operator*() const { return *ptr_; }
pointer operator->() { return ptr_; }
SpanIterator& operator++() { ptr_++; return *this; }
SpanIterator operator++(int) { auto tmp = *this; ++(*this); return tmp; }
friend bool operator== (const SpanIterator& lhs, const SpanIterator& rhs) { return lhs.ptr_ == rhs.ptr_; }
friend bool operator!= (const SpanIterator& lhs, const SpanIterator& rhs) { return lhs.ptr_ != rhs.ptr_; }
private:
pointer ptr_;
};
} // namespace internal
#endif // !defined(FLATBUFFERS_SPAN_MINIMAL)
// T - element type; must be a complete type that is not an abstract
// class type.
// Extent - the number of elements in the sequence, or dynamic.
template<class T, std::size_t Extent = dynamic_extent>
class span FLATBUFFERS_FINAL_CLASS {
public:
typedef T element_type;
typedef T& reference;
typedef const T& const_reference;
typedef T* pointer;
typedef const T* const_pointer;
typedef std::size_t size_type;
static FLATBUFFERS_CONSTEXPR size_type extent = Extent;
// Returns the number of elements in the span.
FLATBUFFERS_CONSTEXPR_CPP11 size_type size() const FLATBUFFERS_NOEXCEPT {
return count_;
}
// Returns the size of the sequence in bytes.
FLATBUFFERS_CONSTEXPR_CPP11
size_type size_bytes() const FLATBUFFERS_NOEXCEPT {
return size() * sizeof(element_type);
}
// Checks if the span is empty.
FLATBUFFERS_CONSTEXPR_CPP11 bool empty() const FLATBUFFERS_NOEXCEPT {
return size() == 0;
}
// Returns a pointer to the beginning of the sequence.
FLATBUFFERS_CONSTEXPR_CPP11 pointer data() const FLATBUFFERS_NOEXCEPT {
return data_;
}
#if !defined(FLATBUFFERS_SPAN_MINIMAL)
using Iterator = internal::SpanIterator<T>;
Iterator begin() const { return Iterator(data()); }
Iterator end() const { return Iterator(data() + size()); }
#endif
// Returns a reference to the idx-th element of the sequence.
// The behavior is undefined if the idx is greater than or equal to size().
FLATBUFFERS_CONSTEXPR_CPP11 reference operator[](size_type idx) const {
return data()[idx];
}
FLATBUFFERS_CONSTEXPR_CPP11 span(const span &other) FLATBUFFERS_NOEXCEPT
: data_(other.data_), count_(other.count_) {}
FLATBUFFERS_CONSTEXPR_CPP14 span &operator=(const span &other)
FLATBUFFERS_NOEXCEPT {
data_ = other.data_;
count_ = other.count_;
}
// Limited implementation of
// `template <class It> constexpr std::span(It first, size_type count);`.
//
// Constructs a span that is a view over the range [first, first + count);
// the resulting span has: data() == first and size() == count.
// The behavior is undefined if [first, first + count) is not a valid range,
// or if (extent != flatbuffers::dynamic_extent && count != extent).
FLATBUFFERS_CONSTEXPR_CPP11
explicit span(pointer first, size_type count) FLATBUFFERS_NOEXCEPT
: data_ (Extent == dynamic_extent ? first : (Extent == count ? first : nullptr)),
count_(Extent == dynamic_extent ? count : (Extent == count ? Extent : 0)) {
// Make span empty if the count argument is incompatible with span<T,N>.
}
// Exclude this code if MSVC2010 is active. The MSVC2010 isn't C++11
// compliant, it doesn't support default template arguments for functions.
#if defined(FLATBUFFERS_SPAN_MINIMAL)
FLATBUFFERS_CONSTEXPR_CPP11 span() FLATBUFFERS_NOEXCEPT : data_(nullptr),
count_(0) {
static_assert(extent == 0 || extent == dynamic_extent, "invalid span");
}
#else
// Constructs an empty span whose data() == nullptr and size() == 0.
// This overload only participates in overload resolution if
// extent == 0 || extent == flatbuffers::dynamic_extent.
// A dummy template argument N is need dependency for SFINAE.
template<std::size_t N = 0,
typename internal::is_span_convertible<element_type, Extent, element_type, (N - N)>::type = 0>
FLATBUFFERS_CONSTEXPR_CPP11 span() FLATBUFFERS_NOEXCEPT : data_(nullptr),
count_(0) {
static_assert(extent == 0 || extent == dynamic_extent, "invalid span");
}
// Constructs a span that is a view over the array arr; the resulting span
// has size() == N and data() == std::data(arr). These overloads only
// participate in overload resolution if
// extent == std::dynamic_extent || N == extent is true and
// std::remove_pointer_t<decltype(std::data(arr))>(*)[]
// is convertible to element_type (*)[].
template<std::size_t N,
typename internal::is_span_convertible<element_type, Extent, element_type, N>::type = 0>
FLATBUFFERS_CONSTEXPR_CPP11 span(element_type (&arr)[N]) FLATBUFFERS_NOEXCEPT
: data_(arr), count_(N) {}
template<class U, std::size_t N,
typename internal::is_span_convertible<element_type, Extent, U, N>::type = 0>
FLATBUFFERS_CONSTEXPR_CPP11 span(std::array<U, N> &arr) FLATBUFFERS_NOEXCEPT
: data_(arr.data()), count_(N) {}
//template<class U, std::size_t N,
// int = 0>
//FLATBUFFERS_CONSTEXPR_CPP11 span(std::array<U, N> &arr) FLATBUFFERS_NOEXCEPT
// : data_(arr.data()), count_(N) {}
template<class U, std::size_t N,
typename internal::is_span_convertible<element_type, Extent, U, N>::type = 0>
FLATBUFFERS_CONSTEXPR_CPP11 span(const std::array<U, N> &arr) FLATBUFFERS_NOEXCEPT
: data_(arr.data()), count_(N) {}
// Converting constructor from another span s;
// the resulting span has size() == s.size() and data() == s.data().
// This overload only participates in overload resolution
// if extent == std::dynamic_extent || N == extent is true and U (*)[]
// is convertible to element_type (*)[].
template<class U, std::size_t N,
typename internal::is_span_convertible<element_type, Extent, U, N>::type = 0>
FLATBUFFERS_CONSTEXPR_CPP11 span(const flatbuffers::span<U, N> &s) FLATBUFFERS_NOEXCEPT
: span(s.data(), s.size()) {
}
#endif // !defined(FLATBUFFERS_SPAN_MINIMAL)
private:
// This is a naive implementation with 'count_' member even if (Extent != dynamic_extent).
pointer const data_;
size_type count_;
};
#endif // defined(FLATBUFFERS_USE_STD_SPAN)
#if !defined(FLATBUFFERS_SPAN_MINIMAL)
template<class ElementType, std::size_t Extent>
FLATBUFFERS_CONSTEXPR_CPP11
flatbuffers::span<ElementType, Extent> make_span(ElementType(&arr)[Extent]) FLATBUFFERS_NOEXCEPT {
return span<ElementType, Extent>(arr);
}
template<class ElementType, std::size_t Extent>
FLATBUFFERS_CONSTEXPR_CPP11
flatbuffers::span<const ElementType, Extent> make_span(const ElementType(&arr)[Extent]) FLATBUFFERS_NOEXCEPT {
return span<const ElementType, Extent>(arr);
}
template<class ElementType, std::size_t Extent>
FLATBUFFERS_CONSTEXPR_CPP11
flatbuffers::span<ElementType, Extent> make_span(std::array<ElementType, Extent> &arr) FLATBUFFERS_NOEXCEPT {
return span<ElementType, Extent>(arr);
}
template<class ElementType, std::size_t Extent>
FLATBUFFERS_CONSTEXPR_CPP11
flatbuffers::span<const ElementType, Extent> make_span(const std::array<ElementType, Extent> &arr) FLATBUFFERS_NOEXCEPT {
return span<const ElementType, Extent>(arr);
}
template<class ElementType, std::size_t Extent>
FLATBUFFERS_CONSTEXPR_CPP11
flatbuffers::span<ElementType, dynamic_extent> make_span(ElementType *first, std::size_t count) FLATBUFFERS_NOEXCEPT {
return span<ElementType, dynamic_extent>(first, count);
}
template<class ElementType, std::size_t Extent>
FLATBUFFERS_CONSTEXPR_CPP11
flatbuffers::span<const ElementType, dynamic_extent> make_span(const ElementType *first, std::size_t count) FLATBUFFERS_NOEXCEPT {
return span<const ElementType, dynamic_extent>(first, count);
}
#endif // !defined(FLATBUFFERS_SPAN_MINIMAL)
} // namespace flatbuffers
#endif // FLATBUFFERS_STL_EMULATION_H_
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/*
* Copyright 2021 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_STRING_H_
#define FLATBUFFERS_STRING_H_
#include "flatbuffers/base.h"
#include "flatbuffers/vector.h"
namespace flatbuffers {
struct String : public Vector<char> {
const char* c_str() const { return reinterpret_cast<const char*>(Data()); }
std::string str() const { return std::string(c_str(), size()); }
// clang-format off
#ifdef FLATBUFFERS_HAS_STRING_VIEW
flatbuffers::string_view string_view() const {
return flatbuffers::string_view(c_str(), size());
}
/* implicit */
operator flatbuffers::string_view() const {
return flatbuffers::string_view(c_str(), size());
}
#endif // FLATBUFFERS_HAS_STRING_VIEW
// clang-format on
bool operator<(const String& o) const {
return StringLessThan(this->data(), this->size(), o.data(), o.size());
}
};
// Convenience function to get std::string from a String returning an empty
// string on null pointer.
static inline std::string GetString(const String* str) {
return str ? str->str() : "";
}
// Convenience function to get char* from a String returning an empty string on
// null pointer.
static inline const char* GetCstring(const String* str) {
return str ? str->c_str() : "";
}
#ifdef FLATBUFFERS_HAS_STRING_VIEW
// Convenience function to get string_view from a String returning an empty
// string_view on null pointer.
static inline flatbuffers::string_view GetStringView(const String* str) {
return str ? str->string_view() : flatbuffers::string_view();
}
#endif // FLATBUFFERS_HAS_STRING_VIEW
} // namespace flatbuffers
#endif // FLATBUFFERS_STRING_H_
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/*
* Copyright 2021 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_STRUCT_H_
#define FLATBUFFERS_STRUCT_H_
#include "flatbuffers/base.h"
namespace flatbuffers {
// "structs" are flat structures that do not have an offset table, thus
// always have all members present and do not support forwards/backwards
// compatible extensions.
