<table border="1" cellspacing="0" cellpadding="8">
<tr>
<th>Issue</th>
<td>
<a href=https://github.com/llvm/llvm-project/issues/71153>71153</a>
</td>
</tr>
<tr>
<th>Summary</th>
<td>
[mlir] --inline crashed with assertion failure "succeeded(ConcreteT::verify(getDefaultDiagnosticEmitFn(ctx), args...))"
</td>
</tr>
<tr>
<th>Labels</th>
<td>
mlir
</td>
</tr>
<tr>
<th>Assignees</th>
<td>
</td>
</tr>
<tr>
<th>Reporter</th>
<td>
anonymousMCS
</td>
</tr>
</table>
<pre>
git version: a1358225c5b791fa9d901e74fb09606189c0e6af
system: ```Ubuntu 20.04.6 LTS (Focal Fossa)```
reproduced with: ```mlir-opt --inline a.mlir```
a.mlir:
```
func.func nested @func1() {
%c0 = arith.constant 0 : index
%c2 = arith.constant 2 : index
%c3 = arith.constant 3 : index
%c10 = arith.constant 10 : index
%c11 = arith.constant 11 : index
%c12 = arith.constant 12 : index
%c13 = arith.constant 13 : index
%c15 = arith.constant 15 : index
%c16 = arith.constant 16 : index
%c29 = arith.constant 29 : index
%alloc_8 = memref.alloc() {alignment = 64 : i64} : memref<11x9xi32>
%alloc_18 = memref.alloc(%c10) {alignment = 64 : i64} : memref<?x1xi1>
%17 = index.shl %c10, %c11
%20 = index.and %c15, %c2
%22 = index.add %17, %17
%expand_shape = memref.expand_shape %alloc_18 [[0], [1, 2]] : memref<?x1xi1> into memref<?x1x1xi1>
%27 = bufferization.to_tensor %expand_shape : memref<?x1x1xi1>
%c128 = arith.constant 128 : index
%36 = arith.remsi %22, %c128 : index
%37 = arith.cmpi slt, %36, %c0 : index
%38 = arith.addi %36, %c128 : index
%39 = arith.select %37, %38, %36 : index
%c128_51 = arith.constant 128 : index
%c1_53 = arith.constant 1 : index
%40 = arith.cmpi sle, %39, %c0 : index
%42 = arith.subi %c3, %c1_53 : index
%43 = arith.select %40, %c29, %c10 : index
%44 = arith.divsi %43, %c128_51 : index
%45 = arith.subi %c0, %20 : index
%46 = arith.addi %44, %c1_53 : index
%47 = arith.select %40, %45, %c1_53 : index
%c-1 = arith.constant -1 : index
%48 = arith.cmpi slt, %47, %c0 : index
%49 = arith.subi %c-1, %c29 : index
%50 = arith.select %48, %49, %47 : index
%51 = arith.divsi %50, %22 : index
%c-13 = arith.constant -13 : index
%52 = arith.select %48, %c-13, %51 : index
%54 = bufferization.to_tensor %expand_shape : memref<?x1x1xi1>
%55 = tosa.logical_or %27, %54 : (tensor<?x1x1xi1>, tensor<?x1x1xi1>) -> tensor<?x1x1xi1>
vector.warp_execute_on_lane_0(%c0)[32] {
memref.alloca_scope {
%alloc_131 = memref.alloc(%20) {alignment = 64 : i64} : memref<?x1x1xi1>
