diff --git a/.cursorrules b/.cursorrules
index cf7f5ee0..a26d2166 100644
--- a/.cursorrules
+++ b/.cursorrules
@@ -6,7 +6,7 @@ Always respond in 中文
 项目分为3部分
 1. 前端。python库的接口风格参考pytorch，其他语言如go,java,c,rust等，后续设计完善。
 2. 调度器，待设计
-3. 执行器，使用c++,cuda,metal,omp simd等,实现不同excuter的算子的前向和反向
+3. 执行器，使用c++,cuda,metal,omp simd等,实现不同executor的算子的前向和反向
 
 关于概念
 deepx.Tensor仅仅就是一个tensor，不像pytorch的tensor，一个tensor其实包含了自身和梯度2个tensor的数据
diff --git a/.github/ISSUE_TEMPLATE/excuter.md b/.github/ISSUE_TEMPLATE/executor.md
similarity index 89%
rename from .github/ISSUE_TEMPLATE/excuter.md
rename to .github/ISSUE_TEMPLATE/executor.md
index a3310831..a32ee694 100644
--- a/.github/ISSUE_TEMPLATE/excuter.md
+++ b/.github/ISSUE_TEMPLATE/executor.md
@@ -1,8 +1,8 @@
 ---
 name: 执行引擎
 about:按照给定计算图，负责存储、计算、网络传输的执行
-title: '[excuter] '
-labels: excuter,
+title: '[executor] '
+labels: executor,
 assignees: ''
 ---
 
diff --git a/.github/workflows/excuter-cppcommon.yml b/.github/workflows/executor-cppcommon.yml
similarity index 91%
rename from .github/workflows/excuter-cppcommon.yml
rename to .github/workflows/executor-cppcommon.yml
index 3263256a..da4b2be9 100644
--- a/.github/workflows/excuter-cppcommon.yml
+++ b/.github/workflows/executor-cppcommon.yml
@@ -2,10 +2,10 @@ name: Excuter/cppcommon Build
 on:
   push:
     paths:
-      - 'excuter/cpp-common/**'
+      - 'executor/cpp-common/**'
   pull_request:
     paths:
-      - 'excuter/cpp-common/**'
+      - 'executor/cpp-common/**'
 env:
   HIGHWAY_VERSION: 1.2.0
 
@@ -48,7 +48,7 @@ jobs:
       uses: actions/cache@v3
       with:
         path: |
-          excuter/cpp-common/build
+          executor/cpp-common/build
           ~/.ccache
         key: ${{ runner.os }}-build-${{ hashFiles('**/CMakeLists.txt') }}
         restore-keys: |
@@ -57,7 +57,7 @@ jobs:
     # 构建 cpp-common 库
     - name: Build Common Library
       run: |
-        cd excuter/cpp-common
+        cd executor/cpp-common
         mkdir -p build && cd build
         cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_CXX_COMPILER_LAUNCHER=ccache ..
         cmake --build . --config Release -j$(nproc)
diff --git a/.github/workflows/excuter-cuda-linux.yml b/.github/workflows/executor-cuda-linux.yml
similarity index 95%
rename from .github/workflows/excuter-cuda-linux.yml
rename to .github/workflows/executor-cuda-linux.yml
index 1998470a..e9c94037 100644
--- a/.github/workflows/excuter-cuda-linux.yml
+++ b/.github/workflows/executor-cuda-linux.yml
@@ -2,10 +2,10 @@ name: Excuter/cuda-linux Build
 on:
   push:
     paths:
-      - 'excuter/op-mem-cuda/**'
+      - 'executor/op-mem-cuda/**'
   pull_request:
     paths:
-      - 'excuter/op-mem-cuda/**'
+      - 'executor/op-mem-cuda/**'
 env:
   CUDA_VERSION: "12.6.0"
   CUDA_MAJOR_VERSION: "12"
@@ -62,7 +62,7 @@ jobs:
             cd /workspace && \
             
             # 构建 common 库
-            cd excuter/cpp-common && \
+            cd executor/cpp-common && \
             mkdir -p build && cd build && \
             cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_CXX_COMPILER_LAUNCHER=ccache -GNinja .. && \
             ninja && \
diff --git a/.github/workflows/excuter-ompsimd-linux.yml b/.github/workflows/executor-ompsimd-linux.yml
similarity index 91%
rename from .github/workflows/excuter-ompsimd-linux.yml
rename to .github/workflows/executor-ompsimd-linux.yml
index 815b9161..e94ff0ee 100644
--- a/.github/workflows/excuter-ompsimd-linux.yml
+++ b/.github/workflows/executor-ompsimd-linux.yml
@@ -2,10 +2,10 @@ name: Excuter/ompsimd-linux Build
 on:
   push:
     paths:
-      - 'excuter/op-mem-ompsimd/**'
+      - 'executor/op-mem-ompsimd/**'
   pull_request:
     paths:
-      - 'excuter/op-mem-ompsimd/**'
+      - 'executor/op-mem-ompsimd/**'
 env:
   HIGHWAY_VERSION: 1.2.0
 
@@ -48,8 +48,8 @@ jobs:
       uses: actions/cache@v3
       with:
         path: |
-          excuter/op-mem-ompsimd/build
-          excuter/cpp-common/build
+          executor/op-mem-ompsimd/build
+          executor/cpp-common/build
           ~/.ccache
         key: ${{ runner.os }}-build-${{ hashFiles('**/CMakeLists.txt') }}
         restore-keys: |
@@ -84,7 +84,7 @@ jobs:
     # 构建 cpp-common 库
     - name: Build Common Library
       run: |
-        cd excuter/cpp-common
+        cd executor/cpp-common
         mkdir -p build && cd build
         cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_CXX_COMPILER_LAUNCHER=ccache ..
         cmake --build . --config Release -j$(nproc)
@@ -92,7 +92,7 @@ jobs:
     # 构建执行器
     - name: CMake Build
       run: |
-        cd excuter/op-mem-ompsimd
+        cd executor/op-mem-ompsimd
         mkdir -p build && cd build
         cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_CXX_COMPILER_LAUNCHER=ccache ..
         cmake --build . --config Release -j$(nproc)
\ No newline at end of file
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 88efd26d..939adf76 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -4,7 +4,7 @@ deepx框架的发展，主要包括五大类方向
 
 + front: 新增模型、module、python类函数等
 + 中间层：包括计算图优化器，插件系统(自动KVcache系统)，自动分布式化，栈tensor自动释放，自动Inplace化等操作
-+ 新增或修改excuter
++ 新增或修改executor
 + 增加或修改算子，进一步可以分为leaftensorfunc(不可分割的基础算子)，fusedtensorfunc（融合算子）
 + 文档丰富：
 + 运维自动化方向
diff --git a/README.md b/README.md
index fbed49a8..bbda77d9 100644
--- a/README.md
+++ b/README.md
@@ -15,7 +15,7 @@ deepx的分前中后端，分别是为前端表达侧，编译替换调度层，
 python sdk提供接近pytorch的API
 也容许其他语言的sdk接入，
 
-+ IR通信调度。不同于pytorch或其他py+bind c++这种单一进程的栈上函数调度执行的方式。deepx各个程序（如front的python sdk，back的计算图编译器优化器、excuter如ompsimd）之间，通过IR实现网络通信调度，需要各自启动对应进程。
++ IR通信调度。不同于pytorch或其他py+bind c++这种单一进程的栈上函数调度执行的方式。deepx各个程序（如front的python sdk，back的计算图编译器优化器、executor如ompsimd）之间，通过IR实现网络通信调度，需要各自启动对应进程。
 
 
 | 维度         | PyTorch类框架          | DeepX                   |
@@ -30,7 +30,7 @@ python sdk提供接近pytorch的API
 + 注册中心:收集当前已就绪的执行器的算子列表,收集算子时耗和空间占用信息
 + 计算图编译器优化器:fusion算子，计算图节点消除,自动生成tensor拆分并行的计算子图并替代原节点
 + 执行调度器：数据并行，流水线并行(前向反向并行)，模型并行。
-+ front生成基础IR，编译器负责进行fusion成excuter注册的高级算子。
++ front生成基础IR，编译器负责进行fusion成executor注册的高级算子。
 
 
 ### 执行层
@@ -44,16 +44,16 @@ Op{args(args_grad),returns(returns_grad)|func run}
 
 Op需要实现run方法
 
-关于excuter，只要能按deepxIR序列执行，并返回结果，就可以接入deepx分布式调度框架，因此，从硬件、指令、加速库、高级框架包括训练、推理引擎，都可以稍作修改，就接入deepx体系。
+关于executor，只要能按deepxIR序列执行，并返回结果，就可以接入deepx分布式调度框架，因此，从硬件、指令、加速库、高级框架包括训练、推理引擎，都可以稍作修改，就接入deepx体系。
 
 当前的
 
 
 #### 默认执行器
-+ cpu执行器,已实现ompsimd。其支持的算子列表[ompsimd](doc/excuter/op-mem-ompsimd/list.md)
++ cpu执行器,已实现ompsimd。其支持的算子列表[ompsimd](docs/executor/op-mem-ompsimd/list.md)
 
 #### GPU执行器
-+ cuda执行器，其支持的算子列表[cuda](doc/excuter/op-mem-cuda/list.md)
++ cuda执行器，其支持的算子列表[cuda](docs/executor/op-mem-cuda/list.md)
 