class Struct FLATBUFFERS_FINAL_CLASS {
public:
template <typename T>
T GetField(uoffset_t o) const {
return ReadScalar<T>(&data_[o]);
}
template <typename T>
T GetStruct(uoffset_t o) const {
return reinterpret_cast<T>(&data_[o]);
}
const uint8_t* GetAddressOf(uoffset_t o) const { return &data_[o]; }
uint8_t* GetAddressOf(uoffset_t o) { return &data_[o]; }
private:
// private constructor & copy constructor: you obtain instances of this
// class by pointing to existing data only
Struct();
Struct(const Struct&);
Struct& operator=(const Struct&);
uint8_t data_[1];
};
} // namespace flatbuffers
#endif // FLATBUFFERS_STRUCT_H_
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/*
* Copyright 2021 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_TABLE_H_
#define FLATBUFFERS_TABLE_H_
#include "flatbuffers/base.h"
#include "flatbuffers/verifier.h"
namespace flatbuffers {
// "tables" use an offset table (possibly shared) that allows fields to be
// omitted and added at will, but uses an extra indirection to read.
class Table {
public:
const uint8_t* GetVTable() const {
return data_ - ReadScalar<soffset_t>(data_);
}
// This gets the field offset for any of the functions below it, or 0
// if the field was not present.
voffset_t GetOptionalFieldOffset(voffset_t field) const {
// The vtable offset is always at the start.
auto vtable = GetVTable();
// The first element is the size of the vtable (fields + type id + itself).
auto vtsize = ReadScalar<voffset_t>(vtable);
// If the field we're accessing is outside the vtable, we're reading older
// data, so it's the same as if the offset was 0 (not present).
return field < vtsize ? ReadScalar<voffset_t>(vtable + field) : 0;
}
template <typename T>
T GetField(voffset_t field, T defaultval) const {
auto field_offset = GetOptionalFieldOffset(field);
return field_offset ? ReadScalar<T>(data_ + field_offset) : defaultval;
}
template <typename P, typename OffsetSize = uoffset_t>
P GetPointer(voffset_t field) {
auto field_offset = GetOptionalFieldOffset(field);
auto p = data_ + field_offset;
return field_offset ? reinterpret_cast<P>(p + ReadScalar<OffsetSize>(p))
: nullptr;
}
template <typename P, typename OffsetSize = uoffset_t>
P GetPointer(voffset_t field) const {
return const_cast<Table*>(this)->GetPointer<P, OffsetSize>(field);
}
template <typename P>
P GetPointer64(voffset_t field) {
return GetPointer<P, uoffset64_t>(field);
}
template <typename P>
P GetPointer64(voffset_t field) const {
return GetPointer<P, uoffset64_t>(field);
}
template <typename P>
P GetStruct(voffset_t field) const {
auto field_offset = GetOptionalFieldOffset(field);
auto p = const_cast<uint8_t*>(data_ + field_offset);
return field_offset ? reinterpret_cast<P>(p) : nullptr;
}
template <typename Raw, typename Face>
flatbuffers::Optional<Face> GetOptional(voffset_t field) const {
auto field_offset = GetOptionalFieldOffset(field);
auto p = data_ + field_offset;
return field_offset ? Optional<Face>(static_cast<Face>(ReadScalar<Raw>(p)))
: Optional<Face>();
}
template <typename T>
bool SetField(voffset_t field, T val, T def) {
auto field_offset = GetOptionalFieldOffset(field);
if (!field_offset) return IsTheSameAs(val, def);
WriteScalar(data_ + field_offset, val);
return true;
}
template <typename T>
bool SetField(voffset_t field, T val) {
auto field_offset = GetOptionalFieldOffset(field);
if (!field_offset) return false;
WriteScalar(data_ + field_offset, val);
return true;
}
bool SetPointer(voffset_t field, const uint8_t* val) {
auto field_offset = GetOptionalFieldOffset(field);
if (!field_offset) return false;
WriteScalar(data_ + field_offset,
static_cast<uoffset_t>(val - (data_ + field_offset)));
return true;
}
uint8_t* GetAddressOf(voffset_t field) {
auto field_offset = GetOptionalFieldOffset(field);
return field_offset ? data_ + field_offset : nullptr;
}
const uint8_t* GetAddressOf(voffset_t field) const {
return const_cast<Table*>(this)->GetAddressOf(field);
}
bool CheckField(voffset_t field) const {
return GetOptionalFieldOffset(field) != 0;
}
// Verify the vtable of this table.
// Call this once per table, followed by VerifyField once per field.
bool VerifyTableStart(Verifier& verifier) const {
return verifier.VerifyTableStart(data_);
}
// Verify a particular field.
template <typename T>
bool VerifyField(const Verifier& verifier, voffset_t field,
size_t align) const {
// Calling GetOptionalFieldOffset should be safe now thanks to
// VerifyTable().
auto field_offset = GetOptionalFieldOffset(field);
// Check the actual field.
return !field_offset || verifier.VerifyField<T>(data_, field_offset, align);
}
// VerifyField for required fields.
template <typename T>
bool VerifyFieldRequired(const Verifier& verifier, voffset_t field,
size_t align) const {
auto field_offset = GetOptionalFieldOffset(field);
return verifier.Check(field_offset != 0) &&
verifier.VerifyField<T>(data_, field_offset, align);
}
// Versions for offsets.
template <typename OffsetT = uoffset_t>
bool VerifyOffset(const Verifier& verifier, voffset_t field) const {
auto field_offset = GetOptionalFieldOffset(field);
return !field_offset || verifier.VerifyOffset<OffsetT>(data_, field_offset);
}
template <typename OffsetT = uoffset_t>
bool VerifyOffsetRequired(const Verifier& verifier, voffset_t field) const {
auto field_offset = GetOptionalFieldOffset(field);
return verifier.Check(field_offset != 0) &&
verifier.VerifyOffset<OffsetT>(data_, field_offset);
}
bool VerifyOffset64(const Verifier& verifier, voffset_t field) const {
return VerifyOffset<uoffset64_t>(verifier, field);
}
bool VerifyOffset64Required(const Verifier& verifier, voffset_t field) const {
return VerifyOffsetRequired<uoffset64_t>(verifier, field);
}
private:
// private constructor & copy constructor: you obtain instances of this
// class by pointing to existing data only
Table();
Table(const Table& other);
Table& operator=(const Table&);
uint8_t data_[1];
};
// This specialization allows avoiding warnings like:
// MSVC C4800: type: forcing value to bool 'true' or 'false'.
template <>
inline flatbuffers::Optional<bool> Table::GetOptional<uint8_t, bool>(
voffset_t field) const {
auto field_offset = GetOptionalFieldOffset(field);
auto p = data_ + field_offset;
return field_offset ? Optional<bool>(ReadScalar<uint8_t>(p) != 0)
: Optional<bool>();
}
} // namespace flatbuffers
#endif // FLATBUFFERS_TABLE_H_
-422
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@@ -1,422 +0,0 @@
/*
* Copyright 2021 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_VECTOR_H_
#define FLATBUFFERS_VECTOR_H_
#include "flatbuffers/base.h"
#include "flatbuffers/buffer.h"
#include "flatbuffers/stl_emulation.h"
namespace flatbuffers {
struct String;
// An STL compatible iterator implementation for Vector below, effectively
// calling Get() for every element.
template <typename T, typename IT, typename Data = uint8_t*,
typename SizeT = uoffset_t>
struct VectorIterator {
typedef std::random_access_iterator_tag iterator_category;
typedef IT value_type;
typedef ptrdiff_t difference_type;
typedef IT* pointer;
typedef IT& reference;
static const SizeT element_stride = IndirectHelper<T>::element_stride;
VectorIterator(Data data, SizeT i) : data_(data + element_stride * i) {}
VectorIterator(const VectorIterator& other) : data_(other.data_) {}
VectorIterator() : data_(nullptr) {}
VectorIterator& operator=(const VectorIterator& other) {
data_ = other.data_;
return *this;
}
VectorIterator& operator=(VectorIterator&& other) {
data_ = other.data_;
return *this;
}
bool operator==(const VectorIterator& other) const {
return data_ == other.data_;
}
bool operator!=(const VectorIterator& other) const {
return data_ != other.data_;
}
bool operator<(const VectorIterator& other) const {
return data_ < other.data_;
}
bool operator>(const VectorIterator& other) const {
return data_ > other.data_;
}
bool operator<=(const VectorIterator& other) const {
return !(data_ > other.data_);
}
bool operator>=(const VectorIterator& other) const {
return !(data_ < other.data_);
}
difference_type operator-(const VectorIterator& other) const {
return (data_ - other.data_) / element_stride;
}
// Note: return type is incompatible with the standard
// `reference operator*()`.
IT operator*() const { return IndirectHelper<T>::Read(data_, 0); }
// Note: return type is incompatible with the standard
// `pointer operator->()`.
IT operator->() const { return IndirectHelper<T>::Read(data_, 0); }
VectorIterator& operator++() {
data_ += element_stride;
return *this;
}
VectorIterator operator++(int) {
VectorIterator temp(data_, 0);
data_ += element_stride;
return temp;
}
VectorIterator operator+(const SizeT& offset) const {
return VectorIterator(data_ + offset * element_stride, 0);
}
VectorIterator& operator+=(const SizeT& offset) {
data_ += offset * element_stride;
return *this;
}
VectorIterator& operator--() {
data_ -= element_stride;
return *this;
}
VectorIterator operator--(int) {
VectorIterator temp(data_, 0);
data_ -= element_stride;
return temp;
}
VectorIterator operator-(const SizeT& offset) const {
return VectorIterator(data_ - offset * element_stride, 0);
}
VectorIterator& operator-=(const SizeT& offset) {
data_ -= offset * element_stride;
return *this;
}
private:
Data data_;
};
template <typename T, typename IT, typename SizeT = uoffset_t>
using VectorConstIterator = VectorIterator<T, IT, const uint8_t*, SizeT>;
template <typename Iterator>
struct VectorReverseIterator : public std::reverse_iterator<Iterator> {
explicit VectorReverseIterator(Iterator iter)
: std::reverse_iterator<Iterator>(iter) {}
// Note: return type is incompatible with the standard
// `reference operator*()`.
typename Iterator::value_type operator*() const {
auto tmp = std::reverse_iterator<Iterator>::current;
return *--tmp;
}
// Note: return type is incompatible with the standard
// `pointer operator->()`.
typename Iterator::value_type operator->() const {
auto tmp = std::reverse_iterator<Iterator>::current;
return *--tmp;
}
};
// This is used as a helper type for accessing vectors.