%164 = bufferization.to_tensor %alloc_131 : memref<?x1x1xi1>
%165 = tosa.logical_xor %55, %164 : (tensor<?x1x1xi1>, tensor<?x1x1xi1>) -> tensor<?x1x1xi1>
%166 = bufferization.to_memref %165 : memref<?x1x1xi1>
%c1_137 = arith.constant 1 : index
%179 = index.xor %c16, %c13
%alloc_160 = memref.alloc(%52) {alignment = 64 : i64} : memref<?x1x1xi1>
%c0_161 = arith.constant 0 : index
%dim_162 = memref.dim %alloc_160, %c0_161 : memref<?x1x1xi1>
%c1_166 = arith.constant 1 : index
%c0_167 = arith.constant 0 : index
%c1_168 = arith.constant 1 : index
%190 = scf.for %arg0 = %c0_167 to %dim_162 step %c1_168 iter_args(%arg1 = %expand_shape) -> (memref<?x1x1xi1>) {
%192 = scf.for %arg2 = %17 to %39 step %46 iter_args(%arg3 = %arg1) -> (memref<?x1x1xi1>) {
%193 = memref.load %alloc_8[%c12, %arg2] : memref<11x9xi32>
%194 = arith.index_cast %193 : i32 to index
%subview = memref.subview %alloc_160[%c1_137, %arg2, %c0_167] [%179, %52, %c1_166] [%c1_168, %194, %22] : memref<?x1x1xi1> to memref<?x?x?xi1, strided<[?, ?, ?], offset: ?>>
%c0_169 = arith.constant 0 : index
%dim_170 = memref.dim %166, %c0_169 : memref<?x1x1xi1>
%alloc_171 = memref.alloc(%dim_170) {alignment = 64 : i64} : memref<?x1x1xi1>
%subview_172 = memref.subview %alloc_171[%arg0, %194, %39] [%c1_168, %52, %c1_168] [%42, %c1_168, %46] : memref<?x1x1xi1> to memref<?x?x?xi1, strided<[?, ?, ?], offset: ?>>
memref.copy %subview, %subview_172 : memref<?x?x?xi1, strided<[?, ?, ?], offset: ?>> to memref<?x?x?xi1, strided<[?, ?, ?], offset: ?>>
scf.yield %alloc_131 : memref<?x1x1xi1>
}
scf.yield %192 : memref<?x1x1xi1>
}
}
}
return
}
```
trace:
```
mlir-opt: /data/bin/llvm-project/mlir/include/mlir/IR/StorageUniquerSupport.h:180: static ConcreteT mlir::detail::StorageUserBase<ConcreteT, BaseT, StorageT, UniquerT, Traits>::get(mlir::MLIRContext*, Args&& ...) [with Args = {llvm::ArrayRef<long int>&, mlir::Type&, mlir::MemRefLayoutAttrInterface&, mlir::Attribute&}; ConcreteT = mlir::MemRefType; BaseT = mlir::BaseMemRefType; StorageT = mlir::detail::MemRefTypeStorage; UniquerT = mlir::detail::TypeUniquer; Traits = {mlir::ShapedType::Trait}]: Assertion `succeeded(ConcreteT::verify(getDefaultDiagnosticEmitFn(ctx), args...))' failed.
PLEASE submit a bug report to https://github.com/llvm/llvm-project/issues/ and include the crash backtrace.
Stack dump:
0. Program arguments: /data/bin/llvm-project/build/bin/mlir-opt --inline a.mlir
#0 0x0000557fb378f8bf llvm::sys::PrintStackTrace(llvm::raw_ostream&, int) (/data/bin/llvm-project/build/bin/mlir-opt+0x15db8bf)