 欢迎大家提交cuda代码
 
diff --git a/cutlass b/cutlass
new file mode 160000
index 00000000..bbe579a9
--- /dev/null
+++ b/cutlass
@@ -0,0 +1 @@
+Subproject commit bbe579a9e3beb6ea6626d9227ec32d0dae119a49
diff --git a/doc/excuter/deepx.op.drawio.svg b/doc/excuter/deepx.op.drawio.svg
deleted file mode 100644
index f6fe1fd0..00000000
--- a/doc/excuter/deepx.op.drawio.svg
+++ /dev/null
@@ -1,4 +0,0 @@
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auM+d+GwEjYASMwKQRMMFOenrcOSNgBIyAEZgrAibYuc6c+20EjIARMAKTRsAEO+npceeMgBEwAkZgrgiYYOc6c+63ETACRsAITBoBE+ykp8edMwJGwAgYgbkiYIKd68y530bACBgBIzBpBEywk54ed84IGAEjYATmioAJdq4z534bASNgBIzApBEwwU56etw5I2AEjIARmCsCJti5zpz7bQSMgBEwApNGwAQ76elx54yAETACRmCuCJhg5zpz7rcRMAJGwAhMGgET7KSnx50zAkbACBiBuSJggp3rzLnfRsAIGAEjMGkETLCTnh53zggYASNgBOaKgAl2rjPnfhuB1SPwYUkXD9XeQ9ITV9/MLGr8W9HLS0oCH4sRqEbABFsNlQsagbVHwAT7zyk2wa79ch9/gCbY8TF2C0ZgLgiYYE2wc1mrs+inCXYW0+ROGoFtQcAEa4LdloW2KY2YYDdlpj1OIzCMwK6Sjh2K/a+kPwy/tpYlbCJey2nd3kGZYLcXb7dmBIzAPBAwwc5jnibdSxPspKfHnTMCRmAnIWCC3UnAr1OzJth1mk2PxQgYgVUhYIJdFZIbXI8JdoMn30M3AkagEwETrBfHlhEwwW4ZQleQEDimpCtJuoqky0o6raRTSjqOpJ9J+qmkT0p6l6TXS/pxJXKPaBxt9g9l7yvpMeHvV5N0K0mXkHQ6SfSD9j4r6VWSnifp9y1tnVTSvpKuLem8kk4m6beSftCM4QOSnt+M530VfTxE0q1DuQdIemT4O3jcRNLFmr6cUdIJJP0itfN+SUdIeltFO2WR3Zox7i3pMpLOI+k0kk6Uxv8bSd9r2j064f1qSd+taKPWi/i4hfPT75o5OWGo/1RN+7eXdE1Je0o6sSQcpr4hiTE/W9InOvpzOUn7SLqUpN3D+vlCEwTjTc26eqakX1eMJRZhDd5A0g0lXSitzeOnefiSpHem+f5aeMkEuyDILr4jAiZYr4pVIHD95kP4cEnnrqwMInuqJMjzVwPvQK6Uy3KgpIdIOomkw9JHvK8KPpqQKB/oLHuljzyk2icvkHQ7SX/uKfTkZvNwl/Ac8mcTwAbjxZKuWIHJOxIhxQ9812snT1jvJ+lYFXVT5E+SGMu9BvCuJVjqxLsYos1CX/4qCWzZ1ECqXQJ5PbrZ+Nw/FGAu2Kxcb2BMbMxYbx+sHDsbG/rDJqRP/tL0+fFpM8efTbCVALtYNwImWK+OrSDA+nlUo/ndZ8lKjpJ0jQHtClJ4bKifPz8waR2XrmwXzekCiVxumcimdu1DoHfraQdCvXd4/nRJD5b0oWYDcM7K/lEMDRPN/+s976C1QsZohcvIl1MbP+x4eRGCRYvkWk8W/owFA428lvjBFXzRvN+TtMuacaGhQ5jfGiiMFvz2Zo2irdbKKyTdOG1K4jgcKrEWQZf7BwK1HxlDZgTaEHhcQ1r3LB7w4UVze6ukbyfT4KlTjNubJ3NsfOUrifwwM7YJH+EYDxfNFw34fqnwGyTxHwTFR/7fJN2meQcTcBS0XkzGR0raJZmsXyTpo8nkiMZ59aQdxX8XaGUQGqbENsEcHDUxNEXMpZhvETYRr5T0uYaIIQbM5nysb5rM0rHOz0i6cEPQaFBtgomUPkZ5t6TXJXMwpmc0L9o4X9Imqa8sf4WO+hch2J8XGJ8/kSSaKHMBtp9K849pHPPsvxft/jKZzdmUsDYQxsM8QZ5oyJjvmc8zFO+yxm7RMQ5+BoMvNgSOxl+Onzn6fFpHrE2ImI3XuVJBNkxYZI4XXjTB9oDtR+0ImGC9MpZFgI8lZ1dxDXG+xnlj13kfGgHaHWQXBdKMZtb47K4NET0p/MAHGM2Vc1U+2mgopZw+mRD5sGfB/Pqdps+c8XHmCcFxLlwKxPjy4sdslm7Dqjwj/mZj6jxTIkk2B5BHaW6kHggd4uXjHuWOkp7V0tBF0+YgP4L4GcPLBiYQEnpuYc6FpN/S8t4iBMs5dzSxs6G6asKOs202E6U8qNFuDyp+5KybM+w/JsIssac4GxY095iIgA0Z5Mhmq01YU3cqHrAZfEJHec5pmUvIlb6zCYtBN0ywAwvNj3dEwATrVbEsAjip4DCSBfMjJIBWMiQQCE4wWdDYIKU2Yr6zpKe0VIhp+c09DfHR5kyvFBx/LtKck3ZpzJSnXpynskDqXVrfw5LJumyndHZq6ypaFpotRJEF5yy0z1IOaDYzDw0/QkSYMmuErDicL2aB1NAKS1mEYH/SzMspigrYYIFT15k1GywsAWdtaRtSbpuvXBQnNszuUdjkYVouBevFj5KD1NCYy3cP7dCMTbA1K81l/gUBE6wXxDIIYIbFtBrlRo05j/OrGoFQOBeNZ2Ocq0ZnplxPG8G+Jply+9pCu0JDLdf4dZNJte9dtMhnhAKQCZ6xbdJGsGjLe6RzvCE8MHUfXBTCJM1GIMpzGpP7bcMPaIOYMWuEM07OrtGuwR2HLzy6S9kqwWKObqs3toO5vzzT/ngy7Q+N5ftJ849r42ktL+FVjhk4CxaEczRm4K8ONZA80SmHBhvFBFsBnov8KwImWK+IZRBAG0IryoK5ENLsOjtsa4OrI9FjFI0YzbKUNoKtIUnq4aoKjkFZ0Gq4yjPUT8zIpWaUvWTL/rURbI32mus5c4tjE2MuiYPrKXcIjf9P8fdl5rF8ZysE2zV/ZRtYLkoTOMcDmHSHhCOJaEnoMt0fXmj3nAVHa8tQO+XapLwJdgg1P98BAROsF8UyCHBPNJ4dvqQx/d1swYr+qyARzuDQtPh/lJJg0UYwAQ5d76EONKPo5IPzDOe2Q4K2Uzo1ce2k7f5lG8FesLl3+emhRsJztEpM5Fk4ty3PD/HU5mpLFkzcnEVDHquSrRAsmy48vofkOs2cvLYohIc3Dl5DgmNTXGddbeLAFD2thzzBy3bZyLChiWKCHZodP98BAROsF8WiCKDJQW4ETMjCXdXSzDlUL5oIGkkUtIySMEqCxTM5Oi/1tUOgCAIxZMEEjSl6SHCSwiEqCiZiTMWllATL/VCccoa05FgPTldXDj+AC1deouBFyxWe6HiDgw/XhNBmMZ9uVbZCsJivuW86JIyrdEzDW7fcWLXVQ4AK7iVnQctnfUTBWQlc+H+WWg05l+e61HuLek2wQzPr5zsgYIL1olgUASIGEe0oyiLnr/k9SJIzwShoN0R5ilISLJoOGk+N4Jx0+VCwjALVVQceviVh1RIsmm++7lHTR8qUxMHVHq69lNLmhUsZtPqPJecsyBlnoGXSzG2FYLEMYCEYEhyTiOaVpYwC1fd+aSZvI1g2ImzCotQeKeR32jZYJtihmfXzHRAwwXpRLIoAwRO4XxgF7YtrFIsIZl7uUkbhLiTRmaKUBPuRFBaxpq2SYGs1ma0QLFozZ7iLSHmmjcn4LB0V/He66kRIyC7hChMevdyb5TyxJkIUdW2FYIe8unNfS4LFEQ1v6hqpIVhMw5iIo2AtYS3UCscBpTe8CbYWPZf7BwImWC+GRREo72Py/jIfH0x4pVmQc9novUvdcyNY7peWwSCGMC7NzH1ey9TF+TfvdF0dKtvjzJyAGATk6JN1INi29ckVHzZmtcIxSHnVaJk1Xtuey60pAibYNZ3YEYfVdkWHD355R3GoC2XAeMq3BVmYG8GiNRLkfhHhug2ex1kIZYgWPSQ4Y3EXFhMo89Kn1VIX5nciFhHxqU3WgWAJRsE4oixKjlwfK+9JL1rH0Nz5+QYgYILdgEle8RDbPGzJGNMWUamvae6pcr0nCpGJXlr8NjeC5XpPGRJwaApKEzHhI8F5ESEkIA5E+b+zd7zMWS0mbLLblLIOBEtoRc6wo5BwIZ77DuGKybrM9mSCHULNz3dAwATrRbEoAtx3LYPF/0dFyL6yHc4Yy7NBND80wChzI1gCLZTxf4cwLp2cFr232VY/BE2YRM6dy6xBXfdH14Fg2+4Vc9+6vBrUNydt57gm2KFV7OcmWK+BLSPApgwTY0xHRnxhzgQXEeLWlvFwSXcX08pR39wIFueYMtHAEC7E8cUKkIXg/Zh9VyFsiDANczaZhTNevMGJZxxlHQiW62PEEo7KA/Gs28JtduFLOrzSI9oEu4rVuGF1WIPdsAlf0XAxt0UzKEHrc/aY2ibKNHQEcYCYyo/+3AiW8XNVpCbBecYKTT56DZMCMGboqcW0q9zZmmw1xIqO/97bNjPrQLBgUAbu6Esm0YYZGj6bxigm2K2uwg183wS7gZO+giGXGWQIPMG5FYm9a4VrPTEZOX+PwRZyPXMk2NqgC5mMy3ubmHaJWtQmxMjF+7rciAzhXpI457BcKYqyLgSLt3R0NOu6V9yFWRkBjHIm2KEV5uc7IGCC9aJYBoG2M6p9miwpL6ysDI2KYPYxKlFXNpU5EixRgGKAiz5YOCMllF8WIkDhQRyjRnHthzSAnO2CPSbMoSs3ZZtlXGYy9pC5Zx0J9u5FWjoCcaCxlwkU2uYFj3iuNZVigq38x+1i/0TABOvVsCwCkAgh5bIQlQkCKD2Dy/pZc5xvxUD/nOkShL/Ns3WOBMuY92qiMR0xAC4hFUlXF+MQY36Pmj1VlNlhcILig09AiRop74byHhaHMpfqumiw4ImZOAqZnog41idcz2Fdc+XJBFuzslymFwETrBfIsghAplzej1roB9NHDG2pTXBAIV3ZfsVDgqsTT7dN5kawXO8grCLkxQe99IrOY9y1CalIkoRrF4NuS4ZOWUy8MWUeIRHJeVual0sMCduI01S89tOVS3ZdCBYM2MSh6UchWQKxqNvy1bLBI08uzmbMIaZ4kk9ksQa77Jdig98zwW7w5K9g6G2xcdFGycWJhzCOPqwxTJ6YTDlb3L1ol1B+N+jpy9wIFk0Jz90cLvGNTQJ1nMDwjgYbkpSTBYegGlwpidIXpKItgTxn3tSP1kUOUzyYwRtiwAwP5tdqSRBAnOO28InrRLCE9OTslYAmUQjzycaG/6PJ402NJQaLChsZhA3gQ5KzWn6XOWMDaT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qZZrVr6QQWyvC86TwLdo7/WBZYWw+liId2cTJMSaqcjTNzqpzc37mfipm14qtEUNqYYObLDjHkn4QpMObocxDuo7ZjBm63CdXitvVYyfZi8RojFqLM55hYpwgMnMG7pJjAuhPYxpm51DigxdlE4WmWCSnlRPuI+WliZII1Ywn1Yak+9ypn6QSGX03MWa60OmsbZI7noQUQNV1OuKIUgeHdH7tP6TroOEbHTliEPQrFZtyu68MR81g+DsyIUXXsUlJ3dcfU5v5jtDFlDo2vGxZrKUkRGH1EA1FSTGDdCQwyKJlOB2fi0CmLaBqhuIzbLYfocA1pE5yUQ9H1S86l0ctaOoGxCOEV3iZj7rCpL5Rdmt8IupuyWuK5FIHhtIjzYikhmn3MBPd6kkhDkZJUSCZIDMs+doG5FpmpOrv+fo06dE7oPdpGxPAxhN0zu+iQ5Do1xwiMDRTq3NJiAjsY0ZgKEevPVPSYrmPE5ibk0sL9O3M7Jax/EGubYElNlPvFy9IJDEu0UNI/Tgk5Ebr7DiL3ayGv+O2Yc7HyUwQGCUKGpQT/EvTrIcklMBZOrCND1n2b8lFRcLmLw2MX35US/U357HGBHcrFNrR+oprEYh/m3l3FCAzLL1TCpcUE1o3A2nKzDR0T7qm5/miTHAJLaR+GBPAe2rei7y+dwGKRCvrE9+sCLv4TxFRsE/x8Uos776UILFell9vuUgRGfTFDlrb2bBJVYvrO4lvScq6tPlS4hHgKyZjGJtwPYpEWyjMWSvrYbGuMwDBQQVVbWkxg3QgsV6XXZZyGElgsxirtIBxdbgaDLu2e/NklExhx3XIs/SYHta4QC0kINiYpAusbvDNUZ0kCo46UsUKoHVhqcheHmo0/rBZTWHUdR6J0xKKi4FtHfMSxBMvRkNM4zqWpANG0K0ZgWMHiYlFaTGDdCGyMjfJQAiPkXCz6RemridJzMLu8JRMY/i84tM5ViDuYal+KwPByxzy1lJQmME4YEAV5uoYIztOEpGExwEyYcDpDBbVlzBpyTAMf2h4zpec3YjmmJEZgGDClsgGkym/73QTWjcDwbwpF5umDP+8MJTDyccWideQaEfVt/2TvLZnASGEx5g566CDkxCxbOoFtMCIKAUYbqbBHuZiSop24jZzwyKPUR7g7JKhwSM42shoz5suDHx0hpVISIzDifxK1v7SYwJZPYJywuKMPCYZvWDouXpZMYLmBcHc1SDlOwftCYGCMxRP3gqSXyLn/yxkXVI0QEXdZGMZ0EXbGBBINCWGmCKczlhCJO5R7C+MWEqemJEZgZAR4QqqAHr+bwJZPYISzi2WWGDXAbo851/uVJRMY3t9dF7XeQPV4kVw5xybe2ycC23SVjNBEvudURgT9kCFDF0ghMlSVnDpyA+HGsuhSNySbW1aXtm6exTotFEkfYgqZOG/XZQLrg/yBd3AHwQiqTbpmZI6Z0c9RhYjvKJaGISnteN1/lAa+uWQCI8JCLJoBZt6xKMkDoUu+jp8RZv4x2UcC2+4v90wk6iMyCSbfsYSSSUDrDQsfX8xEfVNOKgUGBhZjGgGhBiX/V5vk+g6ZwHJmRfszayawVGxCvskh+fr6j0rhN5dMYGRAjaWQ4P4kFgevMJS9itt3AtsGBdNyIvkTBoc//ncohmUMTAwgMG5JhcFhl02Cx5Awf0ql2GmrA5LFH6xNciMhmMB6fVanvLRmAiOMGetfSEjuGssN2B/1id9cMoERky8W/Tk3GsbEkJ+mujURWBNnVHiExEHNg04es/ZcIZ4j78USB6bSmhCVpIS1Y6jN+LmhTm2T3BiXJrDcGXHwc7FQSvuuQiQMVcxI425V/sRn9od2Pm8umcBAMZbwjx0YkSXmLGsmsOa4EJvttrVzLqrHlHDPFousT4xMTM1DQpy4WGDjVP2x38+YMBDJDeVjAus/CmwSMKRqk30nMPxHY9Hfxwyj1n/Eery5dAL7YCRcFKGLQlZgPaAa5RUT2MGwkrwSB10iaXDKDgl3TLHU66lEp5DlC0YZ1QN3X7QvJITXyvGdM4H1HyDuwEMBa/edwHDROCECHfOe+b94WTqBxe45SIJINIwSSebGGmgTWBjZw6ukoW+KqOF4M+Zrl0p1jg8VVo1jSCrNz71rv7lU3WshMJxusVotKdyRhpI57juBgWNMhU1GeSyEFy9LJzAWILLqhiTHF2uXg2gCi6NPxIBYvquYLxSbF6wMQ2b85GuDaMaQB1QZdR8dKZgM4pBzSvaJwGIqPXL2hYLXpjBq+53o8MdHXlwDgaFCRJXYJt+rw5zhnrJoWTqBkYAxlv33HgmHvl0PngksPQKxiBZcRHMhHRJiDpJ1uU0gN6J2j/ERx/I5/aiuNyfNzD4RGD6RoV0/cftiTufpWXLaJ8g2jBtFSNZAYE+tbARY/0JSOkwdofOIbhMizJwErl3HWUsnMO5IWAi4N2kT4utdrTMq071gAktjTVLPEEmxSIXyJlEy4a3uGakix9k83cLTPoFrwNciH3OXND/7RGAxs3busq/UFejI80ShIBrFmgksReK5OelyhyXmuJ+bPii3rv99bukERkdSMe9y07d3BY9gwlhBfrfri1vPL53AsLbjHgqT+FgCxwEQnWLMEUqLwkknlNCUOrE0xJw6JGPkRcLRmiggIUG1+MBMQPaJwFAFoxJuE07Docj9mVD972NsZok1GStvDScwTkNfrVTZhwQAzM1ZmIM/AQrIvhBS149mtj8XAiNiBo6tfeRmktChh+Q51YTGM720oNO/XOWU+846dQFqkK5JG5dGYJxm0auTb4g/fLdwUGahJcklhjOlJaYKSV3+n652dj9voFGc3g+VxJ1AKUmFsLpsla2b3WqO7BOBPam6k8R4JSQ52RtyMEsFsqWMNRAY/Yypsvm9VL7BVPLY0WwR5kJgQ3YDqBFJWxJKr46zK7r3mF9Ezoex/Uwo4Cmmq8dUUSKIRZYjSyMwws+EUpHj/Y+qoLTgqxXKPPzQateHT0tM8AXDJywknPCOLNRoPlQ2Y6HvKteBedOcfSIw3AaeFcH5zokI6jlDRHxJ1pJUnMm1EBjfaixkFGsia2MsIEAKd05d5PYL3TVz94VbyZA6gm2YksBi9xGYfIYuAFMA8nssOzK/s+NloEokTSQGI2aooWjiuT4+tGtpBIapc8h36it1f1IhnnLGc/MMWBNPMqSauL6kNycK5PTFBgd1Z5sQ0Jf7l6GpedhIYagQu8th4xMzLmi2b58IDA0L301IWARDjsc5c4a1jOsE4vylZC0EBibM61BMTnAamtUglZn9vpUrzBNTA9L39ykJjHsMdrshycmfFXoXvTdhgS4SKR+zZfJDDYlAzkSgHO6/2gSLNvKUEesuR5ZGYNwrcMoMpUvhhEGcQzYkQwVC4OIfS9M24f6ReIY5fn6PTNw78ZET1grjiz4CwULsJBIMCYlJWcSxQsyVfSIwjFsYM9wbQtL3FI8a+3kN/Ln/CamO10Jg4JxKj8OaRWzEmLtKaLy4f+b6JhRwANX8xlYgd853em5KAiNPVCz+FhPw9p1af9qHU5fnPI0FGIPVNQYeOPFxcekfim9H+Y+vT4O53VgagdGvh1XqAFR3IeG0g048ZjyRwod7qaNrUgk928URGcLlfjK2weGkd9Me95iY4hM4NZaVl0UC8uKU0UX2icDodyzTML+Tn41N5hs7gMSmklQ7bJw2QiBl7ty4P20TsnXHAj0331laOpVm+9FSbOPT/J1NFf60qNtzNoQQFr6OD04E5L5rQm3cYZjbH52SwIisgFl7TCA4FqZtJ0RUP4QMYvefsnQjwd99EnVgaMDl/1GSODHEdLPo0vmgGAgMNmKCmhLfipwJsClniQTGDprFPnTnuOkbd0Es7Hw8OT4gnKKvJQnzX1SVIespymd3zUm3SzoUCOQdiQ/uh/UHx0YldYomXA8bLsJepSzo+qpp9o3AMBrgVB0TvkdOs6ji+T7b/PQ4cXFixoDrDi1jymaCMWET1CacNm7eYfVcOoGhqWDznrobhPi5p+QevxkKDS0DAbAJFMx9ZSjTwgZW1mqsgEe5+9pUMiWBsSCdmJkTiudYnDjtoAagnezKbpCYdExsJieLYI6gMmJXTIoO1F4MEnUSTBZyOSwzISNmuxgaEH+tiyyRwOgf1ohvTZDMNg5Y+0FiqB+5h0SNyy6OrMgsNNx1oWrAajAlbECIZEH9XYVTNCf9nHnPiY0FdDM3aBv3tJzirlh/zDnlPLeyhMQyro/sG4GBAVa7+N/lCCooNhLcr3I626wHzJWQJoT7Fu5dOE1DPG2S8h9svrN0AqM/ED7RZ0I+s80+gz3f60n1ms06nJtpnQ0u6+GY6YpOaW/OB5gz0XKf4YSFKrGP5BAY5aJrZwdHtPIpBPK6dkbyyra2LJXA6Auhf7hLyCGdUuNwcq0CDi1MOfVAJsxDNjtjC/XgUNt3F7qPBMacx/qNzUtpeX1tJcupjcgeZEtuk5T/4D4SGH1i4wd55xJRn/Fho4omhXVxdJmawDh2omrrk5k3l8A2oKFK5PI+pooaCjAfDGokVFp9ZMkERn8xsOBeAxXF2PK5+pI+pYbOaQeqLMg3dMmfU0bsGU6YuFL85cCC9pHAgAQVH5qSkiSG2otNFZschBPH2wP4d11L9uEEtoGCqxCsNdEulZah62Hn9kxNYDQQvTXZQLvugLtOOurigvfJheOsUS5qDS48Y1lPcwZj6QRGH9GrY13KXUSueiIHm80zqJLZiHAhv1mcurwfevYcdcBdNiB9MkO3lctJ6xW1CisWTDa3/ftKYPSfhRQfpZBFby5GzAksnB/buC/DnQHLzzbhLhSCy5V9IjD6zMYBzNhkldjg843ev763zMW0yHO7IDAazl0WETKIGp0rfQhsUzYfC+FMuBvDaqyPoAvmYhL1JItUiSCw+0BgGyzPU+e44pKXxWPI3MIqit0zpzuwJkzNWIJWgA+ZS/0u83G7PdzR0E7iNqL/Ly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/></div><div>changeshape.hpp</div></div></div></div></foreignObject><image x="263" y="173.5" width="150" height="104" 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target=&quot;Az3iGQj9nxM2931kqFIP-8&quot;&gt;&#10;          &lt;mxGeometry relative=&quot;1&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-6&quot; value=&quot;&amp;lt;div&amp;gt;&amp;lt;span style=&amp;quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&amp;quot;&amp;gt;openblas的matmul实现&amp;lt;br&amp;gt;template &amp;amp;lt;T &amp;amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;&amp;lt;span style=&amp;quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&amp;quot;&amp;gt;class Matmul_cblas:Op&amp;lt;/span&amp;gt;&amp;lt;/div&amp;gt;&quot; style=&quot;rounded=1;whiteSpace=wrap;html=1;&quot; vertex=&quot;1&quot; parent=&quot;1&quot;&gt;&#10;          &lt;mxGeometry x=&quot;260&quot; y=&quot;610&quot; width=&quot;154&quot; height=&quot;60&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-11&quot; value=&quot;&quot; style=&quot;edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;&quot; edge=&quot;1&quot; parent=&quot;1&quot; source=&quot;Az3iGQj9nxM2931kqFIP-8&quot; target=&quot;Az3iGQj9nxM2931kqFIP-10&quot;&gt;&#10;          &lt;mxGeometry relative=&quot;1&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-8&quot; value=&quot;cblas实现&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;tensorfunc/elementwise.hpp&amp;lt;div&amp;gt;&amp;lt;br&amp;gt;template&amp;amp;lt;T&amp;amp;gt;&amp;lt;br&amp;gt;void matmul_cblas(const Tensor&amp;amp;lt;T&amp;amp;gt; &amp;amp;amp;a, const Tensor&amp;amp;lt;T&amp;amp;gt; &amp;amp;amp;b, Tensor&amp;amp;lt;T&amp;amp;gt; &amp;amp;amp;c)&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;/div&amp;gt;&quot; style=&quot;rounded=1;whiteSpace=wrap;html=1;align=left;spacingLeft=6;&quot; vertex=&quot;1&quot; parent=&quot;1&quot;&gt;&#10;          &lt;mxGeometry x=&quot;-60&quot; y=&quot;770&quot; width=&quot;420&quot; height=&quot;170&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-10&quot; value=&quot;&amp;lt;div&amp;gt;cblas对double的特化&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;&amp;lt;div&amp;gt;template &amp;amp;lt;&amp;amp;gt;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;&amp;lt;span style=&amp;quot;background-color: transparent;&amp;quot;&amp;gt;void matmul&amp;amp;lt;double&amp;amp;gt;(const Tensor&amp;amp;lt;double&amp;amp;gt; &amp;amp;amp;a, const Tensor&amp;amp;lt;double&amp;amp;gt; &amp;amp;amp;b, Tensor&amp;amp;lt;double&amp;amp;gt; &amp;amp;amp;c)&amp;lt;/span&amp;gt;&amp;lt;/div&amp;gt;&amp;lt;/div&amp;gt;&quot; style=&quot;rounded=1;whiteSpace=wrap;html=1;align=left;spacingLeft=6;&quot; vertex=&quot;1&quot; parent=&quot;1&quot;&gt;&#10;          &lt;mxGeometry x=&quot;-310&quot; y=&quot;990&quot; width=&quot;540&quot; height=&quot;140&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-17&quot; value=&quot;&quot; style=&quot;edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;&quot; edge=&quot;1&quot; parent=&quot;1&quot; source=&quot;Az3iGQj9nxM2931kqFIP-12&quot; target=&quot;Az3iGQj9nxM2931kqFIP-16&quot;&gt;&#10;          &lt;mxGeometry relative=&quot;1&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-12&quot; value=&quot;&amp;lt;div&amp;gt;&amp;lt;span style=&amp;quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&amp;quot;&amp;gt;某auther a的实现&amp;lt;br&amp;gt;template &amp;amp;lt;T &amp;amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;&amp;lt;span style=&amp;quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&amp;quot;&amp;gt;class Matmul_authora:Op&amp;lt;/span&amp;gt;&amp;lt;/div&amp;gt;&quot; style=&quot;rounded=1;whiteSpace=wrap;html=1;&quot; vertex=&quot;1&quot; parent=&quot;1&quot;&gt;&#10;          &lt;mxGeometry x=&quot;450&quot; y=&quot;610&quot; width=&quot;200&quot; height=&quot;60&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-14&quot; value=&quot;&amp;lt;div&amp;gt;&amp;lt;span style=&amp;quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&amp;quot;&amp;gt;默认的matmul&amp;lt;/span&amp;gt;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;&amp;lt;span style=&amp;quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&amp;quot;&amp;gt;会选其中一个作为默认&amp;lt;br&amp;gt;template &amp;amp;lt;T &amp;amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;&amp;lt;span style=&amp;quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&amp;quot;&amp;gt;class Matmul:Op&amp;lt;/span&amp;gt;&amp;lt;/div&amp;gt;&quot; style=&quot;rounded=1;whiteSpace=wrap;html=1;&quot; vertex=&quot;1&quot; parent=&quot;1&quot;&gt;&#10;          &lt;mxGeometry x=&quot;73&quot; y=&quot;610&quot; width=&quot;154&quot; height=&quot;60&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-19&quot; value=&quot;&quot; style=&quot;edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;&quot; edge=&quot;1&quot; parent=&quot;1&quot; source=&quot;Az3iGQj9nxM2931kqFIP-16&quot; target=&quot;Az3iGQj9nxM2931kqFIP-18&quot;&gt;&#10;          &lt;mxGeometry relative=&quot;1&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-16&quot; value=&quot;&amp;lt;span style=&amp;quot;background-color: transparent;&amp;quot;&amp;gt;&amp;lt;font color=&amp;quot;rgba(0, 0, 0, 0)&amp;quot;&amp;gt;某auther a的实现&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;div style=&amp;quot;&amp;quot;&amp;gt;tensorfunc/elementwise.hpp&amp;lt;/div&amp;gt;&amp;lt;div style=&amp;quot;&amp;quot;&amp;gt;&amp;lt;br&amp;gt;&amp;lt;/div&amp;gt;&amp;lt;div style=&amp;quot;&amp;quot;&amp;gt;template&amp;amp;lt;T&amp;amp;gt;&amp;lt;/div&amp;gt;&amp;lt;div style=&amp;quot;&amp;quot;&amp;gt;void matmul_authora(const Tensor&amp;amp;lt;T&amp;amp;gt; &amp;amp;amp;a, const Tensor&amp;amp;lt;T&amp;amp;gt; &amp;amp;amp;b, Tensor&amp;amp;lt;T&amp;amp;gt; &amp;amp;amp;c)&amp;lt;/div&amp;gt;&amp;lt;div style=&amp;quot;color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&amp;quot;&amp;gt;&amp;lt;br&amp;gt;&amp;lt;/div&amp;gt;&amp;lt;/span&amp;gt;&quot; style=&quot;rounded=1;whiteSpace=wrap;html=1;&quot; vertex=&quot;1&quot; parent=&quot;1&quot;&gt;&#10;          &lt;mxGeometry x=&quot;430&quot; y=&quot;770&quot; width=&quot;460&quot; height=&quot;170&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-18&quot; value=&quot;&amp;lt;span style=&amp;quot;background-color: transparent;&amp;quot;&amp;gt;&amp;lt;div style=&amp;quot;&amp;quot;&amp;gt;&amp;lt;div style=&amp;quot;color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&amp;quot;&amp;gt;authora对double的特化&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;/div&amp;gt;&amp;lt;div style=&amp;quot;&amp;quot;&amp;gt;&amp;lt;div style=&amp;quot;&amp;quot;&amp;gt;template &amp;amp;lt;&amp;amp;gt;&amp;lt;/div&amp;gt;&amp;lt;div style=&amp;quot;&amp;quot;&amp;gt;&amp;amp;nbsp; void matmul_authora&amp;amp;lt;double&amp;amp;gt;(const Tensor&amp;amp;lt;double&amp;amp;gt; &amp;amp;amp;a, const Tensor&amp;amp;lt;double&amp;amp;gt; &amp;amp;amp;b, Tensor&amp;amp;lt;double&amp;amp;gt; &amp;amp;amp;c)&amp;lt;/div&amp;gt;&amp;lt;/div&amp;gt;&amp;lt;/div&amp;gt;&amp;lt;/span&amp;gt;&quot; style=&quot;rounded=1;whiteSpace=wrap;html=1;align=left;&quot; vertex=&quot;1&quot; parent=&quot;1&quot;&gt;&#10;          &lt;mxGeometry x=&quot;350&quot; y=&quot;990&quot; width=&quot;620&quot; height=&quot;140&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-20&quot; value=&quot;tensorfunc&amp;amp;lt;T&amp;amp;gt;&quot; style=&quot;text;html=1;align=center;verticalAlign=middle;whiteSpace=wrap;rounded=0;fontSize=21;&quot; vertex=&quot;1&quot; parent=&quot;1&quot;&gt;&#10;          &lt;mxGeometry x=&quot;-270&quot; y=&quot;830&quot; width=&quot;130&quot; height=&quot;30&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-21&quot; value=&quot;tensorfunc 特化&quot; style=&quot;text;html=1;align=center;verticalAlign=middle;whiteSpace=wrap;rounded=0;fontSize=21;&quot; vertex=&quot;1&quot; parent=&quot;1&quot;&gt;&#10;          &lt;mxGeometry x=&quot;-440&quot; y=&quot;1045&quot; width=&quot;110&quot; height=&quot;30&quot; 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requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility"><div xmlns="http://www.w3.org/1999/xhtml" style="display: flex; align-items: unsafe flex-start; justify-content: unsafe flex-start; width: 169px; height: 1px; padding-top: 107px; margin-left: 861px;"><div style="box-sizing: border-box; font-size: 0; text-align: left; color: #000000; "><div style="display: inline-block; font-size: 12px; font-family: &quot;Helvetica&quot;; color: light-dark(#000000, #ffffff); line-height: 1.2; pointer-events: all; white-space: normal; word-wrap: normal; ">class Op{<br />name string;<br /><div style=""><span style="background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));">vector&lt;string&gt; args;</span></div><div>vector&lt;string&gt; returns;</div><div>bool grad;</div><div><div><span style="background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));">vector&lt;string&gt; args_grad;</span></div><div>vector&lt;string&gt; returns_grad;</div></div><br />virusal void forward();<br />virsual void backward();<br />}<div><br /></div></div></div></div></foreignObject><image x="861" y="107.5" width="169" height="176" 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data-cell-id="Az3iGQj9nxM2931kqFIP-9"><g><path d="M 777 410 L 777 460 L 590 460 L 590 503.63" fill="none" stroke="#000000" stroke-miterlimit="10" pointer-events="stroke" style="stroke: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));"/><path d="M 590 508.88 L 586.5 501.88 L 590 503.63 L 593.5 501.88 Z" fill="#000000" stroke="#000000" stroke-miterlimit="10" pointer-events="all" style="fill: light-dark(rgb(0, 0, 0), rgb(255, 255, 255)); stroke: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));"/></g></g><g data-cell-id="Az3iGQj9nxM2931kqFIP-6"><g><rect x="700" y="350" width="154" height="60" rx="9" ry="9" fill="#ffffff" stroke="#000000" pointer-events="all" style="fill: light-dark(#ffffff, var(--ge-dark-color, #121212)); stroke: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));"/></g><g><g transform="translate(-0.5 -0.5)"><switch><foreignObject style="overflow: visible; text-align: left;" pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility"><div xmlns="http://www.w3.org/1999/xhtml" style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 152px; height: 1px; padding-top: 380px; margin-left: 701px;"><div style="box-sizing: border-box; font-size: 0; text-align: center; color: #000000; "><div style="display: inline-block; font-size: 12px; font-family: &quot;Helvetica&quot;; color: light-dark(#000000, #ffffff); line-height: 1.2; pointer-events: all; white-space: normal; word-wrap: normal; "><div><span style="background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));">openblas的matmul实现<br />template &lt;T &gt;</span></div><div><span style="background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));">class Matmul_cblas:Op</span></div></div></div></div></foreignObject><image x="701" y="359" width="152" height="46" 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requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility"><div xmlns="http://www.w3.org/1999/xhtml" style="display: flex; align-items: unsafe center; justify-content: unsafe flex-start; width: 412px; height: 1px; padding-top: 595px; margin-left: 388px;"><div style="box-sizing: border-box; font-size: 0; text-align: left; color: #000000; "><div style="display: inline-block; font-size: 12px; font-family: &quot;Helvetica&quot;; color: light-dark(#000000, #ffffff); line-height: 1.2; pointer-events: all; white-space: normal; word-wrap: normal; ">cblas实现<br /><br />tensorfunc/elementwise.hpp<div><br />template&lt;T&gt;<br />void matmul_cblas(const Tensor&lt;T&gt; &amp;a, const Tensor&lt;T&gt; &amp;b, Tensor&lt;T&gt; &amp;c)<br /><br /></div></div></div></div></foreignObject><image x="388" y="545" width="412" height="104" 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"><div>cblas对double的特化<br /><br /></div><div><div>template &lt;&gt;</div><div><span style="background-color: transparent;">void matmul&lt;double&gt;(const Tensor&lt;double&gt; &amp;a, const Tensor&lt;double&gt; &amp;b, Tensor&lt;double&gt; &amp;c)</span></div></div></div></div></div></foreignObject><image x="138" y="771.5" width="532" height="61" 