// Vector::data() assumes the vector elements start after the length field.
template <typename T, typename SizeT = uoffset_t>
class Vector {
public:
typedef VectorIterator<T, typename IndirectHelper<T>::mutable_return_type,
uint8_t*, SizeT>
iterator;
typedef VectorConstIterator<T, typename IndirectHelper<T>::return_type, SizeT>
const_iterator;
typedef VectorReverseIterator<iterator> reverse_iterator;
typedef VectorReverseIterator<const_iterator> const_reverse_iterator;
typedef typename flatbuffers::bool_constant<flatbuffers::is_scalar<T>::value>
scalar_tag;
static FLATBUFFERS_CONSTEXPR bool is_span_observable =
scalar_tag::value && (FLATBUFFERS_LITTLEENDIAN || sizeof(T) == 1);
SizeT size() const { return EndianScalar(length_); }
// Returns true if the vector is empty.
//
// This just provides another standardized method that is expected of vectors.
bool empty() const { return size() == 0; }
// Deprecated: use size(). Here for backwards compatibility.
FLATBUFFERS_ATTRIBUTE([[deprecated("use size() instead")]])
SizeT Length() const { return size(); }
typedef SizeT size_type;
typedef typename IndirectHelper<T>::return_type return_type;
typedef typename IndirectHelper<T>::mutable_return_type mutable_return_type;
typedef return_type value_type;
return_type Get(SizeT i) const {
FLATBUFFERS_ASSERT(i < size());
return IndirectHelper<T>::Read(Data(), i);
}
return_type operator[](SizeT i) const { return Get(i); }
// If this is a Vector of enums, T will be its storage type, not the enum
// type. This function makes it convenient to retrieve value with enum
// type E.
template <typename E>
E GetEnum(SizeT i) const {
return static_cast<E>(Get(i));
}
// If this a vector of unions, this does the cast for you. There's no check
// to make sure this is the right type!
template <typename U>
const U* GetAs(SizeT i) const {
return reinterpret_cast<const U*>(Get(i));
}
// If this a vector of unions, this does the cast for you. There's no check
// to make sure this is actually a string!
const String* GetAsString(SizeT i) const {
return reinterpret_cast<const String*>(Get(i));
}
const void* GetStructFromOffset(size_t o) const {
return reinterpret_cast<const void*>(Data() + o);
}
iterator begin() { return iterator(Data(), 0); }
const_iterator begin() const { return const_iterator(Data(), 0); }
iterator end() { return iterator(Data(), size()); }
const_iterator end() const { return const_iterator(Data(), size()); }
reverse_iterator rbegin() { return reverse_iterator(end()); }
const_reverse_iterator rbegin() const {
return const_reverse_iterator(end());
}
reverse_iterator rend() { return reverse_iterator(begin()); }
const_reverse_iterator rend() const {
return const_reverse_iterator(begin());
}
const_iterator cbegin() const { return begin(); }
const_iterator cend() const { return end(); }
const_reverse_iterator crbegin() const { return rbegin(); }
const_reverse_iterator crend() const { return rend(); }
// Change elements if you have a non-const pointer to this object.
// Scalars only. See reflection.h, and the documentation.
void Mutate(SizeT i, const T& val) {
FLATBUFFERS_ASSERT(i < size());
WriteScalar(data() + i, val);
}
// Change an element of a vector of tables (or strings).
// "val" points to the new table/string, as you can obtain from
// e.g. reflection::AddFlatBuffer().
void MutateOffset(SizeT i, const uint8_t* val) {
FLATBUFFERS_ASSERT(i < size());
static_assert(sizeof(T) == sizeof(SizeT), "Unrelated types");
WriteScalar(data() + i,
static_cast<SizeT>(val - (Data() + i * sizeof(SizeT))));
}
// Get a mutable pointer to tables/strings inside this vector.
mutable_return_type GetMutableObject(SizeT i) const {
FLATBUFFERS_ASSERT(i < size());
return const_cast<mutable_return_type>(IndirectHelper<T>::Read(Data(), i));
}
// The raw data in little endian format. Use with care.
const uint8_t* Data() const {
return reinterpret_cast<const uint8_t*>(&length_ + 1);
}
uint8_t* Data() { return reinterpret_cast<uint8_t*>(&length_ + 1); }
// Similarly, but typed, much like std::vector::data
const T* data() const { return reinterpret_cast<const T*>(Data()); }
T* data() { return reinterpret_cast<T*>(Data()); }
template <typename K>
return_type LookupByKey(K key) const {
void* search_result = std::bsearch(
&key, Data(), size(), IndirectHelper<T>::element_stride, KeyCompare<K>);
if (!search_result) {
return nullptr; // Key not found.
}
const uint8_t* element = reinterpret_cast<const uint8_t*>(search_result);
return IndirectHelper<T>::Read(element, 0);
}
template <typename K>
mutable_return_type MutableLookupByKey(K key) {
return const_cast<mutable_return_type>(LookupByKey(key));
}
protected:
// This class is only used to access pre-existing data. Don't ever
// try to construct these manually.
Vector();
SizeT length_;
private:
// This class is a pointer. Copying will therefore create an invalid object.
// Private and unimplemented copy constructor.
Vector(const Vector&);
Vector& operator=(const Vector&);
template <typename K>
static int KeyCompare(const void* ap, const void* bp) {
const K* key = reinterpret_cast<const K*>(ap);
const uint8_t* data = reinterpret_cast<const uint8_t*>(bp);
auto table = IndirectHelper<T>::Read(data, 0);
// std::bsearch compares with the operands transposed, so we negate the
// result here.
return -table->KeyCompareWithValue(*key);
}
};
template <typename T>
using Vector64 = Vector<T, uoffset64_t>;
template <class U>
FLATBUFFERS_CONSTEXPR_CPP11 flatbuffers::span<U> make_span(Vector<U>& vec)
FLATBUFFERS_NOEXCEPT {
static_assert(Vector<U>::is_span_observable,
"wrong type U, only LE-scalar, or byte types are allowed");
return span<U>(vec.data(), vec.size());
}
template <class U>
FLATBUFFERS_CONSTEXPR_CPP11 flatbuffers::span<const U> make_span(
const Vector<U>& vec) FLATBUFFERS_NOEXCEPT {
static_assert(Vector<U>::is_span_observable,
"wrong type U, only LE-scalar, or byte types are allowed");
return span<const U>(vec.data(), vec.size());
}
template <class U>
FLATBUFFERS_CONSTEXPR_CPP11 flatbuffers::span<uint8_t> make_bytes_span(
Vector<U>& vec) FLATBUFFERS_NOEXCEPT {
static_assert(Vector<U>::scalar_tag::value,
"wrong type U, only LE-scalar, or byte types are allowed");
return span<uint8_t>(vec.Data(), vec.size() * sizeof(U));
}
template <class U>
FLATBUFFERS_CONSTEXPR_CPP11 flatbuffers::span<const uint8_t> make_bytes_span(
const Vector<U>& vec) FLATBUFFERS_NOEXCEPT {
static_assert(Vector<U>::scalar_tag::value,
"wrong type U, only LE-scalar, or byte types are allowed");
return span<const uint8_t>(vec.Data(), vec.size() * sizeof(U));
}
// Convenient helper functions to get a span of any vector, regardless
// of whether it is null or not (the field is not set).
template <class U>
FLATBUFFERS_CONSTEXPR_CPP11 flatbuffers::span<U> make_span(Vector<U>* ptr)
FLATBUFFERS_NOEXCEPT {
static_assert(Vector<U>::is_span_observable,
"wrong type U, only LE-scalar, or byte types are allowed");
return ptr ? make_span(*ptr) : span<U>();
}
template <class U>
FLATBUFFERS_CONSTEXPR_CPP11 flatbuffers::span<const U> make_span(
const Vector<U>* ptr) FLATBUFFERS_NOEXCEPT {
static_assert(Vector<U>::is_span_observable,
"wrong type U, only LE-scalar, or byte types are allowed");
return ptr ? make_span(*ptr) : span<const U>();
}
// Represent a vector much like the template above, but in this case we
// don't know what the element types are (used with reflection.h).
class VectorOfAny {
public:
uoffset_t size() const { return EndianScalar(length_); }
const uint8_t* Data() const {
return reinterpret_cast<const uint8_t*>(&length_ + 1);
}
uint8_t* Data() { return reinterpret_cast<uint8_t*>(&length_ + 1); }
protected:
VectorOfAny();
uoffset_t length_;
private:
VectorOfAny(const VectorOfAny&);
VectorOfAny& operator=(const VectorOfAny&);
};
template <typename T, typename U>
Vector<Offset<T>>* VectorCast(Vector<Offset<U>>* ptr) {
static_assert(std::is_base_of<T, U>::value, "Unrelated types");
return reinterpret_cast<Vector<Offset<T>>*>(ptr);
}
template <typename T, typename U>
const Vector<Offset<T>>* VectorCast(const Vector<Offset<U>>* ptr) {
static_assert(std::is_base_of<T, U>::value, "Unrelated types");
return reinterpret_cast<const Vector<Offset<T>>*>(ptr);
}
// Convenient helper function to get the length of any vector, regardless
// of whether it is null or not (the field is not set).
template <typename T>
static inline size_t VectorLength(const Vector<T>* v) {
return v ? v->size() : 0;
}
} // namespace flatbuffers
#endif // FLATBUFFERS_VERIFIER_H_
@@ -1,298 +0,0 @@
/*
* Copyright 2021 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_VECTOR_DOWNWARD_H_
#define FLATBUFFERS_VECTOR_DOWNWARD_H_
#include <algorithm>
#include <cstdint>
#include "flatbuffers/base.h"
#include "flatbuffers/default_allocator.h"
#include "flatbuffers/detached_buffer.h"
namespace flatbuffers {
// This is a minimal replication of std::vector<uint8_t> functionality,
// except growing from higher to lower addresses. i.e. push_back() inserts data
// in the lowest address in the vector.
// Since this vector leaves the lower part unused, we support a "scratch-pad"
// that can be stored there for temporary data, to share the allocated space.