#1 0x0000557fb378c954 SignalHandler(int) Signals.cpp:0:0
#2 0x00007f87c99e5420 __restore_rt (/lib/x86_64-linux-gnu/libpthread.so.0+0x14420)
#3 0x00007f87c94d000b raise (/lib/x86_64-linux-gnu/libc.so.6+0x4300b)
#4 0x00007f87c94af859 abort (/lib/x86_64-linux-gnu/libc.so.6+0x22859)
#5 0x00007f87c94af729 (/lib/x86_64-linux-gnu/libc.so.6+0x22729)
#6 0x00007f87c94c0fd6 (/lib/x86_64-linux-gnu/libc.so.6+0x33fd6)
#7 0x0000557fb64aa81d mlir::MemRefType::get(llvm::ArrayRef<long>, mlir::Type, mlir::MemRefLayoutAttrInterface, mlir::Attribute) (/data/bin/llvm-project/build/bin/mlir-opt+0x42f681d)
#8 0x0000557fb49c4fe6 mlir::memref::SubViewOp::inferResultType(mlir::MemRefType, llvm::ArrayRef<long>, llvm::ArrayRef<long>, llvm::ArrayRef<long>) (/data/bin/llvm-project/build/bin/mlir-opt+0x2810fe6)
#9 0x0000557fb49c52a2 mlir::memref::SubViewOp::inferResultType(mlir::MemRefType, llvm::ArrayRef<mlir::OpFoldResult>, llvm::ArrayRef<mlir::OpFoldResult>, llvm::ArrayRef<mlir::OpFoldResult>) (/data/bin/llvm-project/build/bin/mlir-opt+0x28112a2)
#10 0x0000557fb49d5c3d mlir::OpWithOffsetSizesAndStridesConstantArgumentFolder<mlir::memref::SubViewOp, SubViewReturnTypeCanonicalizer, SubViewCanonicalizer>::matchAndRewrite(mlir::memref::SubViewOp, mlir::PatternRewriter&) const (/data/bin/llvm-project/build/bin/mlir-opt+0x2821c3d)
#11 0x0000557fb9015688 mlir::PatternApplicator::matchAndRewrite(mlir::Operation*, mlir::PatternRewriter&, llvm::function_ref<bool (mlir::Pattern const&)>, llvm::function_ref<void (mlir::Pattern const&)>, llvm::function_ref<mlir::LogicalResult (mlir::Pattern const&)>) (/data/bin/llvm-project/build/bin/mlir-opt+0x6e61688)
#12 0x0000557fb63c063c (anonymous namespace)::GreedyPatternRewriteDriver::processWorklist() GreedyPatternRewriteDriver.cpp:0:0
#13 0x0000557fb63c4aab mlir::applyPatternsAndFoldGreedily(mlir::Region&, mlir::FrozenRewritePatternSet const&, mlir::GreedyRewriteConfig, bool*) (/data/bin/llvm-project/build/bin/mlir-opt+0x4210aab)
#14 0x0000557fb632a17a (anonymous namespace)::Canonicalizer::runOnOperation() Canonicalizer.cpp:0:0
#15 0x0000557fb630b0ce mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (/data/bin/llvm-project/build/bin/mlir-opt+0x41570ce)
#16 0x0000557fb630b5aa mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (/data/bin/llvm-project/build/bin/mlir-opt+0x41575aa)