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data-cell-id="Az3iGQj9nxM2931kqFIP-17"><g><path d="M 990 410 L 990 460 L 1100 460 L 1100 503.63" fill="none" stroke="#000000" stroke-miterlimit="10" pointer-events="stroke" style="stroke: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));"/><path d="M 1100 508.88 L 1096.5 501.88 L 1100 503.63 L 1103.5 501.88 Z" fill="#000000" stroke="#000000" stroke-miterlimit="10" pointer-events="all" style="fill: light-dark(rgb(0, 0, 0), rgb(255, 255, 255)); stroke: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));"/></g></g><g data-cell-id="Az3iGQj9nxM2931kqFIP-12"><g><rect x="890" y="350" width="200" height="60" rx="9" ry="9" fill="#ffffff" stroke="#000000" pointer-events="all" style="fill: light-dark(#ffffff, var(--ge-dark-color, #121212)); stroke: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));"/></g><g><g transform="translate(-0.5 -0.5)"><switch><foreignObject style="overflow: visible; text-align: left;" pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility"><div xmlns="http://www.w3.org/1999/xhtml" style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 198px; height: 1px; padding-top: 380px; margin-left: 891px;"><div style="box-sizing: border-box; font-size: 0; text-align: center; color: #000000; "><div style="display: inline-block; font-size: 12px; font-family: &quot;Helvetica&quot;; color: light-dark(#000000, #ffffff); line-height: 1.2; pointer-events: all; white-space: normal; word-wrap: normal; "><div><span style="background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));">某auther a的实现<br />template &lt;T &gt;</span></div><div><span style="background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));">class Matmul_authora:Op</span></div></div></div></div></foreignObject><image x="891" y="359" width="198" height="46" 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"/></switch></g></g></g><g 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style="background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));">默认的matmul</span></div><div><span style="background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));">会选其中一个作为默认<br />template &lt;T &gt;</span></div><div><span style="background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));">class Matmul:Op</span></div></div></div></div></foreignObject><image x="514" y="351.5" width="152" height="61" 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hBiY7wZ+jIBJ8TsL5IwYhPTsDQyKGZ65MxBAwTO+lTiLadss8uTcC2hp8IWN9q1O8Hg8CUjeFgQNCDbA6BOQkYztw4GSOYHf8mZVrn77UakFqA5iBgfLgx0bqQMJRSTdEkRyJQ/NrGyloEjPGhscNPz4VajLfOBk6QRYx6JIEqkaol2QcCdpvGV+/3msS0mG2nigjYseWfakW1IGuRUrudIyACtvMp0AAKCNQSMNYvH2uSk5bq83mGcy9DRHJQyI37G5Edv7Z8Tc1EzUHAqGsZi0szvrcnzR2aIaSrVE/NONckYCdJTvhu7sXpm6jCmDw3kirmMffXi8+0dQJGLUq0eZi5o1AqCZKJQz3+ZDjwx9QbtN2FD5g0YMfN0r2yMlc175LaCIHRCIiAjYZOF45EwEkTfjD5HyLL+DeyhlMgGfmymb0x5e3id/J38Yf/5w8fujbH9Ks2KRBeGcZJ+gs+fpgicdyGDJDfamz9whyCOQgYCTuJAkT4SOMTBCmhBqE7sZOygWcZmxV/TQLGc1y+Mfv+RQALAkw1BCfNFDj3ot6khsAHsE22TMDQeOG7xppyIfKTLPs1pa9EwI7157x5wO8ZqQB67XYjDVgtUmq3cwREwHY+BUduAPgwYUKbU/A1+nChQxKHurkLXy9PRfHkhtiRhgKpjYSrGe9UAkbOJ4IDXHuCJsXNp5dOqR18HJi5YmLUmvF5m7UJGPd1UzD+X0QeYqLzPFr8P8lLEUpL4SfWJlsmYBwc8lJIXVn982eEeHLgiCIT5DATJFrGmDeQQutUQSgJWtioAZcGbMguoraTERABmwyhOhiIAE7lkImpgvaKjzlh+3z4ci0WmjSiBzFRImhYPLkrZiLKviBfStqkvmScNeOtIWBnTR/Zko8Tdf+o1eeSZ4QnHYEXbYZwQjzHyC4I2LmagaLpos4j8xIlZs9H24nGrE22TMAg85S9ciGnF2bj3NTY9myUnsrTbxx1AlbyGexa869pMKSIuosI2JgdQtesgoAI2Cow6yYBAbK5Xzv9HRKFmQ0SxR8KMvv/x/96tnv+zf+ftl2kKfqRcR/SWniyT7KYk10cMx6Ciej5M8xSFwHjXfuVVHD5pgWTFGZVogQhjgiaEFIYxI93XqqGVBUvGDHuXRCwrmHG/FzUkqSczz4SsLyAOn5fHA5qhWAFghaiHDUClpcNIyULlTFqhQMVUasuImC1yKnd6giIgK0O+ZG/IQk8cbJ2gjWH5qkEKuVwPD8UZiH3q/K2JAn1DPqYvdAm1dTr65rANgKGaZGT/GXTxZAmz/Pl/cV0Gfxb1Nh5G4gjUZxo0RD82TCrdhWSLo13awQM4ukBBowtagHz8W9ZA4afF2WUXJ7XU0YrPhvvxCcLSWWPGgF7ZFabtKvweb428AXNqwaIgB35T852ARAB2+7cHPrIKNiMs/LTszqApeemsLHXRiSyETJ1xWTOKhE4PoLR6ZkTNCfpKPTJh99rUjKel0wEPSdg3OP6TdLN320iG08e+kb7xrO7D9T3p7QSntEdx220X+QDywVfKXymXCCRMc1DzSNsiYCBP8EE7vcGESV/VptsmYDlDuSYwzB31whrBB+kXPBRIlq3JHkpopqs9lvGj2cEA7BwIeCktph5roGkDxGwmtWnNjtBQARsJ7Drpk2CSk+KyQZLQWRMbZhs0JDdu0k2il8Q2h0yp2Mq9AjGY1I7QMQkR7sorOkPBP8oiBtk5lsF1KPDLk76ZCtvq1dYM2n4Nz0qNHxX42uGBiMKJI9SQ5hSXUgGinnSpeujAVn7TKgJyXhxWkd7UitbImD4hsWs90S/YqZuky0TiPuY2UPDwCnxxNru01CyjjGB054DBn9crtlEjL6iBQywenH4jfvg89ilyd0yfjwKhysigaPUFAunTamAuwhY7a6gdqsjIAK2OuS6YSJZOM2z/iBBOJsjZKmHaGEe5EPmpkq0Rx5NxjWQJTRIOCxTNzAK2q7nhn/gg/OkFtQvlnJs+c9Ty/zkRCreFl83TGt52aSrNIWqXx0akpqBZKyYRduEyM4YAUk5GUoutSUvzfuJBAziVhNNCZGIpsG+WpC1Cz3X4pCeIiaizfvZMoG4sJlBuqM8JmlqS3iwvglMwHGfdc0a/9WGjEFKXcgJ51UQ8j7iYcR/ayv35L9vGT/GiA8k/o+eu49/Y6/Al46DR0nYP9Ckk3OOdylqHUXAat9EtVsdARGw1SHXDVPqB48WY2NF84VQOxCNEY64nibCo5rQAqANQPggPTz9f8wBRs4s0lx4HilSOlC2h3qKbRIj8GhHlGEsDF07YbxLXFcqEwRRJDQ+j9TEtMI1Me8VGjSSsXYJ98JxPYbQv6xJeHqdSj+2SMBqny9vNxcBw9wI6UAgn2hwurSQWycQmAvzQwGaGVKfUL2AucPUjD8gxeDBEWF9YzpnPXoOPP4d8yxmZ1ImEKgRfZxO3WhOibSM+zgknFxYrH3y5JEAl5QlLlvHj3GS+wtsouAz+pxUmBztMYcyno01zx6AoEWkagQVL1y4hgTMJVEairFvv66bBQERsFlgVCcDEOCUiqYL/yhOtDiou8mEj9DV0ybqoeSeGZ4PCx8cPs5oyegDwf/JnenZbIkwdKnx68L5GxOYp6v4VHOKvkhmIqx5PO7L/aPgn8bYSH+R+6rx7kGaPM8X1+HDQyHqb1TckHZoW6KmoNYfbEsEDA2cBxVgOkb71yVbJxDMCweJ6PPXN52QaZIGoyUlZ1UkEPFa3gFfp/7vaHzQorYJ6y6WRNo6fjxH6WDShyEpWtAIUlc0+nt2RVGKgPWhqt8XRUAEbFF41XkBgZgeIo/0w4xA3bdYcDqaCSFGbuLBDHn2xmfkrU3yy0slIhN9QErmybYJySMQ8U/DlNOlOYt9MUYiLeNHF4IIKePjmgvvHVoKfMFcuBdaEcoO1Qone0wsUWqSSUYCxkefyMqhAnEk5H+K5ObHxwZtWFu/+0AgWA/4+mG27RI0fgRU4DvmVQ0ISmCN44+YS4mA8Q6gdTtNy432kYDxKPh/EkhTk7SZ1CVo+cgLiJacg40L88BBrCQiYFPeXl07GQERsMkQqoMBCHAS52OP1gune5zjY+Zv/GXu1mymXwhpCTCj4JyMYIqBuCB8uNikMVe8p9ECUNMOEw2ClgwzUJcvURw246JtzMBOolbyUdX4VUH2SKLpAhG8ZUq1kcNDKgnMUdEsRBsiKCk3NFTy0itcj18d/ZcCD/h9jBP+0HHhl0NqD+YODHEQZzwQTXyf+I1njnUfuyL+/P77QMAYK8ESrAE0MqRDwTxOpCfmM0yRmN3RmJb8mtD0/nY6VJDTCpKM+Zo1ic9YLrxHVBe4cmO+P31a/5jsOKRA5mJy2H3Bj2fkXYE8QapwTUBrziGH9UQkMYcvIh95913yagQ49INLSUTAhr7Vaj8rAiJgs8KpznoQoJahk4ySb4ZnEuck62SKLiFp+EmRKR6C5pszp3vq52HyQRPggv8YfmRDBI0DWfrjfTFroAnjY9YlfPTwzeEDQQCB+6fl12BaIQcYppIoXY7afc/ARwrfl/yUz9hJeEuusFzWIGAQ4Lb0CaVnwncnZjDve279LgSEgBDYawREwPZ6+vZq8ITWk4kekgJxQgMS0w/wMPgwQWDQlkRzHmkJ0KRAXl6bPXWePXxo5uzYHaZMTsxoLxCSp6JJ8nxdXYBDdvDHihGYeftSric0eTEFxZhJRYuE87YHKdAH2iYy/EdzjPe9BgHjXjiCx8LUbc+GRugyyaF8zPPrGiEgBITA3iEgArZ3U7bXA8Z5nlxZmPzQhuVCRBOh/JhlnjbgSTH1QGQgeFxf48Te1j0OzZgQCQggierU7Pj5fTyogH4xJ5H6Yo57gCmaN/DFn4h8SphoSoJp9XLpB8gPmsUlhKzmRPRBTPkDscUMh+8TWkU0l9R+RFtZY+pdYozqUwgIASGwEwREwHYCu266AAI4PkO8KFI9VYhIw3keU+gSAgkj+q+knZp6Pxzb8bOamtV/6jh0vRAQAkJACHQgIAKm5SEEhIAQEAJCQAgIgZUREAFbGXDdTggIASEgBISAEBACImBaA0JACAgBISAEhIAQWBkBEbCVAdfthIAQEAJCQAgIASEgAqY1IASEgBAQAkJACAiBlREQAVsZcN1OCAgBISAEhIAQEAIiYFoDQkAICAEhIASEgBBYGQERsJUB1+2EgBAQAkJACAgBISACpjUgBISAEBACQkAICIGVERABWxlw3U4ICAEhIASEgBAQAiJgWgNCQAgIASEgBISAEFgZARGw5QE/h5l9YvnbrHYH1syZwt2ol0hh5TXkbGb2E+FGFHL+n4k3PpGZXSb0QUFv6jTuUsD4GmEA4PuXuxzQEb73Tzdz8d6NPf+Jzew7GxvTHMM5lZmdO3T0KTP7pzk63nAfPPPPpvH9t5m9acNj9aF9v5ldIozz78zs03sw7s0NUQRs2Sm5s5k93swgCvz3T82Ml2yf5QfM7F/DAzzSzO610gM91MzuE+51UjP79sR7nzrb5B/W9HnfiX1Ovfz7zOy/Qid/bWYXn9qprh+MACT45YmAPTwVON/C+/skM6Ng/CvSH/aXrnE9xcw+YGavN7O/HYzCehdcIY3R73gLM3v2erffyZ0uama838g3zOyUM4+CA+ZZzezjM/Z7zqy/3zSzB83Y/5HpSgRsuanmVPNXZsZp1eXGZvbHy93yuz1DSu5hZs8wsy+PvNfTzexkZvZOM3urmb079CMCNhLUAZeJgA0Aa6GmP2xmHzGzHw39oyl9y0L3q+32B83s82Z28nQBGls+sG0EjDG/OXT+QDN7QO3NZmh3EjO7UXPIuVNDMO7Zo+HZAgH7bTM7/wzPTRe/a2Zv7+lrSQLGGnmpmV2yWcvXN7PXzPRcP2VmHwp93a/5zj1kpr6PVDciYMtMNyY6iMsZQvfPa06fN1nmdv/X63kTwTtf2qQ5wb9v4D3Z4P/RzDg5IZxAOYm6iIANBHREcxGwEaDNfAkHpRuGPv/AzG458z3GdMfhCq2zC9rn+Pe8z+c0JvWbhn/ExDenNqTrGTjEfbjZQ86cGn3VzC5iZpgWS7IFAvbnzcH5imMmpnDN9ZLWtKu7EgH7cTODCKJ1Haux5CAO8QZvBI36HZpv0u/P8GwXzL4rWCUYq2QgAiJgAwGraH7adEpGTRuFDfzWM/gstQ2BuXxdtnn8e2N6uHZzAmJTqZVfMrM/DI1/vjF//Vn4uwhYLZLj24mAjcdujit/1cwenXWE9uZRc3Q+oY8TJP9EJzS832fs8MH8ITP7YtKKc1tMlZefcP8xl3Lo/KNw4ceSOf1rhc62RsC+UtAsYtFAO4qUfsenC+KJjCFgV0n7LX18tNFaQdAwTY4R1uwjsgvn0IBeuDGBvyv023cIGDP2I3GNCNi804w/ESQIx92ScKq+WebfM+cIOPWgaYN0ueAjxUn+ZZU3Qk0N6fIN5sey8YqAVQI5oZkI2ATwJl56pWSqYQ6i/G+jueFw8tyJ/U+5/Fpm9iehgyc32uo7dnToPqjeBDPUi6cMYOS1v5e0L375axv3hl9oTKFgGmVrBAwLxheyMWLOw7UE+clGK4oJOAqEB+KDjCFgkGYc8bkP8pLUz0jov6v1wmcwfuvRgt1ugjIAf9S3hQHd3cweM3aAR/k6EbD5Zp+TKOTrXKFLTnn4a2AadHlDeqGWihzklPzMJirl5uGeqJ/ZfPtIGBGbmCd8XfDi4rsRZUkCxthxem4TzCf4u7hAFqc6RXOi/bnQJ+YRTultgoM+ZpUlRQRsSXS71xeuA3wES8J7xEe1a40uOXI+eh6MAXlhX2lbq7zD+On43vOlFL0cgzuWHGvsGz8wSAuaExdMqbmWEfLLHurCHha18WuMN5ognYDxPvo+UyJgJwyH1KkEDCd87vt+M+NAj/y6mRGANFY49PNNiIeKFyWXmP8c0emls6jsuzXvzONG9HPkLxEBm2cJsMlBBiBhLoRPXzmF53Lic1s8v5OWAi0VKuYlBCLzrKSpWCeeAAAgAElEQVRt8/7RhHHqhAC2yRMbtfqvhB/ZND+TNYaw3CD8Gx+A91Q+BA7MT+tomxOPym5XbXa5zKl5iZuLgC2BanefpDgh1cfpQzOIFmamXw7/xnt0tSxab43RQvz4aLoQAXnNjhtfN9N2EaVGtNquhIPTB4N5DhwvlBHIq6eoTh8jzvvPX3nAkYCh4cJ8iluJH6xLBAys8YFib6PtFA2YR0GyV78yHYZJtXPMxFQ0HMCxjkAWXTiQs5cPJWGYsf8i9IOmlW+HZCACImADASs0Z2OE7Jwi/IbfBac5J1i8VLxMMd/UN1P6BrRMSwgkDJNnJEtfTz4FpVPzjyTnWI+uWmJMfY7MImDHoi4CtsTqa++ToBkOBzG/HdFrmMTIt4XZD3Lggu8VWtNohllyxBx62Etc+8sH+QIdmlj2dcgO0WoumKI+N+MgIavsJ0METUk0VZEWg33Shb3qBeHvEBui+NaUXAOGyfZiDXnBOoBDfImAEQSBRo80Q38zEwHjmb1f/h9TJ3Ne8p2rxQd8IWFRE0agFuMeIqz96Bd8++bg8tQhHajtsQiIgI1fCSziB5vZvbMu0BgRRZNH+qCGRw1MKooorzazWzU+Ev8wfiitV3JPTiruT0BDyBfauNyxk7QVjGNJ6SNgkMYuHxs2oJioEY3AVBMkGEWfOfAhZ1Kb4MTaZaLEiRafiCkCDtFZmmS3pASZKr9hZu+Y2smBXc+HlY8J2g4XPqK8M/+c/gGHaMhCzMXGhxCCEDUBS0GTBwUQ2YhZqU1+cQXNEeSONB1DhHWNaY0obQglqQsgBO4LhsmRPcIF0svBdU3JCRjElTQLd2lMgk9oIWA4pGNeZU5IYTGHBoxnxqeXvYg1ipAe6LYTwSAogvXDt59vF6kyhgo56OK84BsZAy2G9ndk24uAjZt6wnAhLLmzPRs35Au/rzbBDPBbGfkl7QMRkktsNvgRYCL0DPL4WKDaJyTchedgE2GDRCAYbQkQyYIc8wihOXhVJYz4pEA4x8o+JGJlHucI9R6LUdd1mM5q52qJ+2+tTzQbvHPua8P4OAhBtPLM3vg+QsKiHxP+VHc1M5zMlxL80ajM4JF3mIuIsG7LPM47jI9iPKgsMbYxBIxxXMrM0Laj2cqd8NGkEFjgggtH9Alb4jnyPnMCdvYUPcq+BfHINWAQcYg6a+F0zX855MxFwBhb9LdC84kpdGxqCn9WNJFEa3KYHCOYvqM/8S40lWPGvblrRMCGTQknEggUYbfRlk4vnIQhNviM9AkaF7Rh5NyK8sKU6X3usg68xIwPPxC0drF8D4QKUwqk0gXtCyHrJVnSCb8PNxGwPoS6fxcBOw4f3kFO7Z4ygF8wqeHj11Z6CDLEe4TvUhQyzeMHs4SDO1qXGAhTCoyJY8m1SNNWTPvVYwlY13hyTd8a/pb5eHICBrnCWkDQFP5dOQHDmsC+DZFHYzfUCZ9DgCdrbcuEj1kW4g9BHZJSaKm5z/0L0frj5ywZiIAIWD1g+G+hAnZ1sF/JpotGiBI2Q+oSYvLgxYrO+fSJc+pjk3oe09Ncgn/LZwud4b8WE63i73KdjpuKgHXPSK4BQxsxNI8P7yX5f1y4fkzkJZoGzxlFXyJgZhw4+EjGYBOwQQuN43NfQAkkDAd4NDlROLDgDxo1y1PfXbTpaIDiPk2FjViZIt7jNEl7zX+R/0gaeR8T6WjQvrtgMhtr2uaQmNejxH90ihafPeosYXyYK2PZs6l4YkaMGdxL/ZWiIAmaQhNGglTep5iGAjzZPzHtYU4dSsAioeNZSxG4aNbYA5jPLQjrKFZ02UKFiC3gMngMImD9kKGlQvNC3pQcLwgNWq+xzrhkm/+d5MCZ5x3ig4C2DXPWVD+ntqfELMnpyyO/UKfjZ5XntonXi4B1r5mcgHFy7fuo5z3O5YTPmkU743LUCRj+OXwkY1oYsMHEh7mLosI1gt8gJnp8raJwPVnn+8rP1NyDDzFkgY9+FDTVbT6Kedb7PH1Bvh7m1jDle0PNc67ZhkNNH+EsETC0O6wPJ91OwCBl1HGE1HPYgSQNJWCXDeWZiJxHy7Z1uU0WzT5mj9v6M64yPhGwdpjxucC/gz9sLLngw0B4+hz5vNCCoYk6T+E+nL4wQ5APZ06NmN+KUytlL1D/c4rrC/veEgFDUzjV7IMJKiaznFqMWwRsla1r0E3Y5zAR4nAMeYrCBxlimrsOcBBxN4NvFRzO6RMn8lgcnn7RgpMTCV+gKRoL3sOc4NF/GwGDIEQzEH5CmAmjluqoE7Au8uprokTA8Olin8ACgobOCRgaSszY4O5lqnICxuELk12bQOKYFwQCFzWUbdd4YfVBL8GMjVnzMS8Z362uwKQZb31YXYmAHX8+Ud9DRtiw2yrTE+INYcqdSKesDvzLcPKEjOUfCX85OXXjA7LEYsexlyCCPtkSAesb65jfRcDGoLbdazDfEFmHn0ouOFYTmk9aiVwgZG7Kw/xL5F5JiErjncx9QomChozHQti1KOXle+J1JRLBIYoxxkjOvIQYfSxNwNgv+zRMXRiQZsNr0EIcazWSbX1SSD362UJ20HZ2SYmAxfa5Dxgph9gT0V4hOQGDVM3tH4VWm+jMKBwYcp/itudkvbeZsWvWKAcZ/KBdPEVHzbVqExAQATsODDZqcrngG1LKhcXJFgIE+Vqq7AIaHU7PLHAS57UJYfM4EZNLbG0RAetGXBqwtVdk+X6YcTGVEHjiRMpb8i5DtPHdbNOg1hIw+iQvkifsjKPhgEZUH9UTarXXfEiJLG47/JUIGGZVXCFc2vw4lyZgU2aebxFBEL73EuwwtSh27t9KWTUqAnRJJGD4wuIKEgUztke9skfn/REw4UXc8Qlci4Dhg4hJuUa6DhQ11+cpi5inNdKx1Ixtr9qIgB03XZySY/meOJEkqmMTJe9NHgEy54RDwNC+IUQuUqojhr37vcjXxeYyVdgg2PCHCJo6D7PmOnwgCM8fIqjQx9Sky6MgOQlONUHivwFpcpEGbMhMbrMtyT15d2IiUh8pyUjx0yKRaJcMIWD0gw8Qkc048udCJB3mSj7cmDPbBCd03qeYjT9vmxMwclThR+qCdgMft5If55YJGJUIYnoFMqtjhZgi5Alkj3NBQ9SXyDQSsCn35lruzf1i/c68TzR+0eJRE7ADASKVRJQ1CRjPQ11SF5QWS6ZimToPm71eBOy4qcGEwMLCH8QFZ9pfCzZ//p1QYzbaJYRswviOROFjwhj8NIiGLH/5xo4ld9od28/Q69AWkLxvqOxjGooxDqpywh+6Mo5tz7uC43mbJoB0AZCQmsi6oQTMR4w/IRnMIfa5QP7QuuHPmQfW4HRPHcqYvwsfMg5aMWIzEjDyMbFnxX0cX6SYzDSOYcsEDG0Thadd0CRNrRJCeThMsS6Qnb4D29wELD5TaVVzsIecu6Ct9QTAQ96CNQkYhxcUBC59ReGHPMeRaisC9r3TjXkN7QymPTbyrpPL2guF3EOQFl5YUlXkghNuTQJQfL3cOVgE7NgknO6/AabSgK29sqffjznkY0uKhpJg/iOYpo2YlK4ZS8Doi2SZVHTIEzX7ffDhxEyFOwOCVpkPf57agvcdk1yMZHUChr8XUZKxBBqO+9EUmT9XTsB4xtJe0jcjmOHmCD6K96GWIgdNlzkiNDHlOqY8Jzj3CQfwPPI0XkPglVslSLnRlXaDOe3zY+PQHbPbo0FlLQ8V/LDazNb09agmtyMRl8hUEyTR/7HuMVkAYrWVoWM/su1FwI4/9VSix66/VOqHpRZbnp247T5s2O50jM9bl98A64MNwdcJJ/g8BJ5UFtFBmZNYyak5judNaUMYioU0YMMQG5KGAvIeM8IPu9P6rclhFWsRUlYF8hyFd5jnIp1L7svTN+IpBIy+0aiTOJNs43luJ/KIYZ7yIsgc/CBjsRYlJh00X/kcRg0Y2nL65/3ko3qJnvqMeV99GLT9PlZL03U/ogWdsOKAj7lwqo/r+0KCaXKhzbG+yX/lPl5ELBJBPkXw58WH0IX+aiIhh94zmg2nEDCiQTGTRu7A31nDQ/JgDh3/QbYXATucaR1DwPqenlNOTN7Khk8m/Sj5po4vR14Hs+8+tb+LgNUidWy7IQQMcs3hY1+kRAJIE4CGAiHyDF/FofUK/fmnEjDvh48+H1XIGKZlkouSjypPYkpR5Jeni/go4+oAQesiYDRHS4b2iPJJXfn7Suth7FzPTcDACLz9e0Sah2jiYpzcExI15COPTxn7EQI2MUp07LPPTcCIPI/JvZn7aDYdO878urkIGD7DrOFcalJ8zPUsB9OPCNjBTOV3MzWXMthT6iI6TEYNWN/TE2lJvjMX0mTktRx3ScD4kI0xocTnRjsRyy4dVRPkIRAw1jYRgThwT60hOBcB87VGQAC+YeRQKn3AaEckGZoEtNLujN1HwLgO01PUBra913lf+JOOqSuIE3hXMEHfvpL/fuNksvV/55DnvrBELkKkGTtBSgQd1Ap1PYluR2q0PtTRjJUjSvcBM/ZB5PHpT9t4vtCDE99f3EGiaRTTLoR0zhRHjG8uAkbkJ76UuXix8tq5UbtCZneBcngI5JvuEALGRogvnEspjHuXBGyJ2RIBWwLV+fucWwuTj3BuAlaDANqFL6eC4N6+hoDV9E2brTrhe6Z5fw78tghIQHKHb/K2Ed1YI5gwndwQUIWJtkvmzuQfn6N0X/KUldJi4ENYk5OxBgNvMxcBy6NuvX/mhLmRDEBAGrDjg4WaupQHbACsizbFgXeIGn4KAYv+CZwm2TByEQH7XkT2NQ8YmtJSAuBFF/OEzvlA90W0Tej+uyaxmkSsU+5Rc+2hEzAOdbg5eCk2TIVooVwDhI8pvlzuR4d/KUTKAxjaMDxxph2vMe2tTcAu35I/i3RIRMrOKXMRsDznnI+RyE1Sseyb7/ScGA/uSwTs+JDNGYY8eEIqLqjJZRO7GUvAIKGcxj3KisicUo6jXRIwNuupqno2/hjRM7cGDJMF5r0hwpjw63HhA4W5Y6jgFxTLoBz1WpBD8BMBG4LW+LZ5WRvWfV7eCX84/OP8e0UhcCJeu9I1QJ5jeakaDQ17Hft/l+Dq4c78n298DvnTJuyNXUQR64L71HKoxgSK4MsYIyPHo3vclXMRMDR2fhDH15fSTD4vVzCzN8wx2KPShwjY8WdaBOxYTDiFxbD9u7dUANglAcO8MNUHbOk0FFvaS0TA6mdDBKweq7EteX9J0xATz7Y5c+flb9inSb3TdgDLE7vit+YBGmPHy3VzOuGT4NvzTkIQIZpgQnkjAmKmHi7jc85BwPBjJPWJCxG4BAxQPg/xyN0p+B6pa0XARMBKC56TGGp/8v0gqJXZENCI5VJLwChuzsnpoxPesH2MgpzwuLNfKgJWD6kIWD1WY1uSUDqWdSM9zTEtnZHWg99jvimqhuCYXxICdKgq4EKNxphnbOyY5yJgaLlJjcK+iHDgJYebR0BCat41dpCF6+YgYPl8kVcMLbunf0E7Rg61OYnjjBBsrysRsOPPCeHPHjlTO2MQFXINRUEVu0R5BnIIef6gmvGNMUHmfkzckzQXJaklYOQKI9cP9TRJGDmmdpgIWM2Mt7cRAavHTwSsHqsxLakUgPYr+pWi0eqKXiVPGtGMnnCUSMyfaTnU4S7xqjAwzH3sH1OlloBBsBhnW9WFy2SF2nk29tgnpAGSHX9IxGffc81BwEg66xGg+OJBHvHR+0S4eakIfN/YjuzvImDTpx7HTU4q+Aa4fDKpZefOFj1mtEMJ2HnSydE3OU4zZOHPE7D6WGoJGE7eRCIhOE9TFmSo7CMBY0NqSzvQ9vyc9qNvyXtb/O/68ONUHX3JRMD6EDvu96NAwNAI9TmzlxADG9bkFCE3Wjy0cjgr1b3N73GH7GBbyhnGNeRHi47s5GEj63yX8N7hB8bex59Thf/3f8OM6fVzea9J40E7vgP88f+nH+pA4rNbEjRyXlMXXypMpvhTeQ7Fz6S/z6VNmkrACNChYkjJJ5g15Mm423yFp6yVg71WBGza1IIfCztqhyh7glq2xtTGx5lcW6h2p2Z9bnuSIQSMUxiaKU9eSJ9sYm1Fyvm9loDxrF5ioy2ism829pGAqRZk36xu8/ejQMDGIo8mBH+lsQKB4dAaD2HsoWja+4Q9981ZolbIFvVlo+CzSvkdl19syV/lv2P1YF+aUwgS8EjavN+YJPZpaR+lDVHupKFAyJDfFxRQO96pBOwWqS6p348qKhS8R+6fKjLw/xBGxh+1YrVjPHLtRMCmTTnJAh8UuiCShY2kqz4YzXFmRNXsZYDIdYN2oiaZ4tAR1xIwiAIbYHSIZZNAxd81rrx/NIFoAHOJZs3SaZcNsq8EB5uk+0zQPy/5kJQcJew49UbCSbbtvrI1jPMFLROxpTQU5OVhc3ShtA1rTdKPgAhYO0ZTCBjv2zuTVt3vgDM6lQBqhZJF707vPqWmeB9z/9SoYaJffMvwIWsTxkV1gjm+ifjMYnpkH0TznwtjidGC+FL5exmDDUh4yr44h9QQMIhxm6UDbZ9r/ng+9ky0dMhpUyoRz7lGIuQ7zzHoQ+9jjsV26Bi1PR8vBv4AEUPq0fEC9QmnIjRN7uROezYltERzmy37CBgq5QckLRybkAtEBIIYo15Kz5VnsUb7F51f/Roy6qPtQyAvXk/Nf5+rTl0f9nP83mXOQFUfCyRjhhiarwr/kXgNeIKrZD0ERMDasZ5CwH4n823Clwi3h1jyrGaW+cC/PmmMSu0phs7e5HLuZs/5eE/H7HmebwySwbvLfswfCJX/P/+lbdvfsYJ0mQ6jHxkmRw6t3v6c6Zn4ruDre9YRaWxKj9lFwNivIKy3ST55mBqj5PnK2Mtjehva4u+MeRjBNw+8naDVzOeRbCMCNm7aSQTICSYmriRB3U0GdEf6AzYQwq5dOH1AetocNwd0/39N2wgYUY38xh9OMFGIZkH9jcNrn9COJIculFBhM42aKXwjYq4tTK7kx4pyKASsD6+a30XAalBats1RIGAcgkqHpT5kcZfo0xKX+sgPa7RpS2/TN4a+3ykv5hYG2kKs+vbV85oZhBBi1Uei+u7f9jvJStkfSRSLlOrrEohwpfT7XKkd2ggY5OqZyZmeW0KinpINPqbL4KeosfOmEEWy93tC3RJJG4vZwV4nAjZ8ajmtoS72ZHz0AJHCJ2JofTQ2BTRhOLm7vC29fNQIm0PaCBj2e8K4c2HjumVFYV+/Dm0eGwpRTTWCZodM13kCQxIrDjFD1NxrqTaYaucMEc/HKQK21MzV93sUCBgEBX+qNQQNLntLPLSyb6L1XyJ7OnuSH/rYl2v3J7DAbE+yV0yAedH0iBXfz5hHkL2Q7wD/RaNUEtJm3DX9wCGVKMJ8L8SN5WWpDXkOITfUlZwiOQFjPgjQgXBFHkCUOv5eLrjL4GTvbTBFxu9VHBOWjViOCBLJHEtaEBABG7Y0KFNECRTKZ7jgV0DI81gnek5EkC4iYFyojQYZGZJuou1J2ggYc092aXemRaXOaYzTz9DIm3s1JzrCpqMJs208c4WDe/+o7Nmw2Ni6Nss4HjZN8tWMiQAbtmLGtRYBG4fbnFeJgM2HJiY2ohVjeh9SUHDoYt+ZW/BF4gDr3zcc2zk41wgVQHDG579uasWpnGAk9n3GjIUAawe+TpjrPALeIzvZtzlk5qQJqwN+YU5C23zfeP/Bh6AopC8Qqua5ODT6Xs+Y8euNhcc5GGMe5o8TYrR0aEgj4eJwHhN0x3vjL4xvngu4Y+Gp3ZdrnuOg2oiA1U8nLwMnuEiU2FQ4waG2niI4NELs4gZFrixU9kPJUD6OnIBxEmLjwIQKCUHdTekL/kx5jnM0px2Kz+LEH32gGA/PwIkSP7c2J8+h+BEWTskSonHY0DiZ3dTMPtLTESQaggtxYzw48YL1EgEQQ5/J24uAjUVuvutEwObBkg8wLgpxb8NNAQ1MjYvDmFHkRGCIk//NUq5C7kvKCTLox/QQuJ94YW8vGM5eQkAQ3wj2ORJZE7HNYTMK0Y74WSFovyA2bYfAvETTFUfmTvT7gzUm1pJACtk735H9iIYsJq/Fpwsy2lV95DmpL+8K8yaBSZICAiJgdcsCcgFRQV3swskA/6cxH25wxy8KTQzqav7Q112y4RDdw6lqjLAJcFrheohWLvis4ci6xAl0zHhrrwG3Oybzae67xqmXTNltebfYKCHRMdKT+0I8MTdAxtBG7lpEwHY9A8fWEVQx7mnzwIEMLRLvrAvalesFE9u0O5SvJkjmyeEn3C04qNUI7z/kkL2EJLHs7ycLh1Oy1XNgQ9vP3slBMPqxvbohMldJdSpjcWoSfGPu9W8uWiT25zbhnqQy8m8OzvpEIY45JLP/Q55KFgoIEiZRSHEU/Lw4pHt9Sn5Dg9YX4Q/Rxhcs5j/rqlhQMycH20YErH9qWYg4FMb0B6hZOZEQJQOGLLZIpvz/2/6Nf68x16E5ItoErdUQ4cSGLZ8NsEv4yLAxETE0NZ3DkPGNacuLjfM+5Ctu6N4XxIpnoYRSmzBXFIzlFHqt4Agb26M2h4hxkovFfMeMeew1ImBjkZvvOhGwaVjiFkC0X/S9wjQHgXnJtK57r8Z/KuZmxJLAWPoEbZ3vH7kvFE75kK37htI7nhkeP16+B0hMAMv+i5YMDND8u6kSnzQO9Z/rGVD0BaMp3yHI61CrCPtZroUi0IB9sDQX+CZziHUTKPfmG3SdPgDT73nOMEg3GfRjsFZlV4fdTASsfX4hXHzQyVbsESveGnUuH0lOyLTzyI8lVgsnE9Tefekg/N6U88AZMicpJPRDi8cpig0pnmw4XT0+JTPcmkYMAnzbRESjA68/L7jgu1aTxDHOD3NHglkIXTQrexvU7CR35PRck1R3zrkXAZsTzXF9iYCNw429ktqAHJbi9wXSwWESDdGSgl8T6Sbins37jWmwT2J6iDzSzxOnxqhENxOyR7PfcojFT8x9vx6c9qY84Al8IHI1kkcgep8119LmTqG8kV9DEBkmxxIBRJnAtyJWJfj7Zn8l99qQbwOatajhQ1nB/I8pQVf7rHvXTgSsfcraogSXnGTCpAnvhmhEcyd+Tfg1dNneGRdkAiIVCSEOo/gyxI2PlwkVuJeP8GfiZMXmhXmV/5LckD+clnCk5ATrgQHcAy0e/2Wz45THH1Tn/MEPjLIcXpqDFxvSg9kQbRYaqDZtFSpzQuQ5oWE2LAl+GPhZcAodeiKM/UFEUa2jhi8VAqZvfMbI79aVyHHOdSECNiea4/oSARuOGxoezHPsL1EwmxFUFJOPDu/9WFLHPsQ+Cekh8Im/o2HhncHJnZyGsSxcV9ReHAN+uOx59INflicd9TbsVWjIsBZAXhD2DT/4xTxjlGlCk/6ktI/j7uGCvxX41LquQCjZ/6MmsdY1BRMqz+SHcQgiTvYPbIk8xTJDtRICDVzAF03e0Khvxov2LzrwM08oNfIURGPWwkFcIwLWPo1RHT12stl42MghVfkf//f4X48WgaSgso6+ShAAEr22SV5bjXZsJAQJQMJygTRRi40+a8yhYzEoXUeED6HVUSBdnJCun/y4SmuTDQQiSYmRJcgQhJSTKaHUJa3mW5JP3dKnOBGwOVfbuL5EwIbhxl4FUfBEpn41/kC8T3NEHMcs8bWj4xCHCa5PMMW5iQ1zHRqcKO4bBuFy8yYO6RAthCTTnjqC9xeygRYJbZOTJ7SA+JcNrQ2LSY/xxD2x1rkdlwssH2igONS2FTuHFGLijAd/IiNJOM6/jxEO2vi9eWkl7wPzLsFhfQqFMffcq2tEwLqnK9bl8pacvL6YSA3hyvEPJIu/+3+n5PLixUEV7HME+eCFbtMaob2hvRMHTh+UN+pLPoidn5MlG1UevbjUYiayCK1cFP5OJGZJwJNNlCgi1OFLCydoiBj+HDk5ZSzkt5njg9L2HCJgS89wf/8iYP0Y5S1I6vniQMLQ/PChzR28h/d87BVogzi81QqHNbRUff6taGm8uDjO6mjd89QJ7Ke4gtAn/kwI2n18TzmYsTflrgrkwGIfdwEL2o2RWNuS58Etg320RtCYMS9tUafscRDFWG2De6Dpq/Gd6xoDJllIWCz3Ro429tAjXy9SBKx7+VI7j5MdpAfVMS8nJ4m1hEgeInowAUIIeHm7zG20IR8X6RVwCq1Vc/M8kC8idfB9QOXMZocKO/qKjX1uzJZoA9mIcWalfiamilwI28bHAWEDxPSHHxb5ynaRS4ZNA38NL7uBEyl+Y3MX7c1xEAEbu9Lmu04EbByWF23cJfBbul/HgWpcz8deFeelrR/2S1ws2E9qk2NfJFkD0GIRgJMLlgLyi7G3YqarEdqTyoHo9mi6rLm21IZ9E39X3CVwNZlT0NKRbwwnf/Zo/IRfNdMNcD1hv4eMQrous8IeOtPQl+1GBGxZfKf2jt8U9npevJqIPOYTwsCfOWpKcjLiBMM4MFnim8Yf7gMRRM2OmhqChToZkuR/8M9g8+O/QzJdY2YgKOBFA50+p2LddT2ElLqdEOIp/ma1Y4SAxRIxnFy7QtZr+1W7egTQXrjvDOsxr11a39O0lmhw0H64oClmPGMEE1t0/kYj45qfMf21XQPxqCU+Q++LawgfdPc55V4cEnkvOeTh84QpdI33tHbsRH5CSufQBLIOS4fX2rF0tTtR8s96QkeNzbH3YU/DPw9yS0CDZKbK7wJSCAgBISAEhIAQEAJCYAAC0oANAEtNhYAQEAJCQAgIASEwBwIiYHOgqD6EgBAQAkJACAgBITAAARGwAWCpqRAQAkJACAgBISAE5kBABGwOFNWHEBACQkAICAEhIAQGICACNgAsNRUCQkAICAEhIASEwBwIiIDNgaL6EAJCQAgIASEgBITAAAREwAaApaZCQAgIASEgBISAEJgDARGwOVBUH0JACAgBIQyxoM8AACAASURBVCAEhIAQGICACNgAsNRUCAgBISAEhIAQEAJzICACNgeK6kMICAEhIASEgBAQAgMQEAEbAJaaCgEhIASEgBAQAkJgDgREwOZAUX0IASEgBISAEBACQmAAAiJgA8BSUyEgBISAEBACQkAIzIGACNgcKKoPISAEhIAQEAJCQAgMQEAEbABYaioEhIAQEAJCQAgIgTkQEAGbA0X1IQSEgBAQAkJACAiBAQiIgA0AS02FgBAQAkJACAgBITAHAiJgc6CoPoSAEBACQkAICAEhMAABEbABYKmpEBACQkAICAEhIATmQEAEbA4U1YcQEAJCQAgIASEgBAYgIAI2ACw1FQJHGIG/MrNLhue/l5k98gjjoUcXAkJACExCQARsEny6WAgcGQREwI7MVOtBhYAQWAMBEbA1UNY9hMD+IyACtv9zGJ/gp8zsQys90rfN7KQr3Uu3EQJ7g4AI2N5M1UEP9OZmdub0hI81s3896Kfdz4fbMgG7rJkdk2B9mZm9fz8hXnXUImCrwq2bCYHjIyACplWxBQT+wcxOlwYCEfvMFgalMXwPAlsmYC80s+un0d7SzP5Ac9eLgAhYL0RqIASWRUAEbFl81Xs/Amc1s0+GZiJg/ZjtosWWCdjnzOwMImCDlsWZzOzxA664vJmdMrQH8/dWXv8dM7tBZVs1EwJHBgERsCMz1Zt90F8ysz8UAdvs/PjAtkrAIF6QARdpwNqX0veb2TdHrrQPm9l5w7XPbjTVtxjZ19DLTpgu+K+hF6q9ENgyAiJgW56dozG23zOzO4iAbX6yt0rA0Ky8QASsdf2c2MyuZ2Z3Sjg9buRK2yUB+0kze4uZPcXMnm5m/zjyGXSZENgUAiJgm5qOIzmY95nZBUXANj/3WyVgj2mCNu4mAna89fNjZnY7M7ttQ1x+NP36q2ZGkMsY2TUB+3QaNOZMfP6eaGbvGPMgukYIbAUBEbCtzMTRGQfmhP8c8LgfyAha26UXaTbkq5gZviqYpU5rZpz+v5JOzG83sz8zs9eZGWHxNfKQpu19Q8NfM7NHhL9f2cxuZmYXMzM+eCcws682Ggc+Vn9iZs80s28VbvSDZnYrM7uameEM/UNm9u9m9mUze2tyIufE3yfPysxAv25mDw0XXcnMbmhmYIPPz8lShCn3gVC9tEmu+ud9N0m/TyFgpzeza5oZ0YqYsfg7/kTsP0S8Mp73mNkbGjxe3IJZHGY+lr5HAN++yNol1k/fuJb4/VJmdmczu46ZuenO73MIBCxi9q5ExNCA1r7TS2CuPoXAKAREwEbBposmIDA3AftZM3t4SEPQNzQiLO9nZs/ra5jIFyTM5YFm9gAz+4F0/S/09PF3iWR9LLS7bjKjQAq6BB+bXzazLr8XnKj52LpADiGJaDyem8ho32P+RdKSMNYuGUPAeEbwu7WZnahvIOl3CCzP8IyO9nMSsCXXT+UjT26Gb9dNkpnxAi29fSrNw5tH3m2XGjDeNw4LHK5KwiHr983syZk/4MhH1WVCYB0ERMDWwVl3OQ6BOQkY+cPYePOTfg3e+JP8ipn9T0fje2Tldii9A3lDUxPL8nTdD8LHR/HfzIyAA4hV7XsHwbprR+cQrnuG3/Gnu7+Zoe07Rw0Iqc0XzOzSZuZmntKlQwkYfjto1842YByxKSamSC7jb3MRsKXXz8hHr76MiOE7JmLVRuhfn6IdX9Wz1vtuuksC5mNDe3qXJmr6pkmbm4/5v83s5Ukr9sa+B9LvQmDXCNR+CHY9Tt3/sBBwnxTMhB/MHg1TUIxqw1z5z4XHJ9oNE18U/EOIqHx1yiXGtZi7MMughfnxrP2TktagDV3IT/SZgRRgKrx3uoCPGn8gMKcwswubGePCxBgFrRkmyXemjOA8zx+ZGSaUryeN1c83CUSvlZEzyOG5zewTLQPE3Hif8Bvk7uTJ6Zp/JtP5S5ocWR9piNo3mg/TaRoz7MXN7EbJ7Bm7ZR5+uiFwfMRKMoSAYfrFPyf69tEn5mTG89GGWP5LMtkyP5A/xgSGUdAAljRhP5zMy7TFVBtJHv5g0SmfNuSZ+9+s7zXWzxJvLXs2pmXIKRpYzN65sEafk4hX1L5OGc8WCJiPH7LJ+8wBCqJfEsbL+w0O4CERAptDQARsc1NypAYEEftS9sQ1ecD44JLtHLLhwkf9Go2WCVNLSSiFAoFi446CWaPttMxpO0aNvSlpvvDrwscG7UIukLy3JZ8r/w3z3ucbzdllklYIslEilUSrvSjr0M2epWfKfdT+3sx+IpEoyCMasZx40A+4Q4QukXV6+4awPrUFvyEEDMfvvJ/fbDSVv9MyHm7JuPHRO2e4P2vjLD0+YR/PrqlJQ7HW+pnzZT5V8veDdLRpN1lnkA5I69fmvHnya9xVGoq2R4F88s7znnolhLwtOJCYF1z+dmZM1J0QmISACNgk+HTxRATGEjDMDGy8Lmig0Lb8U8V48mvREp2/5TpC959Q+A1n/9d23Iv8SDjI5wJZ+JnGx+k/Oq6lX5z7XSB9bR8XCA0m0VxyZ/zS7dCGoRnzCgS0QWtwvpaxDSFgaL/QZLpgEs3JXuk2+GOhJYzSh/UYArbW+qlYjr1NzpM0PQR75BpCvxg/PszVr5xoZuwazJY0YKVx9pknOYhA8DmEvWZBnHonVA2EgCMgAqa1sEsExhAwNCWc9KPpBW0UJr4aOWO6PvqNQRYwB+ZSImB8vDEVdgkmEjRc+fsFafzTnmvRQuFM7AKpxFRbkhIBA5tzVUaaYkp9WNYxJk9ITS61BOz7ksM0UaGQO8ZOJGlt/ik0mYzBhfHFSNR8XEMJ2Jrrp2Y9ltqAIWuF9dfmeL6EmbFrvFsnYD523j1M1/jGtZkn0ZKjHcaFoS86duwc6joh0IuACFgvRGqwIAJjCBhO5pjlXCAcmJRKpra2oVOwmbQILmi5MGPkUiJgNSSKfr6Y/M+8T5JHQkrafKy8HWbKPFKND3IpWKBEwGq0X34vPlC54z3PjLkml1oCVsKcfaZ2fohOxUTrgk8fzvJtMpSArbl+xrw6mI7vnpmwYz+sd8gDZsY1ycO+EDDHqsY8iSaaaGGibtfEcsy60DUHiIAI2AFO6h490hgChvkAh3UXPkb4xQwRMu9znQvar2gy83/PCRgkAgd7Ihr7hLxWOLW7oKFDU9cnZy843eP/g7N+LiUChikWZ/daIUoTrZBLG55TCFjtWGiHiSjOJxrDaG7O+xpKwNZcP0Oe29vm8+H/voaZsWu8+0bA4rOQa48DFqk6yIWXy4WST+mY+dI1QmA0AiJgo6HThTMgMIaAYdojCs7lNikVxZDhEAmIo7wLTvUkBs1zbuUEjOhMEprWCNF5RF+64DBf8tfK+8KJH4f9KJjxSv5tOQEjGSWBCX1attg3qSKuGP6BFBtXKDzgWgSMqNOYeoMoUxLWtslQArbm+