// Essentially, this supports 2 std::vectors in a single buffer.
template <typename SizeT = uoffset_t>
class vector_downward {
public:
explicit vector_downward(size_t initial_size, Allocator* allocator,
bool own_allocator, size_t buffer_minalign,
const SizeT max_size = FLATBUFFERS_MAX_BUFFER_SIZE)
: allocator_(allocator),
own_allocator_(own_allocator),
initial_size_(initial_size),
max_size_(max_size),
buffer_minalign_(buffer_minalign),
reserved_(0),
size_(0),
buf_(nullptr),
cur_(nullptr),
scratch_(nullptr) {}
vector_downward(vector_downward&& other) noexcept
// clang-format on
: allocator_(other.allocator_),
own_allocator_(other.own_allocator_),
initial_size_(other.initial_size_),
max_size_(other.max_size_),
buffer_minalign_(other.buffer_minalign_),
reserved_(other.reserved_),
size_(other.size_),
buf_(other.buf_),
cur_(other.cur_),
scratch_(other.scratch_) {
// No change in other.allocator_
// No change in other.initial_size_
// No change in other.buffer_minalign_
other.own_allocator_ = false;
other.reserved_ = 0;
other.buf_ = nullptr;
other.cur_ = nullptr;
other.scratch_ = nullptr;
}
vector_downward& operator=(vector_downward&& other) noexcept {
// Move construct a temporary and swap idiom
vector_downward temp(std::move(other));
swap(temp);
return *this;
}
~vector_downward() {
clear_buffer();
clear_allocator();
}
void reset() {
clear_buffer();
clear();
}
void clear() {
if (buf_) {
cur_ = buf_ + reserved_;
} else {
reserved_ = 0;
cur_ = nullptr;
}
size_ = 0;
clear_scratch();
}
void clear_scratch() { scratch_ = buf_; }
void clear_allocator() {
if (own_allocator_ && allocator_) {
delete allocator_;
}
allocator_ = nullptr;
own_allocator_ = false;
}
void clear_buffer() {
if (buf_) Deallocate(allocator_, buf_, reserved_);
buf_ = nullptr;
}
// Relinquish the pointer to the caller.
uint8_t* release_raw(size_t& allocated_bytes, size_t& offset) {
auto* buf = buf_;
allocated_bytes = reserved_;
offset = vector_downward::offset();
// release_raw only relinquishes the buffer ownership.
// Does not deallocate or reset the allocator. Destructor will do that.
buf_ = nullptr;
clear();
return buf;
}
// Relinquish the pointer to the caller.
DetachedBuffer release() {
// allocator ownership (if any) is transferred to DetachedBuffer.
DetachedBuffer fb(allocator_, own_allocator_, buf_, reserved_, cur_,
size());
if (own_allocator_) {
allocator_ = nullptr;
own_allocator_ = false;
}
buf_ = nullptr;
clear();
return fb;
}
size_t ensure_space(size_t len) {
FLATBUFFERS_ASSERT(cur_ >= scratch_ && scratch_ >= buf_);
// If the length is larger than the unused part of the buffer, we need to
// grow.
if (len > unused_buffer_size()) {
reallocate(len);
}
FLATBUFFERS_ASSERT(size() < max_size_);
return len;
}
inline uint8_t* make_space(size_t len) {
if (len) {
ensure_space(len);
cur_ -= len;
size_ += static_cast<SizeT>(len);
}
return cur_;
}
// Returns nullptr if using the DefaultAllocator.
Allocator* get_custom_allocator() { return allocator_; }
// The current offset into the buffer.
size_t offset() const { return cur_ - buf_; }
// The total size of the vector (both the buffer and scratch parts).
inline SizeT size() const { return size_; }
// The size of the buffer part of the vector that is currently unused.
SizeT unused_buffer_size() const {
return static_cast<SizeT>(cur_ - scratch_);
}
// The size of the scratch part of the vector.
SizeT scratch_size() const { return static_cast<SizeT>(scratch_ - buf_); }
size_t capacity() const { return reserved_; }
uint8_t* data() const {
FLATBUFFERS_ASSERT(cur_);
return cur_;
}
uint8_t* scratch_data() const {
FLATBUFFERS_ASSERT(buf_);
return buf_;
}
uint8_t* scratch_end() const {
FLATBUFFERS_ASSERT(scratch_);
return scratch_;
}
uint8_t* data_at(size_t offset) const { return buf_ + reserved_ - offset; }
void push(const uint8_t* bytes, size_t num) {
if (num > 0) {
memcpy(make_space(num), bytes, num);
}
}
// Specialized version of push() that avoids memcpy call for small data.
template <typename T>
void push_small(const T& little_endian_t) {
make_space(sizeof(T));
*reinterpret_cast<T*>(cur_) = little_endian_t;
}
template <typename T>
void scratch_push_small(const T& t) {
ensure_space(sizeof(T));
*reinterpret_cast<T*>(scratch_) = t;
scratch_ += sizeof(T);
}
// fill() is most frequently called with small byte counts (<= 4),
// which is why we're using loops rather than calling memset.
void fill(size_t zero_pad_bytes) {
make_space(zero_pad_bytes);
for (size_t i = 0; i < zero_pad_bytes; i++) cur_[i] = 0;
}
// Version for when we know the size is larger.
// Precondition: zero_pad_bytes > 0
void fill_big(size_t zero_pad_bytes) {
memset(make_space(zero_pad_bytes), 0, zero_pad_bytes);
}
void pop(size_t bytes_to_remove) {
cur_ += bytes_to_remove;
size_ -= static_cast<SizeT>(bytes_to_remove);
}
void scratch_pop(size_t bytes_to_remove) { scratch_ -= bytes_to_remove; }
void swap(vector_downward& other) {
using std::swap;
swap(allocator_, other.allocator_);
swap(own_allocator_, other.own_allocator_);
swap(initial_size_, other.initial_size_);
swap(buffer_minalign_, other.buffer_minalign_);
swap(reserved_, other.reserved_);
swap(size_, other.size_);
swap(max_size_, other.max_size_);
swap(buf_, other.buf_);
swap(cur_, other.cur_);
swap(scratch_, other.scratch_);
}
void swap_allocator(vector_downward& other) {
using std::swap;
swap(allocator_, other.allocator_);
swap(own_allocator_, other.own_allocator_);
}
private:
// You shouldn't really be copying instances of this class.
FLATBUFFERS_DELETE_FUNC(vector_downward(const vector_downward&));
FLATBUFFERS_DELETE_FUNC(vector_downward& operator=(const vector_downward&));
Allocator* allocator_;
bool own_allocator_;
size_t initial_size_;
// The maximum size the vector can be.
SizeT max_size_;
size_t buffer_minalign_;
size_t reserved_;
SizeT size_;
uint8_t* buf_;
uint8_t* cur_; // Points at location between empty (below) and used (above).
uint8_t* scratch_; // Points to the end of the scratchpad in use.
void reallocate(size_t len) {
auto old_reserved = reserved_;
auto old_size = size();
auto old_scratch_size = scratch_size();
reserved_ +=
(std::max)(len, old_reserved ? old_reserved / 2 : initial_size_);
reserved_ = (reserved_ + buffer_minalign_ - 1) & ~(buffer_minalign_ - 1);
if (buf_) {
buf_ = ReallocateDownward(allocator_, buf_, old_reserved, reserved_,
old_size, old_scratch_size);
} else {
buf_ = Allocate(allocator_, reserved_);
}
cur_ = buf_ + reserved_ - old_size;
scratch_ = buf_ + old_scratch_size;
}
};
} // namespace flatbuffers
#endif // FLATBUFFERS_VECTOR_DOWNWARD_H_
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/*
* Copyright 2021 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_VERIFIER_H_
#define FLATBUFFERS_VERIFIER_H_
#include "flatbuffers/base.h"
#include "flatbuffers/vector.h"
namespace flatbuffers {
// Helper class to verify the integrity of a FlatBuffer
template <bool TrackVerifierBufferSize>
class VerifierTemplate FLATBUFFERS_FINAL_CLASS {
public:
struct Options {
// The maximum nesting of tables and vectors before we call it invalid.
uoffset_t max_depth = 64;
// The maximum number of tables we will verify before we call it invalid.
uoffset_t max_tables = 1000000;
// If true, verify all data is aligned.
bool check_alignment = true;
// If true, run verifier on nested flatbuffers
bool check_nested_flatbuffers = true;
// The maximum size of a buffer.
size_t max_size = FLATBUFFERS_MAX_BUFFER_SIZE;
// Use assertions to check for errors.
bool assert = false;
};
explicit VerifierTemplate(const uint8_t* const buf, const size_t buf_len,
const Options& opts)
: buf_(buf), size_(buf_len), opts_(opts) {
FLATBUFFERS_ASSERT(size_ < opts.max_size);
}
// Deprecated API, please construct with VerifierTemplate::Options.
VerifierTemplate(const uint8_t* const buf, const size_t buf_len,
const uoffset_t max_depth = 64,
const uoffset_t max_tables = 1000000,
const bool check_alignment = true)
: VerifierTemplate(buf, buf_len, [&] {
Options opts;
opts.max_depth = max_depth;
opts.max_tables = max_tables;
opts.check_alignment = check_alignment;
return opts;
}()) {}
// Central location where any verification failures register.
bool Check(const bool ok) const {
// clang-format off
#ifdef FLATBUFFERS_DEBUG_VERIFICATION_FAILURE
if (opts_.assert) { FLATBUFFERS_ASSERT(ok); }
#endif
// clang-format on
if (TrackVerifierBufferSize) {
if (!ok) {
upper_bound_ = 0;
}
}
return ok;
}
// Verify any range within the buffer.
bool Verify(const size_t elem, const size_t elem_len) const {
if (TrackVerifierBufferSize) {
auto upper_bound = elem + elem_len;
if (upper_bound_ < upper_bound) {
upper_bound_ = upper_bound;
}
}
return Check(elem_len < size_ && elem <= size_ - elem_len);
}
bool VerifyAlignment(const size_t elem, const size_t align) const {
return Check((elem & (align - 1)) == 0 || !opts_.check_alignment);
}
// Verify a range indicated by sizeof(T).
template <typename T>
bool Verify(const size_t elem) const {
return VerifyAlignment(elem, sizeof(T)) && Verify(elem, sizeof(T));
}
bool VerifyFromPointer(const uint8_t* const p, const size_t len) {
return Verify(static_cast<size_t>(p - buf_), len);
}
// Verify relative to a known-good base pointer.
bool VerifyFieldStruct(const uint8_t* const base, const voffset_t elem_off,
const size_t elem_len, const size_t align) const {
const auto f = static_cast<size_t>(base - buf_) + elem_off;
return VerifyAlignment(f, align) && Verify(f, elem_len);
}
template <typename T>
bool VerifyField(const uint8_t* const base, const voffset_t elem_off,
const size_t align) const {
const auto f = static_cast<size_t>(base - buf_) + elem_off;
return VerifyAlignment(f, align) && Verify(f, sizeof(T));
}
// Verify a pointer (may be NULL) of a table type.
template <typename T>
bool VerifyTable(const T* const table) {
return !table || table->Verify(*this);
}
// Verify a pointer (may be NULL) of any vector type.
template <int&..., typename T, typename LenT>
bool VerifyVector(const Vector<T, LenT>* const vec) const {
return !vec || VerifyVectorOrString<LenT>(
reinterpret_cast<const uint8_t*>(vec), sizeof(T));
}
// Verify a pointer (may be NULL) of a vector to struct.
template <int&..., typename T, typename LenT>
bool VerifyVector(const Vector<const T*, LenT>* const vec) const {
return VerifyVector(reinterpret_cast<const Vector<T, LenT>*>(vec));
}
// Verify a pointer (may be NULL) to string.
bool VerifyString(const String* const str) const {
size_t end;
return !str || (VerifyVectorOrString<uoffset_t>(
reinterpret_cast<const uint8_t*>(str), 1, &end) &&
Verify(end, 1) && // Must have terminator
Check(buf_[end] == '\0')); // Terminating byte must be 0.