#17 0x0000557fb630c673 mlir::LogicalResult llvm::function_ref<mlir::LogicalResult (mlir::OpPassManager&, mlir::Operation*)>::callback_fn<mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int)::'lambda'(mlir::OpPassManager&, mlir::Operation*)>(long, mlir::OpPassManager&, mlir::Operation*) Pass.cpp:0:0
#18 0x0000557fb633a363 (anonymous namespace)::InlinerPass::optimizeCallable(mlir::CallGraphNode*, llvm::StringMap<mlir::OpPassManager, llvm::MallocAllocator>&) Inliner.cpp:0:0
#19 0x0000557fb6342ce5 mlir::LogicalResult llvm::function_ref<mlir::LogicalResult ((anonymous namespace)::CallGraphSCC&)>::callback_fn<(anonymous namespace)::InlinerPass::runOnOperation()::'lambda'((anonymous namespace)::CallGraphSCC&)>(long, (anonymous namespace)::CallGraphSCC&) Inliner.cpp:0:0
#20 0x0000557fb6343ff3 (anonymous namespace)::InlinerPass::runOnOperation() Inliner.cpp:0:0
#21 0x0000557fb630b0ce mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (/data/bin/llvm-project/build/bin/mlir-opt+0x41570ce)
#22 0x0000557fb630b5aa mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (/data/bin/llvm-project/build/bin/mlir-opt+0x41575aa)
#23 0x0000557fb630bdd4 mlir::PassManager::run(mlir::Operation*) (/data/bin/llvm-project/build/bin/mlir-opt+0x4157dd4)
#24 0x0000557fb62fcb5b performActions(llvm::raw_ostream&, std::shared_ptr<llvm::SourceMgr> const&, mlir::MLIRContext*, mlir::MlirOptMainConfig const&) MlirOptMain.cpp:0:0
#25 0x0000557fb62fe014 processBuffer(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::MlirOptMainConfig const&, mlir::DialectRegistry&, llvm::ThreadPool*) MlirOptMain.cpp:0:0
#26 0x0000557fb62fe1c4 mlir::LogicalResult llvm::function_ref<mlir::LogicalResult (std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>::callback_fn<mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&)::'lambda'(std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>(long, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&) MlirOptMain.cpp:0:0
#27 0x0000557fb63fd124 mlir::splitAndProcessBuffer(std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::function_ref<mlir::LogicalResult (std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>, llvm::raw_ostream&, bool, bool) (/data/bin/llvm-project/build/bin/mlir-opt+0x4249124)
#28 0x0000557fb62f6c77 mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&) (/data/bin/llvm-project/build/bin/mlir-opt+0x4142c77)
#29 0x0000557fb62fe311 mlir::MlirOptMain(int, char**, llvm::StringRef, llvm::StringRef, mlir::DialectRegistry&) (/data/bin/llvm-project/build/bin/mlir-opt+0x414a311)