qlZJ3mbSMAwMxIti38Xptldyj4TMMetzTwpArbLlXWE7y0CdoQnfwOPPpSAkZAxNxVAaiKZqnmsU6eM67EtmqdPZhfnBIxUDW2JLvP74jxP5neXPIt+2zhLmNQSMNJVxCjCGiyorYfPjEtbUMJYAoavHWkTcMLHwR8CC9nlTyl/GwSSiFWXOQnY2uunBv8uAsZ8PiqRsK7AjTH3GXrNIRAwnpnDBhUBYhJlEbChq0HtZ0FABGwWGNXJSASGEjBMZWgIlhAi8N7dQ8CI7qPsUI3kBIy8TZjX+mQKAUPrhg/ZEHl0+iD5NeBLKpBchhIwcoHdK9VpJOJyrMxJwNZeP2OeuWSCJGcaCYfxzSPVyC5knwkYZkeSIGOGJKo0FxGwXawo3bM6I7egEgJLIDCUgJEuYoh/05AxY3bD/BYl14BtnYARZh/942qePzdjtkVdDiFgmIjJkcaHbarMScDWXj9jnp2cVZCFUoJVz/SOSXJsSaExY+KafSRgBJngT0juv7ZKAWh8SXVCKhuJEFgVAWnAVoVbN8sQGErAOL2Su2oJISryFXtOwHAw76tPmWP3YDMjctKFrPFeqSC2rSVgEAc0cXneL0zHlH/CmZyEmNTvw/cuj+5c0gds7fUzdp2iqfMSQ5jLS8JBhOhdovhKBd/H3rvtun0iYJdLfoQEb5SILL6eREKjkV6byM49L+pvjxEQAdvjyTuAoQ8lYCUHdfys/nIhLPZNA8bHhI/PEMlNkPjB4Q+XSy0BKyWhRTNHaglMaX2yJAFbe/30PWvf7/jCgRtaHBL4loSggqelqN48eKOv/yG/b52AeUFyzIxtyYS/3JQjw+eRgwBpYiRCYKcIiIDtFP4jf/OhBAwHbWoaRqnNyzUG7H0jYO/LUl/UPHPuhE+Jp5LpsJaA5dGfJL3kg/jNmsGkJLQko3WZ0wS59vqpfOSqZvgesh6vH+pgxgvR6pDqBPMkczW3bJWAkVgZgkogSZu2kEoMaLso80V9WIkQ2AQCImCbmIYjO4ihBAyg8gSnnHhL5YLmAHXfCBh17/JC4H04vC5FKXq7trxbNQQMLQT5ykgc60JS0cf0DSL8nufpmpOArb1+Bjx2dVOqC1Br83aNY/4ZWq56b3on/ripIkBqkjlkawSMAu68+9fO1ps/K4T/+QkHDiYSIbA5BETANjclR2pAYwhYXsfv2alI8RLA7RsBAwM+ykMcismsHqMeH974FN2nAGYNAaNwdl4MnahMtGI1AoHDB40UFS5zE7A110/NM49tQwoPSmKxRmO6k9gf1RcwT1LaaqrJbQsEzE2yEC8SDpeEKFKel6jRr44FV9cJgTUQEAFbA2Xdow2BMQQsr1+IDwwlfr6zAMz7SMCI+KLGXY1A1kguG+WmybE7v76GgJEjDRNmlHMkp/ua8aDVwT8nytwEbM31U/PMc7Qh0ztrlbnDzJoLZreXNOWgHlCoslB7/10SMIjXbyTNX6kuKhUqiLrFzLhkQfJarNROCFQhIAJWBZMaLYRAiYCdNRXLbrsljtTkQopmLvw/qI1XKz/X+NGQmR7zGw7iJHIt+YbsIwEjIKFNI5LjQ24yfIZcSHPAnJSy7tcQsFJtyYs2kZnvrJgYfHkwFeV+PGTqZ77aJM+E30dA11w/FY89axMSzd4yRVCWAilIQEqQwxjZJQErrSueAZM7GnDyo5G0ViIE9goBEbC9mq6DGywf2/xjj7Mx+ba65KXJ98PboAUjSqwmSSU5qv46i/RrS5K6jwQMTK5rZmDUJWhKSOkR60C+sYkovXzLRTUEDLMY6SaiFoZKBZDdLqHW5WsbMkyJKCLVYhqMvsAC8jihAXLBfIoZdQvrZ1cvLPv6lZNWjBxXnorhUAgY6xbSRaF2yjVJhMBeIiACtpfTdjCD5oNNDqOozaqpmYiWDFPXKQIS+H4QIZZns49g8aHGMTl+sD9rZuc2s1Kpl30jYOTWwkTDRwkscGgvCbiBQ15jkSSuaARLUkPAuA4T0FVDB/jhXNjMPt3SL8lRX5wIMf5oD2pI4bNCWzSTPBPajpKQeiNm/2ec/B2zVJustX628KLi30dOsVslbPdVA0Z6FPz3MDNyUJAIgb1HQARs76dw7x+AhJJ8hF34cJJcEi0VxOxsKccRpqYopXxTJPUkio8/fMyJyMOh+1wpQzyEIyZm5OOOeYuyQSXZNwIGkSFKzgnJq5Pvz8eSZgqN4yUbLRNpHjDrROlL4lpLwMAzJ3EQw4c198acCCEjUpM5v06IYsOHD9MpaUbQakXBD+y30zNAlGOQweNSNFxsj9M/SXUhotSexARKioa118+WXk4CHCgJlfv81Y5xlyZISgmhuV4yz1ktDmonBGZDQARsNijV0UgEKFLdZzIi5LyU2+hmKdrpRCPuzYf8Jikjdtvl+0bA0BBgTsWnrS1FQelZ+bhC2roSpdYSMPpHgwVBrhWIMHNBnib2JMhzThC9L+pLPjJ0jI8ZZL1L7t8U/qbkUi5Lr5/a59+HdrskYPuAj8YoBAYjIAI2GDJdMDMCJ0mZ7C/S0W8bAeMSfL/QrlxxwLjQ9tytwnF33wiY5/BC64Nzck1WfEgPiSzRUnXJEAIGIcZURL6qPqEsEY7jbw0Nb5hMpKVrcwJGm5IWLF7bRsCWXj99z75Pv4uA7dNsaax7gYAI2F5M08EPEqfteya/JfxzEJy58c96j5lRr7AvtxVEDIfjY5JjOX5D9Iumi3xImDD5yGOKys2ZbQDvGwHD/+rq4WFwqIfMENiARglTDlouckJhdn1B0pbVLLAhBMz7I6M+Eapo19DIYQ5mPjCD4auHxo4/RF/mQm1O1gT5niB0OOcTnPGIFj+/mzdr5DbJtEnaAnzGuAZfwadWZIdfYv3U4LovbUTA9mWmNM69QUAEbG+mSgMVAsdDALMaUYYufTmzBKEQEAJCQAhsBAERsI1MhIYhBEYgIAI2AjRdIgSEgBDYAgIiYFuYBY1BCIxDQARsHG66SggIASGwcwREwHY+BRqAEBiNgAjYaOh0oRAQAkJgtwiIgO0Wf91dCExBQARsCnq6VggIASGwQwREwHYIvm4tBCYiIAI2EUBdLgSEgBDYFQIiYLtCXvcVAtMREAGbjqF6EAJCQAjsBAERsJ3ArpsKgVkQEAGbBUZ1IgSEgBBYHwERsPUx1x2FwFwIiIDNhaT6EQJCQAisjIAI2MqA63ZCYEYERMBmBFNdCQEhIATWREAEbE20dS8hIASEgBAQAkJACJiZCJiWgRAQAkJACAgBISAEVkZABGxlwHU7ISAEhIAQEAJCQAiIgGkNCAEhIASEgBAQAkJgZQREwFYGXLcTAkJACAgBISAEhIAImNaAEBACQkAICAEhIARWRkAEbGXAdTshIASEgBAQAkJACIiAaQ0IASEgBISAEBACQmBlBETAVgZctxMCQkAICAEhIASEgAiY1oAQEAJCQAgIASEgBFZGQARsZcB1OyEgBISAEBACQkAIiIBpDSyNgOoVLo2w+hcC6yJwQjP7z+yWP2tm7153GLqbENhvBETA9nv+9mH0ImD7MEsaoxCoR2BLBOwEZnZOMzu7mZ3BzE5hZic2s383s6+b2d+b2UfN7Av1j6eWQmAdBETA1sH5KN9FBGw7s/+DZvYvheH8h5md3sz+baahsq/8nZn9ZKG/U5rZN2a6j7rZDQK7JmAnaUjVDczsumZ2eTNjTfUJBOxVZvYCM3tDX2P9LgTWQEAEbA2Uj/Y9RMC2M/9tBIwR3r4hYU+daajHdHzktkTAfqLRkNwyPfP7zexlMz3/oXezKwKGZutXzOzXzew0E0D+gJn9ppm9YkIfulQITEZABGwyhOqgBwERsO0skS4C9k4zu+hMQ312owG7WUtfWyJgdzSzJ6VxMuZbzPT8h97NLgjYuRtT4x+b2QVmBPelZvbLLVrhGW+jroRAGQERMK2MpREQAVsa4fr+uwgYvfyUmX2kvrtiS3xwvmxmJ98DAvYcM7upCNjgGV+bgF02aatOVRjpt8zsr8zsz5PZ+yvJlP5DZna6xuQIcbuymV3YzL6vcP3HzewXzOzTg1HQBUJgIgIiYBMB1OW9CIiA9UK0WoOcgH3KzM5sZjgyI49uHJfvMXE0tzKzZ6Q+/tfMPmtmmPpctqQB4/nPIgI2eMbXJGAQpzcVCD0O9o9p/L8eVem7iIP+bzdE6+YFIsY6QPv7z4OR0AVCYAICImATwNOlVQiIgFXBtEqjnIC9t/Gn+Y6ZXSzdHe3BjxdSDAwZ3FvM7FLpAtISoBE71wYJGNqRfwjjkgmyfpbXImA/bGYfTGsyju59TcqLq5nZF+uH/H8tIVp/2pieT5td+0Yzu4KZcWiQCIFVEBABWwXmI30TEbDtTH9OwD5sZs9rwvYfEoZIZBm+MWPkbGb2t+HC32rC/2+TfUC3ogG7ZuZ0LwJWP+NrEbA/SBqrODK0YVefGEnLOoVwoRWLcmsze2Y9DGopBKYhIAI2Db9DvRqzDB8ofCfOmnwpTpqcVVHXv635d/xnOJ32yRQChh/RVdI48E/CXMYHnGgoUiZ81cyIaHprkwfouWb2j32DKfyOXwg+JtdIDr5szj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requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility"><div xmlns="http://www.w3.org/1999/xhtml" style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 458px; height: 1px; padding-top: 595px; margin-left: 871px;"><div style="box-sizing: border-box; font-size: 0; text-align: center; color: #000000; "><div style="display: inline-block; font-size: 12px; font-family: &quot;Helvetica&quot;; color: light-dark(#000000, #ffffff); line-height: 1.2; pointer-events: all; white-space: normal; word-wrap: normal; "><span style="background-color: transparent;"><font color="rgba(0, 0, 0, 0)" style="color: light-dark(rgba(0, 0, 0, 0), rgb(237, 237, 237));">某auther a的实现</font><br /><br /><div style="">tensorfunc/elementwise.hpp</div><div style=""><br /></div><div style="">template&lt;T&gt;</div><div style="">void matmul_authora(const Tensor&lt;T&gt; &amp;a, const Tensor&lt;T&gt; &amp;b, Tensor&lt;T&gt; &amp;c)</div><div style="color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));"><br /></div></span></div></div></div></foreignObject><image x="871" y="545" width="458" height="104" 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AgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBBYTEBAuRi1jggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQEFAaAwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQILCYgoFyMWkcECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECAgojQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBBYTEFAuRq0jAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQElMYAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKLCQgoF6PWEQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECAkpjgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBxQQElItR64gAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQGlMUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwGICAsrFqHVEgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgICA0hggQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGAxAQHlYtQ6IkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBAQGkMECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECCwmICAcjFqHREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgIKA0BggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQWExAQLkYtY4IECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBBQGgMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECCwmIKBcjFpHBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgIKI0BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQWExBQLkatIwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEBJTGAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECiwkIKBej1hEBAgQIECBAgACBnQjkd/pbVdXXVdVnVtWlqip/986qemlV3XgnvTro9avqOT2Gu1XVA/bA8mNVde9ev09r7vvN9nAeuiRwWoE/rKpr9Q7y3VX1oNMe9Bzd/x+q6pK9a7t5VT31HL1Wl0WAAAECBAgQIHCOCggoz9Eb67IIECBAgAABAgSOQuC8VfWEqrrliqt9W1V91FFILH+R962qe/a6vXpzH165/GmUgHIP6LrciYCAcjqrgHK6lS0JECBAgAABAgQOVEBAeaA3xmkRIECAAAECBAgQmCBw96q6/5rtBJQTEE+4ycuq6hrtvnH+6Kr60AmPdZrdBJSn0bPvIQkIKKffDQHldCtbEiBAgAABAgQIHKiAgPJAb4zTIkCAAAECBAiMCNyuqq7U/n2mvXsHpaMXeENVXaGnkIDs0VX1gqp6b1VdpKp+/uiVtg9w6apKKNn9eyrmmWJ3H01AuQ/1w+0zY/L7qirV1fmMOEtTpAoop48rAeV0K1sSIECAAAECBAgcqICA8kBvjNMiQIAAAQIECIwIJBC5TPv3CSoTTmnHK/AxVfWWweV/T1U98HhJFrvyr66qx/R6u21VPWqx3v9rRwLKPcEfaLdXq6rXtOf211V1xQM9z7HTumhVna/3g/c00yi/7wyd/5KnKqBcUltfBAgQIECAAAECOxEQUO6E1UEJECBAgAABAlsXuEpVva53VAHl1onP3AE/q6peMjjrrDeZIFvbrcCvVlUqmruW6V3futsuVx5dQLkn+APt9g5V9bD23M5aQHmgpAd5WgLKg7wtTooAAQIECBAgQGCOgIByjpZtCRAgQIAAAQL7E8j0kY/sdS+g3N+9OJSeP7+qnts7mQ8Mqo8O5TzPxfNI5WoqWNNeVVWftseLFFDuEf8Au/7lqrp9e14CygO8QVs6JQHlliAdhgABAgQIECBAYH8CAsr92euZAAECBAgQIDBHIOsIfktvBwHlHL1zc9vrV9VzepeWqRAvdG5e6kFd1adW1Z/0zuh/VtVd93iGAso94h9g139aVZ/UnpeA8gBv0JZOSUC5JUiHIUCAAAECBAgQ2J+AgHJ/9nomQIAAAQIECMwReHlVXb23g4Byjt65ua2Acj/3NWHkT/a6/pKq+p39nMp/9Cqg3CP+gXX9EVX1T1XV/TtfQHlgN2iLpyOg3CKmQxEgQIAAAQIECOxHQEC5H3e9EiBAgAABAgQ2CZyvqt6/aaPez185CDDHds0xv7iqEqhct6ouW1WXqqp/r6q/r6pMW5kpQ5/RbPfCGX3ft6ru2dv+7oMA58rtlIM3qKqPr6o8RH9vVf1jVb2iqp5ZVY+oqnfP6DObfkpV3bqqshZjKoY+sqou1l7Pu6rqDVX1mjY8ekpT5fYvM4+fzc9TVV9YVTesqs+tqqzxGLPzt0FAriHhcSoZn9o6TunmZlWVc+rakxuLW7R/yHXco6pu3rgkiE5VZPfzeH36lA7abbIeZc457YrNuomvH+z736vqzROPl+P87WDbVUF5xlnua9ee3qyXedPeny/eruF4k/Y+xvRDVfX2qvqLdhw+tKr+ZuK5DTfLmPuydqxn/dbLtI45/l+24/tRg0rIqV0ljMx4SMs4zv3K/25qu3r9nTagzD3MWMs15fV56fZ1lKArIUiqRXMvM74z3qe0CzTvCano7Vpe2xfp/Tl93LGqcv/z2v3wqnpP+5r9g6rKvf/jFR19Xjt2rlNVGb/da/HP2veuX6iqvP5P0j67qm5cVXmvulxrkWvJ++PfNePpRa1FxkD/+tb1tev3xy9q3s+fNeNif7qZLjyvj9zzrt27qnKeU9qLqypOXcvYz3v6FI/PGXy25L0n97Brf9jcw2v1/vzdzbEfNOGklvgsyGnsYnxMuLzRTYYBZcbtb7db5nPrf7Sfj59ZVVkjN+P4HVX1pqrKayyfuateY/0Os9Zu1tztWsZ+fofo2tWa1+3XV1Velx9XVXlvz+s9nz35vPpfVfWEieMjn0/5nOpaXuN5zaXl/L+qOecvbX/XyedRXvt5bWYc5bwe11zzq08Kaj8CBAgQIECAAIHlBQSUy5vrkQABAgQIECAwRWDbAeVXtJVWeYA4pT2/nbbyjyZsnHCy/3D7R5qw6QfbcO9Hm+Dhe6vqvBuOk4eZXzlYU3HVLnkgmofseTA/tSVs+fEmeMl0nAnCprQEhvepqvQ3pf1rE14+uLV454YdhqFCAoaEennomnA4oVG/nbWAchhEPK8JcbNmZtqXN9eZECnB3rqWwCNjJ/d6akvQmfGX8GvTmMsxE8Zn6uRUmk1pH9YG091Uut1927TvLl9/Jw0os4ZmrBIuTLFK6JfK0Qe0YeKma879S6jQtfTxwWbNzltV1a+0oeSqY+Q1+hNtUN9tk/Hy8DZ4Xtd3Aou8dud8yeKaVXX/qvqCTRfV/jxffkio99gJ2+/6/fEkAeXrqupne+c+DJ1WXVaC5LyXDsdLXtt5jW9qQ4usl/mNvZ3mBpRLfRbscnxsMlv182FAmS/SPLsJAz+5HZdT1sXNlzTutOH1nKDzN3sn8ZI2qE04mM/Tb+tV7K4614y39JPzW9fyZYhMod21fKklX25JaP1rI5+Lw2Pl/SWfLfmSVD6PNQIECBAgQIAAgQMXEFAe+A1yegQIECBAgMDRCmwroMyD5IRm33wCyVRW3r6q8hBzXbtLG1p02yTAuFu739fO6PffmgqQa7cViat2S5VGKrlSKXmS9lttVUkeZK5q+R05YUWu4STtVW0VVipSV7VUsKaKpWv5/6nQTFVlqiuH7awFlKnaeWnvIvL/85D/m5pqnl+c8EC7f/3f3o7hTfciVWG/O+Eh9vA4qapMJV/CkU0tlUNdlVK2zRjJeF/Vlnj9nSSgvEb74D9V1HNbnOIVt3UtgeZFexvk/ydEeeLEQDS7fmdV/Uz7ev/9ppL4MyaebKqlE9S8ccL2qRB7WPMFjrznzm0JQ+7cBq+r9t31++NJAsqsaZxK5a7FK1WQH9gAkKrLVMQNW76QkrB7U0slbr6I0bXbNBXUv9H785yAconPgpzarsfHJrNVPx8GlNdrg8bfa+/l1OPmMzEh5KqWkDCfuV3LGqepWH18+1k6tZ/MCHHL5nPgaWt2SPiZGRG6li+z5DWca+pXYG/qM0FozntKZfumY/k5AQIECBAgQIDADgUElDvEdWgCBAgQIECAwCkFuqk5Mx1iKgv6LVPNZaq2ruXh39j0i5maLQ9Y+y1TFeaBfKZzzZSdqXK6QjvFY7a9cG/jVDKlsjEPI1e1hAj9afgSiOahYiqg0lKdlineMg1tQo1U4SQ8+JrBdG7Z9mWDB5T9PvMAPdM4di75Wa471R15IJnp4RKK5HoypV0CsZx7pmrstx9u/vBDa64nVSHfM/h5jvuYdhq5uGc6ykwbmsqOXEce2PZbKkYyFeuqaWvzEDYPY7uW607Q0Q/JEhbknqZqL9eXqrBLttPaZb9Mf9evbEnFWn96vGyTY6SiLG3JKV5z7Zner2uZdi9VjamyShCUCtOc+wvaqTNzzzIVa64x1Zf9FuuMz+46xm5dXiPpL1WB/ZbpAVMlmSkAM1YyneSN2ukI+9vlfLLG63AK3GFfP1VVmXaya9kn43pVW+L1NzegTIVSqgv74WHOP055nec1lvF+ifa1mPHdDw2ybaY1zpcJ8qWCVS2v9bxmu5aKroSMqYRMeP/o9p7l/l6+DUmyrmq//XP7swRqOY+0vG8lVMl7TMZNXnvfMPI6z+t10xcksl+qOfst1/TINsBNpWTGTd5PEgDdoZl+9mMH2/9cW0W2ymHX748xyL1Ky7TGCU27lnGf98F+S2VZ7u9wOs18pvTfk8aupz/+897WfVbk/Snh87qWiruMiS5oyntTKp4z7WjXpgaUS30WLDE+NrCt/PEwoMwUzRnLeY/L53ZezwmE83kV+7w35osFCbSHz4EybsaC53Q+/FJGPs9TSZ3P+bT8DpGpVfMZls+rfHmo+3zPe3q/5bX+iWu+OJD367yvdC2fiamGzPt/rimVvrmmv2qncs/rMueXz43hFww2vS5P6m4/AgQIECBAgACBLQoIKLeI6VAECBAgQIAAgR0JzFn7r38KCecyLVq/JSjMQ/ZVa7TlIWYe/vfXGMuD0KwTl/8da98xmIYzD6sTnmUazEz9msqasfXJ8iAzlYHDaRUThuRh57ClWq0LPfOzTAubteJS0bGq5eF99klI0LU8oM8Dz7FANwFJzr//e3KqG2O5qiIyVXLf305r2z+PPMBN9d9YSyVYf/2vXEOu+eva4CABaSpNunVI81B/OGVdzjVrX3Ytxt3Uo2N9LhlQJozqB3cJenL+eXCd68oYzP0ba3n4fdfBD/LnBMerWsZ11iPtWoKtr25DprF9so7Zr7fhb/fzBF+bpvhM0JprSMv55wH5qimDl3r9zQko83pICNWf/jHhbCqV+muGDs1SgZ0pQfshwKagP1OB9qfxTbiQ6rncq1Rmj60J+31NdWWmhe63hLyZhjbBYQLH7D9seX2kyqq/fmECtHyJYNVUj5nuOqF2vzIrr8OMjaxTOtby+srrOuO33/I+1H8t9n+21Ptj+hyOuYRJwy8tdOf2S21Fc/fnTa+xbNdfAzdhWO5jWoKnhIbrAut8JuQLCV1LSJ5K8n6bGlAu8Vmw1PhYMdQ2/vUwoMz4y/tX3mtTmdqvYO8fLFWMeQ31p+kdrhHc3364nnB+d8jnUkLxTLmcKV7HvohzwfaLS8PZG/K+m7Ukx1rGRP8LKhm/+azOtWZq6FXTCCeET5VnXu9dSwCeL8pkHWqNAAECBAgQIEDgQAUElAd6Y5wWAQIECBAgQKAncJKAMg8HU2HUf2CXiopMH7puetN0mwfNCZdS1dS1hBN50D7W8oCyv55Zt82mACPbpcLizwfBxz3aKVaHfSU47AdIqa5IZdWUliA0wUPXEng8YmT5f0P7AAAgAElEQVTHhIb9aST/d1uBlMBrU8vUpakS7FoekObh6liwOQzw3toGJXkQm4etY+HpsP9DDihT1ZapboctU7CmiqcLXsdME4IlKPr43g8zreqNV9yArH+XcLHfUiWUwGpdyxjIA/Z+S2Cyau3CVM6lIq1rqQBMoDzWlnz9zQkoU/2ZKrj+GM046k83vMosoXk/JE4YlfGdsTvWhgFKtkk/eQ1n+uixltDktU0FY6brHbaEYcP71d8mlVepwOq3XFuqNsfa8D0hr9NUxK76Ikb/GMN9M9ZXrfm31Ptjzm9OQJlAvx/2poIulXSrWqq3U8XcPUNIkBTbbp3RTFG9bhzdq13Ttzv+2LSwUwPKJT4Llhofa8jX/mjs9ZXZETJ987rpxXPQfG5m7d2uJcTPzAZjvxusmkI4X2jIe/K6NZ3P037xob9edD4X80WonOuwZfwMQ+ucU97jN71HZcrf4Wt93ZeETupuPwIECBAgQIAAgS0KCCi3iOlQBAgQIECAAIEdCZwkoExwkmkKu5bquiu107FNOc1UODy2t2Gm5ku12Fgl5NgD+DywT9C3aU2zdDF82LyqwiLTpvanjMuUi/2KnHXXlYrQVF+luiT/pVox1Rn9Npx2NT8brpG2ro+EwTl2pmTt2r3bKtLhfqsCvFSrPGvKDWpCubMWUGbsJHTsT0286lJ/oAlCEnB3LSFYxt9Yy1SeqZbsWippslbeppZ/CyUMS6VU17LeYb/atn+M4XSPt12zPuuSr7+pAeXc6x36Zf9M/3rV3g8y/WIqXsfaWICS8CTTw65rmS56eA/WTf3cP1amm+xPAZ33pkz1OGwJVjNNZAKUrmUdvlSPT2mZRjP79ytKV02RutT7Y857TkCZL6LkHnWVdKl4zZSrqwKnVLB160WmYu7i7ZTUWW82LdWv91mDl/e1flCVatc/Gmw/NaDc9WfBkuNjynib+vqa+nkV++Gau5l6tb8uadfnWECZ0DDb5ws8m9pYXwlH+1MRd8cYCyizBnbea6e0fAkrU3h3Le8H+WLJuhB1ynFtQ4AAAQIECBAgsCMBAeWOYB2WAAECBAgQILBFgZMElKkey7SDXcs0iQlYprY8eE8olKqZruUB9RNHDjD2AP6b2nUup/Q3XPNx1VSbqbTshyMJpYZT2E7pb9U2w/UF88A+oeOUkLU75pMGVUipyOwe4Pf7HQsos85opqSb2s5aQDllTcDu2hMw9tdEywPxjMnhg+aEwQnPU7HYtYTrCbmntATIqehMxWrCmoRnY9XAOVaO+RW9gyYwXVU9uOTrb2pAmQq34RSJ+dJCQvWp7buaYOqBvY3XVQ4OA8pVr4Vh36lCTjVyv2Wq5G7Nu3XnOvyyQ6aXTqXesGVK5vysawkbE1TPCTKGr/VVVeZLvT/mWuYElNl+GAimCnSs8jnbJuj91hYs04nm86VfiZfq6KyDONayBmLWmuzWrMzrLe+tw4q9qQHlrj8LlhwfU197w+2Gr6+sKZoxvGmGhBwn92E49XGqFMemUB0LKDNdc9Z+nNryHpPQt2sJuhOmDttYQJmpgYeV0av6HVszNJ+1pnmdeqdsR4AAAQIECBBYWEBAuTC47ggQIECAAAECJxCYG1CmIiZTkvbXVssac2Nrt607nce1a9N126RSKhVTwzb2AP5yE6aZ646Ttc/6VVirgoysXZgwqWtZDzDTuiWg2kZLNWYehnYt4We/Mm9KH3mA36/YyjSYWWtzuDbbWECZoCkPxqe2sxZQpoI1IeWUNlbNmikIh2unZprJ4ZSsCT4yFeU2WyrtsuZkKszS1oXJS7/+pgaU39usUXq/Hkqm0e3W05xqlbVo+2u+JtDLfRlbT3IYoOQLAHeZ0NEwnM4uCe5jvqkNq2lX9TmstErQlimj57RUgfWnmM7anv21e7tjLfX+mP7mBpQJafvvOasqTnPsVM+mai6tC37z/ti9plNVmarMsembM21nf4rOVVXyUwPKXX8WLDk+5oy5/rbD19fcMZz30ov2Dpgp0J8ycjJjAWW+qPDTM048X5C63YT3nmFAmS8JXXpi6JrDj62zfJLffWZcmk0JECBAgAABAgROIyCgPI2efQkQIECAAAECywjMDSiH6xvmLDO1ZqbFm9PuOZiedFWFzPABfMKh/tqXm/ochnqpdkiAN2zDh+/5eaZp/aE2fB1WhGzqt//zhErv7FX45Ge5/n6gM+V4WV8vVVz9lqluXzH4u7GAMuu/9asGN/V31gLKhGH9cGvd9V1tpOolD6qH6wOmsi7TsnYtYfUlNsGd4OdZF7Q/HWWqfhOsj7WlX39TA8pUP9+yd8JzKlq73fLvxwRRF+odZ9VUy8MA5Q7Nura/MsH+C6sq7zX9lgrZYcg/dqiHNuuEfmPvB/myQN6fhi0VfP1xMqfiuzvWMBx/b/tlhOH6mku9P+a85gaUuXfP7+E8flAl3P1o+BnUrfGaL6L0p2xeVe2W6V9/tNdPKt0SWg3b1IByl58FOaclx8eEl8ToJsPXVyqPM/6ntqwBmffUrq2aHnYsoNy03ujwHFKpnvepriXETvX7cHaCYUCZSvT+tMCbri3vT+8ZVNRnuvD+2Nt0DD8nQIAAAQIECBBYUEBAuSC2rggQIECAAAECJxSYG1Am6Mr0g/120zZYmHMKCQryYLlrb2mmbc0D6WEbPoDP9HuptJravrmqHtLbeFVAmRDx6U3FXNZpHLaEA5kaNlPPZfrBV86crvGyI9N1Tl3Pq38ulx9Z2zIVYVkXsd/GAso5AV6OddYCyozjVCFOaanUSsVWv40FlMNpeTNFa9Y53HYbPmDP9IYZa2Nt6dff1IAyNlfvnXAqqvsVgFPNsiZc/31gVbg3DFCmrvE4HNcJRPvV4OvOM+va3am3wVhAmbUTM91ov+X+DitxN3lk+utuTcZu27Evgiz1/phzmBtQZtrkhHGpgk1btdZrv1Iy4VIqJXNf0jK1aCrX0u7VhEM/PgKXwDmfJ137mBXrIU8NKHf5WbD0+Ng0zlb9fPj6unVV/eaMg+Ve53Ova3MCylX3b1X3X9NMP/vowQ/z+kmFZL8NA8pfGryep1xe1sXsryu8aurlKceyDQECBAgQIECAwI4FBJQ7BnZ4AgQIECBAgMAWBOYGlJlKbaw65bSnkgrF/pRw3fGGD+Bf1gRymaJzapsaUOZ46T+VX5mObl3LQ/dUXyTQTFXipmlgP6Gq/mJwwK5KaOp1ZLs8uB/2lYezjx0cZCygXLem4dg5nLWAMlPdjk0FOnZtUwPKVOT111bNGmpZS23bLcdN1VBawvCPbP93rJ+lX39TA8p+kLRNn7s1r8sHjBxwGKDcuKp+e0LHw3Gd13I3te6m3acElFkLb866m5v67P88lbYvHeyw5Pvj3IAypzpcSzPvhQl5+u1hTaVkKmDTEuRmytauPaKqbtv+4ZnNupY3Gux7gTYQTsVc2rrpkacGlDnOrj4Llh4fc8ZXf9vh62vsizDrjn2agDLB9py1mfN5/eTBySTUzgwI/TYMKFP5mArIOS1TxGfWgq7NXX97Tl+2JUCAAAECBAgQOKWAgPKUgHYnQIAAAQIECCwgMDeg/I6Z60PNuYSxB5NLPoDvzjUPxFP1lIfpm1qmhsxD+KyblurMsTacwjPbZArHPDCf084/MhVlprDtV4jmeGMBZSp3Ms3s1Cag/L8VQ6nM61oCsARh22wJVhOS5d6mPWtFFW/X59Kvv6kBZaqVEqxuu60KEQ41oBybgndbJqkSHE7xvOT740kCyuEU25ki95cHIH9VVVdq/y4VkqmU7FqCywSYafkCQsZYf5rbBPsJ+Lv2E800nFkPdazNCSi7/bf9WbD0+Djp2NtXQPm+wRTPU85/bJrYfAYOP4+HAeVJplkfHiNVzqkO1QgQIECAAAECBA5QQEB5gDfFKREgQIAAAQIEBgJzA8rhA+dtgo6FaEs+gB9eSyp58vAxU9j2p3Ubu+ZUfGRNyVRkfHCwQSo+XzL4u1Xrqa3zTLVQHuD2WypEf3Hwd2MB5ZwKwxxOQPn/B5SbwsOTvBaGU7auqhjsjr30629qQDlcc+4kFmP7PLAJ1r9n5AeHGlCOrW+6LYuxdWSXfH88SUB5lcH6xI9spm1NFXDXhhWFqZBMpWTXMq3ta3t/vnbzJYEX9/78/e2XQ7q/ukE7DfeY+UkCyu442/osWHp8nHTs7SugzBqPF5550jccmRI708BnOvh+G4aLCbITaM9pL2j6ymd31x7XTn085xi2JUCAAAECBAgQWEhAQLkQtG4IECBAgAABAqcQmBtQDtd7ShiXyscPneIc1u265AP4deeRCp9UauS/L6iqrFk41sbWpRs+ZM9+eaiatdPmtFQPDdfV+qqq+vXBQQSU61VPOsVrHk5fb84Nm7BtxktCx659ejtN5apdl379TQ0oh2uz/eAgOJpAMWuTQw0oP7aq3jy4kkwL3K/ym3WhGzZe8v3xJAFlTv8vq+rK7XVk2s1uTcn8VaZQzlTKaamMzHvccKrmv62qfE6lDUOlVJTm/Tgt04RfYqTKvCM8TUDZvw2n+SxYenycdKztK6DM+Z5n5u8TY1O8Zh3brGvdb8OA8oebH/7QTKDhFK+p7s06uRoBAgQIECBAgMABCggoD/CmOCUCBAgQIECAwEBgbkCZasKnDo7x4VX1rh3JLvkAfuol5AHqtZogItMVZgrABLT9NqziuUxVvW2wzVdU1eOndthulwfjmQ6x327SnMszBn93FgPKVKgO16bL9Y6t53fa65saUKZ677t6tllHNPtus72uqlJllpYxkrVC14X9S7/+pgaUqRDurw37U817wl22CTU41qEGlBcZCdgSoDxlRxZLvj+eNKAcrt2Zqsk3th6Paiosv7b9/6mMTIXksOV9sptGM+91ec9LG64/GeN16wdvK6Dsn9/cz4Klx8dJh90+A8q505EPv7SRa856zf88uPhhQLmqOnud2fCLGA9q+vnukyLbjwABAgQIECBAYLcCAsrd+jo6AQIECBAgQGAbAnMDyqzLmKCm37Ku1qu2cTIjx1jyAfxJLiGhTNYmvGRv5yc2Hrfq/Tm/F7+jqhLkdi1TEyb8mdO+eDD9YfbNlIF/NjjIaQO8HG4bU7xevqreNPECE/gO1+Tcd0A5XO/x/VX1YVWV6Xy30VJVluqyrj26+fPXbTjw0q+/qQHlY5v3hVTzdm34GtiGV/8YhxpQ5hz/pg2au/PNOPrZbQO0x1vy/fGkAWXWcc16rl3LGM9YT0u1aaoK0+5fVfcYcepfY74IkyrLvAY/r6me/P3e9tkuFcmr2i4Cyn5fUz4Llh4fJx12+wwoP6OqXjHjxLNm6X1622et5YScwzYMKJ/c9HOLGf3kczxT0F6wt0++hJEvY2gECBAgQIAAAQIHKCCgPMCb4pQIECBAgAABAgOBuQFlfsfLNKOpUOhapun71R3JLvkA/qSXcPuq+uXezlmP77KDgz2nDf26v84D+1vP7DAPQx/Q2ycP63Mfhmte7iOgTOVfgpl+u+pg/bh1l5u1NB8y2GDfAWXWGsu0rv129ap65cT7lgfZCVO6lsrIfiXtt1TVz/d+nmrcVJSta0u//qYGlKki6j+oH07lOZFs8maHHFAm+OhX8j2iqQT++slXNm/DJd8fTxpQJiz6x6o6b3tpD23eK+5YVcOw/cbtlz2GAvkCTP81d82qemlTaZxphPtTdKYKux/4D4+z64Ay/U35LFhyfMwbTf+59T4DylTUPmbGiWeK4PwO0rVVlbjDgDLV65l+fWrLF27yvtZvq8bs1GPajgABAgQIECBAYIcCAsod4jo0AQIECBAgQGBLAnMDynSbafZu1Ot/09R6pznVJR/A5zwzBV/WMpvThg8uExh2D+O749y3qu7ZO2iqPC5VVanKm9p+r1nLLtPHdi1/zpqYw7aPgPKiI9P8pgqzX+G07jqHD+2z7b4DylRLvn1QMXPvZmrJ3MspbRhAZnrAhDJd+61BBU9C3rdOOPCSr7+pAeVYBexnNkFd1mzbRTvkgDLrJN6vd9EJ5z5mzdqIp/FZ8v3xpAFlru+FTfX357QXmorvVH73v5Swav3J7JLnCjHswv6uaq3/pY8Ekwko17W5AeWuPguWHB8nHVv7DCjzJY18WWNq60+TnX1WrQs5DCizbabXHk6bvqrfBKfDL5CMrXU59bxtR4AAAQIECBAgsGMBAeWOgR2eAAECBAgQILAFgbGActNDu+GD6jxc/tSq+vMZ55Pql+tW1e+0//3Jin2XeAB/5zb4y9RyCRLyX6pEp7ZhJVAepid87LdPqqo/Hfzd7arqkRM7yT2Jb3+9y1TrPHxk/30ElPndPxWdeajftalTW8YvNsNQd98BZa7j1xr3jPeupYIm5/tvE+7b06sqFTZd61fS5T5mnHTT/mb8f/qEY2aTJV9/UwPKnFeCp/4anVOmrO1f8iWaKuPntlWreV949sg6ct32hxxQZsrSjJP+eM56tf0q6023OtM5JwiPwzPbgG/sywxLvD925zocd5m+OV/OmNJS6Zj3/LRUEids/KXmdf/l7d+tqnrrjv2/qurm7R8S7GcN36wxmC8RpGVq11isa1MCyiU+C5YcH1Puzdg2+wwoc1/z3p8vh2xq+b1j+LtDphTOGBm2sYDyR3rjclNfmfUgx+7anPfsTcf2cwIECBAgQIAAgR0ICCh3gOqQBAgQIECAAIEtC2TtxDyM7LdrN8FKHhivahdoprJ742Aa00yF+YVNleD7Jpxf1urKw8L+Wk6r1rFc4gH8cIq4X2im4kz129R2t6r6id7Gz6uqzx/ZOX//ub2/T4hxjQlhaH6vzgPXL+vtmzUtE6RmTaxh20dAmXPIGMi0qF17WVVlOsYEEqtaxkCCqP5+3baHEFCmYjWVqv32o820uj+wYXDk/qfCq/9vorw+cq1p12teL8/vHSNT92YcTWlLvv7mBJTDNTtzLZnqNBXWm9p5qupxg2mP102DfMgBZa41a3DesnfRCaNTUTqcInLMJUFtwrT+9JPf3nzp4cEjGy/x/th1m3V1f6N3Du9uppxO5fS613e3+XC65FR+Z93Sy7QbrFp/stv/rs2XH36y/cPfV9VNq+qPeucyZZxNCSiX+ixYanyEKF+G6H9xIH/3t+0XJFa9LvcZUOacsmZr3k82tYzH/nrPmf3g0is+F8cCynypJiHnptdlfj95eVXlfaprCdwTcGoECBAgQIAAAQIHKiCgPNAb47QIECBAgAABAj2BPLx876DaJ5U7mcpyXUvlSwKFfntWVaUqMA8/V7U8tE8lUX9tvjxkvM2KHZZ4AD82PeVPN1Vy96qqPIRf127WOly4t1GqcPprC3Y/ShiZ4LdfBZmpD3Ptw/Ubu31y3AdV1TcNTuJObQXS2LntK6DMw9rvH5xQgrwEemMtAWsqSBPcvaRZx/SK7cPlbttDCChzLmPTz+Y6f7y53g+MXNiXtJWX/TGe+5yK4a7F5Pt6f84+qZab2pZ6/c0JKBOcJjTqV4LmvSXVg+vWlMuXJH5xEDSkKjvh9itWgBx6QJmK55x7AryuvaF9rWf9xFUtr91U7eZ/u5Yvg6QCe+y9aIn3x+48vqAXsHd/l0rPvO9vaqkmzT3r1i7OZ8AdejttWstv+B6dism8z6almjlj6F82nMSUgHKpz4KlxkdIMg1pql37LV+G6K9nPKTbV0CZe5ixksrYvD/mPXa4xnLONc+a8h78w4MTz9TK/anU+z8eBpQJuhNm/kX7RYrXrhg/+Rz63eaz6sq9n2eK9kwpnGNoBAgQIECAAAECByogoDzQG+O0CBAgQIAAAQIDgVc2FT+pEOhaKmISKOSBbh4W5kFcArfhFK6ZXvTrB8fKA8Zfbx9aJ3RLRWWmO83xU+mQ0KHf3tJWEf7diruy1AP4X23D1f5pZJrXhFMJXRIS5NrOX1WpcEpFSh6qd+uqdfvFMte4am3JPHQdBnaphsz0n5nKMR75PTpT76YKL+te/feBzZMG1VlDun0FlHmQm4e8/QA255Z1KDNF4+ubh84JnlI1lUrSW7dTwibEimOu6wq9i1k11fBpry/3LtOR9lseVA8ribufZ23IhE1dtVf397meVPllbclcQ6a7zJgYVoPmYfZntw/Cu30TVOfv0rJvwsz875y2xOtvTkCZc8+9edEgmMvfJ4B+fPMe8Kq2cutC7TSOn9dO13mxwYVvWuvz0APKXE7eG4dTMCdsSUVp/svad6ngyrVnTGZd33zhoV+llfeRhICZ+nasLfX+mL4TAiaQ6f87PxVrqTjPayDTFWf64+GXKbrz7lcNpvK7m5513fqT3b55T8n7ZDeFdMLa7kshqVTur8276jU0JaDMvkt9FiwxPnI9ZymgzOv6Ib0vumQa1az7mPePjL0E/ql4zPTmw/fZrN971arK++1YGwaUmXY4VZr5PM/vKfmdJ9Nyp5oy4zNfoMlr8o4j72dZR7Q/a8Kc923bEiBAgAABAgQILCQgoFwIWjcECBAgQIAAgVMK3L15WJwp9ta1BEp5wNdvCS8zFduc6VD7++dBYB6+r6pcyLZLPYBPYJLQIFMPnrQl9MoDzYSZ61qqCoeVH1P7zEPUPJxdtwbiaQO8nMv12ylKu/PKA9wYbWpzry2BzW3bh8MJwPOAuWv5/2Nj47TXNzegzPnkXFIpNgyLN3kkVElomXCka3kgnoftXRCV4+Z1MLct8fqbG1DmGlIp/LQ2ZJ97Tdl+XRVUd7yzEFDmXDO2H9Z+sWGuRUK4r2mD+1X7LvX+2PU/XFd1eF6pKB5+QaHb5pvb8Gm4z6b1J7vt8zoZe3+eGhZNDSiX/CzY9fiI3VkKKLP+ZL7Q9NttZf3U10yC/nxm/fGaHYYB5Xe3X1TJl2dS/T21JTDNTBFTpjaeekzbESBAgAABAgQI7EBAQLkDVIckQIAAAQIECOxAIOsAZn3ErqJrrIuxgLLbLlOUpiqwHy6tO81UimWKv0yhuqraodt/yQfwCXyy1lmmv0u10NSW60lQmzBn0/V0x0xolVA41SBTWqaHzBSqw4qssX1PG+DlmCcNKPNvgISUqRRdFVR055yQLtM8dmsUZo2vq/cuKDavHrnA017fSQLKnMZlm6DpPm1lXMbKppaH7Km+GU6vOJyeddN0i5v62eXr7yQBZc43VaepUEqYvmkcdNeX6sp8WSJum9pZCShzHVl7MqHrnC8/PKOpGPyuDV/eyLGXfH9Mf1kXM9MVJ0Qaa+sCylRYp2p02DatP9ltnyk9x9b8y3tGKtc3takBZY6z5GfBLsdHruUsBZQJGlOJm5D4gc108ZnKfNNzpXxu5H1m1XTQ3bgYBpR3afr6qWba4lRxZwaDTDG+ruVLQXkd53edVP1qBAgQIECAAAECBy6w6RfJAz99p0eAAAECBAgQOCqBTJ2XcC5hR6bWTEv1V6oBX9YGM5l+dFXLA908gE8l2PXa6qlMm5lwIlOjZt/XtGuYZSrPVVO6Do+/9AP49B+LrAmY60kYlrWnLt5OKZhKwjxETeiUQCVTL+Z6Uvkxt6WCLlMTpuoyAXBCne7B/z82lalva8OAVA4ltFk1beyw39MGeDneSQPK7lzysDdTPebhb0KNbj3GhJKZti8Vdnko3F837vnt2OmOkSn8Ml3otq/vpAFldx6Z8vjL2rGe10rGeaarfHsbwORBeCpdVz0wTzifB+pdy5qNMTlN29Xr76QBZXctmfY205besJ3GNOM7YyGvo3hlatBM35jxkC9JTK1KOksBZWeRICpfTMhajpnKOOMm7zWplMz7YSqIX9Cs4flbI9Nprxob+3h/zLlnCt68R+Y9q7uXqXbOvVy1BmCuIfc7r59+27T+ZLdtprweTnWb9Y4zFeeUNieg7I631GdB+tvF+Mhxz1JAmc+D/nTPea9OtWI+j/I5ks/hvF4ynWt+L8n61ZmGfWwt4OGYGAaU+X3nf7YbpYIyXxzJ+/pntGMqv7vk8yozPaRy+LErAvYpY882BAgQIECAAAECexAQUO4BXZcECBAgQIAAAQIECBAgQIAAgQMXyJeA8gWcrmVN06wzuYs2DChPW7m+i3N0TAIECBAgQIAAgS0KCCi3iOlQBAgQIECAAAECBAgQIECAAIFzREBAeY7cSJdBgAABAgQIEDhEAQHlId4V50SAAAECBAgQIECAAAECBAgQ2K+AgHK//nonQIAAAQIECJzTAgLKc/r2ujgCBAgQIECAAAECBAgQIECAwIkEBJQnYrMTAQIECBAgQIDAFAEB5RQl2xAgQIAAAQIECBAgQIAAAQIEjktAQHlc99vVEiBAgAABAgQWFRBQLsqtMwIECBAgQIAAAQIECBAgQIDAmRAQUJ6J2+QkCRAgQIAAAQJnU0BAeTbvm7MmQIAAAQIECBAgQIAAAQIECOxSQEC5S13HJkCAAAECBAgcuYCA8sgHgMsnQIAAAQIECBAgQIAAAQIECIwICCgNCwIECBAgQIAAgZ0JCCh3RuvABAgQIECAAAECBAgQIECAAIEzKyCgPLO3zokTIECAAAECBA5fQEB5+PfIGRIgQIAAAQIECBAgQIAAAQIElhYQUC4trj8CBAgQIECAwBEJCCiP6Ga7VAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL7FhBQ7vsO6J8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAEQkIKI/oZrtUAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvsWEFDu+w7onwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMARCQgoj+hmu1QCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC+xYQUO77DuifAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwBEJCCiP6Ga7VAIECBAgQIAAAQIECBAgQJyHjREAACAASURBVIAAAQIECBAgQIAAAQL7FhBQ7vsO6J8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAEQkIKI/oZrtUAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvsWEFDu+w7onwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMARCQgoj+hmu1QCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC+xYQUO77DuifAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwBEJCCiP6Ga7VAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL7FhBQ7vsO6J8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAEQkIKI/oZrtUAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvsWEFDu+w7onwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMARCQgoj+hmu1QCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC+xYQUO77DuifAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwBEJCCiP6Ga7VAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL7FhBQ7vsO6J8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAEQkIKI/oZrtUAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvsWEFDu+w7onwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMARCQgoj+hmu1QCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC+xYQUO77DuifAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwBEJCCiP6Ga7VAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL7FhBQ7vsO6J8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAEQkIKI/oZrtUAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvsWEFDu+w7onwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMARCQgoj+hmu1QCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC+xYQUO77DuifAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwBEJCCiP6Ga7VAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL7FhBQ7vsO6J8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAEQkIKI/oZrtUAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvsWEFDu+w7onwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMARCQgoj+hmu1QCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC+xYQUO77DuifAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwBEJCCiP6Ga7VAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL7FhBQ7vsO6J8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAEQkIKI/oZrtUAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvsWEFDu+w7onwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMARCQgoj+hmu1QCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC+xYQUO77DuifAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwBEJCCiP6Ga7VAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL7FhBQ7vsO6J8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAEQkIKI/oZrtUAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvsWEFDu+w7onwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMARCQgoj+hmu1QCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC+xYQUO77DuifAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwBEJCCiP6Ga7VAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL7FhBQ7vsO6J8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAEQkIKI/oZrtUAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvsWEFDu+w7onwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMARCQgoj+hmu1QCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC+xYQUO77DuifAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwBEJCCiP6Ga7VAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL7FhBQ7vsO6J8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAEQkIKI/oZrtUAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvsWEFDu+w7onwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMARCQgoj+hmu1QCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC+xYQUO77DuifAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwBEJCCiP6Ga7VAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL7FhBQ7vsO6J8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAEQkIKI/oZrtUAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvsWEFDu+w7onwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMARCQgoj+hmu1QCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC+xYQUO77DuifAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwBEJCCiP6Ga7VAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL7FhBQ7vsO6J8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAEQkIKI/oZrtUAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvsWEFDu+w7onwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMARCQgoj+hmu1QCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC+xYQUO77DuifAAECBAgQIECAAAECuxH4g6q6bu/Qd6uqB+ymK0clQIAAAQIECBAgQIAAAQLTBQSU061sSYAAAQIECBAgQIAAgbMkIKA8S3fLuRIgQIAAAQIECBAgQOCIBASUR3SzXSoBAgQIECBAgAABAkclIKA83Nv9G1V1q4VO755Vdb+F+tINAQIECBAgQIAAAQIEJgkIKCcx2YgAAQIECBAgQIAAgYHA7arqSu3fPaiq3kHo4AQOOaA89vEjoDy4l4sTIkCAAAECBAgQIEBgSQEB5ZLa+iJAgAABAgQIECBw7gi8raou015Ogso3nDuXds5cySEHlMc+fgSU58zLzIUQIECAAAECBAgQIHASAQHlSdTsQ4AAAQIECBAgQOC4Ba5SVa/rEQgoD3M8HGpAafxU3b2qrjNx2HxMVV1zsO2zqurdE/d/ZFU9ceK2NiNAgAABAgQIECBAgMAiAgLKRZh1QoAAAQIECBAgQOCcEvi6qkro0TUB5WHe3kMNKI9x/HxYVb3nhMPk1lX1hMG+p3nNXaiq3nvCc7EbAQIECBAgQIAAAQIEtiIgoNwKo4MQIECAAAECBAgQOCqBn6+qb+ld8WnCkqOCW/hiDzWgPKbx8/FVdeequkVVXfGE93/bAeWrq+p5VfXgqvrTE56T3QgQIECAAAECBAgQIHAqAQHlqfjsTIAAAQIECBAgQOAoBV5eVVcXUB78vT/UgPJcHz/nqaobV9W3VdWXVFX+3f3PVfURJxwx2w4os17sFdpzeU4bVD65qj5wwvOzGwECBAgQIECAAAECBGYLCChnk9mBAAECBAgQIECAwNEJnK+q3j/jql85CDDHds0xv7gNcK5bVZdtgpJLVdW/NxVnf19Vb6mq51bVM5rtXjij7/tW1T1722etv5/s/TmB0W2r6tpVlbX9Eib9U1Wlquy3qupXVkx/mXDp9lV1s6r6lKr6yKr616p6a1W9oKmO+9Wqev6E83x4VX19b7t7VdWP9/58w6r6yqr67OZcLl9VF66qd7T9JHDMWoJZf3BKO01A+clt1d+1quqTquqSVXWxqvq39nz+uqpeUlVPqarfq6oPrTmhszR+priu2qYbI6mYvPJgo0MNKLvTfGNV/UJVPbQJVv/hNAj2JUCAAAECBAgQIECAwBQBAeUUJdsQIECAAAECBAgQOG6BbQdMX1FVP1ZVHzeRNcHfXavqjyZsn3AyIWXXfqQJz36wqi5eVY9tjnGTDcf4qzaE/LPedrdqg5uEkuvaI6rqG9uQddV2P1NV3977YcLThKgfVVWPaabevMGEa0wgeMcmaM25rmsnCSiv1lg9sA2PJ5zKf2wSqzs0YfOLVuxwlsbP1Gvub/dpbbXk17SB8vAYCfcz9vrB9Jx+tl1B+bPNFwC+qQnGLzhyEu9rAunHNYF0tnnpnJO0LQECBAgQIECAAAECBOYICCjnaNmWAAECBAgQIECAwHEKbCtgOm87neQ3n4AxlZWpYHzUhn3vUlUP6G2T/3/vqnp2U3mYSs0pLVNgfnpVvbOqvq6qEjxO/bdTAsjvXNNJAsmErV3Leozf34Z7nzDl5NptUmH6uVX1+jX7zA0ob1RVT2j8LjrjPLpNMz3oV1fV40f2PUvjZ+ql55pu2QaTn7dip1QC/1JV5R7/zdQDj2y37YAyXVymqu7UVObmtZhK4rH24vb1mnuaylmNAAECBAgQIECAAAECWxOY+o/srXXoQAQIECBAgAABAgQInEmBVPilXbqq/mRwBZmO9E29v0vF2D+OXGWmQb3d4O//rqoe1k7n+rdN9eMF2vXxMtVpts0Up13LNKKZ/nQsBOu2STj4oN4+D26nYv3e9u+eVlX5LwFfgrjPqqpvGFkfMFWXmfI1VZsXaq/n0e20pu9qKx4T6N1iEF5+sJ0S9bUr7nKmc71H72cJPy/STDGbECrtVVX1m1X1mibI/Jd22tvPqaqvaqeV7R829+Eaa9YOnBNQppr1ZVX14QPvZ1ZV/ntdez4f1t6frLGY6W4zRW7XUn33me25Dy//rIyfTS/OTEWc6tWEex+7YuM/bisQf62Zbjgmp227CCi7czp/O/a+o532eOxc8xpN0JopYPO60QgQIECAAAECBAgQIHBqAQHlqQkdgAABAgQIECBAgMBRCSRoSpDYb1dqpq9M1eG6lmAxgU2/pVovU4Mm8BtrqexKSJgAtGtZHy9rIq5aJy9By0/3ts86lqmcfG8TrP6PqvrdkY4SNGWdy6z52LVMn/rmpvIy1XFZ8zEB4VjoOhYeddPKjl3TcI3MrOV4hTZkTLiaarux9RzjnuDyOoODpgLuF1f4zQkoMwVprrFrCdZuvmG9yy9oAt6nDkLkJ7WVhavGwqGPn1XnnTVLv60JX2/ThujD7VLhm/VBU0GbNUm32XYZUPbPM2F9Xj+ZgjlfFBi7xtzfTP/6vG1eoGMRIECAAAECBAgQIHB8AgLK47vnrpgAAQIECBAgQIDAaQROEjBlrbs3ttNKdn0/o63AS8XhuvYRTeD1ykF4mIAkQcpYS4iUnw9bKv5+e01HWR/w4SM///O2KvDda/bNcb+k9/OEognvxlrW3syUs8N2r2ZNwFRXrmuXaqsTMz1n117dBJefumKnqQHlxRrPf2rWBc20pV3LueScNrW7NQHlT/Q2SlB3iTWh86GPn/71ZtwmWM+YSng31jKN60PbYHlX1YVLBZTd9WV8JfjOfx+94rpT6Zvq5FQVr3ttbBo/fk6AAAECBAgQIECAwJEKCCiP9Ma7bAIECBAgQIAAAQInFDhJwJR1HB/Z6y/Veam6HFZirjqlVPalwq9rb2+Dk7HpM8cCyie3U7Guu+SPbCskh/9G+tImoHzKBqsEOQ/pbZPqzkyFO9bGAspUa35iE1xmatxNLVPV3m+wUSpKE6QO29SA8mrttLgJpvJfgtBrtsHwpvPJ9m8bbJSpbzMt7Fg79PGTc04l7bc0FbTf2FqMXce2p3Fd57x0QNmdy5TpX9/ReP1KG9D+5abB4ucECBAgQIAAAQIECBDoBASUxgIBAgQIECBAgAABAnMEThIw/V4zJeQNep1kLcqs+zi1pbLvrU1l5CV7O9yqnVJzeIyxgHJKyJjj/M2gYixr72Wa2Q9sONFMA/v7g23OW1Vj1aFjAeWU6snu8Fds1uZ8/aCvXPPPjZzj1IByuGv+nTg2zewqhqHb7VdUo2b/Qx4/H19V96+qjJfcv2FLdWimHM40rrFdqu0roOxfXypIMwXxl6+Y/jVjPZXEWV811ZUaAQIECBAgQIAAAQIE1goIKA0QAgQIECBAgAABAgTmCMwNmBL0/HNVXaTXSUKOrD85pz2uDUe6fX6ymVry7iMHGAaUCdoyTew7J3T2sqq6Rm+7hFFZt3JTS7D12sFGH75imtOxgPLqE6sVuy6y3mfWrexa1q2888hJnjSg3HS9w59nmtlP7v3lXarqp1Yc5JDHz6ppfpeYxnWd+SEElN35XbapfL7Tmulfv7utxp07hmxPgAABAgQIECBAgMCRCQgoj+yGu1wCBAgQIECAAAECpxSYGzB92kj4lkDvdTPP455N5dZ9e/v8blXdcOQYw4DyTYP1K9d1+/yqul5vg/Q3tl7k8Bgf20wH+ubBX2aK10z1OmzDgDLT1Ca83VSl2T/Os5oKvi/q/cWzq+oLR/paKqB8RVNZ+Om9/rMu5QNWQB/y+BkGlC9v1zPN9MJj0wnPHMIn3vyQAsruIjL9623atWCv1bsyAeWJb7MdCRAgQIAAAQIECByXgIDyuO63qyVAgAABAgQIECBwWoG5AdOXVdWTBp3etKl+fPfME0kA9329fd5SVZcbOcYwoPyTQXi2rtvnVtXn9zZIhWYqNTe1MZOpAWUqL6+6qYPBzx/aro/Y/XWm1EwQPGwnDSgvXlU3b6tJP6VZXzNVcxdrQseLVtV5RvpJhWp/StRtBpRLjp9+QJnA+BHtdK6vnHl/tr35IQaUucasffrtVXWH3rSvAspt333HI0CAAAECBAgQIHCOCggoz9Eb67IIECBAgAABAgQI7EhgbkB5u6rKmpPbbv/aBmbD4w4Dyhc3a+Nde2Lnw4Ay4cuDJ+x7moAyVZtZw3JOy/SpCYK6lilfrzRygLkB5WWq6n5V9VXN/15ozgkNtt1mQLnk+Fk1xevz2qAyQfucStdTEP6XXQ8poExAfZO2cnKsgllAua277jgECBAgQIAAAQIEznEBAeU5foNdHgECBAgQIECAAIEtC8wNKL+jqn56y+fQHe58I4HRWQson1lVN5rpM5wmNlPJpmJz2OYElJ9ZVb/TBHGXmHkuY5tvM6Bccvxcp6p+var++wqDNzbOP9dU7j6sCej+aQtOUw9xCAFl1lT9hrZi8iorTvytVZVAOeNII0CAAAECBAgQIECAwFoBAaUBQoAAAQIECBAgQIDAHIG5AeW3tqHOnD6mbpupSN852PisBZTPaCvSpl5ztrtPVd2rt8Pbqir3ZdimBpRZQzNT4Q7Dyf/dHPcXqupFVZUqzbe3azF+aNDRLtegXHr8ZKraWzTrh2YcXX/FTXlPVT26rap89Zwbd8Jt9xlQfkIbSqa6NFP8jrUXtq/xJzRrtr7/hNdoNwIECBAgQIAAAQIEjkxAQHlkN9zlEiBAgAABAgQIEDilwNyA8mvaMKfr9oNVlcrHYch1ytP6f7uftYDy99cEYatMhlO8vq6qPn5k46kBZabgTeVbv923uUc/2Kz7+e8TbswuA8qlx0//cj+5DSq/dk0495y2QvgpVZWxvYu2dECZ5wSp6k316pdU1dhzg4S0v9ZOgfzyXVy0YxIgQIAAAQIECBAgcG4LCCjP7fvr6ggQIECAAAECBAhsW2BuQHnTqnrq4CQyXeS7tn1i7fHOWkCZcOcaMy0eWlXf2NsnAeFnjBxjSkB54Xa60gv29k/w9NUzzunPmqlRP7G3/TaneF16/IxddsZrKghTzXnVFS6vb6sIf7mq3jHDbsqmSwWUqZDMdWbt1VROjrVc50OaaXBznUtOczvFyTYECBAgQIAAAQIECJwhAQHlGbpZTpUAAQIECBAgQIDAAQjMDSgTdPzF4Lw/rapetaNrOWsB5T9X1UfMtMgafzfs7ZPqvS8dOcaUgPKLqyrrYPZbAtOpVXHnaafZvUjvANsMKJceP+tuRf79HPeMsQSnufZh+9eqelQ7/WuC2220XQeUH9deU9aYTBg7bKl2flZbLfm0HVaKbsPKMQgQIECAAAECBAgQOCMCAsozcqOcJgECBAgQIECAAIEDEZgbUObfHKm06odwCUIyregu2lkLKGNwuap6ywyMv6qqK/W2v39V3WNk/ykB5e3barhu96wheKEZIdT1qur5g763GVAuPX6m3oYrthWVdxhZu7M7RkK9n6mqp8/wHOt/VwFlwtZM45qwdezZQMLzR7SVoa+dCmM7AgQIECBAgAABAgQITBEQUE5Rsg0BAgQIECBAgAABAp3A3IAy+z2jXdOuO8aqir9tKJ/FgDIh169MvPiEmW8abJs1Eh8zsv+UgPI7m/D4Qb19/6aqPnbiuWSzTAf7lYPttxlQLj1+Zlz6f2yaMDfT4d55zVS9f9kaP3juwdvttx1QJpS+a1V90orzeXVV/XxVPbKqUhGqESBAgAABAgQIECBAYOsCAsqtkzogAQIECBAgQIAAgXNaYCygvEpVpapvVUuAlSCra/9eVZ/aBFt/PkPqB5tpJq9bVZneNP/9yYp9z2JA+byq+vyJFlkfMFV5XftAVeWe/MPI/lMCyqw5+PDevgmkMs3nByecTyrvEjYP/11576q674r9D338TLjslZtcp50q9VbN9V9gsNVJpvLtDrHtgPINzT2/wuD88pp8clst+ZzTINiXAAECBAgQIECAAAECUwQElFOUbEOAAAECBAgQIECAQCdwyZEw7NpV9eI1RAlr3lhVl+1t84JmatAvrKr3TaD9rKpK2HbB3rar1rE8iwFlLiuh1hM3WGSdx9cMwqWESTdYsd+UgDL37kWD/RMEv3DDuXxie08yHt7ahqTdLg9s1qX8nhX7H/r4mTAcN26ScX6nqrpjrxr1UAPKv2vO8aHN/fuFqnrzxiuzAQECBAgQIECAAAECBLYkIKDcEqTDECBAgAABAgQIEDgSgfM16x2+t6rO27veVMulam5d+/JmSsnHDTbIGn23a8Kcv12z4y3bNRI/srfNbzRB3W1W7HPWAsq/b6rWLt1OpZlrynS4Y+2ibRXqzQY/vFFVPXPFPlMCyvM3aykmpOqvEZrAMqFn7vNYy718WFVdrD2nhG/f3NvwJc26i5+9Yt9DHz/bfBnnWjN+MyYTqPfH8Jx+tl1B+fqqeltVZcrZx1fVv805GdsSIECAAAECBAgQIEBgGwICym0oOgYBAgQIECBAgACB4xJ4ZRu4dFf9oXYNxD9sg8uPa9ewG07hmqlEM6Vov/1LVf16M31rwsqsf5iKyku1x09V4TUH27+lXesvodpYO2sBZcLWy1TV57UX8/Rm+tvfrKo/q6p3VFUqDlPRmADwioMLTph5kzVDb0pAmd0TMN9zcJxMofsTzfH/qA0qc47Xqqqsd/k57baZKjTVrV/VnOfPDvb/8ap6VFUlpMt27+r9/JDHz65eyVdtnP7ihAffdkB5mnM54SXYjQABAgQIECBAgAABAv9VQEBpRBAgQIAAAQIECBAgMFfg7lV1/w07fW47BWh/s1RdJsj6lrkdttv/dTP16BdX1WvX7H/WAsqs+5d1JTOl6uVmuLy6DTXfvmafqQHlhasqVY9Xm9F/ql4zRW+C1Cs3weXrRtai7A6XkPmlvWMf8viZQbDYptsOKBc7cR0RIECAAAECBAgQIEBglYCA0tggQIAAAQIECBAgQGCuQNaCfN6aaTxzvLGAsusnU5n+aDM9aCq5prRMNfrLzVSU92rWNnznhh3OWkD5lKr60qq6fFU9oqquPwHkCVV15+a/TA+7rk0NKHOMj2orN68zof/fqao7DNYsfMhgmtf+YYYB5SGPnwmXv/gmAsrFyXVIgAABAgQIECBAgMCuBQSUuxZ2fAIECBAgQIAAAQLnpsBFququ7VqQV2kvMVOSvrGqXlZV96mqTMe6qqWa8ovaisjrtQFZ1mLMlKCZ9jX7vqapEnx2VT2pXSdxiuRZCyif2njdvHdhWfvxK6vq2u2UrqluTJVkpr99bruOZ6otp7Q5AWWOl38fJiz9inY618tWVcLETM+aCsn0m+l4M5XvsOV+3qWqbltVmeL3/W2AmXP+gZEw9VDHzxTXpbcRUC4trj8CBAgQIECAAAECBHYuIKDcObEOCBAgQIAAAQIECBAg8P8EfqwJ7+7d83haM/3pzfgQIECAAAECBAgQIECAAIFjEhBQHtPddq0ECBAgQIAAAQIECOxbQEC57zugfwIECBAgQIAAAQIECBDYu4CAcu+3wAkQIECAAAECBAgQIHBEAgLKI7rZLpUAAQIECBAgQIAAAQIExgUElEYGAQIECBAgQIAAAQIElhMQUC5nrScCBAgQIECAAAECBAgQOFABAeWB3hinRYAAAQIECBAgQIDAOSkgoDwnb6uLIkCAAAECBAgQIECAAIE5AgLKOVq2JUCAAAECBAgQIECAwOkEBJSn87M3AQIECBAgQIAAAQIECJwDAgLKc+AmugQCBAgQIECAAAECBM6MgIDyzNwqJ0qAAAECBAgQIECAAAECuxIQUO5K1nEJECBAgAABeGZMxAAAIABJREFUAgQIECDw/wsIKI0KAgQIECBAgAABAgQIEDh6AQHl0Q8BAAQIECBAgAABAgQILCggoFwQW1cECBAgQIAAAQIECBAgcJgCAsrDvC/OigABAgQIECBAgACBc1NAQHlu3ldXRYAAAQIECBAgQIAAAQIzBASUM7BsSoAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDA6QQElKfzszcBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAjMEBJQzsGxKgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMDpBASUp/OzNwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECMwQElDOwbEqAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwOkEBJSn87M3AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIzBASUM7BsSoAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDA6QQElKfzszcBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAjMEBJQzsGxKgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMDpBASUp/OzNwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECMwQElDOwbEqAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwOkEBJSn8zure9+vqr63d/JPrqpb7OhiPjQ47udU1R/uqC+HJXBSgS+qqmf1dv7XqrroSQ9mv50I/ENVXbJ35JtX1VN30pODzhW4UlW9uKou3e6Ye/VZVfXXcw9kewIECBAgQIAAAQIECBCYJPAHzXOM6/a2vFvzHOMBk/a0EQECBAjMEbhgVf1+VV2r3ekDVfWlVfX0OQex7biAgPI4R4aA8jjvu6teLSCgPPzRIaA8zHt08ap6YVVdrT2991dVXk/PO8zTdVYECBAgQIAAAQIECBA4JwQElOfEbXQRBAicEYGPrqqXVtXHtOf7rvZLIq86I+d/sKcpoDzYW7PTExNQ7pTXwc+ggIDy8G+agPLw7lF+h3haUz15496pfVtTSflzh3eqzmgPAsPX7C5PwewMu9Q9jmMbr6e/z59SVV/f/iP9ylX1EVX1b1X1d1X1sqp6UlX9Rvt3p+/NEQicTYG8Bm610Knfs6ry736NwEkF8nv9z55055n7PbOZaetGM/c5C5tfpqpu31TdfEFVfXJVXaKq8m+of2reC/JA+3eq6hFV9Y8nvJhzJaA01k44AOy2F4H8zrtUIPW+5rP8Qnu5yt12mvfBG1bVl7cViQn8Pryq/qWq3tzOvPjotmJxt2cy/+if3XwpP++95293fWNVfUb7vj7/aPb4DwEB5XEOBAHluXvfP7/95TdXmAdBrzh3L3WrVyag3CrnpIPdrvnHWKYGTXtQVb1jw14Cykmsi270XVX1wF6Pvz0IKxc9GZ2dSCC/B35fVZ23fQ3mtbitJvDZlqTjLCFgvJ5c+WLtA+x8rm9qf9mGmPlHvUbgkAV29W8qAeUh33XnNhQQGp18TOR37O9pHmDfp6oyLeC6lgqcu1TVQ0/QnYByPtq5GobPl7DHSQUElCeV+7/7fVxVPaaZGjVB36b2u83SQd/Qhpabtl3y5z/QZGo/3OvwN6vq1kuewLnWl4DyXLuj064n377ofwMjU/Jlzb1dNGtQ7kJ19TEfX1W3aX+cN/FfXbb7M9ubgHL5W/e2qso3StMSVL5hwykIKJe/R+t6zC/lL+l9lry9qj61qt5yWKfpbDYIZGre17TbZM3QK25RTOCzRUyH2rmA8Xoy4vx7Imt4X2+w+3vbyskLV9WlRn5206p69sm6tBeBRQR29W8qAeUit08nWxIQUJ4cMutAJnTst6xXllkFPlhVmSbwPIOf37uq7juzSwHlTLCqElDON7PHfxUQUJ58RGSWlRf1ngV2R3pnVeWZUqrM8+XHfsuzwvxb45CeNZ2vvY7P6p1oquUffnKa495TQHnc93+JqxdQLqH8n328qaou1/5RQDndXkA53WobW16lql7XO5CAchuqyx7jBc2URNfpdfmtVfWQZU9Bb1sQuEPzmfGw9jjbDigf2U7TMuU0P61XUZ3t39NOeTVl32xz96p67dSNbUdgRMB4PdmwyDeH8w3iruWzPdX1mbIuX4BMyxcf7lFVd+ptl6mbPnGHX5A82dXYi8B/Cuzq31T5vOr//rTOPNOdXXOwQb4Q8O6JNyrva0+cuK3NCIwJ3KSq7jiR5gIjM6m8vJneNFPfTWl/3AR2PzJlwzOwzfWr6jm988yUhfkcfFRTVZmH8GkXr6r8Hv5jVfVh7d8luMzD7rhNbedKQGmsTb3jtjsEgcs3QdrPzDiRGwxCt/yOkfe8KS3LJWQa1HOlPbd5f8wsFV3LvxkyJX3e95IfJKfK7z4/2XyZ8fN62/1WVf2f9u49Zp/nv+v6FaMxWAWNohBiGhtBpSaAJooVEwgEWgUUTwhyUFPUxgN4wAZtRSkKAlIPlCAJhIiIRomKou0fGIRYrEVji6BE0aixNkERLUSNxng//F4T3kxmd2f3OtzX3vfrnfza3+9z77U7+5zZmfe8T/PXvhiEH3o9xqIFm6gK9wMvl4vA18hOAnFQ7gSWy3cTiINyN7LDP+CYtNA1iYNyHmUclPOs7nHlT79cLowmTeKgvAfV593jp15LcrQn/pfX7Mn/53lNyJPuRODXXM/Fcbt7Oyj3NPFXXC6Xv6v84D3bsqfdufa8BBgDOcKPyD3HqwxE2YZnFOeu/IGrkVX7VUb4Idf/P3qff/pa7q797W++XC7/8hlfPG3+8AReZU+lVNi/1tGe0Zk/fAflBR9G4Ja1Uba8NaHKLfaIM6+P/25x1rKH/ejOYVkZ/YTL5fKbyz8o8zrrFPazj+Kg3DOo7z3W9jw7135eArfMj//59QzaRs+5s85tPyJnnhuVdP228tKqqTiHUnBGL4JeODP/susfzKV/9otlUWqavvwZpfG/6m0v9DVHOvaz/yYOys8+Ah7//nFQPp5xe4Komn+1PO6WDcHzWv0aT4qD8rn98Cu7RXvG2JISr8/to6WnOUPlv7oqh+2av+btUPB/6zWal1bsJPB739aNv+D6m/d0Ct7T4bMTQS7/ZARE7CpZR1pJ/L0I7jleGSf+nusZjv/KyZyVSi39jgJvqzTdn3qNKHbmLaEL1MCEvf2Q60PgUQReZU8VB+Wjejj37QnI+DAf0+mPlvu/t9OIQf+3v5UJt+bSV88ignf+t5IVKev5x240/nddLpe/+HqNd/3yHS8bB+UXsGL72jFocuk0AU4ya7G9A1vrPzv9yz/2wns6KAUYf9/r3sH5jL3N/WATn/Kzr7tcLt9QnvSXv82P37ry5B//Njf+2+Xv9LM+cOspDV95CKcp+1g7a1gpb9WhzrRuvTfD///5cVC+RDd86EbEQfm87v3Ga1mt9sQoafPs46CcZ3WPK5VvUA6hSRyU96D6nHuoq08pbvL7rg6uMynGzyH1+k/hLPiDRReMg/L1+ywtPEbAOYg/7WpccFYuEVTBEHtE7u2gbGeV/C/XksvKZfseX10wVa6uiTJM1WE5av//dLlcvt/1D874+8mv/pJp36ck8Cp7qjgoP+Xwe9pLK0n3Vde18cdd9UGONfrhEbm3g9KZY196bYhyqdZeazfj7ytLn4GtDHo1yI/a/hsvl8vfdP2DMyr/rB0vGAflF7Bi+9oxaHLpJgEl1h1NIJu56a1/39v8+M9s/nJ8wT0dlL/ucrn8zOtj2GK+6S2wxL99z8G2PfNnjpZR2po4CkI26Ch7srXpz3ubG1XravKqxwr92usc1Nppb8duFtlBIA7KdVj9x+Dqox57RhA1k6v84LeN+X+x0gQHw6rFriSEVGhK359+VcoYMSgvDpeVFv3vvdVt/r8m+/4Xv5W1+tpy7ayRRjTYT7rWff5h14lamrs6y85+0g4T439T7v1oB6Voi5by7bE4ffv1+aJdlJL8667OEPyUIPzuy+UiSu03rGT9/LlvqeM/68ref/+SayQcg5H3FPX9307yrpe5j42ATYCDlTlm9LO2Oo+Asfg73tLcne+mffp4TXqFdKtJf9q1v9p1r86vbky0WX/+S1svWf5uMfMdN1lSXM/ioLz3+GlcRMr241kkkDOiZoTSxuhYpTodHSDdzqKauZ9voDow/abPoPQdffP1ZjbY6tEz5Ig+/f7Xb8rcpOyx70Tphdk6/30bbTRFb5mLRbSah31Lf+Qt88VcjNN/8HZwtwi2LeNsvXeNlvXv5tX/7HrBV77NB3/vtf6+g8K9Y/37iOOjxkd9Vq9ciyakFO8V64l31I/mcBtxXJU6VB7qP3n79295O6NMRtHsWUu1DXjpLyVD/orremUN8FzzrH7jKGfw+HcGJamW3kcEtHY1UcLpryr/23kyNgzWbnO8Z1oHHfhuA6FMidJN37UTmDFtfMtYMgbxsnZ4T+fauJ/5zvv8myulT/q5bqsZokSdJ/douafDR1vNP0pm6X9ZAaJM8dL35pLvvPajvjcWZuS9+t53bf7xfM41Z554F1Ga5iDvQwejD9LnzJ9H5Czz3J53c96xjawNYm9wndV9R8+753iVQdkclO1ZjK+ihT3nt+554SdfS0/+1eWZW2sUI4T5qmVQcsTqn6NiXvyrr+fYmBf9b9+G/a31n75vLaG3/+snyk79S6/z1496Wy9+wNue48+8riPmL2swfYNO0+tdsxzpV9Ze96f/Waf+5Csz86EocGuJ9c26NSP2MXUfat02dzXR5/Zj/vMXvY0bhj/r8a16mvvKiv6J1/LC9mzWYUEJ9An3dy4q3eq3XL+nJUPYrXuqGU57r7m3g9I8aD2xDzUOrI10TEZNa8nvv1wusr2sjcbBrKztJ91DhoSABmdvGnPGhmcqC63Um3MylbjcG+xGz8LImX2qQdDNzQH2++5vH/l7rmfimlPNP3vlUfpknxVS1yTv4bxCegx9xtx5y5rVv7NxYF2UMfll3R9f1UHZmuk8S+Xz6NKvesYXvbOeiz7j1GD7aWfTsg+yE85KP3f9g2/fgZLqxDxr3mXDs0ZbU1p5dvtX37ussN89+7AXue7eznC2Cnq2udF8ZZ/VbIf2pf/jdQ/H5rqW7dXj+SevZ+u1f3cGsXP1mvj+fIvOJzRufJvWLmuxdcue03q/dy98r33jVnc/Qp+gj1RHW52TrPl/59Um6Bsx398yZ43ez15bZRO2JeOiysy3vMTsUQ7K9jzMHKFk71Adelt9+Oy/s3E7LojM9J29vDMqmwhsFOB4VKyvdEZ6sH01Hdt3xxZvTqST8Nv49tYcp/3zfQv17GDnhgqwsReJTBKIg3IbVG9Alk585IBaZ6z8lPI49+0PvW9/tskzKVJMLYwz4mNywDZDwZZyf8RByfEnKmCr3ASjyi+/LsT++6MdlCaOWjLD4m5TrZ02Oz9oA57JzsamLYI2IQ5nx74ZUEa34GyxQM0a5t33779ysRGcEZOa+//DK0aVWzfTr84vDsovRsqjxk8bh2d0UHI+MTr61s2vyihsiUwPkXCz545RWES9MsKal2fkP75+59q2Jf3320pcCCAxT/eyZPx99Pho7WAE5GBrYrNkA7fX4EMptDnbmp89h2PPfMwQsbW2tXYJCPondmzuOXko8zaRlNM14UytG1Olp9oh73QDRhOK75ow4urjmRIx1gvvYgyurUn1edYnm9l/YPA+H91ByehtDef0meFl7TcWf9nEvPDsvvdd0zO+vpzxtzWn+Lu5h9Nn1rFwlnlu5t1dY28j+EHwhM3naK/DaYGr7/6I3NNBybBubfrzFxrCUOl5jA5759oj77bnN4w3v6n8wPyy5lDVJ/98uZ6BQtbIXjHHmq9FYDO0zgjnHsNgrQAw87tnXsPZYg/FGLMlHDDGhVJZ1rAZcT7oLyrnom39xppr36t0Lyfflljbqq5kDmbc8Vx62ozB3Tinp82cyyo4SKYjo+6smBetjZyVvdy6p5ptw57r7uWg5OCyD/UNcOBuiX4zL+l7hvktWdpPCjxjP6D3bQnbiDlFYOGWGEt0KHPOrJgDjH+Om1fQJ3t9rJUBFfRJz+SYrHIPB6W9knnY+b+c+L3QH32rR89Fu7fTyHpB/21l82p7zTcca64xdl5J6O41+I2Njs6xJPqFM6rpK+x55sFZ6ecu37q5UbCL73hrjvS9/wvX+eHV9IwlBvccaxwe+kiAy4wIRuYEtuffkp931VfadfYoP/9q25FVaz+4tV8RyCG7tu7Bl557733j0nMeqU/gQcdpYl6iW/h3QbiCO6rMOLm2+knSjXnR/OjdRiKAh94pSOyI3NNBaY62f13yFdDFzY0Cc/Y42Y68197f/HNXX4ffWYvN72uJDAIMBVm064+eQWm/IPif3jxTJYCT1zzM1jMrfbCWed/cEpkkEAflNigLfItAcrVNIGPOnigWE55MONEgTX72W8Sij7MXmwaONY62I2Kjb8Li3FqSvQ5K0Vwyg7zHrJhIGGtNNnXRZeD7j2ZvMnGdSbcuUv67Ws+eoZ9mRISEDRFhBP/qmR9drzFZ6q81saB6hoyaIyKKw3gYjblbN9Ovzi8Oyi8UskeNnzYez+igFN3G0UgBm1Ey2rvW733te2T8kKFJCdorFEFrx5YDijGiGlf8dw4y8xfnRC8jB+Uzxkdrh4CJmu1i7msK4yyjf+y6MZu9vl1ngy0Deq2sE53mn3pbp3/u3ptfrxc9zKGxZoyToVsNIS3YiAHF5n6PXiUQac1BIvrV+G5nRO59LdkPskdtbJt8ZAelrBwZP3vKYjUuvjlrNIf4kjyz70Xsyh7e+321tjMweZ+tjO6zzHMzY5/+bI6QEbJkZKIfNmffrFNn9Ox7Oijd37zBKWXjbA4azf/WBoEH5uFZ5/MMt1uuESDE4NJkLbKc/m8v0Yzi5llBKnv2U55DX7F2zhoS+/fTd+beVxPfq73Tnr2Wd5AxLVBzq+IKR5cKJCND/xYL86LAny0jjYCPutf1361f+n3GKdbawemtvWtirHHmHhEGMcbl/ve37qmOtGXrN/dwUHISyoj84VsPG/zduDK+tjLzR/tJhjpjhuN9VlRzYRxeK1OnlLT3kTlzROwDcF0z2j5DnxSUaMw18d/pbD3L9vejDkr6hOw5hnfsRiJDjFNMhai9FT7q/e7pNGr3Zc9hJJY1JQhtJGwl5nZZNWs2sCPj5ehvfDsylMla37lG37egTeNS4FLNxNlqQz930SVUD7BWjhzRS/cT4GYtmq3KttWuR/79HmONjdK4Mbb2CgeazMda5n50DwExgiCb+O/2qX4nq3xWjGtz+Nq4eMS+cdS+Z+gTbMg1e9F/V9Gnsmxtu8VBKRCEbYPjcSnAmA7Dbi+w6RZn3z0dlN5d4JFAPzptX3mssVH9T7USZVVnKwbNjsmj19mnVfvHWvUVPpNaUpeD2nq2V+jWdEt7rD1CXzQ+BKDPSO87UrFpyeE9c79Pd80eQ9qng3N9YYqQSL5qLDAp14jhLTb95sKCprxCv5k08VIwRDtV4aSRCk3JlyJsMRVdx2n1MwaOOE7KljY9atseB6XFnyGkz/oTwcNQwtjTnLYcmUpwtpKaNn8yP+pm+N4OSpuMeoYQp6hNq+cwejDw4SZqkgKImQikPlJJBgzFkIOSeGfMRU7oL+UX3FsmaRVlRixsa4sVZf9rut9R/rVNyUnjwDNsIBlYMVRqrQqjgn/vRb+0aGWGyGqwsYiLLKzCUF2jRl+dXxyUX2wWHzV+2th4tIPSc1rtft+hxbqK76pGTFNKeyWqL/HKmCsqmwPRmFZyRQS3+4iQMnfbZHHI9GudknBKSS2JEooiWXtFlRPDN2VzYDPP+KZ0g+eYc/ssSxvqWv6ufx4DSy0PqpQTA4LyMk0YpW1KOGFl3bcSsO3vzxgfnmUNlKlv89PExso8OSsi8fsoMnOzjbu5UJ8zOFFURbP2/EUC2nQviWAiimEVRi5tlC1vbHBqM3ZYZ0VK9oYzWSIUySWjub/VPrDZcDaFdcYarr/oB0o1mduNCWUmrVO1HLk2aovxYyyNxJiWCVbF2st4ZW2SBWbsW6eVKGml8/rrlfFroj1tPfcdVIVb//aVHazvzzjP4laHj/dnDK3Gce+MIYOVLDTv4d0ZfvS9/1/Fd23zv2TcembfyxqW6VGFXmL+YSg2tsyTjP50FxsuY6Xqqr4n+tjShvRM89zaHOMbNm+aj2pJyfYb+hmjAuMCI8M95NbxutYG8wVjA2fr9x5c6JtndNSGW40lt7Kwthpfba7Wnj6y3TXWQs6g5nzTJ+ZEc9keMX8xRPeGGN+EedeehDPNd2CtYuxXvaafFwQivlImpTma/lKzQc1D/s2cT3f3N9+zeb7PhmGItgdbmrvM9QKK6vygDxh6rL/WPeuJ+ZFD0TOqHqKPGKytD2tlALGvAWPmJkE29LT2HRq71hr/217YvoyxqXfK04foSCOxltov9/OdzC96Gue3DEzjjX7LKWMPV+cH35FKHKruNLl1T7VnLM9ee6uD0jvL8umzV+nhslV9T75hc40sbt+l8VL1ZmND369l0fb7Se02hzUd1/ErxpsMFHoFvYXub97uHY10OTaEkRhf1vO2p3CNtdD3z7nCwWmtN1eYA7Tbvr/fV//jbz8UMLckz9An6SDtWBrt8B0z3NZAbkF5+sdY9n57zk0WrEU/Nf/61kZC96Zbsx3dwyl1D6fRUp+YA40r+4AlZzvdyL6LbjuT+Tv7HR65znj3LRHfkL1HnyVkbmLjqcGwzYG155m9g5JTzH6o9btgSvtexzAJYLNHto82z/YlLF81iKfncY+xVs/xa/c3hjhzrL3KqJtL7NXwcoRHdfhaR8wva+UmewcLvuyHv+T6QA4klQroMdZQc7HgL/sU61cVc0S/d6l/f8S+sef+LH3COK1rtjlfuW720iZsQ/QA69VshTq/bUGBdG02nFFQoHWKE9neYe1Itj3f6b0dlPXZ9F1zozWi/6ZdRycyzxt/R4882vOua9f2pVA57HvHs+/Mv1UbqP42/n0ze0R/06f76iT0EfO0ctz0BjZKCRAY9tVZZv0/I5sqXXhPyfw97/bhro2Dcq5LGTRsYppwLNVyrVt3sejUSNDRBt49pPv3yjLjMyV9qSQhowBHIQWjytpHtMdB2RthPKOVjRi9t49Z2SVttrCI7KiT5L0dlDbcNYqCEVqkpwVMOZl6HmZr74+8Gndqu2zQKYl4UhgY0mtpgfZbSjxDWJVWVnbEw2ZPW+rCp/9tlJcM4DYhlNWW1em+FCDOy945UZ85e95i/c2r8/vsDspnjZ9nOCjbuNs6r3JpPu0dlIxKjHrGyN+wUt7H/GAOrkEJ/bmB9ZnWRXN+zWI3F9jgc4guib5ibK1BAuZAjhNtHIl5p5a9UgamOSVkyVDM2m9tkMwDdXP7rPGh7b0y2RxjHIwzwunIEFYVPhs6UaujrDVGKI7FPvNcn49K3JjXGW+qXmPDbuO4ZKQwJpTesPZWWducK8NUMwn0j02MzaS5XQRmzVis91WKpTe61XNi6rWMarV0EGMuvWPrzAXGPob36iznuKrnZrbnYFPLK1L4+83wTN/e45pbHD7elZGvlnnmKLbOjt67tdfYs6ZXXWDNaPmsvveNMJBUQ78NsuCrtWAoGZ6MxNXQRd8zr/RypnluNL58uzaQ9DHf/kgYBJ3taGyNdMFbxu0t43X2uZxqjGHecan8K2O8yGjf/OxcPPv82evqWTIcZAyi7VwwjnP7mhrcx+DOCC/jfK8wtve/U4Zd4MtSyUaGRfNAPY+c0VHg4UwZ0b1t3Hu9fub0q3Ov/23+Gp0hZD9hnlKiqgrO/r0XBhdGsVpVRrCr78eavCT2lQIiakanIA59OdofuY8xWAOLrIkcVBxb9LSlPQyDJwdT1dM4J/u9bWur+1bdwFrvWt/8knDW2L/X+YIjqA8car8/sqfa2/cz19/qoOSoqaUifSfWBPrI0nois8/+sI4Zehe9eOk76/eTre/tdWUZ9QGz7d19l5zY1YHGIceBMnK4M2Q2w7570Le0S3DCktAR/IajoAm9zdwwCuB5lj5JL66GYu/AASEg2dzO3oJj0/sZ62cy/znvrBu+udHxFL5f/UWvEEx3T7mH02imPYzUjPGCGZfekeGZjreV+T3zvCPX9Gc01+BYgVXmcPN83bcIGuDY35ul1TsojR8B