}
// Common code between vectors and strings.
template <typename LenT = uoffset_t>
bool VerifyVectorOrString(const uint8_t* const vec, const size_t elem_size,
size_t* const end = nullptr) const {
const auto vec_offset = static_cast<size_t>(vec - buf_);
// Check we can read the size field.
if (!Verify<LenT>(vec_offset)) return false;
// Check the whole array. If this is a string, the byte past the array must
// be 0.
const LenT size = ReadScalar<LenT>(vec);
const auto max_elems = opts_.max_size / elem_size;
if (!Check(size < max_elems))
return false; // Protect against byte_size overflowing.
const auto byte_size = sizeof(LenT) + elem_size * size;
if (end) *end = vec_offset + byte_size;
return Verify(vec_offset, byte_size);
}
// Special case for string contents, after the above has been called.
bool VerifyVectorOfStrings(const Vector<Offset<String>>* const vec) const {
if (vec) {
for (uoffset_t i = 0; i < vec->size(); i++) {
if (!VerifyString(vec->Get(i))) return false;
}
}
return true;
}
// Special case for table contents, after the above has been called.
template <typename T>
bool VerifyVectorOfTables(const Vector<Offset<T>>* const vec) {
if (vec) {
for (uoffset_t i = 0; i < vec->size(); i++) {
if (!vec->Get(i)->Verify(*this)) return false;
}
}
return true;
}
FLATBUFFERS_SUPPRESS_UBSAN("unsigned-integer-overflow")
bool VerifyTableStart(const uint8_t* const table) {
// Check the vtable offset.
const auto tableo = static_cast<size_t>(table - buf_);
if (!Verify<soffset_t>(tableo)) return false;
// This offset may be signed, but doing the subtraction unsigned always
// gives the result we want.
const auto vtableo =
tableo - static_cast<size_t>(ReadScalar<soffset_t>(table));
// Check the vtable size field, then check vtable fits in its entirety.
if (!(VerifyComplexity() && Verify<voffset_t>(vtableo) &&
VerifyAlignment(ReadScalar<voffset_t>(buf_ + vtableo),
sizeof(voffset_t))))
return false;
const auto vsize = ReadScalar<voffset_t>(buf_ + vtableo);
return Check((vsize & 1) == 0) && Verify(vtableo, vsize);
}
template <typename T>
bool VerifyBufferFromStart(const char* const identifier, const size_t start) {
// Buffers have to be of some size to be valid. The reason it is a runtime
// check instead of static_assert, is that nested flatbuffers go through
// this call and their size is determined at runtime.
if (!Check(size_ >= FLATBUFFERS_MIN_BUFFER_SIZE)) return false;
// If an identifier is provided, check that we have a buffer
if (identifier && !Check((size_ >= 2 * sizeof(flatbuffers::uoffset_t) &&
BufferHasIdentifier(buf_ + start, identifier)))) {
return false;
}
// Call T::Verify, which must be in the generated code for this type.
const auto o = VerifyOffset<uoffset_t>(start);
if (!Check(o != 0)) return false;
if (!(reinterpret_cast<const T*>(buf_ + start + o)->Verify(*this))) {
return false;
}
if (TrackVerifierBufferSize) {
if (GetComputedSize() == 0) return false;
}
return true;
}
template <typename T, int&..., typename SizeT>
bool VerifyNestedFlatBuffer(const Vector<uint8_t, SizeT>* const buf,
const char* const identifier) {
// Caller opted out of this.
if (!opts_.check_nested_flatbuffers) return true;
// An empty buffer is OK as it indicates not present.
if (!buf) return true;
// If there is a nested buffer, it must be greater than the min size.
if (!Check(buf->size() >= FLATBUFFERS_MIN_BUFFER_SIZE)) return false;
VerifierTemplate<TrackVerifierBufferSize> nested_verifier(
buf->data(), buf->size(), opts_);
return nested_verifier.VerifyBuffer<T>(identifier);
}
// Verify this whole buffer, starting with root type T.
template <typename T>
bool VerifyBuffer() {
return VerifyBuffer<T>(nullptr);
}
template <typename T>
bool VerifyBuffer(const char* const identifier) {
return VerifyBufferFromStart<T>(identifier, 0);
}
template <typename T, typename SizeT = uoffset_t>
bool VerifySizePrefixedBuffer(const char* const identifier) {
return Verify<SizeT>(0U) &&
// Ensure the prefixed size is within the bounds of the provided
// length.
Check(ReadScalar<SizeT>(buf_) + sizeof(SizeT) <= size_) &&
VerifyBufferFromStart<T>(identifier, sizeof(SizeT));
}
template <typename OffsetT = uoffset_t, typename SOffsetT = soffset_t>
size_t VerifyOffset(const size_t start) const {
if (!Verify<OffsetT>(start)) return 0;
const auto o = ReadScalar<OffsetT>(buf_ + start);
// May not point to itself.
if (!Check(o != 0)) return 0;
// Can't wrap around larger than the max size.
if (!Check(static_cast<SOffsetT>(o) >= 0)) return 0;
// Must be inside the buffer to create a pointer from it (pointer outside
// buffer is UB).
if (!Verify(start + o, 1)) return 0;
return o;
}
template <typename OffsetT = uoffset_t>
size_t VerifyOffset(const uint8_t* const base, const voffset_t start) const {
return VerifyOffset<OffsetT>(static_cast<size_t>(base - buf_) + start);
}
// Called at the start of a table to increase counters measuring data
// structure depth and amount, and possibly bails out with false if limits set
// by the constructor have been hit. Needs to be balanced with EndTable().
bool VerifyComplexity() {
depth_++;
num_tables_++;
return Check(depth_ <= opts_.max_depth && num_tables_ <= opts_.max_tables);
}
// Called at the end of a table to pop the depth count.
bool EndTable() {
depth_--;
return true;
}
// Returns the message size in bytes.
//
// This should only be called after first calling VerifyBuffer or
// VerifySizePrefixedBuffer.
//
// This method should only be called for VerifierTemplate instances
// where the TrackVerifierBufferSize template parameter is true,
// i.e. for SizeVerifier. For instances where TrackVerifierBufferSize
// is false, this fails at runtime or returns zero.
size_t GetComputedSize() const {
if (TrackVerifierBufferSize) {
uintptr_t size = upper_bound_;
// Align the size to uoffset_t
size = (size - 1 + sizeof(uoffset_t)) & ~(sizeof(uoffset_t) - 1);
return (size > size_) ? 0 : size;
}
// Must use SizeVerifier, or (deprecated) turn on
// FLATBUFFERS_TRACK_VERIFIER_BUFFER_SIZE, for this to work.
(void)upper_bound_;
FLATBUFFERS_ASSERT(false);
return 0;
}
std::vector<uint8_t>* GetFlexReuseTracker() { return flex_reuse_tracker_; }
void SetFlexReuseTracker(std::vector<uint8_t>* const rt) {
flex_reuse_tracker_ = rt;
}
private:
const uint8_t* buf_;
const size_t size_;
const Options opts_;
mutable size_t upper_bound_ = 0;
uoffset_t depth_ = 0;
uoffset_t num_tables_ = 0;
std::vector<uint8_t>* flex_reuse_tracker_ = nullptr;
};
// Specialization for 64-bit offsets.
template <>
template <>
inline size_t VerifierTemplate<false>::VerifyOffset<uoffset64_t>(
const size_t start) const {
return VerifyOffset<uoffset64_t, soffset64_t>(start);
}
template <>
template <>
inline size_t VerifierTemplate<true>::VerifyOffset<uoffset64_t>(
const size_t start) const {
return VerifyOffset<uoffset64_t, soffset64_t>(start);
}
// Instance of VerifierTemplate that supports GetComputedSize().
using SizeVerifier = VerifierTemplate</*TrackVerifierBufferSize = */ true>;
// The FLATBUFFERS_TRACK_VERIFIER_BUFFER_SIZE build configuration macro is
// deprecated, and should not be defined, since it is easy to misuse in ways
// that result in ODR violations. Rather than using Verifier and defining
// FLATBUFFERS_TRACK_VERIFIER_BUFFER_SIZE, please use SizeVerifier instead.