#30 0x0000557fb62fe776 mlir::MlirOptMain(int, char**, llvm::StringRef, mlir::DialectRegistry&) (/data/bin/llvm-project/build/bin/mlir-opt+0x414a776)
#31 0x0000557fb36c6e3b main (/data/bin/llvm-project/build/bin/mlir-opt+0x1512e3b)
#32 0x00007f87c94b1083 __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24083)
#33 0x0000557fb375ff8e _start (/data/bin/llvm-project/build/bin/mlir-opt+0x15abf8e)
Aborted (core dumped)
```
</pre>
<img width="1px" height="1px" alt="" src="http://email.email.llvm.org/o/eJzsW8ly2zqXfhp6g7KKADguvJDl6Haq4rbLzu27VIEgKKEvRbIB0LHy9F0ASHEQ6SFy8ucfUkksgQdn-M4IkiZS8m3B2JXjXzv-zQWp1a4UV6Qoi8O-rOXt6vEiKdPD1ZYr8MSE5GXh4CUgEPsRQj71kzCGGYnT2IUs9LLEjQM3gFFMXRaQzHFvHHdp_5cHqdhe73YC1_79M6kLVQPkLlxvEYAvXx-Bg6J1SUkO1qWUxEHxkbjPS7BKlGlNWQq-cbUbMN3nXFyWlQKXl7zIecEAWei1SUbNJdx8HdFkdUEX-j9QMKlYChzP1V-hgyIHxcAJry0hAA7yqQscfAOI4Gq3oGUhFSkU0ItLwIuUPfdp0RQtmqbFU7R4mhZOKgFntIBwkhrOUE8qDWe0hpNqwzm9_Ulqf4Y6mKQOZrCOJ8GOJ6lJnpd0E5kde7YXLFuYpc7lJOfbYs8KZWgCz7IJPCe8MR_tLgevIHyOnzlGDv50IgDOSNAefK8cB6-f4TOHQzkwNPuMfQu5y0HLfNW4vkeL3B4tKdLGJS0t6pOiPmmaWlENJQx7lOy5IkW6kTtSsb6xw_U-ILoIXbuOf2PY-ddQ_0T6uz9vMuCFKsdXTuFAFo6kzjIm-HeieFksVLlRrJClmND3RNopTwpRNJ0S0UlsOcjH_agVbC-5BfTokoltZl_YF7KvOJC5ajbhoN09neK4ryBJUz7cNCuynzKS5Ywqq0krNjrKn6sV0cafri4zIinc-NMlY5Lcc09BYa1S8cugeP1CJuuE2zJ7BMUqMrEPT6LiHZMKHQXPVFzP63FI-ZMNAQ_3_GFhm9jqTyndikYz8oIJ93ve65aGL1vq-a-yoJeT7r-csS6aj3EvfMWd8RQyl7DzylQ2-u60iW1ke_FR_KTUQXQfXekfHTLTFi-n--LlTGP00ctaan7Nx5m48b2PL3y-jUVVSrLIyy2nJN9YXqj1lW_7lYMiK-iEG1qBuSsxuNSFfeayVeOJUVWKxTciqg17ZrRWbFMWm5wUbOM2rVR3Use_xsj0j25YA4O-SzaSlhUDPYquK2E406fRD7bpEZj6j26cwate6iv0Zq4Tfnq27Pw2g2Hwkz3VaRNM22ht6RR-o3UUbuCwNb7QMVodwrg3vjRQUNj1Q3wSAYE7EwE--ogIMHG6gcFksZyod40hKd9vYID6qqV8P1D7WDQb7u-ANZier2e1MTImXTFvgZEzPT7Nuy-2zpA0W2RNWoitXevUUGUfIalY1ZPHFRMbIrbSOpGILWy39-vgMbQdFM3ANjgAGuXQhHKo5Q5bxXB81MkLJvTB7Q6t23v1OP4xCuF-fOQlSXsnHD1tm4mjiROt68mcPXGEGQjojzPGYRtKpOqELwHHSNs9ar6yTp44-9ZX77jUD-FGR53ofTV7kR0anQ0dDNuW7XcztQ7mjsQGQVv5Yu_YrGdOGO0ZY3zCaP9xM2RIJXjKUn3Nv3bw2nDtftjzTJllkilTafFa4zkJqbFp8rw6k0n9ehC6E_VA29_DK35TSWo8EM51v0bch7XAxoomBjYwRC-HRgitP3X2n3gTxzMOH4ZF1FF5owvN4Bf8FlHRgEDL6tDDqNFxiNjyZ-jzi8zUZfPAWZ7-yLCjh7eb4cKAn63Nb-qAfT69L72PgqlaFKC5ZdiuT95ftP8rQSibu8nY3q-0M9g6JYo4aJ3wwkHrPH_aX1ai_F9GlYPW5l4lWvOC5nXKuoXPDw5aP6pSkC37s-D_VzPxWFdVKdRi5-AljFzNXCqiOAWrsqCCKfYVtLc-8TJlivDcfm75SCauiWQOXh13aE_qNfOhoTOfG6Hm81dBuJLGx5rdlinduo6ibr98fliVhWLPykFLvWFpml_goAAsFgtTUvzrb1ztzBXbDMNrDYXlsBSCHB6MF_Oy2AJeKNMGTZnrBH096