9Izuvj/Z+SOx17B3rZVHjA97mnqG5pH3f/Rvbh1r/R5Ie9kL7OOWAjPNS/TsqtPQdwT2LJ2HapzWikr2qgKK2EjZTJV8HQUHCNxgJ6hBptpo7JsnennGvvGZ+oSsyBqkJ3DTnsaa4vgrzmXXkNm50f1UGqSDLh0zY7/ABkOvbve/11h+pIOytdEeUMaf+ac6c+s7/M7r3sh4Xyuteq/37u9jzuOkb4FDdEt2biKxyRzIFl8Di6zV9Mk1vXWpvf3xEq5retCoMpfv2bwoYLQJW5V9w5qe2a61ltfqV1sVsx7F+ZT3jYNyrtss7DXSltHZBD2zsbXxZGiqG7zRwa7uJ6K0KlkMka7dEgucj7Ua52yslsrCzTooGce0vRqULQYmjS1ZKltwbwdlrUldJxCK31qJklHElN9TDBmElkQ0hyycGqWzZBRwD+UGnffRxMZC1sKWIclzGItrXXH3sjgvyZHN9Kvz++wOymeNnzM6KH0H5icKzVaUbJ9l6DukpI42gByGNgRVKHqMwFtCkWFYrPM9Y+pS6ZjeoGMzSGEW+TpTuuxZ48N7i2DDsYm2VoPvFhsO5WoYZOwSybZk6HQ/axultRrn2xk9/fMYeRh7mohUs1mb2VzoI4bvJpRVhqvRuLK2jDJIOLUZTNcUfY4wSmvNflFGeFRuhNG9Gpv3nH/dl75bWrekkB5UAAAgAElEQVQ/ioOyf1/9Z6zV0mlL47MvxbJ2oP2z+l6wVD3fhDPBJm2tvHF7P05Kztqm31tD+3OsXHumea72HV3Zptt81GfEtOvuVcZ1bU57hoOyPV9fCrxr5V9HezdBjLLHtGstkG1rnj7ydxmTNROSI4BxlEGgP7eeXm4PIZjwiNjrVMMgIwtD35b0hjvXm3fNv+8tfXCqjHr7Od/9mvT7GMYThqnegUGXMEc2sUbhsVWy0/WCYoyrKv6No28kfSCZa7wHPY1TeE0EE9Rz75b0NHtS+/C6XzbO1hxU7bn25DLRa5lI+u8oGv/InuoRY+kWByXuvSGbYbfPzh+123dmDa02gLVjTUb7STq2uWvtXFrPtu82nqtwso0MkYz71WDP0Fx107U+6IMCjTdB3r08S5/sg558KwztviPf6J5yfIy6dDrz7lKGlblFpSi8tvZNR8fyrU6jvc/lRLfH8p9a4aXeh85ubRT8vbek+N721Os5B6x5ba6i15mPjVnfRRU2RQ7LeqzUnmePylMLJpAJb9+0JjKG+uMAOK+rQ39PW5517S1jzffCQVKDMGQf0me2nMPso9ZP9rwmaxV+Rs4Rv9vK4nYNu4K1qAZSsgXa//fyjH3jM/WJPuCJ3cF6bX9H99sjKgj47lQe7CtqtPtYp4x7wVFbY2DPs+u1z3BQtufNlH+15sg4Zwe5pbT3ER6C8Nm7msgYZu8RUNUf00YXUKnsSLCp/vZutVLD1pnA2qQt9lO1EiSnqaCCLZHQUP0l9GjvF5kgEAflBKRrCS0fsA+9iawckVlb0m/uRPWLUuqdm7IoRDM2EUkjE4fTckZ6A4HfiIBU8qyXWQelSbwq7hQdhlXp0Fti8+e6ysxvnuGgXDsDp7Vb5LAIqCr6hLKxVG6vXWtjXh3HNmWiFEeixK2F1ETrPzZWs3Wze6fKWqSvZx/ZTI82lK/E77M7KJ81fs7qoPTdLUWF1u9ROc/+7FuKx+gcr77sKmVSacdZZbVXuDjIbJpHWfCj7080s83ijDxrfGiLtcCa0EQQSv3fa+21bvSRuIwv9SzHpd/LCKzne+gHc2k13PRlstxrdmy41v3MNdWxvKSEjpxU1mvvWMsUL71Pv4GkW4yMKsoLieJtwnChv2eEEm4cMrp6L6VpRmeWfAQHJT3W2KqZy3sMK36PT3W2Cyqq+lhj/qy+78c853dflmZtHIjGJvreGBAc0M9fZ5rnvAtjOSOPbIPRGXreT2a8vt8yxs18Q1vXPNNBWdtinOOwVP7VtdYQxjIBMM+IjJbRR//sy47WdpsjZXKZ/+yDjojsOu9kf2HO5qwWAb111nN7Vh/RvJRdfKRtR3+Dne+0Zj0vZdX3z7Bf4QiuFVpUXql7G98KR0SNopcZ0FeCWWu/dVrgQ5OlICF/HzkofbMCbLakD8xw/UhPE5hQ11pBTn0prrVnyU5rlS2wt08eRcQf2VNtveORv9/ioBRcLci6CWObvpzVZ/vgrbXqIyN91j6WUXhLjFMO9qqDcTiNsqxl49asBvrybBZgKymr3/2H87Z3Tr+3PokV59XsOmYeELCjbHUNaq7M713Gda0/b3EabY2Ttb/PlH/1nTMcG5cztqxb2tN+23+Do3sK8BEst1ZCeastIwflnopvvu0aLGmOrQ64ree/x99vGWvWAUkJTegogvm2Amna9b191/xlLzfKhBw5KDnNBdXOBB72QRlL/frofeMr6BOcQ/bnM0JnFIyJf62KVX/7iDKua217poOytoN+1cq/9secuc5egX5tbzMT3DvDf+sa35tg8lF72m8lItjTShKY1Vv65/aZ7O7p2TPBKv03NXueZF/tha4u+zIyQSAOyglI10uUnqklN2c94bX+vFtRVCiRvfTRensPQrdB9cHVTagolxqZ0J4566BUjsXGsomNTc1Q2aLXv7vrH+2gNMFSELaiDmUp9c4JfVxL8S69X29gVjrEGZYz4ptbKo/T/76f3ER6yepZkiOb6X5D+Wr8PruDsu/rR42fMzooLfaMtTMKi4zkPqvAN9uX/VGaTIBCVZZmHPa1n/pSqP5GQR6dtTUy6PQGxpl5pV3zqPHh/v0atVbqu2+zKFHzZhNz71LJwv63stU5aMzp7T8OS6+1/PuITlGXDNgzG7/2vH698r7VKNuuGzmplDjkVJoRZejq+afGr8jYfl3oy7KJcKxl2maetXXNR3BQOnOj/45tPJbKKo+YOK/5G8sfGA5qRYpn933fL3uzlbf6/UzzHEPtNwzO/27v+Mgyrmsc38tB2dokIlj2D8PLUiY7Q5t2zkT7bo2Ztb/rI3PyqGqLTDfBLfYdswGXe9qyZ82zb6vHc2xVTNnTjqPXygRjfKzCATtrJOWM9D1bGzkH/e+aFTrKlLaP25Nl28+P1izr8qg6Qe+gtG8xH8/oaQJreue1AM+aTY7T6JiAPcxm++rInmr23nuuO+qgHDn9ljIGl9rT67N0KnvsUSDvSJ/dc+4SZ2Er8aY9S9WJ+n6RVVFL1e9hO7r2vfXJWQOogBBZVL7xkYGX4958IGjnWQZnPG9xGt3ad+33nMyy/9iwRuVfzUfmSZloa2fq3toea6KKAv25zO6rDQLFBB7W4xyOPnPkoKQfz/a9uUEWexXtH5UZP9rGe//ulrEmW646rWYrxLV3sG8TYFrtrksZ5iMHJacJ58eM9OfhqkDUl311n0fvG99bn1hbf3qOvn92iiUnu0w8gQrs8jMlO2f6aeaa93JQtrbNlH+lH7LbzCRizbzz6BrzssoJgqlrGd92rf2CQEsBdTNlzdfaQYfkoG2yVtmsv48MdHvQpmPTfQQxr1X/cg/BUH0FCDquPVFkg0AclPNDhNGYA6uJTRQD6NqB4j44TsMa7T3abMkyVOu8pu8zRDJI7hElYWsm39ICNuug7KON92QlaLd3sFhWebSDcsmo3HMcbYQtZt5xS/pIjNlnbt23/3u/KTVGRpN4+92RzXS/oZx9l2fxi4Ny76j5o9fvGT9ndFDORmY3Ir6fWtZj5DSUpdSXnmP83XsOhzNxanmKJUNL//1ZT2x2blXGZkbNnvHhfn2plT2OVOd/1XJGe/tu631Ez9cyf4xVjFZ7RBlfinATpT7Nc/0ZSCMHJeckJ+WMjKLzzev9eSf9OUsi/VRF2GNY3mrPR3BQfu3V+dHeld7Sl5Xc4sAIU8sDchbrk34j8ay+H5WjFLCkNNs95Ezz3FI5flmvnG+cX8+YL3vu7+2gbO3ZKv/KiVTPMr3H+Gn3UFnAnGleGgnDq0zkrTLb9ki+wXvObaP29H0maKieAX1PNrP3kgFaHchH5q+1Z+kDJT2bKHNVz/qbaafSaL+nu3C0l3VJ76BkgLVnmhVzrhKXTUZ6mjFvvazXKd3I2DXjCJ1ty5E91ey991x31EHZVw6xrnHuskvMCtac5fV8OmdAybbqpddnZYOtZVX3v++z+peCrPvzRxl8GR9HZ5nPvme97r31yZnSc9o7cij592eUcV3jeovT6Eh/rf3GuGWLWir/ujcAdbZ9svutfbL0aoZ7+721h81JoO2WcNob46PzWOtvewel70E7ZgM1R3aAtZLOW+1+xt+PjjUOfXpJXUNmM/3re/WJHPq8HuvUrh05KFUCmC2z3FfZW7LVPXrf+N76hDHO6T4jvf2w/eYZZVzX2vfeDsrWNr4HJUedjUiX72VvotRMn7Rr2I8EBY+cx+Y586Zszi0noMA0vhOBcEviW+ezkajQ5Mi3vuf9XMsGyBZYReUO/R/ZIBAH5fwQsYEWKVM3+vWw69Gd+hKpyoiIJO0zJZyz0NfSPuLI67NUlgwTMw5KpTIYfWrZnL0HvI4yG46811ov9Rui2bKDJqx+4pstqWJCtxluYuPOcHlv6cvQ6o+luumefWQz/er84qA8Pqr2jJ8zOij3GuwZZWzWmoxKgIqmrWfzKMtqAzOb9dzu3UdrLSl6/fdXDwk/3vNzv9wzPjhreiOzTfOobOjo6b3RcjYYZOZNRsono691bo+MMllGmSYjJ9Xs+VfaMzL2GpcYVbF5ZbyogUvWABtgwUuzGTZrDD6Cg7I/x3VPNmtjQxfmAK4l6Udl457V99rDUVGzjM1BMr5EUt8a8X+mea46KJ9dxnXt23kVB2Vto4oC9HSG6xbM9ggHpfFpDIkqXivNNJuR0BzmnGfOgOKwO3LOzNZ8L8uznqnF0THKbNm6zz3/3lfnkfFUq/Xc+ixZQiLAmwgW+sqdN7UG0YXqWrRk2O/X+j3nA2rWjJ7muj5TxL9xLNkHy0idNcqvoTiyp9qJduryow5K5dxq+WPG8KVze9ca0geYLZWb7/XZPedme34fZL1UirjXW/yWfUUgoGfeErDyCvrklm2p9VXvoKSPyziRKb4WPD816G646KjT6IZHbv6ULcuezzfBcd/kEQ5KZVLZiGSZL4mgV8bqLaej/afgUP3JsaJ/+4z79ozeQWkfKpBkVjhSzfM143TP0RKzz7nndUfHWn/2qzYJpthbYrcPMFo6jqF3UAoi6M/YW+PSB9Au2R0fvW98b32CU0tW5IxU+6E1wTcpCWXmrOqZ+x+95lUclLX9KorZO7ALNZ3+EQ5KNmwltpeORatr2+hs6J55c5j7HgRNma/6OdU8qypBFQ7Z/t+O9ufa74y76hhVQUsgVmSDQByU+4ZIX0d+yxnWR/n5kHw8vTjPUD3xKiOD5VZre4eo60fpxDMOyv6MD/daKlO41C5Run1Jp0c7KPdkefZOB+nY374F+XoIfS0ns8dBKXvmx1wVU8oQI5I+Gp2pREmsB/o+w0H5avzioPxjB+Sjxs8ZHZSMNjWrfevTFWBSo8BHDko17kXaNtnzbdfn94djK12l73q51aDT3+9R42NUEhvLmUj8kXNz1gCz1af+rh36tsqe8yfb70Ty9WcRjZTJkZNKVkIfKbfUdk4n2V8z6z19gROgF2uXc8FsFhkrBDgdMUh9BAclo5wydE0YKGXo7hX6XDXejsovPbPvlZ7Sv6Oz1ThvOHIYQxih9maOnGmeqw5K78kxqP33cNDvHSP1+ld0UNIjfdOi7VvQ3L0dlIyYHOUC9apYKwX3cBC18+HMU7Ir+wDMnntfUlEJqplysBxmnJuy5xkhzOF0Zv+pzrT2PMbeGoTwCg7KvnT6HgPczPi11tRAh73nT7ZnmHME2DYRKGGc9dI7KI1HWSazMqOnuZfIeeeK17M72zOU4uJUc4af83f7dX22LWd3UBpLyvM2URZfYN9ecVRMdeQvBQH1+iwnsrMRZ4UdhD2kydJYZUBljKxVOdpv/s83p4zqUSqh6Pvv2Blg+Ar65GzAW3VQcsgz6NrDe+f3lKNOo0e3WZY+I7yz3ZsT7t4OSvtH47ZmTZoTlTEU1FmPTRLko0TvmvQlNdeqtfQOyr3Z69rRn+/KIcqp+6pydKzZg/blK2WGz5xJV1n86M6uuxQE0jsorS2jkvhLnI0rem+TNdvEI/eN761P7Al4qvZDAQF0Fk7KvX1877H/ig5KPge6gW+9Oc7v7aD0rbJX0NWr2MvSKZSXbvtd9hTVy7aqr1T9ealiw6gs8fcZHCdw7352PzqXwNEme8o6P6I9p7lnHJT7uorBSARTEx+OD3kUAeVMEB9YNS7ZJPbnHrpXf9agf/O7rdTmvvV9Roy/cxKKSq4y46DsS575vQwTiv+sjAzTj3ZQUvYofTPSOyhnU697o+6ME4MzhYOaof+oPMNB+Wr84qD8YrQ8evyc0UG5NxJpxvDVn1G1p5xI/a77TA1Kyujb7w06e+ri1+c9enzIJKQIVpmtpT9y/FlLGY/uISPnqSCQulbPPEd1hN7RwwhvTFQZOalmWbjPHgel62UFfP1CmajWLkY5Y5Wib9M9m330ERyUskzNX/cWpZIYld6z722sGB3XSnTKKuSkZZC3oZw5y+hM89yoxKuzsjmiGWP7Mz7uPQ6W7vdKDkrOGo4Ae4k+Kv/eDkoGS8a2JvYpDGKMP/47R0Y9b5l+7CzftQAKxqNWCnLmmAHGZd8n5wujx1F5BQdl7/j7BW8OlZ9/9IUGv7P/c2Zgk9nykf2tlN+tZcCUmx45u3oH5SP0tNY2a6kM+i1DL8YcViLXOS23spba/c/uoGTw48S6tyx9N70+u+TEXmrPrIPS72ViMGpulWjmrKYLcmg6+3srmOcV9Enfax90N2K2VOLVmdzWRrrgPTKJ946fo06jvc+ZuZ6j8K+8Gt4Fs/RyTwelwEjBGNW2aoxyihp3+pUNsAWec5QIrrM/XBLVUlqJbOur9X1pDPcOSgFDtbz3DK8+4M8c8rfN/PCdrjk61pQDp1veW5bsdL2Dciloeak9exyU7vGofeN76xPOEO8TepaYjUq8+nY47gURHA1cunXMvJKDkm2HUxLXPlHmng5K91bhwl6giSziv/VyudAniP22YKgmWwEWAoqVdm3z7VJJ+FHyliCnex4HsDQmBAvJ1m5iz1KrWtw6lj7s7+Og3Ne1FJ3/4Rq52X5pM94+rno3EVr18GOZeTL0RtLXDLeRr1G+s60cnSuknFyfrTHjoBydgaQU7R5j0KiM6mdzUBozxoFJ+FaJg/KLuuS1vO4W01kDA4cGw0WTLdZbz73X3581fuKg/KLH+qz3I+XQ3Kc/p0GmYc3ebOOjN+jszZ541viQBWPzW2VWwRuV19i7lqx9T6O16sg6IyioN1wqq1OjVrXj2Q5Kz5QhxLAsSGhGbAQYJ0a6Sf39R3BQ9mejzvCZuUbm6j/aXfgefc/Bz2lhA1lLby29w++/boBkr3DkjeRM85xvUODUUnl7DlnGWOUBl953pr/3XvMKDkrzqJKlzokaZdoKwmNk+El7X27heqVBBUE0MV+6d38eHQdlzbhieLDPGYm5+lvLH/6R7kzG/jfK5skcZli5VV7BQcmBUksBzmTV7HnvvsTUkfLnntefy+d7q9lurU3PdFB65ve6BqXKrHB+95YwUKpwYR/cl1Xvfzu7f9h65q1/P1ritS9/fms72u9/x/XMx/5+z3RQtmczPpozZoJ/zVecdtbT/kzVdr9X0CdnszvohYz1oyxi78N4yxDPBkFPepYcdRrds30C5NldOAdbRn9/f05gjirBC7cK56PSkTWYbFQ1jQG+Br7JAnecwMiRzA6oUkS7JxvFKGu4tb13UApstG/YI/08v7dM855n3ePao2OtL399j7a0e6je0Pfnsx2U2vKIfeN76xN7qi9xQC+dAat/6Mb2DqrQPFPe20HJdkNv9w0sneep1LNqKFsZ3rPcer+DCinOja5n8ArcoHMJuGyy5GPx9768MjtV3Uu0e1gD9HMTAd30xmeI6jH2aU0EjNRjpJ7RhlM+Iw7K/d0mIrDWvxbdPopQpPDUaK218xv7w48p0aOSn1utpbgwqFcZZW3OOCjV6Kc4Vdlr9DUB9Kn0e++x9c79hujVMgB71t5HFJwMBoujhYqSjFOfMbvnjDj3PbKZfnV+nz2D8lnjJw7KL2YaEfbKvDQxj9fzm7bmo/Z3Z2hRnpr4xmsWQ/v3Ww06zxofffUAjoAZZ4n3HDkolxTJWb71OmVt+9LcNmZbZQX7Z3mfPstH1Kqs1irv4aRqz5dlpESUrAHvXctIjdgZzzZof2gB7EdwUPZnlh0ZQ6PfjIIF3rPvGd8ZqukFzgvZ2mCJ1HeW3ei8lbPNc4yN9GzOSmV/RmKOFUzge50tt3zLWHkvB6V5yhzAuMCYPhJZk4wzjNNr2Rl731/UvzJ1TRhbRS33IrKZbsvQTkQqCwIbZc3XswTpwBzyS+V7zXecI+b3KuY395Ep5X1FZjNC9BHSr3gGZe+g3HLQ7u2zP3w9R7v97qiBhOHH/q0Jx4igiV6e7aBsz7dnlinFWU9n28qs9Y3IDOLEW5Ije6q9/TNz/VEHZX+m48yzZq5ZOiv9Vn12TwZl3046pQw2+nstqTZ6H8ZpurMApH6OOJs+ydhMJ+AAWTpvkLG5nb9mXn60HHUa3aNdHNXtHOaloCZzmbWR8+1eQU19mXJBOqPsXv3FCVjPwZTtxhnQS6+fW/e1eUl6B+XXvp1/9kt2Qu3vISNUO15Vjo61/kzHe77fKMDgPRyU7Z3uuW88mz7xpdd9g6ShpQAmWW4qg8h2pjc+Wt7LQen9ZWMb+0tBLRyG9lGOtLtXUIusb9mqLfHK+kuXHB2p1ldgsa+TZT7a09Vyw2uVDHsH5R771a1jQUnbGlh+7wopt7bvZX8fB+X+rrE5t0lvIhpTZkxVctRytsFuB836m4iApWhNE4YyDlWOlHgVEdFvtkalQmYclCND3N6yfCPF4TM5KCkFJs0a2S6iURR6n9U6GolxUF4un9lB+czxEwflF18gBfWnlo/RRlJ0615RwqGe28FZUM+Bave7xaDzzPFxSwblqMSr4B1ZMPcQHJQIrHLk/sqy9wr5qJzMezqp6jvKunH+SfvPklHOWZUiFRmpevkIDsr+jAflEW0CHiGv0vc2er5JTh/9r2zOyFlNP2UI651UZ5rnaj/as/i2GXsYokfvLMCPUU3ErLH/KHm2g9I5twIm/GeUje89f/fV8MoYLdL9ntKPfdVkvmzlKIq+hBoDg6zH6ny0R2C4+JOuDXWmNGfMkoxKGgrKNE9vlW50z1d0UPYlXkdZN7f0ozOxakT60fv3paqWytG/l4OynyeMtTY/yhIYBXTIMJYFumT0P7uDUhnery5gBAjYxz9KbtFntekWB2V9J2el6nv/YRxkkxnJ6IzLs+mT9b2cXWltdE7hknPOGLA/4UB7VIm7o06jo+OSXsCuYs8lOGFk26T//sbrGdYc7PcUzxMo14IizCuql5k/RmIvqA3NYK8ftLvfE6kO0YKQGOrtpdYcqr1zkdOT83OP9Gcib5VZ3HPvR1x7dKw5vqNW49IHMh/7o5/u1eb3dFDWd7h133g2faK9u2+NnqjSQi0zWtkIFmOL/5WTZ6AfHRvPdlAKEjc3GvNLepBgfHsa1VDuvS70Y988XO1sPce+NL2j5azlNStZMFqtELWWBDYq8XrEx3Kkv/vAvnsHIB5p0yl+EwflsW7qDwn+qrcU3m8ut+prhS9FUrWfiIpiUKnCAEHh2SPKWShdU8XGvzdMzjgoRw6LPan12jA6x/IzOSiViHM2TxOTPiPPjHPSb2yca631rbKjRzbTHz2DUhkB57A28Y2Mzh14xRKvzxw/tzooOUd6IzgjAQdzLwytfYbE0rX1t88wfFFMneXVxLdqo7lXZNZTiprYaNaI2fbvtxh0njk+RmdQMoDMGMFFk/YZfHvOkdhiLzqvj64zd8oe2CPGYH92IyW4ljR0v1dxUvXvxrDGMEVR52ytshS19xEclKIwZT00WTqHYs9YWLr2VfuekUbmkOoefak751HJuKxypnluqS+sWebqtchoWdSMsRxfe8903xovz3JQMlAyLtgnjLLWvZeyhdrzyFJVWBs3TUSc1yCcEa++xKTsRw71ZmTtKw0IBhIUtCR+XwOGlDNmfBkFX4zuITLc/qzJK5R47c/8OnoO9RIzGdT1jEYMRNDvFY5kBvImMnNk6PTyDD1tb9sZJzkwGMqMvyp0E472kYP7yJ5qb9tmrj+aQflLL5eLCk1NZs53nWnP0jW36LPueS8HZW2fIBa6N0ctnZwTokofeH02fXLUFzMVB2TKcNDKlFmqsHF0LBx1Gu19nj2IoBU671KJ30dkBPXt7G1dAoXquWOj9+pLjMr65zgR+EP6imgzhu3eQbn3yBDP7QP+BPU4p/NV5ehYE+CmkkgV3833POhFX8VB2b/e3n3j2fSJUXcquak/ZNwv6dT/xjXIsT/a5h7D4xkOSglSMrjNM0uZ9Y+qtNIz4t+wf2lir7pWuYLNyJnn9nhN+uqItRS1wHLXLn27fBf2SFVmz3m+tb/7wL57nnl8a9te+vdxUB7rHnXda4Q+pyAjSRMRanVC2CrLQCnpI71FfO6dGPvN/tK5ZzMOSo5Nqfx1jJjoGCVmpc8A9LvP5KDsIyd+81vUnIlyVmz+9VWTOCi/2GD++kmAxi5mNWLoTA7KZ46fkYOSMaptlraQj0pCn9FB2Z8PIhvHXDg6H2SNSd93S+c13WLQeeb4sPmXBVplTxBNX8bunlluvnMGFpvLJkfOXhmVSB+d4fyqTqr27gxsNt61/COjsf7qIyM/goNSufRaatDGxwboEfLqfS8qlBOpZs3gwFjGaNbkTPPcVj/OREaL+uaYER3NEHgPeaSDUj9yStC56/kltd2CMmRIKW3q/R4tzrJiJG3CwMPAvSbOzuKAq4aGtl9SBlYAUMv0EeQp2HNJ6HEMEK0yjes45BlhZ0WwCUdVk1dwUPZO3HtnufXngSqDKyBvj/jG6NI1Y3l0PrN7vqKDsr6rvbp5oL7L0t727A7Kv70rUU8P2yp9u2dc9Nfeos+61yMclLWNApnMM7XUX68vnE2fXOuvmYoDvmt7ahUHZoOnt8bIUafR1n3b3wXEWn/s56ve3/4uC855jdZoc/y9M4L6dvYBzr4Dzo8t4QRhJ2vCmC0Ax5E/glpbppc51X6aTW5NegelY4Tq/bfaY7wI9qlHTAlwcLTVq8rRsTba0/Z68j3f+VUdlO0dZ/eNZ9Mn1vrQO1sj/463c3rpoyMR1MPuLeuvPwLm6Ph4pINScDIdR6Zo1btrWz2f7m7enwkyP/qe7Xf9vGQfvXQGdPsN+4XfVQdys//2voWtc9t91+bWKoJ2Be8+WvqAD+PNvi2yQSAOymNDxIHb/3X5KUegrCBKkQlPdlDb/IhQ8Le1utaMETbeVSlYS1deanW/cCxtvmcclJ7Rl9ek7GnXrHDiMhRX+UwOSuVca51v513IepoV5T5qtO9ndFByitTISIpEXw55iacyKv2G60wOymeOH9FE39WBdNZXXzpziXWfNe66MzooKS3KSZlr9XQAACAASURBVFSRobHn3BYGVBtKxtkmP/fNEPvLBvBuMeg8c3wwAljLqih3PlsqqT+TWTSbkuSzwqBUS2VbL6ti3QcFbZUKHD23d9p4hj7sjRuv7qTybnQUinHV8UbO1o/goBSRWM/Bk+mztDGbHW9L152h72WIWDdlBTXpnQlnmuf29Bn9kiGIc28UGc3AwNAgq1KE7i3yCAelUoR0HNmKtSxnbaez4T1bWUoBNM+SPgByyUHVt2dkaHA+s393RmoT/3utJK/xLGOyitLVsipnhIOTU/dPKRe/goPSmZDKrjYRDW4czBrVvc+XlN8b4zUbUDBQLfPHQS9YZU8pu1EQ7VJ/vbqDEqp/8Xo2c8O2FEB2dgflqPLFTLWSme9pdM0t+qz7PdpB6RnOHZU12GQUyH0mfXK2r+hE5mzGa2UeR8Kpx1F5a5m/o06jrXdR3l0wgey3kf3SHkX1Gsb32b3r1jNn/t4HNy7NJ/297C84QHyTTbDXDzXwZtZJ2DsC2CllyM3K6DiOURWZ2fs947qjY834sdbWffqSfege7/HqDkrvOLNvPJs+MdN39kztHN++2kxdJ9geBTr2trKZZ9RrHuGgtL83N/70cmRCfaZKKwIW7B16G9fe9u+9vg+mH9kiRvf82ddjGdrf7HfYjfRBq+ZBpzdu1xytbHLsOTVZ5edc94Ez72Ku6I/VEOw1c36xdrUjLDxLVitfTWSDQByUx4cII0Et2dc2a33EIk+5f9uS/gPeiibu78e56YOpG9WlLJJZB6XNO+WkyUzZitouZ3UyYlf5TA5KRoKq/OyJnFAyxCJWo3w/o4OSwarWi186TH70ffWGa9ecyUH5zPEji6EvjyALfLZkHMXHwlvljA5KHMyj1bi9FZ3Vjz3Z731k1lJG/C0GnWeOD+9oM1dLhzIuiwCekT5YRSSwjeVsRCIlVPBPE2cpyJxr0hvP//fr/WcUyHYPmSX1fKalTJNnO6lkr1DMZw3W7X36s81GxvyP4KAcZW9bMxh+7i3P7nvrv7loLcBt9I6y1Kx1TfrgqDPNc0f60GayRUbXEu/1XhxbAsYYA4/IPR2UX/pmcHVelO+xBiq2dul/xnuR3I8Y1zPv3+tTfcmltXv8rC6wjHOs7j/7KjSje/2QgVNZ8FpfWn6pHRy/sk2rvIKD0ppjranifFl7whnpy2f1e85RZQBZud82c/PrNX3VIFk29jYjB/mzHZSMPzKO9kh/JtG/Pyj96n5nd1AyvNLbqlNeIFYN6NnDbevaW/RZ997roGTv2JsB0jth6FU1K1s7zqRPbvVJ/3f6pPO/ZNj09pl2rUAQpT2tcUfkqNNo6Vmcypx0tVR1vZatROUIgQd7x8OR9+t/0wcCmFuXKh/0v/2h10yharur66M5yNo3E4zUOyg9i/G+P7pi6Z05NzCsIsjeUTmvKreMtb6iwtZxXLcweLaD8lH7xrPpE3v7zB6vneNbv8l2HzYFAdActUeDIO7poGRbsr9bqorBduIcWU69Z1RaGfHu7YP9sXhrfeScWPaeJv3eYbaqHpscVk3s+4zlGRkdV2dfueWoHpWLf2SW9sy7nOaaOCiPd5VMQpFmTZoBqF/wZiN8+/NdRDvIAOsjhpda/DO7s/V8xCKnRr+fdVCKMKhRXFsHf9e2fcXCWTKfyUHZZ6Aq2ercli2xqeQYwrAKBXVkvGrX9JtpkZL9maT9s1/9DMreST5bvo9RVwkBpWCqnMlB+czxYy3goKwK2WxJZ0ZC5xL0m/w9DsqZTdSzDF+9wY8BlIIyW+a1P+BbP3q/kYPpFoPOM8eHb6gPONlTXk82rvmpiqxb521tyV8yMKbKpnG2TJORAmlN7DfbS8/SP9pXzydiFNGXvTzDSaUMIWcFA5J3E91ZD4TfYubvlGeZ0U1GmcC9g1JJ53rO2Mxz7nXNLQ6f/lxwmxrGllmRUSCq1LkWsn0ZrPuMYfd6Rt/7VuiX+p5hiuFNBvYe6cvejipynGWe2/Pe/bW+ZxG3DA508V72lkCrv79lvPbtcI7WaK4xxzMsyPgROPOe0jvSGFnMKbMia3V0ZqUMJnMcR8qajMrQC05QCm9LGFll+9fSjn6zx0ix9Yyjf6c3yfqujnSOmlq2eunejJCMTjUjqtdxR/c31qxvM+IbMr9WXdq6an0dyaP1NA5J+21OAf/BrpYzn3mnPpB4qeLCkT3VzPP3XnP0DErP4ZTnnG/CJvDlO4LD/E7JeI4fa6P/LB39cIs+6zkzDkqONXORvpdl7j9bc0fl3Zd2HJW9PZM+uXcs1evZGKyNSuL3FQfoPzXAes9zbnEajZ7T73Vc0zKCZEvKeH1PMScZR+ZjYq+oZOR3TzZKsKdvp7fJsrnJ6JqtEjByUArCMl/OiMo29Rii77zqoDO/fa9rbhlr/f7HmKLT9HvVtXfjqBJQ1OZGzEbyDAflM/aNZ9Mnjo5L5yDSpWSdj7KQbzlL8J4Oyl+3oIu9V6WVEe8+QN2c7XuYEXMqezg7UC+qDMqqn5E+QJE9zn5+pqz5P/SWfSkgs8lslSZ6ab8/eeQ5tzMcTnNNHJTHu4pnnAGwGeUZtiwONfuGUsWQOlNKx6C10WznsWiZMwsZJrd+L6vF5lsUdpNv6c5aqW8666B0P+9QZaa2vjRq0QrOe+jlMzkoZcH+uAJgxhjim+T4NnlTbpUHrmLRlB00EhmuJtwmM5lfr+6gVPpKCawmIqU5E7YUf2cmcKD0ciYH5bPHTz10GjcOKQvs2vzDYc6Y3zvT/X7JQclIyIhVZSai/9GGr9aeUUbDbNQ5Xr+zc9YqZ1fPkq3vfYtB59njo1eE14yUo/mpj2DzDct0W4tCMx/a+NXoQJv1kbOhvz8lkpNny3jlGTJB68bcmZYMXzJFenmGk6rP8FCO0to5m0nXK8Z+ZyPfR5czTBmDdX6lg2zpHOMV6LZ/vcXhw/HBAVJltpSKLEXOOkbgJksG62f0fZ/hoc84KmeD1QSZiJivGcfmtN6Id5Z57rZR9Ud/zfBErxKN2wJxXtFB6duz8fY9cAzszZy+F6/+PkpsKw9KB20yG73seo4uQWO1ZL9/n3XG+b15uQZRORNTttOa2FtZK82fvU5t37SUReSe5gblqKpgICr9ntIbcPS5vYNxsCZ9ZqO5wrrV7xH6+zOg09lmnLv06P4MsrV93DP0tL46AEOzOXxW+sBHfBiaezmyp5ptw57rbnFQjjKP9aeMtBnpg7EdYcM2MKpOcYs+2+aCn1waNTJk9tUBOGAFeM+KYJ8aKExvHJX1O4s+Ofvea9epOMCAy3HfAiVe1UEpoKWdvfxKmX39nDJTFaD2iSCkPmhEiVYZlrNZoSMHpcBjuo/90Jpw+NvzV7uwOdHcuCRsMbVsIvvMbLbmPcate9zioOSUd1RKLd/IDuJopZnqPmycmNfEgaUMqWc4KJ+1bzyTPnHrOPM90MX0n8y/VtXuFR2Ur1BpZcR7ZI/wncxWP+FHcWxJDSD3nNkgd9faB7A11f0D26W+FZiwJOYX+5a6n54N+ugD4WYdm7eO2Q/x+zgob+vGaiC24VPGqGas/cLBGYxrTxwZ2SjfMhmXFkuRwerd13ISrhVtsBTJM+ug1Nb+EG//RrlnGBh91DbHDNmiGmzkRT/U8jKfyUFpA/hLuw7ncGYUGwnHDaO/sro2fxbD3kDh7AVnFIxElEk13FOc/O81Y/OrOyhHRlQbAQfQj5wHlGVOTcoDxZxhv6b1n8lB+ezxMzozdu3cVN+68UqZ//bruW/OTmqy5KCkZFCkasYlI6M5ZU2eYfhqz5epW89INL9TNtYykkVRmi8rg60N5i0GnWePjz4CjcIoy39WRs5bit/feM3A7e9DobT+9ZkkAoEE4PTC0Ky0UlVilckzVyw5QUU+K2Vl7a6ydtbtM5xUnIQ2+nUsUaZlWi1lL7T2y8BTqqhGfTqvDudeftQ1wKD+u7InR8tezo6F0XW3OCgZGhjbGWObmGO++o3Db1hplDVXFi9HbRN6jbE6OqPwGX2vHX0lDoFiHGtbZR85j379m6HpJ5T3YVCmJ44ywM8wz90ypka/rZHRMv/pZEfklvHaP893zcHu/Cz3PVo66sh77PlN7xDzjZlXts5UMY8pT1udD/W59jD2P1uOPw5bOnATwSeMhDWbvt6XEcQaay40nzIs1ExVera2jbKl3WdU+n5PadtZttY6UfX1zHptYnAUqNoLIxnHob1Y3cf/oi6gr/3OHoyzrQaxYi2IY8lJ6b7WRRm89agJZ7gqEbkkz9DTVKOpQV/GoUwHe8+1/Q6dk56pnHIT1zPg00V6ObKnmu3zPdfd4qD0HH3ImFfFmei+56WgJwEJONsX1DHGUMtxOJJb9Fn3m8mgHJV0N3cKZN0q9fvjr47seiaUjExVCno5iz65ZxxtXVsrDpg765EOW7+tf7/FaTR6jvndfGVttFbMlDvd0957XDs62sN641iatSAjuqu9nO+sr0KkXfRQjkvBNFvSHxXlGBB9aK9mrl/SKzgA2JrqWZjsJ7LmOYSXpD+CZ09p2613mf37rWON/tIHt9j/qBBAd14S9gFO5fqNrCVwPMNB+ax945n0idlxNHOd74Oe4Xv0bbMdHJF7Z1AKsGErUcr1vSutLPEwv7AVNhFwS5c3N60J3cyetu7t2/X2tHQ5evBMQMEo2M4emJ2gntve7m/fwHZSn+06FRa29iru0QdTzQZjHhlTH+43cVDe1qV9vXYZkLVMD0PhHkOD/mB47VOWGbltvET2UBYo16Lsef5rNHh7m63DX/c4KEU729j25T9MKjaq/r8NjggkCposlJYFanMrAkupiyZ7zlaZ6Z1XdrApuyRiombFMn7KkDTpif7jwMWYM5JC1Jy5LWOLk5cCVid1G02Tuz6pk/uohJZsIwYOEXjGDGNEPTfulfl5Z9+Eb6gv1SryRhk7BkbvRkkUAUjZbOMNJw7xWopqqeytDK1qlN8673NmbN56zbPHD+UL6z5KiZHGGLJJNH5FEvnWGU1EI/n+cVYephrA1sq2fsflcrEBbsJIxJGgLIVNmv5mNKilVp5h+GrtMZ8564sTtorvSflICmbb/JnnzXs2gHVNtYnGaS1L4RaDzrPHh/7Sb7XPzE1bGYqV38gJzkjMISNi3fpmTMms5DTqDSScSb2hrd7/664bh/pvsm4Y/q2t1mh9JDOdUv/TOqOw3xnH1Tndf8fPclKNyj5iJUAFK2sAI7b3sW743rwTpb9+w+YyfTeKbOags8bUcet6mx1zLMO59al34N46t41+f6vDR7/IXq7rrecInmDUose0MlzmOsE7HCY1gMr1a1lZz+p7WVvaXQ2p2sYAJaNYWRrvYjz4XqztgtKUCuvLsnlH7z+SM8xzjxhrTbewzsxG8fbtuHW81vvZN/iWnc37yiIAzD6ErlVFxjHjiL+1s6xdK3CSA5jeNTrPp97Du9NNfcPtfGXGCRlczcA7Ov/I/GVPQ3+zFhn/5jvfgnmcPmEtNjd6hnmgioA3Rg7rBAdHPafnWQ5K7fFu5vbeSM3oq432C+ZpQUHezXxfxdrMebNkqBHsJ6iW46kJA4+9CO7WB0F/1nTrr6zEvnSqQAl9j9WSPENPs29isO8DpOyV6aqCcxmX6aauNc8xMhkPjPFVOO8YHUdyZE/1iO/3VgeldcR60mcDyx6yj7KuMLhxRNN5rSX6v+rz3svaI0BsyQl8iz7r/jMOSteNytr59gX/0re9l2/dWKcnGyf22PYp/TdjjC+dVX4GffIR48097Wu2jMdLz77VadTf95a2PIrP6L6jQABOPDYfBvrm8KKfK7MsGN3cU21ko/ta/6xvvj/38D2b/9ng6npm7azJCgIMZAzrD+uCPbY1hl3KXE/v8D3T73u9eeZIoo/goMS7P5bFv5k/zEe4C3DFD0e6hb1pvzbSGwQ1LDl0n+Gg1O5n7Bs95yz6xCO+f7qtsbAVLLz07Hs6KO1h6G6vUmll6Z2tweanuj+lb8uGN4+xt7V12JoteFpwOl13y1fl27PHxbV9p/qor1xGvxHo3VdMoM/awwgG8d8FLbLdCWiq+rJ3E5ynvTPCPl3PTZ49Nmvm3h/+mq1O//AAbnxBC7rFqJY4aLc8GknkXjaMNUp4tpkmKJlj9WzM0W/3OCj9XgaKhbpG0W61iSLE+MvhUTM5TAyMq/eSV3ew9WeDzry3qBz9SJbqi/sbo4UJtMkosrR/nohZmb1NXp2fdlqoKPd7xl9zZPTnryxlRr2ig9K7P3P8eJ6MyRpdvjVezTmi/H3v/Xk9awEafU330XMoCLKAmzzD8FXbwYlhc9IbAreY+DtjCcPs1tkhtxp0njk+6AuMpNVpK0CGgWuP9OvP7G89x1jbOgt07xiuzzeORUeuRWg/y0mlXaI0GcmOilJ/jLKU8iVhsGC8WxK8+6CFo+1Z+909HD4MBNbFvjT6bHuNTSWZl+SZfS8LUmT3SL+ceR9GZEamvopD/9szzHMz7/vsa+4xXp/d5ns8z+adoVTpuZFwUNILainYeh3nkWoEgvDsLbaEgaBWaxkZE9fuwehhnbKvsoYx5jjPciSMuTLLmjzTQemZdAZ7rbWz5kftZqQWnc5ZuyaM0QwxfeDDVh/4OweofWl14I5+9yw9jV72WwdOtJl3addgYWwsOXWP7Kn2PH/22lsdlJ4jGEmmc++km22DPZjxuVZu8lZ9dtZByensXWrp/9n3aNcJ8vE9cGauyavrk3vf+xnX39tB+Yw23+MZgkusT0vnn3MK+o/Ay5H91dypXLH1qc+OH7VPMkOtsiUIoR6txMDPRknH37OmCMK119o66uGjOCj1mwoPe0pF1/7g8BVgtJaQ8iwHpXY9Y9/oOWfQJ+7xXd/7Hvd0UN67bY+8H93Dut2fBe+Z9gyCNK3tS3te+oUqISq3CfBYE8GSP2JwAZ1eEHrN5px5Z+3jYFyqHtHfwxzeV3bhpD0a9DPTxg91TRyUt3dnr1C3O66VQdl6KmOgqCqGyVribetjZFjbMoi7x14Hpd9whMloqiWIRu3xETvfQlsYNtW0r2e83Lt83BkcbIwxnMZbCqLJmePmVxewnLsY9lkeLukdlP5tFPFb++mMDkrtZ6y1KPXZIf0YZIyinHHCUq6/8VoiuV0nGp9hsZdXdVBq5zPHjzXBhtzcs+WUYAyTGdHKu4lor0ZL2Q8UsZH4FgQqjA6+bte/t4NSO0Ry4WHj0meRL81/oqvw68/vHV1/q0Hn2ePDPOYbajJzJvHovUWgKpU34/zl7FW+S9DBrHC4ub8xOCP6SnZnLf+39LtnOqm0QXauNXtPOV1zHyWcwX3r7EJrjAyKmqlf3/1MDkrt/v5v/0dZLY7mrTmsvScDv7VXhtGaPLvvPc8attcQKxJUOZv+3MmldzvDPDfzHT/zms/qoMTYWkiXtGGXZT0j5lj6qX2EABC6Biel+6zdo3dQ+t/Y04u2RHassv6MFU1khi1FQM84KLeCGLbatPV3GYq//HK5/MitC68R53jab42OPBjdQkQ343cNblx7FIezfrOezmT4PstBqc0M/d5FoFYf6b72TrIF6XWyfrcyD/buqSa6bfcl93BQeijjnwpL1rrZ8p0cHI5gYMDfYnWrPjvroPQunApKY/pmRwbPJciyar2LPWJ/VuvSb15Zn9w9mJ7wg8/qoGxoZdkwpKtsMSPGoXKh1paWgScYxNyztkfqHZSCf+qexxzPTmQvrUxinxHdt826bJ63F1o7l639rndQqoB0NABihtPomnuONQFT7EeCq2fEXKLf7E+35pJnOii1/dH7xsbn1fWJmX589jWf1UGJs2oWknB8a6OS1qO+MK+YG9vxaIIfBRLa4y8lriw5KN3f/sX+mN48s3+RfCHLvCZMbI2ZvpysuXlUpnbrPp/273FQ3t71HCf9GSGcJLJMbNRuEZ5+SopSrqKiOCsZkkR7urf08t92NapJnZ6VIw5K99Yek4qFj+HMRGPDIyVa5BBjGANvNYiKtK4laxmm1Xy+l5zBQeldjQelCUVtKJnH0Wac2CibuBhGZe+MlBwKp6w2JelMpkq7WeAoRjZ0vdism0yVotA/HJ/ffU1fZ+Svk+xZ+HlH725BMp68m2/BQuP9LCCiqTGpEbF9JBlF0sahl1d2UD57/Hie6B9jyJjjwGjGDE5J49WmR9nMarASHFEjlr7iWtJh6VtX8o2BwZzSNmHmEv3HKe8s0Rqt/0zDV99mpXCUcBVgQSG3KaIk+V61y/xn/HHWbjmE6r1vNei0ez1rftG/NQhGNL11YC2qfqn/GRQZflrpLaWDGZqsb8aZMaAsK2Py1tlCo2dQXJWhEeVpg85x1Zxw5lBzL8ecLFnz71KZr/7ez3ZSeb538Q7eRcCPsi5Y+YYYDRmRMbMuUOaNK1G9s8JwobQpXQMnfaDMonEtKnstq3D2GVvX3dvhwzjEQGO94NzV9+ax9m6cF97NXCZYYitaXPvfo+89V2k+76J8F+OJDFF9zwFrDubEtwYqk8MxzXB0RF59njvyTo/6zb3H66Pa+cj7GoPWb3qCsqDGpXXRnGRdlHFP35TBbZ4dZb/b18hiM76NbeuAb5TOyshA5xt9mxx5zo7xbCXyBPFZJ+yLjH/GDP8ZPdMehu4hoMo65Fmq3sg2rt/OKINy7Vzue7KmP9n/qSDiu8TJnt3a5bxEez8VVtbOyVprD2OJ+9N9zf/mR5Hr5hJriSAH2Tl0mj1l3N9DTzPujB9OXXO9uV/fCYQzJuhp9DJZoMrJG4uz6z2Ge/ZU9xwD7V73clC2+9lL6Xtro+/W2KJP+M6wEvmPFf3L+rh0TmX/rrfqs3sclO3Z5iB6i3FsfVbC1xwkS9g8QjcyJwhC8s1YH5fOnF3ru1fVJx8x3m695z2dRre25b1+b7zQ1+0ZlQO1pzYu2Sza/kM5YnYz39jI9uNa66vMZXq/vRajvjnWOmUNq/tN1QHqOZL1SCVzoeAc+1jrHj2f/miut+eWZalKzZ79a++gtM7vzUy6tX/uPdbwNZfoN/tda4v5senabBLWX+9qLlk7o7O+27MdlM/YN9b3e1V94tbx9Yjff2YHZeNJp3X8iIAGY4f+QS+hr5nflOt3vBTbjH3tSOyLBYP4VumwbMLWe7YPARkC/dbE9fYC5ml2dnsPc7R7+M75VewhzI0z9oH6rP484D456BHj6kPdMw7KD9WdeZkQCIEQCIEQeCiB/vxQ2f7OXomEQAiEQAiEwEcjINCvZSg6fkEEeCQEQiAEQiAEPjsBwT2qITHmc6ZGQiAEQuCzEuBwFeDXRGa6AJWjwYSfkmMclJ+y2/PSIRACIRACIXCIwN/SlUJ1lo9ItkgIhEAIhEAIfDQCsvKsc+TeVWA+Gqu8TwiEQAiEwOchwPAu01DpZGXfIyEQAiHwWQmo5KfySxOVJev//qxcdr13HJS7cOXiEAiBEAiBEPjUBJQdUh6znq+iTEZf6vxTQ8rLh0AIhEAIfAgCqgR80/VNlNfeUwbvQwDIS4RACIRACIRAR0BwqpKnRMl1xvlICIRACHxGAkrXKk+r6gpxxIQjyX7vZ4RxyzvHQXkLvfw2BEIgBEIgBD4fgZ9yPa+kvbnsEjX8R+d9fT46eeMQCIEQCIGPQsBZYc4R+33XMw4/ynvlPUIgBEIgBELgKAHnNjsL07nTglad3RYJgRAIgc9IwLnwzixv4vgjAY6RnQTioNwJLJeHQAiEQAiEQAhc/sPL5fIVhcPXvJX5+VXhEgIhEAIhEAIfhMCPvVwu33J9l5/3Fhn9iz/Ie+U1QiAEQiAEQuAogT/jWk3ge1/XyK88eqP8LgRCIAROTsDZk//p5XL5467v8Ycul8sPvFwu//PJ3+tdmh8H5btgz0NDIARCIARC4NQEvvxyufyuUsrif71cLn/h5XL5rlO/VRofAiEQAiEQApfLn3i5XL7zrVrAD7pcLn/gcrl82Vu2yB8OmBAIgRAIgRD45ARqttAPv1wu3/bJeeT1QyAEPieBP/5yuXzrtdJKI+DcSedPRg4QiIPyALT8JARC4FMR+F6Xy+VLnvjGf+RyufwfT3xeHhUCRwn8nMvl8o3lx9/8tkn9qqM3y+9CIARCIARCIARCIARCIARCIARCIARCIARC4IUJfP1b5uQvKO37TZfL5a9/4fa+fNPioHz5LkoDQyAE3pnA110ul294YhssdL/wic/Lo0LgKA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style="background-color: transparent;"><div style=""><div style="color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));">authora对double的特化<br /><br /></div><div style=""><div style="">template &lt;&gt;</div><div style="">  void matmul_authora&lt;double&gt;(const Tensor&lt;double&gt; &amp;a, const Tensor&lt;double&gt; &amp;b, Tensor&lt;double&gt; &amp;c)</div></div></div></span></div></div></div></foreignObject><image x="792" y="771.5" width="618" height="61" 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\ No newline at end of file
diff --git a/doc/.gitignore b/docs/.gitignore
similarity index 100%
rename from doc/.gitignore
rename to docs/.gitignore
diff --git a/doc/README.md b/docs/README.md
similarity index 99%
rename from doc/README.md
rename to docs/README.md
index 0969d245..f2d56079 100644
--- a/doc/README.md
+++ b/docs/README.md
@@ -53,7 +53,7 @@ deepx旨在设计一种超大规模自动分布式并行训推一体化的深度
 - 使用分级缓存。通过AI芯片的分级高速缓存，减少芯片的数据读写时间
 - 支持存算一体的GPU、AI加速卡等，减少数据传输
 