#ifdef FLATBUFFERS_TRACK_VERIFIER_BUFFER_SIZE // Deprecated, see above.
using Verifier = SizeVerifier;
#else
// Instance of VerifierTemplate that is slightly faster, but does not
// support GetComputedSize().
using Verifier = VerifierTemplate</*TrackVerifierBufferSize = */ false>;
#endif
} // namespace flatbuffers
#endif // FLATBUFFERS_VERIFIER_H_
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# ----------------------------------------------------------------------------
# CMake file for the bundled HarfBuzz text-shaping library. See root CMakeLists.txt
#
# OpenCV vendors a minimal subset of HarfBuzz (core + HB_HAS_RASTER) as a
# normal static library: each .cc is a separate translation unit. The subset
# is produced by hb_extract.py (see that script to update HarfBuzz).
# ----------------------------------------------------------------------------
project(${HARFBUZZ_LIBRARY} CXX)
ocv_include_directories("${CMAKE_CURRENT_SOURCE_DIR}/src")
# Every .cc copied by hb_extract.py is a real translation unit (the script
# never copies non-TU .cc files), so a plain recursive glob is exactly right.
file(GLOB_RECURSE lib_srcs src/*.cc)
file(GLOB_RECURSE lib_hdrs src/*.h src/*.hh)
# HarfBuzz is built with HB_TINY for minimum footprint. Because we request the
# software rasterizer (HB_HAS_RASTER, defined below), HB_TINY does NOT disable
# the draw/paint/color APIs nor CFF (PostScript/.otf
# outlines) -- see hb-config.hh: HB_NO_DRAW/COLOR/PAINT and the TINY->HB_NO_CFF
# rule only trigger when no HB_HAS_* backend is requested. So CFF (CJK/Indic),
# COLR/CPAL color and our rasterizer all survive HB_TINY.
#
# Two features HB_TINY (via HB_LEAN) would otherwise drop are restored through
# HarfBuzz's config-override hook (hb-opencv-config.hh): thread-safety (HB_NO_MT)
# and variable fonts (HB_NO_VAR). No platform backends (CoreText/DirectWrite/...).
add_library(${HARFBUZZ_LIBRARY} STATIC ${OPENCV_3RDPARTY_EXCLUDE_FROM_ALL} ${lib_srcs} ${lib_hdrs})
target_compile_definitions(${HARFBUZZ_LIBRARY} PRIVATE
HB_TINY
HB_HAS_RASTER # request the software rasterizer: keeps draw/paint/color + CFF under HB_TINY
"HB_CONFIG_OVERRIDE_H=\"hb-opencv-config.hh\"")
set_target_properties(${HARFBUZZ_LIBRARY} PROPERTIES
CXX_STANDARD 17
CXX_STANDARD_REQUIRED ON
)
ocv_warnings_disable(CMAKE_CXX_FLAGS
-Wunused-variable -Wunused-function -Wunused-parameter
-Wunused-but-set-variable # clang15/gcc
-Wshadow
-Wmissing-declarations # gcc
-Wmissing-prototypes # clang
-Wimplicit-fallthrough
-Wextra-semi # clang
-Wdeprecated-copy # gcc/clang
-Wsuggest-override
-Wcast-function-type
-Wclass-memaccess # gcc
-Wexpansion-to-defined
)
ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4244 /wd4267 /wd4127 /wd4146 /wd4456 /wd4459) # MSVC
set_target_properties(${HARFBUZZ_LIBRARY}
PROPERTIES OUTPUT_NAME ${HARFBUZZ_LIBRARY}
DEBUG_POSTFIX "${OPENCV_DEBUG_POSTFIX}"
COMPILE_PDB_NAME ${HARFBUZZ_LIBRARY}
COMPILE_PDB_NAME_DEBUG "${HARFBUZZ_LIBRARY}${OPENCV_DEBUG_POSTFIX}"
ARCHIVE_OUTPUT_DIRECTORY ${3P_LIBRARY_OUTPUT_PATH}
)
if(ENABLE_SOLUTION_FOLDERS)
set_target_properties(${HARFBUZZ_LIBRARY} PROPERTIES FOLDER "3rdparty")
endif()
if(NOT BUILD_SHARED_LIBS)
ocv_install_target(${HARFBUZZ_LIBRARY} EXPORT OpenCVModules ARCHIVE DESTINATION ${OPENCV_3P_LIB_INSTALL_PATH} COMPONENT dev OPTIONAL)
endif()
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HarfBuzz is licensed under the so-called "Old MIT" license. Details follow.
For parts of HarfBuzz that are licensed under different licenses see individual
files names COPYING in subdirectories where applicable.
Copyright © 2010-2022 Google, Inc.
Copyright © 2015-2020 Ebrahim Byagowi
Copyright © 2019,2020 Facebook, Inc.
Copyright © 2012,2015 Mozilla Foundation
Copyright © 2011 Codethink Limited
Copyright © 2008,2010 Nokia Corporation and/or its subsidiary(-ies)
Copyright © 2009 Keith Stribley
Copyright © 2011 Martin Hosken and SIL International
Copyright © 2007 Chris Wilson
Copyright © 2005,2006,2020,2021,2022,2023 Behdad Esfahbod
Copyright © 2004,2007,2008,2009,2010,2013,2021,2022,2023 Red Hat, Inc.
Copyright © 1998-2005 David Turner and Werner Lemberg
Copyright © 2016 Igalia S.L.
Copyright © 2022 Matthias Clasen
Copyright © 2018,2021 Khaled Hosny
Copyright © 2018,2019,2020 Adobe, Inc
Copyright © 2013-2015 Alexei Podtelezhnikov
For full copyright notices consult the individual files in the package.
Permission is hereby granted, without written agreement and without
license or royalty fees, to use, copy, modify, and distribute this
software and its documentation for any purpose, provided that the
above copyright notice and the following two paragraphs appear in
all copies of this software.
IN NO EVENT SHALL THE COPYRIGHT HOLDER BE LIABLE TO ANY PARTY FOR
DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES
ARISING OUT OF THE USE OF THIS SOFTWARE AND ITS DOCUMENTATION, EVEN
IF THE COPYRIGHT HOLDER HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH
DAMAGE.
THE COPYRIGHT HOLDER SPECIFICALLY DISCLAIMS ANY WARRANTIES, INCLUDING,
BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
FITNESS FOR A PARTICULAR PURPOSE. THE SOFTWARE PROVIDED HEREUNDER IS
ON AN "AS IS" BASIS, AND THE COPYRIGHT HOLDER HAS NO OBLIGATION TO
PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS.
-220
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# HarfBuzz
<div align="center">
<p><img src="HarfBuzz.png" alt="HarfBuzz Logo" width="256"/></p>
[![Linux CI Status](https://github.com/harfbuzz/harfbuzz/actions/workflows/linux.yml/badge.svg)](https://github.com/harfbuzz/harfbuzz/actions/workflows/linux.yml)
[![macoOS CI Status](https://github.com/harfbuzz/harfbuzz/actions/workflows/macos.yml/badge.svg)](https://github.com/harfbuzz/harfbuzz/actions/workflows/macos.yml)
[![Windows CI Status](https://github.com/harfbuzz/harfbuzz/actions/workflows/msvc.yml/badge.svg)](https://github.com/harfbuzz/harfbuzz/actions/workflows/msvc.yml)
[![OSS-Fuzz Status](https://oss-fuzz-build-logs.storage.googleapis.com/badges/harfbuzz.svg)](https://oss-fuzz-build-logs.storage.googleapis.com/index.html#harfbuzz)
[![Coverity Scan Build Status](https://scan.coverity.com/projects/15166/badge.svg)](https://scan.coverity.com/projects/harfbuzz)
[![Packaging status](https://repology.org/badge/tiny-repos/harfbuzz.svg)](https://repology.org/project/harfbuzz/versions)
[![OpenSSF Scorecard](https://api.securityscorecards.dev/projects/github.com/harfbuzz/harfbuzz/badge)](https://securityscorecards.dev/viewer/?uri=github.com/harfbuzz/harfbuzz)
</div>
HarfBuzz started as a text shaping engine but has grown into a
full font platform — the `ffmpeg` of text shaping. It primarily
supports [OpenType][1], but also [Apple Advanced Typography][2].
HarfBuzz shapes the majority of text on modern screens.
HarfBuzz is optimized for robustness, correctness, and performance
— in that order. Achieve all.
**[Try it live at harfbuzz-world.cc](https://harfbuzz-world.cc/)** — an interactive playground for shaping, subsetting, rasterization, vector output, and GPU rendering, all running in your browser.
Here is a quick map of its components:
### Core libraries
| Library | Description |
|---------|-------------|
| **libharfbuzz** | Text shaping, draw API, paint API. Highly configurable (see [CONFIG.md](CONFIG.md)). Optional integration backends compiled in: hb-ft (FreeType), hb-coretext (macOS), hb-uniscribe (Windows), hb-directwrite (Windows), hb-gdi (Windows), hb-glib, hb-graphite2. |
| **libharfbuzz-subset** | Font subsetting and variable-font instancing. |
### Auxiliary libraries
| Library | Description |
|---------|-------------|
| **libharfbuzz-icu** | ICU Unicode integration. |
| **libharfbuzz-cairo** | Cairo rendering integration. |
| **libharfbuzz-gobject** | GObject/GI bindings. |
### Experimental libraries
| Library | Description |
|---------|-------------|
| **libharfbuzz-raster** | Glyph rasterization to bitmaps, including color fonts. Uses hb-draw and hb-paint. |
| **libharfbuzz-vector** | Glyph output to vector formats (currently SVG), including color fonts. Uses hb-draw and hb-paint. |
| **libharfbuzz-gpu** | Encodes glyph outlines for GPU rasterization (Slug algorithm). Provides shader sources in GLSL, WGSL, MSL, and HLSL. [Live demo.](https://harfbuzz.github.io/hb-gpu-demo/) |
Notable missing feature: font hinting (including autohinting)
is not implemented. For hinted rasterization, use FreeType or
Skrifa.
For simplified builds, amalgamated sources are available:
`harfbuzz.cc` (just libharfbuzz), `harfbuzz-subset.cc` (just
libharfbuzz-subset), or `harfbuzz-world.cc` (everything, driven
by a custom `hb-features.h`). For a live in-browser playground
plus a worked example of the world.cc single-file build, see
[harfbuzz-world.cc][26].
### Command-line tools
| Tool | Description |
|------|-------------|
| **hb-shape** | Shape text and display glyph output. |
| **hb-view** | Render shaped text to an image. |
| **hb-subset** | Subset and optimize fonts. |
| **hb-info** | Display font metadata. |
| **hb-raster** | Render glyphs to bitmap images. |
| **hb-vector** | Render glyphs to vector formats (SVG). |
| **hb-gpu** | Interactive GPU text rendering. |
The canonical source tree and bug trackers are available on [github][4].
Both development and user support discussion around HarfBuzz happen on
[github][4] as well.
For license information, see [COPYING](COPYING).
## API stability
The API that comes with `hb.h` will not change incompatibly. Other, peripheral,
headers are more likely to go through minor modifications, but again, we do our
best to never change API in an incompatible way. We will never break the ABI.
The API and ABI are stable even across major version number jumps. In fact,
current HarfBuzz is API/ABI compatible all the way back to the 0.9.x series.
If one day we need to break the API/ABI, that would be called a new library.
As such, we bump the major version number only when we add major new features,
the minor version when there is new API, and the micro version when there
are bug fixes.
## Documentation
For user manual as well as API documentation, check: https://harfbuzz.github.io
## Download
Tarball releases and Win32/Win64 binary bundles are available on the
[github releases][3] page.
## Development
For build information, see [BUILD.md](BUILD.md).
For custom configurations, see [CONFIG.md](CONFIG.md).
For testing and profiling, see [TESTING.md](TESTING.md).
For using with Python, see [README.python.md](README.python.md). There is also [uharfbuzz](https://github.com/harfbuzz/uharfbuzz).