C4-Wrxl-weWfSGHslZLpcTnQjGRae-MKfVVntTKXAlvHHzdQ87UphFTIw9fW4BGFHptSNWiNyLsO6Lb0BDrfS3SL-zTOxoyvcP6o4Wx2_Kox5zU6mO2aTptqX-jo2UpJRN6QgdO4MqaUsZ0lqOoiwaz7YkJnh0cFG2ZumEZqXN1w8m2KKXi9NOeq3XhoIiqZ8feHNGjjnWz-RuCjPCcpQubDPdfPi0fPwFZJ3uuAAFJvQWC6UjWVWinVCW1WLR20HrL1a5OFrTcN5lymjBcyppJB60BKVLQ5A1QOwaoIHIHEkL_NsnZiH9UhP4N0npfHbPVXdi6cC_KrSB7rX-tW518Q74mNc_T48XZBxNt18UucJ9d13V9P8wSHEZZlGSgC3x5kPbDveCFMrp-NZUFRR2RIN82pVSCkX0T0zo_dFLpxv0D6jro2n2GfppESaZddtQWjrSlse-BR74tSP5fpEhzJhwUNcLtslzQSiPrmn9HRqhhFGZRSOOY-R5ywWYjmFSlYBuhGt1znjho_RwFm8C7zHlRP19ui9peqNROMJIuZLlwrcaeZ47onRg8EOOlrusmQBAu2Rv4U805MJw97LrJgLM35EyyyI8BSco3ad7jjFDkxwPO_phzePTkm3mGaMgzGPKkbpYG7-OJcZYGA55hPxYCj5AIpjMVsmsKsyW9uekwruVvLOQzVfzMDPBQFkQwHVgd9a32YuplLOgJb4cNU23r5H84-3ZX2a-8yJh4YLLOlbUtmgQLrcBrIJ13_UxQUATdjA1DIR6B4iOCfgkoHfFdtS7z1HJ6CYYP3XE-lBARdIRSF1h3CGXqU9zPqrvqL652d2a0fuTfmVwW6aOZxuWqOTUum26lddXjwOo1R-jBzn55MFOuRnxFirLglOT8u67pR4rhejvw7Ymiu2WRPrBvgquhF2dldiT3RCkmima3MD0sBuYUfC7ACFKcDgAetLDYhX4QRae6LKsq55SoUrxu4V3FhLmx2Qy3LxvWj7KsLqjeuLEHlKQsczBg3TCwWFhcTkJ1xOSp5OnZTLrNX-wtZBv0b-N7ZlYELIBBFA2chga9BlM3wFRLOb61AgqyZ7IyzSC26v0hGEsPQxfcCP7EGvUrUVIm5V-l-Dvn2gDzsH9-1-kgozXDI808QpJeBJCqyltuOld1UhoRPD8MwHxgWxNBoyPJWpTfWatHw-eRqR7mfWqrfEO9KouMbzWBjisTm2f3Q-gSkgw84w3tRwSG5DXPjIqIGWHr4q7oJZLxxYBuGn5_KN5NXMpmzkh31dfyrronUi5TUh0zW9TFKKqlPEnk-RRfFiQ_SC5vSUG2tlRauFegLsybVumHTOMe9EPXYng0Phgb7xPybuPvecX0yWRU0jTp0abgw9EYVkkpPxdSCdO2SjFRRvsEVrK90Oh-TwQr1OciK9vE-IBgh37oEzIAPBwBToMQg7laeV5xfY8H4mMjpiTP9QF3kxUDQb9THlh6B4U52ScpcVB4nuEoMqPtiOwdTICmnS4v0dDhmOAAv1bdPpuDvjD4mYWyUnzPv7MVyXOS5MNM04t_CFLt_rtMWYNqFzl6tCu2t6QazaED6_obbs1d1KV5xm1c-6mZphqtps2Mh2Z6iDL_Q-P61YbQgPC4WnWDxEREvxf6qbYyGX8_pGAXee_e_qI_kDvyB86y94fdZEt9USz8N26mCP2nmf7SZorwGPA09UZ6tpZPxta4ip-tYJp6AwWHoy3KaOInoGIiK8V-aQqffOU2rFRpcxt3RwRLN5XS5_FeeS9rQdntVtfpmZH-9NlJ71rOxV2lbgkv7LDfP4qB3tXpdPdH9jEXeqA5FV2bF3beal5tHj2cmHfL9qU4tKx69Kl9aLBJWc4Um99jHxq-2eY-3Q0nOaNKH6ukEoeTo_dXc-_4vjsZvQpXMIYLUu9Dm-Svg3Peqa-Pkj2cfsPwmHb7G1NmcjL4bbzSTRu_hUqvJ8zotJSlEPUTRlY5V8sivR9VnH-Edf-ESfoiRTcp2J9n3_jxYoiG3TEalcOAhuF0ov2rlYlzJw0P0TAcYBmPWwuGcBbLZuSjO2KHu8kj4wPLXlh-GYjzDSQYwr6Bw6fc2sAwDD7EwJ9uSRgGA0uGT8ADGjCcgD3hxbkP2yFieHBrdfSM3EugG2Gw2eQ8oRupiFCbnty3Phr23AgPpODhI30_yyIGLP9zTSJJFnWHrGVSCvMLlSiipWDmlQvWezbTviJ1kV7hNMYxuWBXMIijOI6why92V66PI4hTPwkJC72YxS5hOMl8H6UphIF7wa-QizCELnZDP3bxIstc6uIojBFmoQeR47lsT3i-0FYsSrG9MG-LXIUQ-vgiJwnLpfm9WITsa1bI8W8uxJUxOqm30vHcnEslOwaKq9z8Lq3Z4N90b3qY102a31YF5PhqTUZ4XgsGHIR-3is26KIW-dWPvztjAPn_AAAA___k4rKC">