-![架构图](./doc/deepx.jpg)
+![架构图](./docs/deepx.jpg)
 
 ## 三、框架前端设计
  
diff --git a/doc/benchmark/broadcast.md b/docs/benchmark/broadcast.md
similarity index 100%
rename from doc/benchmark/broadcast.md
rename to docs/benchmark/broadcast.md
diff --git a/doc/benchmark/matmul.md b/docs/benchmark/matmul.md
similarity index 100%
rename from doc/benchmark/matmul.md
rename to docs/benchmark/matmul.md
diff --git a/doc/benchmark/reduce.md b/docs/benchmark/reduce.md
similarity index 100%
rename from doc/benchmark/reduce.md
rename to docs/benchmark/reduce.md
diff --git a/doc/conf.py b/docs/conf.py
similarity index 100%
rename from doc/conf.py
rename to docs/conf.py
diff --git a/doc/deepxIR/ir.md b/docs/deepxIR/ir.md
similarity index 81%
rename from doc/deepxIR/ir.md
rename to docs/deepxIR/ir.md
index be07adb7..712ecda3 100644
--- a/doc/deepxIR/ir.md
+++ b/docs/deepxIR/ir.md
@@ -21,7 +21,7 @@ newtensor 3 4 5 -> T1
 
 ## 函数定义(funcdef)
 
-函数定义由excuter层负责注册实现,用于声明操作的参数和返回值类型。excuter通过注册funcdef来声明其支持的tensorfunc。
+函数定义由executor层负责注册实现,用于声明操作的参数和返回值类型。executor通过注册funcdef来声明其支持的tensorfunc。
 
 因此需要设置参数、返回值的详细类型约束
 
@@ -50,7 +50,7 @@ matmul(A,B)->C //id=1 created_at=123456789 sent_at=123456790
 
 对于tensorfunc的类型系统，我们只关心与tensor相关的类型系统
 
-参考 excuter/common/src/deepx/dtype.hpp
+参考 executor/common/src/deepx/dtype.hpp
 
 ```
 {
@@ -79,7 +79,7 @@ matmul(A,B)->C //id=1 created_at=123456789 sent_at=123456790
 
 ## funcdef
 
-excuter 负责定义其支持的tensorfunc
+executor 负责定义其支持的tensorfunc
 
 1. 矩阵乘法:
 ```
@@ -89,7 +89,7 @@ matmul(Tensor<float32|float64> A, Tensor<float32|float64> B) -> Tensor<float32|f
 # funccall  
 matmul A,B -> C
 // rtf(remote tensor func)解析器会自动解析参数和返回值的列表
-// excuter会从mem获取A，B，C这3个tensor，并执行matmul操作
+// executor会从mem获取A，B，C这3个tensor，并执行matmul操作
 ```
 
 2. 张量求和:
@@ -100,9 +100,9 @@ sum(Tensor<any> input, vector<int32> dims,var<bool> keepdim) -> Tensor<any> outp
 # funccall
 sum(T1,[0 1],true) -> T2
 // rtf(remote tensor func)解析器会自动解析参数和返回值的列表
-// 其中[0 1]会被解析为vector<int32>，便于excuter执行时使用
-// true会被解析为var<bool> keepdim，便于excuter执行时使用
-// excuter会从mem获取T1，T2这2个tensor，并执行sum操作
+// 其中[0 1]会被解析为vector<int32>，便于executor执行时使用
+// true会被解析为var<bool> keepdim，便于executor执行时使用
+// executor会从mem获取T1，T2这2个tensor，并执行sum操作
 ```
 