For cross-compiling to Windows from Linux or macOS, see [README.mingw.md](README.mingw.md).
To report bugs or submit patches please use [github][4] issues and pull-requests.
### Developer documents
To get a better idea of where HarfBuzz stands in the text rendering stack you
may want to read [State of Text Rendering 2024][6].
Here are a few presentation slides about HarfBuzz over the years:
- 2026 [HarfBuzz at 20!][25]
- 2016 [Ten Years of HarfBuzz][20]
- 2014 [Unicode, OpenType, and HarfBuzz: Closing the Circle][7]
- 2012 [HarfBuzz, The Free and Open Text Shaping Engine][8]
- 2009 [HarfBuzz: the Free and Open Shaping Engine][9]
More presentations and papers are available on [behdad][11]'s website.
In particular, the following _studies_ are relevant to HarfBuzz development:
- 2025 [AAT layout caches][24]
- 2025 [OpenType Layout lookup caches][23]
- 2025 [Introducing HarfRust][22]
- 2025 [Subsetting][21]
- 2025 [Caching][12]
- 2025 [`hb-decycler`][13]
- 2022 [`hb-iter`][14]
- 2022 [A C library written in C++][15]
- 2022 [The case of the slow `hb-ft` `>h_advance` function][18]
- 2022 [PackTab: A static integer table packer][16]
- 2020 [HarfBuzz OT+AAT "Unishaper"][19]
- 2014 [Building the Indic Shaper][17]
- 2012 [Memory Consumption][10]
## Name
HarfBuzz /hærfˈbɒːz/
From Persian حرف (*Harf*: letter) and باز (*Buzz*: open).
Transliteration of the Persian calque for *OpenType*.
As a noun: *The* Open Source *text shaping* engine.
As an adjective: Insincerely talkative; glib. A nod to the
GNOME project where HarfBuzz originates from.
The logo shows حرف‌باز in the IranNastaliq font, on a Damascus
steel background.
> Background: Originally there was this font format called TrueType. People and
> companies started calling their type engines all things ending in Type:
> FreeType, CoolType, ClearType, etc. And then came OpenType, which is the
> successor of TrueType. So, for my OpenType implementation, I decided to stick
> with the concept but use the Persian translation. Which is fitting given that
> Persian is written in the Arabic script, and OpenType is an extension of
> TrueType that adds support for complex script rendering, and HarfBuzz is an
> implementation of OpenType text shaping.
## Users
HarfBuzz is used in Android, Chrome, ChromeOS, Firefox, Flutter, GNOME, GTK+, KDE,
Qt, LibreOffice, OpenJDK, XeTeX, Adobe Photoshop, Illustrator, InDesign,
Microsoft Edge, Amazon Kindle, PlayStation, Godot Engine, Unreal Engine,
Figma, Canva, QuarkXPress, Scribus, smart TVs,
car displays, and many other places.
<p align="center">
<a href="https://xkcd.com/2347/" rel="nofollow">
<img src="xkcd.png" width="256" alt="xkcd-derived image">
</a>
</p>
## Distribution
<details>
<summary>Packaging status of HarfBuzz</summary>
[![Packaging status](https://repology.org/badge/vertical-allrepos/harfbuzz.svg?header=harfbuzz)](https://repology.org/project/harfbuzz/versions)
</details>
[1]: https://docs.microsoft.com/en-us/typography/opentype/spec/
[2]: https://developer.apple.com/fonts/TrueType-Reference-Manual/RM06/Chap6AATIntro.html
[3]: https://github.com/harfbuzz/harfbuzz/releases
[4]: https://github.com/harfbuzz/harfbuzz
[6]: https://behdad.org/text2024
[7]: https://docs.google.com/presentation/d/1x97pfbB1gbD53Yhz6-_yBUozQMVJ_5yMqqR_D-R7b7I/preview
[8]: https://docs.google.com/presentation/d/1ySTZaXP5XKFg0OpmHZM00v5b17GSr3ojnzJekl4U8qI/preview
[9]: https://behdad.org/doc/harfbuzz2009-slides.pdf
[10]: https://docs.google.com/document/d/12jfNpQJzeVIAxoUSpk7KziyINAa1msbGliyXqguS86M/preview
[11]: https://behdad.org/
[12]: https://docs.google.com/document/d/1_VgObf6Je0J8byMLsi7HCQHnKo2emGnx_ib_sHo-bt4/preview
[13]: https://docs.google.com/document/d/1Y-u08l9YhObRVObETZt1k8f_5lQdOix9TRH3zEXaoAw/preview
[14]: https://docs.google.com/document/d/1o-xvxCbgMe9JYFHLVnPjk01ZY_8Cj0vB9-KTI1d0nyk/preview
[15]: https://docs.google.com/document/d/18hI56KJpvXtwWbc9QSaz9zzhJwIMnrJ-zkAaKS-W-8k/preview
[16]: https://docs.google.com/document/d/1Xq3owVt61HVkJqbLFHl73il6pcTy6PdPJJ7bSouQiQw/preview
[17]: https://docs.google.com/document/d/1wMPwVNBvsIriamcyBO5aNs7Cdr8lmbwLJ8GmZBAswF4/preview
[18]: https://docs.google.com/document/d/1wskYbA-czBt57oH9gEuGf3sWbTx7bfOiEIcDs36-heo/preview
[19]: https://prezi.com/view/THNPJGFVDUCWoM20syev/
[20]: https://behdad.org/doc/harfbuzz10years-slides.pdf
[21]: https://docs.google.com/document/d/1_vZrt97OorJ0jA1YzJ29LRcGr3YGrNJANdOABjVZGEs/preview
[22]: https://docs.google.com/document/d/1aH_waagdEM5UhslQxCeFEb82ECBhPlZjy5_MwLNLBYo/preview
[23]: https://docs.google.com/document/d/1hRd5oYQJLrt0JuwWhEJWi7wh_9rbaIJkX6IR9DW7rZQ/preview
[24]: https://docs.google.com/document/d/1a3K6fHjsiWW36vSzwJwCwEBOgznunKs80PSpBbpfHiA/preview
[25]: https://docs.google.com/presentation/d/1o9Exz1c-Lr-dJjA8dcBn_Vl_Y37cupmFzmclMjBE_Bc/view
[26]: https://harfbuzz-world.cc/
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@@ -1,386 +0,0 @@
#!/usr/bin/env python3
"""
hb_extract.py -- copy the minimal subset of HarfBuzz sources used by OpenCV.
OpenCV vendors HarfBuzz as a normal static library: every .cc is a separate
translation unit (no unity / amalgamation build). This script reproduces the
exact src/ tree that OpenCV ships, from a pristine HarfBuzz checkout.
It does three things beyond a naive copy, all to keep the vendored tree small
and buildable with OpenCV's configuration (HB_TINY + HB_HAS_RASTER, see
CMakeLists.txt):
1. Copies the translation units that upstream `harfbuzz-world.cc` would
compile for the requested HB_HAS_* sections -- EXCEPT the ones that build
to an empty object under our config (see EMPTY_TUS). It never emits
`harfbuzz-world.cc` itself (we compile each .cc directly), and never
copies non-TU .cc files found under src/OT|graph (only real TUs from the
parsed world.cc lists are copied), so CMake's file(GLOB_RECURSE src/*.cc)
picks up exactly the right set.
2. Prunes headers down to the set actually reachable by #include from the
copied TUs (+ the public headers OpenCV includes). This automatically
drops the large amount of HarfBuzz src/ that we never compile -- GPU and
WASM backends, the subset/repacker graph, platform backends (CoreText/
DirectWrite/GDI/Uniscribe/Graphite2/GObject/Cairo), the vector-paint
backend, and headers used only by the skipped empty TUs -- without a
hardcoded blocklist.
3. Generates `hb-opencv-config.hh`, the config-override header CMakeLists.txt
points HB_CONFIG_OVERRIDE_H at. It re-enables thread-safety (HB_NO_MT) and
variable fonts (HB_NO_VAR) that HB_TINY would otherwise switch off. (It
does NOT generate upstream's hb-features.h: nothing we compile includes
it.)
Usage (to refresh this very directory, just point it at a harfbuzz checkout):
python hb_extract.py path/to/harfbuzz
The defaults already produce the OpenCV subset: output '.', features
HB_HAS_RASTER, and it also copies README.md + COPYING. Override only if needed:
-o DIR output root (default '.')
-f FLAGS comma-separated HB_HAS_* (default HB_HAS_RASTER)
-a FILES extra files (default README.md,COPYING)
--list-flags print available HB_HAS_* flags and exit
-a paths are relative to the harfbuzz repo root (parent of src/):
-a README.md -> copied to <out>/README.md
-a COPYING -> copied to <out>/COPYING
-a src/hb-raster.h -> copied to <out>/src/hb-raster.h
"""
import argparse
import posixpath
import re
import shutil
import sys
from pathlib import Path
# Translation units that compile to an EMPTY object (libtool: "has no symbols")
# under OpenCV's HarfBuzz configuration (HB_TINY + HB_HAS_RASTER => AAT, legacy
# fallback shaping, math, meta, name, buffer (de)serialize/verify and the style
# API are all compiled out). They contribute nothing, so we do not vendor them.
# Re-derive this list (from the libtool warnings of a clean libharfbuzz build)
# if the HarfBuzz configuration in CMakeLists.txt changes.
EMPTY_TUS = {
"hb-aat-layout.cc",
"hb-aat-map.cc",
"hb-buffer-serialize.cc",
"hb-buffer-verify.cc",
"hb-fallback-shape.cc",
"hb-ot-math.cc",
"hb-ot-meta.cc",
"hb-ot-name.cc",
"hb-raster.cc",
"hb-style.cc",
}
# Public headers OpenCV's text engine (drawing_text.cpp) includes directly.
# Used together with the copied TUs as the roots of the header-reachability
# prune.
SEED_PUBLIC_HEADERS = ("hb.h", "hb-ot.h", "hb-raster.h")
# Generated config-override header. CMakeLists.txt builds HarfBuzz with HB_TINY
# and HB_CONFIG_OVERRIDE_H="hb-opencv-config.hh"; this file is included by
# hb-config.hh after HB_TINY/HB_LEAN expand (so the #undef takes effect) but
# before the option-closure derives dependent macros.
OPENCV_CONFIG_HH = '''\
/*
* OpenCV-specific HarfBuzz configuration override. GENERATED by hb_extract.py.
*
* HarfBuzz is built with HB_TINY (see 3rdparty/harfbuzz/CMakeLists.txt) for the
* smallest possible footprint. HB_TINY pulls in HB_LEAN + HB_MINI, which would
* disable two features that OpenCV's text engine relies on. We restore them
* here.
