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Riccardo Mori bad3ebbaae [Polly][Isl] Stop generating isl::union_{set,map} from isl::space. NFC 
This is part of an effort to reduce the differences between the custom C++ bindings used right now by polly in `lib/External/isl/include/isl/isl-noxceptions.h` and the official isl C++ interface.

Changes made:
 - Stop generating `isl::union_set` and isl::union_map` from `isl::space` and instead generate them from `isl::ctx`
 - Disable clang-format on `isl-noexceptions.h`
 - Removed `isl::union_{set,map}` generator from `isl::space` from `isl-noexceptions.h`
 - `isl-noexceptions.h` has been generated by this 87c3413b6f

Reviewed By: Meinersbur

Differential Revision: https://reviews.llvm.org/D106059
 		2021-07-19 11:24:53 +02:00
..
cmake [Windows][Polly] Disable LLVMPolly module for all compilers on Windows 2020-09-15 09:12:38 +03:00
docs [Polly] Fix typo. NFC. 2021-07-13 22:36:22 -05:00
include/polly [Polly][Isl] Use isl::*::ctx instead of isl::*::get_ctx. NFC 2021-07-09 21:14:14 +02:00
lib [Polly][Isl] Stop generating isl::union_{set,map} from isl::space. NFC 2021-07-19 11:24:53 +02:00
test [Polly] Fix test after D104732. 2021-06-23 14:59:53 -05:00
tools Fix typos throughout the license files that somehow I and my reviewers 2019-01-21 09:52:34 +00:00
unittests [Polly][Isl] Stop generating isl::union_{set,map} from isl::space. NFC 2021-07-19 11:24:53 +02:00
utils Harmonize Python shebang 2020-07-16 21:53:45 +02:00
www [Branch-Rename] Fix some links 2021-02-01 16:43:21 +05:30
.arclint
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.gitattributes
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.gitignore
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CMakeLists.txt Remove .svn from exclude list as we moved to git 2020-10-21 16:09:21 +02:00
CREDITS.txt
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LICENSE.TXT Rename top-level LICENSE.txt files to LICENSE.TXT 2021-03-10 21:26:24 -08:00
README
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README 

Polly - Polyhedral optimizations for LLVM
-----------------------------------------
http://polly.llvm.org/

Polly uses a mathematical representation, the polyhedral model, to represent and
transform loops and other control flow structures. Using an abstract
representation it is possible to reason about transformations in a more general
way and to use highly optimized linear programming libraries to figure out the
optimal loop structure. These transformations can be used to do constant
propagation through arrays, remove dead loop iterations, optimize loops for
cache locality, optimize arrays, apply advanced automatic parallelization, drive
vectorization, or they can be used to do software pipelining.