*
* This file is included by hb-config.hh via HB_CONFIG_OVERRIDE_H, i.e. AFTER
* HB_TINY/HB_LEAN/HB_MINI have expanded their macros (so the #undef below takes
* effect) but BEFORE the "closure of options" derives dependent macros (e.g.
* HB_NO_VAR_COMPOSITES from HB_NO_VAR). That ordering is what makes a plain
* #undef sufficient.
*
* HB_NO_MT - keep thread-safety. hb_font_t instances live inside cv::FontFace
* objects, NOT in the thread_local FontRenderEngine, so a single
* FontFace (and its hb_font_t) can be shared across threads; its
* reference counting must stay atomic.
*
* HB_NO_VAR - keep variable-font support: the 'wght' axis used for synthetic
* weights and named-instance/axis queries (hb_font_set_variations,
* hb_ot_var_*). Variable fonts are a primary reason OpenCV adopted
* HarfBuzz, so this must remain enabled.
*/
#undef HB_NO_MT
#undef HB_NO_VAR
'''
OPENCV_CONFIG_NAME = "hb-opencv-config.hh"
def parse_world_cc(path):
"""Return (core_files, sections) parsed from harfbuzz-world.cc.
core_files -- list of .cc paths (relative to src/) in the unconditional
"Core library" section.
sections -- dict HB_HAS_XXX -> list of .cc paths from that #ifdef block.
"""
lines = path.read_text(encoding="utf-8").splitlines()
include_re = re.compile(r'^\s*#include\s+"([^"]+\.cc)"')
core_files = []
sections = {}
STATE_PREAMBLE, STATE_CORE, STATE_IFDEF = "preamble", "core", "ifdef"
state = STATE_PREAMBLE
current_flag = None
ifdef_depth = 0
for line in lines:
if state == STATE_PREAMBLE:
if "/* Core library." in line:
state = STATE_CORE
elif state == STATE_CORE:
m = include_re.match(line)
if m:
core_files.append(m.group(1))
else:
m = re.match(r"^\s*#ifdef\s+(HB_HAS_\w+)", line)
if m:
current_flag = m.group(1)
sections[current_flag] = []
state = STATE_IFDEF
ifdef_depth = 1
elif state == STATE_IFDEF:
if re.match(r"^\s*#if", line):
ifdef_depth += 1
elif re.match(r"^\s*#endif", line):
ifdef_depth -= 1
if ifdef_depth == 0:
state = STATE_CORE
current_flag = None
else:
m = include_re.match(line)
if m and current_flag is not None:
sections[current_flag].append(m.group(1))
return core_files, sections
def copy_files(file_list, src_dir, out_src_dir, label=""):
skipped = []
for rel in file_list:
if Path(rel).name in EMPTY_TUS:
skipped.append(rel)
continue
src = src_dir / rel
dst = out_src_dir / rel
dst.parent.mkdir(parents=True, exist_ok=True)
if not src.exists():
print(f" [WARN] not found: {src}", file=sys.stderr)
continue
shutil.copy2(src, dst)
print(f" [{label or 'core'}] src/{rel}")
for rel in skipped:
print(f" [skip-empty] src/{rel}")
def copy_headers(src_dir, out_src_dir, public_h=True):
"""Copy all candidate headers: src/*.hh, src/*.h (public API), and *.h/*.hh
from src/OT/** and src/graph/**. The unreferenced ones are removed later by
prune_unreferenced_headers().
NOTE: .cc files under OT/ and graph/ are intentionally NOT copied here --
the only ones we need are real translation units, copied via the parsed
world.cc lists. Copying e.g. src/graph/test-classdef-graph.cc would make
CMake's file(GLOB_RECURSE src/*.cc) try to compile a non-TU file.
"""
count = 0
def _copy(p):
nonlocal count
dst = out_src_dir / p.relative_to(src_dir)
dst.parent.mkdir(parents=True, exist_ok=True)
shutil.copy2(p, dst)
count += 1
for hdr in src_dir.glob("*.hh"):
_copy(hdr)
for subdir in ("OT", "graph"):
d = src_dir / subdir
if not d.exists():
continue
for hdr in d.rglob("*"):
if hdr.is_file() and hdr.suffix in (".h", ".hh"):
_copy(hdr)
if public_h:
for hdr in src_dir.glob("*.h"):
_copy(hdr)
return count
def prune_unreferenced_headers(out_src_dir):
"""Delete every header not reachable by #include from the copied TUs and the
public seed headers, then drop any directory left empty.
HarfBuzz's amalgamated src/ ships many headers we never compile (GPU/WASM
backends, subset/repacker graph, platform backends, vector-paint, and the
headers used only by the empty TUs we skip). Reachability removes them all
without a hardcoded list. The edge regex also treats any quoted "...h"/
"...hh" literal as an include, which covers the `#include HB_STRING_ARRAY_LIST`
macro-indirection trick (e.g. hb-ot-cff1-std-str.hh, hb-ot-post-macroman.hh).
"""
files = {p.relative_to(out_src_dir).as_posix()
for p in out_src_dir.rglob("*") if p.is_file()}
headers = {f for f in files if f.endswith((".h", ".hh"))}
edge_re = re.compile(r'#\s*include\s+["<]([^">]+)[">]|"([^"]+\.hh?)"')
def resolve(inc, including):
for cand in (posixpath.normpath(posixpath.join(posixpath.dirname(including), inc)),
posixpath.normpath(inc)):
if cand in files:
return cand
return None
seeds = {f for f in files if f.endswith(".cc")}
seeds |= {h for h in SEED_PUBLIC_HEADERS if h in files}
seen, stack = set(), list(seeds)
while stack:
cur = stack.pop()
if cur in seen:
continue
seen.add(cur)
try:
txt = (out_src_dir / cur).read_text(encoding="utf-8", errors="ignore")
except OSError:
continue
for m in edge_re.finditer(txt):
inc = m.group(1) or m.group(2)
r = resolve(inc, cur)
if r and r not in seen:
stack.append(r)
needed = {f for f in seen if f.endswith((".h", ".hh"))}
for h in sorted(headers - needed):
(out_src_dir / h).unlink()
print(f" [prune] src/{h}")
# remove directories left empty by pruning (deepest first)
for d in sorted((p for p in out_src_dir.rglob("*") if p.is_dir()),
key=lambda p: len(p.parts), reverse=True):
try:
d.rmdir()
except OSError:
pass
return len(headers - needed), len(needed)
def write_opencv_config_h(out_src_dir):
"""Generate hb-opencv-config.hh (the HB_CONFIG_OVERRIDE_H header)."""
(out_src_dir / OPENCV_CONFIG_NAME).write_text(OPENCV_CONFIG_HH, encoding="utf-8")
print(f" [gen] src/{OPENCV_CONFIG_NAME}")
def main():
parser = argparse.ArgumentParser(
description="Copy the OpenCV subset of HarfBuzz sources.",
formatter_class=argparse.RawDescriptionHelpFormatter,
epilog="""
examples:
python hb_extract.py ~/work/harfbuzz -o . -f HB_HAS_RASTER -a README.md,COPYING
python hb_extract.py ~/work/harfbuzz --list-flags
""",
)
parser.add_argument("harfbuzz_dir", metavar="harfbuzz-dir",
help="path to the harfbuzz repo root (contains src/)")
parser.add_argument("-o", "--output", metavar="DIR", default=".",
help="output root directory; sources go into DIR/src/ "
"(default: current directory)")
parser.add_argument("-f", "--features", metavar="FLAGS", default="HB_HAS_RASTER",
help="comma-separated HB_HAS_* flags (default: HB_HAS_RASTER)")
parser.add_argument("-a", "--add", metavar="FILES", default="README.md,COPYING",
help="comma-separated files relative to the harfbuzz repo "
"root (default: README.md,COPYING)")
parser.add_argument("--no-public-headers", action="store_true",
help="skip copying public src/*.h API headers "
"(OT/, graph/, *.hh are always copied)")
parser.add_argument("--list-flags", action="store_true",
help="list available HB_HAS_* flags and exit")
args = parser.parse_args()
repo_dir = Path(args.harfbuzz_dir).resolve()
world_cc_path = repo_dir / "src" / "harfbuzz-world.cc"
if not world_cc_path.exists():
print(f"error: {world_cc_path} not found", file=sys.stderr)
sys.exit(1)
src_dir = world_cc_path.parent
core_files, sections = parse_world_cc(world_cc_path)
if args.list_flags:
for flag, files in sorted(sections.items()):
print(f" {flag:<22} ({len(files)} .cc files)")
return
enabled_flags = [f.strip() for f in args.features.split(",") if f.strip()]
extra_files = [f.strip() for f in args.add.split(",") if f.strip()]
out_dir = Path(args.output).resolve()
out_src_dir = out_dir / "src"
# Start from a clean src/ so removed-upstream files do not linger.
if out_src_dir.exists():
shutil.rmtree(out_src_dir)
out_src_dir.mkdir(parents=True, exist_ok=True)
print(f"\nsource : {repo_dir}")
print(f"output : {out_dir}")
print(f"flags : {enabled_flags}\n")
print("core:")
copy_files(core_files, src_dir, out_src_dir)
for flag in enabled_flags:
flag_files = sections.get(flag)
if not flag_files:
print(f"\n[{flag}]: no .cc files (flag not found in harfbuzz-world.cc)")
continue
print(f"\n[{flag}]:")
copy_files(flag_files, src_dir, out_src_dir, label=flag)
if extra_files:
print("\nextra:")
for rel in extra_files:
src = repo_dir / rel
dst = out_dir / rel
dst.parent.mkdir(parents=True, exist_ok=True)
if not src.exists():
print(f" [WARN] not found: {src}", file=sys.stderr)
continue
shutil.copy2(src, dst)
print(f" [add] {rel}")
n = copy_headers(src_dir, out_src_dir,
public_h=not args.no_public_headers)
print(f"\nheaders: {n} files copied")
print("\nprune (unreferenced headers):")
removed, kept = prune_unreferenced_headers(out_src_dir)
print(f" removed {removed}, kept {kept}")
print("\ngenerated:")
write_opencv_config_h(out_src_dir)
all_cc = sorted(out_src_dir.rglob("*.cc"))
all_h = list(out_src_dir.rglob("*.h")) + list(out_src_dir.rglob("*.hh"))
print(f"\ndone: {len(all_cc)} .cc | {len(all_h)} headers -> {out_dir}")
if __name__ == "__main__":
main()

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