 3. 创建新张量:
diff --git a/doc/deepxIR/readme.md b/docs/deepxIR/readme.md
similarity index 100%
rename from doc/deepxIR/readme.md
rename to docs/deepxIR/readme.md
diff --git a/doc/design.md b/docs/design.md
similarity index 83%
rename from doc/design.md
rename to docs/design.md
index 0c93fe33..a333fdce 100644
--- a/doc/design.md
+++ b/docs/design.md
@@ -15,9 +15,9 @@ deepIR{
 }
 ```
 
-excuter执行deepxIR的规则
+executor执行deepxIR的规则
 
-+ excuter执行deepxIR时，不得修改args中的tensor
++ executor执行deepxIR时，不得修改args中的tensor
 + 但deepIR不限制args和returns中的Param同名，这样可以实现类似inplace的操作
 
 
diff --git a/doc/excuter/deepx.op.drawio b/docs/executor/deepx.op.drawio
similarity index 97%
rename from doc/excuter/deepx.op.drawio
rename to docs/executor/deepx.op.drawio
index 86117f1f..b2d240be 100644
--- a/doc/excuter/deepx.op.drawio
+++ b/docs/executor/deepx.op.drawio
@@ -4,7 +4,7 @@
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+        <mxCell id="Az3iGQj9nxM2931kqFIP-2" value="executor&amp;nbsp;&lt;div&gt;ompsimd&lt;/div&gt;" style="rounded=1;whiteSpace=wrap;html=1;" parent="1" vertex="1">
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-        <mxCell id="Az3iGQj9nxM2931kqFIP-3" value="excuter&amp;nbsp;&lt;div&gt;cuda&lt;/div&gt;" style="rounded=1;whiteSpace=wrap;html=1;" parent="1" vertex="1">
+        <mxCell id="Az3iGQj9nxM2931kqFIP-3" value="executor&amp;nbsp;&lt;div&gt;cuda&lt;/div&gt;" style="rounded=1;whiteSpace=wrap;html=1;" parent="1" vertex="1">
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+        <mxCell id="JBEWLCwWRuB5Uu3qIstv-13" value="process&lt;br&gt;executor-cpu" style="ellipse;whiteSpace=wrap;html=1;aspect=fixed;fillColor=#fff2cc;strokeColor=#d6b656;" vertex="1" parent="JBEWLCwWRuB5Uu3qIstv-14">
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diff --git a/docs/executor/deepx.op.drawio.svg b/docs/executor/deepx.op.drawio.svg
new file mode 100644
index 00000000..8ba6ed8a
--- /dev/null
+++ b/docs/executor/deepx.op.drawio.svg
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style=&quot;edgeLabel;html=1;align=center;verticalAlign=middle;resizable=0;points=[];&quot; parent=&quot;ZCyPKg8dckpy5I3t4faN-32&quot; vertex=&quot;1&quot; connectable=&quot;0&quot;&gt;&#10;          &lt;mxGeometry x=&quot;-0.071&quot; y=&quot;3&quot; relative=&quot;1&quot; as=&quot;geometry&quot;&gt;&#10;            &lt;mxPoint as=&quot;offset&quot; /&gt;&#10;          &lt;/mxGeometry&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;ZCyPKg8dckpy5I3t4faN-34&quot; value=&quot;&amp;lt;span style=&amp;quot;color: rgba(0, 0, 0, 0); font-family: monospace; font-size: 0px; text-align: start; background-color: rgb(251, 251, 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style=&quot;edgeLabel;html=1;align=center;verticalAlign=middle;resizable=0;points=[];&quot; parent=&quot;ZCyPKg8dckpy5I3t4faN-32&quot; vertex=&quot;1&quot; connectable=&quot;0&quot;&gt;&#10;          &lt;mxGeometry x=&quot;-0.082&quot; y=&quot;-1&quot; relative=&quot;1&quot; as=&quot;geometry&quot;&gt;&#10;            &lt;mxPoint as=&quot;offset&quot; /&gt;&#10;          &lt;/mxGeometry&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;ZCyPKg8dckpy5I3t4faN-36&quot; value=&quot;template author 精度特化&quot; style=&quot;edgeLabel;html=1;align=center;verticalAlign=middle;resizable=0;points=[];&quot; parent=&quot;ZCyPKg8dckpy5I3t4faN-32&quot; vertex=&quot;1&quot; connectable=&quot;0&quot;&gt;&#10;          &lt;mxGeometry x=&quot;0.0055&quot; relative=&quot;1&quot; as=&quot;geometry&quot;&gt;&#10;            &lt;mxPoint as=&quot;offset&quot; /&gt;&#10;          &lt;/mxGeometry&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;ZCyPKg8dckpy5I3t4faN-37&quot; value=&quot;Add:TF&quot; style=&quot;swimlane;fontStyle=0;childLayout=stackLayout;horizontal=1;startSize=26;fillColor=none;horizontalStack=0;resizeParent=1;resizeParentMax=0;resizeLast=0;collapsible=1;marginBottom=0;whiteSpace=wrap;html=1;&quot; parent=&quot;1&quot; vertex=&quot;1&quot;&gt;&#10;          &lt;mxGeometry x=&quot;-150&quot; y=&quot;563&quot; width=&quot;140&quot; height=&quot;52&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;ZCyPKg8dckpy5I3t4faN-38&quot; value=&quot;+ run override&quot; style=&quot;text;strokeColor=none;fillColor=none;align=left;verticalAlign=top;spacingLeft=4;spacingRight=4;overflow=hidden;rotatable=0;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;whiteSpace=wrap;html=1;&quot; parent=&quot;ZCyPKg8dckpy5I3t4faN-37&quot; vertex=&quot;1&quot;&gt;&#10;          &lt;mxGeometry y=&quot;26&quot; width=&quot;140&quot; height=&quot;26&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        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style=&quot;ellipse;whiteSpace=wrap;html=1;aspect=fixed;fillColor=#fff2cc;strokeColor=#d6b656;&quot; vertex=&quot;1&quot; parent=&quot;JBEWLCwWRuB5Uu3qIstv-14&quot;&gt;&#10;          &lt;mxGeometry width=&quot;80&quot; height=&quot;80&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;JBEWLCwWRuB5Uu3qIstv-1&quot; value=&quot;tensorfunc&quot; style=&quot;swimlane;childLayout=stackLayout;horizontal=1;startSize=50;horizontalStack=0;rounded=1;fontSize=14;fontStyle=0;strokeWidth=2;resizeParent=0;resizeLast=1;shadow=0;dashed=0;align=center;arcSize=4;whiteSpace=wrap;html=1;fillColor=#dae8fc;strokeColor=#6c8ebf;&quot; vertex=&quot;1&quot; parent=&quot;1&quot;&gt;&#10;          &lt;mxGeometry x=&quot;240&quot; y=&quot;470&quot; width=&quot;160&quot; height=&quot;120&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;JBEWLCwWRuB5Uu3qIstv-2&quot; value=&quot;+A&amp;lt;br&amp;gt;+B&amp;lt;br&amp;gt;+C&quot; 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id=&quot;JBEWLCwWRuB5Uu3qIstv-8&quot; value=&quot;+inputs&amp;lt;br&amp;gt;+returns&quot; style=&quot;align=left;strokeColor=none;fillColor=none;spacingLeft=4;spacingRight=4;fontSize=12;verticalAlign=top;resizable=0;rotatable=0;part=1;html=1;whiteSpace=wrap;&quot; vertex=&quot;1&quot; parent=&quot;JBEWLCwWRuB5Uu3qIstv-7&quot;&gt;&#10;          &lt;mxGeometry y=&quot;50&quot; width=&quot;160&quot; height=&quot;70&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;JBEWLCwWRuB5Uu3qIstv-9&quot; style=&quot;edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;entryX=0.5;entryY=0;entryDx=0;entryDy=0;&quot; edge=&quot;1&quot; parent=&quot;1&quot; source=&quot;JBEWLCwWRuB5Uu3qIstv-8&quot; target=&quot;JBEWLCwWRuB5Uu3qIstv-1&quot;&gt;&#10;          &lt;mxGeometry relative=&quot;1&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;JBEWLCwWRuB5Uu3qIstv-19&quot; value=&quot;&quot; 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/></div><div>changeshape.hpp</div></div></div></div></foreignObject><image x="263" y="173.5" width="150" height="104" 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\ No newline at end of file
diff --git a/doc/excuter/deepx.op.jpg b/docs/executor/deepx.op.jpg
similarity index 100%
rename from doc/excuter/deepx.op.jpg
rename to docs/executor/deepx.op.jpg
diff --git a/doc/excuter/excuter.md b/docs/executor/executor.md
similarity index 81%
rename from doc/excuter/excuter.md
rename to docs/executor/executor.md
index 0e604e04..0a5b4633 100644
--- a/doc/excuter/excuter.md
+++ b/docs/executor/executor.md
@@ -1,4 +1,4 @@
-## 如何给excuter添加一个新算子
+## 如何给executor添加一个新算子
 
 ### 层次结构图
 
@@ -14,7 +14,7 @@
 
 #### Op
 
-Op是excuter的算子，是excuter的执行单元
+Op是executor的算子，是executor的执行单元
 
 在程序中，Op是基类，不同的Op有不同的实现，比如Add, Mul, MatMul等。
 每个Op都需要override forward和backward函数
@@ -31,7 +31,7 @@ Matmul会选择选择一个默认的实现
 git clone https://github.com/deepx-org/deepx.git
 
 #### 1.cpu执行器
-cd deepx/excuter/op-mem-ompsimd
+cd deepx/executor/op-mem-ompsimd
 
 需要提前安装好依赖
 + highway需要源码安装
@@ -43,7 +43,7 @@ make build && cd build && cmake .. && make
 
 
 #### 2.cuda执行器
-cd deepx/excuter/op-mem-cuda
+cd deepx/executor/op-mem-cuda
 
 需要提前安装好依赖
 + cuda
@@ -60,7 +60,7 @@ todo
 
 #### 4.front对接测试
 
-1.先启动excuter可执行文件， 位于excuter/op-mem-{cuda/ompsimd}/build，可执行文件名同excuter名
+1.先启动executor可执行文件， 位于executor/op-mem-{cuda/ompsimd}/build，可执行文件名同executor名
 2.然后测试front中py的对应算子脚本（front/py/examples 目录）
 
 可以按照顺序，以此测试
diff --git a/doc/excuter/mix_precision.md b/docs/executor/mix_precision.md
similarity index 95%
rename from doc/excuter/mix_precision.md
rename to docs/executor/mix_precision.md
index 1ca04687..ef2941cb 100644
--- a/doc/excuter/mix_precision.md
+++ b/docs/executor/mix_precision.md
@@ -8,7 +8,7 @@ mix precision 是一种混合精度训练方法，它使用 16 位浮点数和 8
 
 在深度学习中，模型通常使用 32 位浮点数进行训练，这样可以确保模型的精度。但是，32 位浮点数占用的显存较大，计算时间较长。因此，为了减少显存占用和计算时间，可以使用 mix precision 训练方法。
 
-## 3. 关于excuter的mix precision的实现
+## 3. 关于executor的mix precision的实现
 
 如：
 
diff --git a/doc/excuter/op-mem-cuda/cublas/api.md b/docs/executor/op-mem-cuda/cublas/api.md
similarity index 100%
rename from doc/excuter/op-mem-cuda/cublas/api.md
rename to docs/executor/op-mem-cuda/cublas/api.md
diff --git a/doc/excuter/op-mem-cuda/cublaslt/api.md b/docs/executor/op-mem-cuda/cublaslt/api.md
similarity index 100%
rename from doc/excuter/op-mem-cuda/cublaslt/api.md
rename to docs/executor/op-mem-cuda/cublaslt/api.md
diff --git a/doc/excuter/op-mem-cuda/list.md b/docs/executor/op-mem-cuda/list.md
similarity index 99%
rename from doc/excuter/op-mem-cuda/list.md
rename to docs/executor/op-mem-cuda/list.md
index 69966acf..80f19084 100644
--- a/doc/excuter/op-mem-cuda/list.md
+++ b/docs/executor/op-mem-cuda/list.md
@@ -1,6 +1,6 @@
 ## op-mem-cuda 支持算子列表 
 
-本页面由 `excuter/op-mem-cuda 生成，请勿手动修改 
+本页面由 `executor/op-mem-cuda 生成，请勿手动修改 
 
 ### matmul
 
diff --git a/doc/excuter/op-mem-ompsimd/contribute.md b/docs/executor/op-mem-ompsimd/contribute.md
similarity index 98%
rename from doc/excuter/op-mem-ompsimd/contribute.md
rename to docs/executor/op-mem-ompsimd/contribute.md
index b8e095c4..7e876738 100644
--- a/doc/excuter/op-mem-ompsimd/contribute.md
+++ b/docs/executor/op-mem-ompsimd/contribute.md
@@ -1,4 +1,4 @@
-## excuter
+## executor
 
 ### op-mem-ompsimd
 
diff --git a/doc/excuter/op-mem-ompsimd/list.md b/docs/executor/op-mem-ompsimd/list.md
similarity index 99%
rename from doc/excuter/op-mem-ompsimd/list.md
rename to docs/executor/op-mem-ompsimd/list.md
index 3ec2089e..6313a1da 100644
--- a/doc/excuter/op-mem-ompsimd/list.md
+++ b/docs/executor/op-mem-ompsimd/list.md
@@ -1,6 +1,6 @@
 ## op-mem-ompsimd 支持算子列表 
 
-本页面由 `excuter/op-mem-ompsimd 生成，请勿手动修改 
+本页面由 `executor/op-mem-ompsimd 生成，请勿手动修改 
 
 ### matmul
 
diff --git a/doc/excuter/op-mem-ompsimd/range.md b/docs/executor/op-mem-ompsimd/range.md
similarity index 84%
rename from doc/excuter/op-mem-ompsimd/range.md
rename to docs/executor/op-mem-ompsimd/range.md
index b0801634..ea1dd0ea 100644
--- a/doc/excuter/op-mem-ompsimd/range.md
+++ b/docs/executor/op-mem-ompsimd/range.md
@@ -1,4 +1,4 @@
-## excuter
+## executor
 
 ### op-mem-ompsimd
 
@@ -8,9 +8,9 @@ range函数是shape类中的一个函数，用于根据shape对tensor进行omp
 
 定义和实现分别在：
 
-excuter/common/src/deepx/shape.hpp
+executor/common/src/deepx/shape.hpp
 
-excuter/common/src/deepx/shape_range.cpp
+executor/common/src/deepx/shape_range.cpp
 
 | func | omp并行 | omp线程local局部对象 | 调用场景   |
 | ---- | ---- | ------ | ---------- |
diff --git a/doc/excuter/welcome.md b/docs/executor/welcome.md
similarity index 100%
rename from doc/excuter/welcome.md
rename to docs/executor/welcome.md
diff --git a/doc/front/aboutop.md b/docs/front/aboutop.md
similarity index 100%
rename from doc/front/aboutop.md
rename to docs/front/aboutop.md
diff --git a/doc/front/deepx.jpg b/docs/front/deepx.jpg
similarity index 100%
rename from doc/front/deepx.jpg
rename to docs/front/deepx.jpg
diff --git a/docs/front/deepx.op.drawio.svg b/docs/front/deepx.op.drawio.svg
new file mode 100644
index 00000000..038c875f
--- /dev/null
+++ b/docs/front/deepx.op.drawio.svg
@@ -0,0 +1,4 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!-- Do not edit this file with editors other than draw.io -->
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
+<svg xmlns="http://www.w3.org/2000/svg" style="background: #ffffff; background-color: light-dark(#ffffff, var(--ge-dark-color, #121212)); color-scheme: light dark;" xmlns:xlink="http://www.w3.org/1999/xlink" version="1.1" width="1411px" height="871px" viewBox="-0.5 -0.5 1411 871" content="&lt;mxfile host=&quot;app.diagrams.net&quot; agent=&quot;Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36&quot; version=&quot;26.1.0&quot; scale=&quot;1&quot; border=&quot;0&quot;&gt;&#10;  &lt;diagram name=&quot;第 1 页&quot; id=&quot;Vvg-Fo-2kplNZ5rFatkM&quot;&gt;&#10;    &lt;mxGraphModel dx=&quot;2191&quot; dy=&quot;993&quot; grid=&quot;1&quot; gridSize=&quot;10&quot; guides=&quot;1&quot; tooltips=&quot;1&quot; connect=&quot;1&quot; arrows=&quot;1&quot; fold=&quot;1&quot; page=&quot;1&quot; pageScale=&quot;1&quot; pageWidth=&quot;827&quot; pageHeight=&quot;1169&quot; math=&quot;0&quot; shadow=&quot;0&quot;&gt;&#10;      &lt;root&gt;&#10;        &lt;mxCell id=&quot;0&quot; /&gt;&#10;        &lt;mxCell id=&quot;1&quot; parent=&quot;0&quot; /&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-1&quot; value=&quot;executor&amp;amp;nbsp;&amp;lt;div&amp;gt;cuda&amp;lt;/div&amp;gt;&quot; style=&quot;rounded=1;whiteSpace=wrap;html=1;&quot; vertex=&quot;1&quot; parent=&quot;1&quot;&gt;&#10;          &lt;mxGeometry x=&quot;190&quot; y=&quot;260&quot; width=&quot;120&quot; height=&quot;60&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-5&quot; value=&quot;&quot; style=&quot;edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;&quot; edge=&quot;1&quot; parent=&quot;1&quot; source=&quot;Az3iGQj9nxM2931kqFIP-2&quot; target=&quot;Az3iGQj9nxM2931kqFIP-4&quot;&gt;&#10;          &lt;mxGeometry relative=&quot;1&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-2&quot; value=&quot;executor&amp;amp;nbsp;&amp;lt;div&amp;gt;cpu&amp;lt;/div&amp;gt;&quot; style=&quot;rounded=1;whiteSpace=wrap;html=1;&quot; vertex=&quot;1&quot; parent=&quot;1&quot;&gt;&#10;          &lt;mxGeometry x=&quot;440&quot; y=&quot;260&quot; width=&quot;120&quot; height=&quot;60&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-3&quot; value=&quot;executor&amp;amp;nbsp;&amp;lt;div&amp;gt;cuda&amp;lt;/div&amp;gt;&quot; style=&quot;rounded=1;whiteSpace=wrap;html=1;&quot; vertex=&quot;1&quot; parent=&quot;1&quot;&gt;&#10;          &lt;mxGeometry x=&quot;707&quot; y=&quot;260&quot; width=&quot;120&quot; height=&quot;60&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-7&quot; value=&quot;&quot; style=&quot;edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;&quot; edge=&quot;1&quot; parent=&quot;1&quot; source=&quot;Az3iGQj9nxM2931kqFIP-4&quot; target=&quot;Az3iGQj9nxM2931kqFIP-6&quot;&gt;&#10;          &lt;mxGeometry relative=&quot;1&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-13&quot; style=&quot;edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;entryX=0.5;entryY=0;entryDx=0;entryDy=0;&quot; edge=&quot;1&quot; parent=&quot;1&quot; source=&quot;Az3iGQj9nxM2931kqFIP-4&quot; target=&quot;Az3iGQj9nxM2931kqFIP-12&quot;&gt;&#10;          &lt;mxGeometry relative=&quot;1&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-15&quot; style=&quot;edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;entryX=0.5;entryY=0;entryDx=0;entryDy=0;&quot; edge=&quot;1&quot; parent=&quot;1&quot; source=&quot;Az3iGQj9nxM2931kqFIP-4&quot; target=&quot;Az3iGQj9nxM2931kqFIP-14&quot;&gt;&#10;          &lt;mxGeometry relative=&quot;1&quot; as=&quot;geometry&quot;&gt;&#10;            &lt;Array as=&quot;points&quot;&gt;&#10;              &lt;mxPoint x=&quot;500&quot; y=&quot;570&quot; /&gt;&#10;              &lt;mxPoint x=&quot;150&quot; y=&quot;570&quot; /&gt;&#10;            &lt;/Array&gt;&#10;          &lt;/mxGeometry&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-4&quot; value=&quot;class Op{&amp;lt;br&amp;gt;name string;&amp;lt;br&amp;gt;&amp;lt;div style=&amp;quot;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&amp;quot;&amp;gt;vector&amp;amp;lt;string&amp;amp;gt; args;&amp;lt;/span&amp;gt;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;vector&amp;amp;lt;string&amp;amp;gt; returns;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;bool grad;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;&amp;lt;div&amp;gt;&amp;lt;span style=&amp;quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&amp;quot;&amp;gt;vector&amp;amp;lt;string&amp;amp;gt; args_grad;&amp;lt;/span&amp;gt;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;vector&amp;amp;lt;string&amp;amp;gt; returns_grad;&amp;lt;/div&amp;gt;&amp;lt;/div&amp;gt;&amp;lt;br&amp;gt;virusal void forward();&amp;lt;br&amp;gt;virsual void backward();&amp;lt;br&amp;gt;}&amp;lt;div&amp;gt;&amp;lt;br&amp;gt;&amp;lt;/div&amp;gt;&quot; style=&quot;rounded=1;whiteSpace=wrap;html=1;align=left;verticalAlign=top;spacingLeft=9;&quot; vertex=&quot;1&quot; parent=&quot;1&quot;&gt;&#10;          &lt;mxGeometry x=&quot;410&quot; y=&quot;360&quot; width=&quot;180&quot; height=&quot;170&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-9&quot; value=&quot;&quot; style=&quot;edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;&quot; edge=&quot;1&quot; parent=&quot;1&quot; source=&quot;Az3iGQj9nxM2931kqFIP-6&quot; target=&quot;Az3iGQj9nxM2931kqFIP-8&quot;&gt;&#10;          &lt;mxGeometry relative=&quot;1&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-6&quot; value=&quot;&amp;lt;div&amp;gt;&amp;lt;span style=&amp;quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&amp;quot;&amp;gt;openblas的matmul实现&amp;lt;br&amp;gt;template &amp;amp;lt;T &amp;amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;&amp;lt;span style=&amp;quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&amp;quot;&amp;gt;class Matmul_cblas:Op&amp;lt;/span&amp;gt;&amp;lt;/div&amp;gt;&quot; style=&quot;rounded=1;whiteSpace=wrap;html=1;&quot; vertex=&quot;1&quot; parent=&quot;1&quot;&gt;&#10;          &lt;mxGeometry x=&quot;260&quot; y=&quot;610&quot; width=&quot;154&quot; height=&quot;60&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-11&quot; value=&quot;&quot; style=&quot;edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;&quot; edge=&quot;1&quot; parent=&quot;1&quot; source=&quot;Az3iGQj9nxM2931kqFIP-8&quot; target=&quot;Az3iGQj9nxM2931kqFIP-10&quot;&gt;&#10;          &lt;mxGeometry relative=&quot;1&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-8&quot; value=&quot;cblas实现&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;tensorfunc/elementwise.hpp&amp;lt;div&amp;gt;&amp;lt;br&amp;gt;template&amp;amp;lt;T&amp;amp;gt;&amp;lt;br&amp;gt;void matmul_cblas(const Tensor&amp;amp;lt;T&amp;amp;gt; &amp;amp;amp;a, const Tensor&amp;amp;lt;T&amp;amp;gt; &amp;amp;amp;b, Tensor&amp;amp;lt;T&amp;amp;gt; &amp;amp;amp;c)&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;/div&amp;gt;&quot; style=&quot;rounded=1;whiteSpace=wrap;html=1;align=left;spacingLeft=6;&quot; vertex=&quot;1&quot; parent=&quot;1&quot;&gt;&#10;          &lt;mxGeometry x=&quot;-60&quot; y=&quot;770&quot; width=&quot;420&quot; height=&quot;170&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-10&quot; value=&quot;&amp;lt;div&amp;gt;cblas对double的特化&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;&amp;lt;div&amp;gt;template &amp;amp;lt;&amp;amp;gt;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;&amp;lt;span style=&amp;quot;background-color: transparent;&amp;quot;&amp;gt;void matmul&amp;amp;lt;double&amp;amp;gt;(const Tensor&amp;amp;lt;double&amp;amp;gt; &amp;amp;amp;a, const Tensor&amp;amp;lt;double&amp;amp;gt; &amp;amp;amp;b, Tensor&amp;amp;lt;double&amp;amp;gt; &amp;amp;amp;c)&amp;lt;/span&amp;gt;&amp;lt;/div&amp;gt;&amp;lt;/div&amp;gt;&quot; style=&quot;rounded=1;whiteSpace=wrap;html=1;align=left;spacingLeft=6;&quot; vertex=&quot;1&quot; parent=&quot;1&quot;&gt;&#10;          &lt;mxGeometry x=&quot;-310&quot; y=&quot;990&quot; width=&quot;540&quot; height=&quot;140&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-17&quot; value=&quot;&quot; style=&quot;edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;&quot; edge=&quot;1&quot; parent=&quot;1&quot; source=&quot;Az3iGQj9nxM2931kqFIP-12&quot; target=&quot;Az3iGQj9nxM2931kqFIP-16&quot;&gt;&#10;          &lt;mxGeometry relative=&quot;1&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-12&quot; value=&quot;&amp;lt;div&amp;gt;&amp;lt;span style=&amp;quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&amp;quot;&amp;gt;某auther a的实现&amp;lt;br&amp;gt;template &amp;amp;lt;T &amp;amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;&amp;lt;span style=&amp;quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&amp;quot;&amp;gt;class Matmul_authora:Op&amp;lt;/span&amp;gt;&amp;lt;/div&amp;gt;&quot; style=&quot;rounded=1;whiteSpace=wrap;html=1;&quot; vertex=&quot;1&quot; parent=&quot;1&quot;&gt;&#10;          &lt;mxGeometry x=&quot;450&quot; y=&quot;610&quot; width=&quot;200&quot; height=&quot;60&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-14&quot; value=&quot;&amp;lt;div&amp;gt;&amp;lt;span style=&amp;quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&amp;quot;&amp;gt;默认的matmul&amp;lt;/span&amp;gt;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;&amp;lt;span style=&amp;quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&amp;quot;&amp;gt;会选其中一个作为默认&amp;lt;br&amp;gt;template &amp;amp;lt;T &amp;amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;&amp;lt;span style=&amp;quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&amp;quot;&amp;gt;class Matmul:Op&amp;lt;/span&amp;gt;&amp;lt;/div&amp;gt;&quot; style=&quot;rounded=1;whiteSpace=wrap;html=1;&quot; vertex=&quot;1&quot; parent=&quot;1&quot;&gt;&#10;          &lt;mxGeometry x=&quot;73&quot; y=&quot;610&quot; width=&quot;154&quot; height=&quot;60&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-19&quot; value=&quot;&quot; style=&quot;edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;&quot; edge=&quot;1&quot; parent=&quot;1&quot; source=&quot;Az3iGQj9nxM2931kqFIP-16&quot; target=&quot;Az3iGQj9nxM2931kqFIP-18&quot;&gt;&#10;          &lt;mxGeometry relative=&quot;1&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-16&quot; value=&quot;&amp;lt;span style=&amp;quot;background-color: transparent;&amp;quot;&amp;gt;&amp;lt;font color=&amp;quot;rgba(0, 0, 0, 0)&amp;quot;&amp;gt;某auther a的实现&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;div style=&amp;quot;&amp;quot;&amp;gt;tensorfunc/elementwise.hpp&amp;lt;/div&amp;gt;&amp;lt;div style=&amp;quot;&amp;quot;&amp;gt;&amp;lt;br&amp;gt;&amp;lt;/div&amp;gt;&amp;lt;div style=&amp;quot;&amp;quot;&amp;gt;template&amp;amp;lt;T&amp;amp;gt;&amp;lt;/div&amp;gt;&amp;lt;div style=&amp;quot;&amp;quot;&amp;gt;void matmul_authora(const Tensor&amp;amp;lt;T&amp;amp;gt; &amp;amp;amp;a, const Tensor&amp;amp;lt;T&amp;amp;gt; &amp;amp;amp;b, Tensor&amp;amp;lt;T&amp;amp;gt; &amp;amp;amp;c)&amp;lt;/div&amp;gt;&amp;lt;div style=&amp;quot;color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&amp;quot;&amp;gt;&amp;lt;br&amp;gt;&amp;lt;/div&amp;gt;&amp;lt;/span&amp;gt;&quot; style=&quot;rounded=1;whiteSpace=wrap;html=1;&quot; vertex=&quot;1&quot; parent=&quot;1&quot;&gt;&#10;          &lt;mxGeometry x=&quot;430&quot; y=&quot;770&quot; width=&quot;460&quot; height=&quot;170&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-18&quot; value=&quot;&amp;lt;span style=&amp;quot;background-color: transparent;&amp;quot;&amp;gt;&amp;lt;div style=&amp;quot;&amp;quot;&amp;gt;&amp;lt;div style=&amp;quot;color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&amp;quot;&amp;gt;authora对double的特化&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;/div&amp;gt;&amp;lt;div style=&amp;quot;&amp;quot;&amp;gt;&amp;lt;div style=&amp;quot;&amp;quot;&amp;gt;template &amp;amp;lt;&amp;amp;gt;&amp;lt;/div&amp;gt;&amp;lt;div style=&amp;quot;&amp;quot;&amp;gt;&amp;amp;nbsp; void matmul_authora&amp;amp;lt;double&amp;amp;gt;(const Tensor&amp;amp;lt;double&amp;amp;gt; &amp;amp;amp;a, const Tensor&amp;amp;lt;double&amp;amp;gt; &amp;amp;amp;b, Tensor&amp;amp;lt;double&amp;amp;gt; &amp;amp;amp;c)&amp;lt;/div&amp;gt;&amp;lt;/div&amp;gt;&amp;lt;/div&amp;gt;&amp;lt;/span&amp;gt;&quot; style=&quot;rounded=1;whiteSpace=wrap;html=1;align=left;&quot; vertex=&quot;1&quot; parent=&quot;1&quot;&gt;&#10;          &lt;mxGeometry x=&quot;350&quot; y=&quot;990&quot; width=&quot;620&quot; height=&quot;140&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-20&quot; value=&quot;tensorfunc&amp;amp;lt;T&amp;amp;gt;&quot; style=&quot;text;html=1;align=center;verticalAlign=middle;whiteSpace=wrap;rounded=0;fontSize=21;&quot; vertex=&quot;1&quot; parent=&quot;1&quot;&gt;&#10;          &lt;mxGeometry x=&quot;-270&quot; y=&quot;830&quot; width=&quot;130&quot; height=&quot;30&quot; as=&quot;geometry&quot; /&gt;&#10;        &lt;/mxCell&gt;&#10;        &lt;mxCell id=&quot;Az3iGQj9nxM2931kqFIP-21&quot; value=&quot;tensorfunc 特化&quot; style=&quot;text;html=1;align=center;verticalAlign=middle;whiteSpace=wrap;rounded=0;fontSize=21;&quot; vertex=&quot;1&quot; parent=&quot;1&quot;&gt;&#10;          &lt;mxGeometry x=&quot;-440&quot; y=&quot;1045&quot; width=&quot;110&quot; height=&quot;30&quot; 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requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility"><div xmlns="http://www.w3.org/1999/xhtml" style="display: flex; align-items: unsafe flex-start; justify-content: unsafe flex-start; width: 169px; height: 1px; padding-top: 107px; margin-left: 861px;"><div style="box-sizing: border-box; font-size: 0; text-align: left; color: #000000; "><div style="display: inline-block; font-size: 12px; font-family: &quot;Helvetica&quot;; color: light-dark(#000000, #ffffff); line-height: 1.2; pointer-events: all; white-space: normal; word-wrap: normal; ">class Op{<br />name string;<br /><div style=""><span style="background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));">vector&lt;string&gt; args;</span></div><div>vector&lt;string&gt; returns;</div><div>bool grad;</div><div><div><span style="background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));">vector&lt;string&gt; args_grad;</span></div><div>vector&lt;string&gt; returns_grad;</div></div><br />virusal void forward();<br />virsual void backward();<br />}<div><br /></div></div></div></div></foreignObject><image x="861" y="107.5" width="169" height="176" 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data-cell-id="Az3iGQj9nxM2931kqFIP-9"><g><path d="M 777 410 L 777 460 L 590 460 L 590 503.63" fill="none" stroke="#000000" stroke-miterlimit="10" pointer-events="stroke" style="stroke: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));"/><path d="M 590 508.88 L 586.5 501.88 L 590 503.63 L 593.5 501.88 Z" fill="#000000" stroke="#000000" stroke-miterlimit="10" pointer-events="all" style="fill: light-dark(rgb(0, 0, 0), rgb(255, 255, 255)); stroke: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));"/></g></g><g data-cell-id="Az3iGQj9nxM2931kqFIP-6"><g><rect x="700" y="350" width="154" height="60" rx="9" ry="9" fill="#ffffff" stroke="#000000" pointer-events="all" style="fill: light-dark(#ffffff, var(--ge-dark-color, #121212)); stroke: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));"/></g><g><g transform="translate(-0.5 -0.5)"><switch><foreignObject style="overflow: visible; text-align: left;" pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility"><div xmlns="http://www.w3.org/1999/xhtml" style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 152px; height: 1px; padding-top: 380px; margin-left: 701px;"><div style="box-sizing: border-box; font-size: 0; text-align: center; color: #000000; "><div style="display: inline-block; font-size: 12px; font-family: &quot;Helvetica&quot;; color: light-dark(#000000, #ffffff); line-height: 1.2; pointer-events: all; white-space: normal; word-wrap: normal; "><div><span style="background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));">openblas的matmul实现<br />template &lt;T &gt;</span></div><div><span style="background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));">class Matmul_cblas:Op</span></div></div></div></div></foreignObject><image x="701" y="359" width="152" height="46" 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jOLXhpD+ndBenvDgUIRzGR0dxp15y2qLQNvkgYYcbe5jvVIxAlUGPbONAw11pCz8JIhOmSIIW1WdjaYQ1pBdFziEEgzROadxrp1rdmrj54cX8osnRB8qEI2LngdwkEjPaVNp4fVxGHDSZ/foVzh4B6zK1nHPWLHPvuU2b0XnCWg0sx59tPiha6tIu1oviqjZgguZawvhDrMM1uK0nAroyA0QrQDtSyNldRbSJRDpLDrMiXpJYeAWtTUXTm5P/6k82znrjIT7nrrTzYIzVzGo+5+vioMKcWoW3jk9K7EqNHwO48SCqVb6OzyBexWPFTaqVHwGzeSMNoag7kgNatCDNevXmWv68hYG07i8ZnaSz93pqk5hYmz7YbKo2SxKaHlGPdBVna2H4rtEv1QaHXFxtXcTp3kNjmFN8SMP539eFoDqueaVCdHN6XpNVMMrF+2NJL0+9r5gpNe+1ywPexnsttlYcgYOeE3yUQMGPA/MjU1mpUpZ3hk7mkqecHS2tW5KYSDx86CtK6Xr4LJLX1TdbfJGBXRsDq07UJQFVc+ySNrKOt06R3emaIHgGzIY2egJXbEginYo76tbSaMuYfJGNNvikbg5N9fZKjAavzMZU6WwJGUyNZ5qiICKq1a0zC79N5uUfA5EZbShFQF4WItiYlpKM1F+5DwEb77TmBALV/kdPyXKoEfmV1lCW/RVGRNIiHkmMTMO1s+7FEJPmR8V8iNrGiaev1uSVgc3OpfZc/p7lUi4hcAStLwvFeH4qM1rlUbvs7MlhrlfnWbcvvdAgCNtqXU+B3KQTMuNG289uyvte+obRGNFoCJOakjSpnylzSEq+dSyPPH5qAIaX8wMhcctkkYFdGwPhQ1NGM/KzqzN0jExUxEFVVR2fxKWtTI/QIGIdLqt5Raf2Y+Ksx39FQFXmPhtQxsbbRWiP1waI2pXJWLr449fstAUMoOKCPijQctRZvzgTcI2DbIvp69QsyaPHumfJORcBafw8LbRvxVvrh9NxqvJgRnSxhfohFuiVgtLi9IIUWW6SxmBbnTJDlHZpUZs1iCuZYT+M6dz9kPb+Wvs+WgAl9R+CWpF34PU+T3AsGacuqNxa/rXVhWGpb+b01ky7lhzoEATsn/C6JgJUxcxjmD6ztRTig+/scua/HbcnncXTu7PLcoQlYfSvGnOtHErArI2BUoXywiuy6eLowVTRekV46hR4B4w/SZmfe9rEIizd5a2k1OO0VJPzLan+u0Y+RFqrO7zUXYt8SMD5pbUqGbXVaoP7vwBj0CJgItTrb+lLf2guKPd8LMNiHgPEbMtby/NAEIifCznv55ZCWOhXHNgLGh4gGsudfaFEXrcqkLQmuAJKlmwV6WB3DCb9XT3tPIY0ArXHPR/G7q3v0kPV6rrRltwRsLsiifa+97qjNor9tXrXRxqNriPks/QAnfHNF4Ia54F8v1YaoSznQipyCgJ0TfpdIwIyVb8oBqQTQGDeay95cd/ii0S7jv9ZFZWn9W/P7oQmYG2O4ppC5gLAkYFdGwJgcnciL2Hjvv2aWTs/yTWGyKOJU3JKeHgHzodXaq6Wqez5rFqbaoZqJjant0DK34LcEbFsur16b9iFgtJcWqVHhbFquXinv8KPhT1PLLgSMOZGGsCwyo22qn9tGwDxngUY4l64WYeoQgYqwMa2NmilPRcD0pR13fi+to6/n6iCXOmFlD9+WgC1FCpYyWgIGvzo6ddtYriVgSLeUIsxTo3X06j8FATsn/C6VgBk7EeW014i2wJPWP7iMb5us217URm7vsq7s8s4hCZh1RXklwwLNf+t7rY1JwK6MgNnw2OuLiEoSXbRW+KbU4eS9k3pLwDiO1yfakTp7JE5SyDpxX5uXa6TckWdoKfgctXKTBGytCddC2JqVemHeawgYHw/EoPgpjWA598wSASvv3XPK5D9C9vRXIlzO4fU86bXhlARMJCANdLm2iRmfKVJKiFpocEvk44Mm8jKH37kTMH2l0RvNrr9tLiUBu+NeziWn9oLhMe+CHPnmHba1YVt725RItGY02zchhyRgrY+gtbK4HNhXijYwCdiVEbD61nmTfDRXVvtBtBdS95KktuTJhlOTv5GPjMmi1fgITa/zKbU+VSPljjwjKrKOVizv3CQB40ux5n7Bnhmzl8pjDQFD2D+gAVC4uag1pzzO8sK1mbXaMPQ1PmC9MeLTxn/OyXnpahuaVm2V2PHYVxGNklHP1T5ayIk5XktNqvhAukbqEgkYom6zafN+0cjSotFYIps2PibldoxuwgcsNWB3zLRtByNBWIjgIcQY1y4x3CMO4dtpr9l2TV6v7WsImINg7XYi3USd+6wllnV9dZBBW450RCO5Ag+B/dmUcU2JWDmo14kdmZA4m68VPjfChYv07r7raa8symt8dXomSH5N9aXZrVMwnyCh0ceSmyRga0+I/LFa9X/Pj2yUgPHxolWqk9ZKJSGQg3ZnSfYlYHX5fBDNMf/gIs9UT7b5KJ1SA1baJmlprVnl4+UQQfi90eCVSLJ3aXIktf07Zw1YLwJXUIHUEiMm4iRgjx6ocQ4aMDm7dr3ndGl9ONTv0hfVPsoj5a4hYNvKc+il9SsR9aLx65tWbirKcwSDG3nmmghYm9zQx2SRXyt8sDjRFnH9S6sV6REwPkmiwEal54QvWV5NKpw+6vsUR3P5jLahfe4mCZgUFG36gG39kGKkNQH0/BFGCZhQ85qw01owCY+QL+1ENupbE0ZNkEtjhbDQDgr7Zq5snboRcsS8lZsgYPJ0uS/UukMD5vsriYkt1HK1FaHtM9/m5JwJGO1XnUJDUlk+QbQTI9Ju9GmCXGeCpCFuE14jJchJK+1ave27TAK2ffZao7lAFHHbR703JgFr8LsmAtbmXGEGqK/7GVkY+XH5QOt8L72Teo+ArU36Wl/Lom29u/HapJJrHIpH+ts+c5MErJfuY1sfmH/469UiarG9tmmUgLWm57V5ySxEtc/hoQhY2z/pVuobAPgJttdHeecmCJh6Od9ztm8jWuW4Y8ItctcFU8q5EjCpYuR4q+8inQs6mJu/dRi/Z5KA3XHo/f3BRat3k8ghCBhH+TVpd3rNdRCvzZhM0PIpHkqYA+t0SyPlLmnA3DMqoMBVRtukTmck9YZkrPVVS0nArpiAmQzyKBUx6ahK15gFneBtHrW4u639W4+ArU2jUCelVF8voR1SR+tVy9xCM/IhLj1zkwRsKSqubTttUH0HonG2ALSXZo8SMObGeuFce3FunWJBW49BwJQr27zrRIowA9RJdsvfb4qAzc2x1imXv8027eK5EjBZ0Wm8amF23ZaQs34WgaMJrFOWXBsBE63e3qmIBLRBG3Nzqb3ix3OHIGBL6+PS77TTtNG1dpRm3Vpyk9ISMHulOSs1kX+uRduWOFrb+RDWybsFPHGXqTVi2wgY5Ya5P2Kiv0msDlr3NWnA5FTC0GuZuwx6DmQnIBFmRZgUmAXbaLseAXN6QApGpb0PsEdAfNAyu9eLtZxeHCGPITdJwJx+a9PvUv/aOzLn7hYcJWAWhnJfmrppH/ngjYjgCdqdWnM6QsDkg1rrmAujOlUJU2mtjSntPTcCJhGoOV63b9sl5+dKwKSokaqmljXXdd2nc+frtREwG7UNv5ZtF5+332B7Ib3fz4GAtQ7q1hTtKm4lyJiDnjQWgsZOJTUBs85a5+o9pbRDKhVWllb4xVrfSqS2seOvzD91lIDBwf2xyKiLzefSd5wKk5PUc00EzCZkY6qvHxq5n64MBLLjRF5HoM3d0dYjYCaUSTbC8PmLtNmT5xIltrmJEA3mnNE7E/XPFUE2elGX/s2p+m+SgGknLYn7+JZEIlRjXWt+3DPYXsKsnFEC1t7NyaTI/29JzBvO521EHNLeS9jq5Mhvi3ZT0Ih/24hIW79FUCLEInNm6XMjYLWP3dJpW9/OlYD1cliNRvDSsIpArk3I+vpdM0l5yxi3mfBHstqfK376ZF8yBxxAirj149OXPraJBPD3bQ8dN03AuAG0Po31Ia7WICFfIqsf3HGZGIBg6BHrEgUExYS1rNxuMfeyWzKkjoFtK/Xdj357/+ky7tYnbJsGrHZBOLYv8xBAp3jomggYPGmv6uSrwvVtjCPpDfhxSDxay8tsouB+vDNQPQLmMQuIhWRJWqKDHIl06znx9k7caxKkuogYOSkiW79LwHvX0tw0AWPqlY5h6doYRKu9HmrOp2iUgLVXWS1timUjge27Tekp2svAe4EZrel57W0DEn/WxFBIur63cm4ErE7W6vqiOtK4972cK4GwsUk3UZOHpZQa+idq1xyzpkhlUs+VubQwBRd4CQgpcr+NOYcD9DY5V/xKm9t8i3w3uXtscxlxoHFAaw87yrxJAiainVarTkVU+5Bqt0OTdbcVa57vmS/nmkTevbFHchzuSvR0T8tVv0czxqzogO5g3gsik5RaJHPhEoIfzEVr9BoChgzSgJFjR/MvfBqn+/naCJgJZ7GqJzp/Cx/IHAmD0b2nkPjahOSDqi/mrUetJWBONE5kbNwi6R44k59JXQiiew9r4bwtceyc9KJzJLJUFifPnlAbO/kgpfU8QBakL+jJqQiY01irwaM5vNPk1Cmn1JyKmgMqE0StXUKSbWw9GSVgok1FndYyl+XZMwgODalLtZFZJ1x+YLX0Lj3vORC7xF1QRuu/1vaHvwb1fb3Q95LPlvbZhIsger0osbYOZnT+WWTpLsgZyLt/rrU4IwEO50wg2kvnaTAFgMzdgYls+rakOnHVGW1gfZG8+eMANjfn2/Qe7kDlw7ONrJwzfiZIe1j2t21+lzTFvjdacpG2NJF1epabIGD2Cwci+ezqvYO5zqGo1myzrPBds7aVhMX1h8Ky4WDtmxuNpq3f50PMkX5JmM/NX//gOJdHUDnmtAOefY2Ypw7I3iNrCJh0PoJPyMM3Jk3E7tbLtREwA+oE4KRZ53NysnCHl4gNC6AJzt7N6d7FyE5etdiomIjaq27KMy0Bs9ghSUX7xrzIJ8xEdcqgmmV25EDdnt6chjmgbkthYcNVVtkYSzv4E1Bli+BDNC0CFiofon61Jy6nHB/C3MJ9KgKGPLXEUZoFPlfmLEw42Dsp0djpF+dnqQuke6jntbGVRb+crtqPepSAWRSZNesLtCVbpeEyd6S84EjKBIhsufaonDCLX17ta6EdFlWLrv9FOovp0CLr/Vos1oilg4JxRerNYe2S0FGdLcmUs87c7WkzWw3YLovdoQgYnxOm0rJJjTgmnzOB6PmbGnsHKZpTY6nPiBfXgjeu8qDZmI2tg2It/MAczKw5iHidDxBBbzXrnP4RWdpzfoHmTR2Rds746TfCxOm+TauCbOoXMuv7k77E923DpnW0bvgO+B7V6xtHcmt7K2vSUKz5RmibrFftN6kNnPDn7gVGZqxhDk4ITivmkYMga8rc4brXTvuNQLBW7HW0hrIEIF31vNrWX3ujOVm7eSCbDv5F1hAw6531hMy5i6zB/yKevUYCZmCQDCx7bXZ679rUaC62TdT2o3ZyRegQPye0UeEHwfm0jXTsvW9D9RHNaXqW6qSdodHZ5vR9KgJmIW2dUEVGIagS6K6RJWf5UQKmznqRGG0DU6gUGqRHrEo5taM1Imcs16ZJqdvEX9E8R9bm5kutARvtT/3coQiYjaEOcUdIaufdXtvOnUCsvacVSZb7D5m3LtuoaXF60m50Pa1p+1571+C546f9NF6tNWDbPKWtoaGV4qT1i5uLojw0AaPF1G7WkVrrpd0OwnzBHCBHRNuYr+0BrTjw8b3yDY6YJuvgDvUjW9YY6/6SZr2tG9l1AK73T/5q6qhlDQGr/ciKD9kIRhf9zLUSMIMmMo1tndlmRJAhJ02+FUsRKu1HXZyKbazyIJmoS9jz+0A42oiqbW1Vvot/TWDmuhGRpoCK3Ilqm7pZWaciYLQ6bbRNceB0DYZT1hJ51i9aASa5bbKGgCkHoXNC6znQ1/Ug3cbBwlTE4syXped70Ua6MVkze9psW6fsbf1xKjaW+rXH+CJoAAAgAElEQVRNa9pqwGjf2sizpfljEV+zQfbKo/nj50IDTGwm/J+WyOG5Ewjayc+Y5ssSjvxmmJ7qvHU01NwcetISMM/0tGD1u5dIwKyRyAy3jVYT1uJCMyT4AKkg1k9O40XMrzrPXPn7IQiYtcA+Ym1wvVa7trMosIA4iC35r/bGm1kPEaPlbgXRtE5YP7YJE6cDJHxYS9akX6rL1Q4a6rqPNKusDy0RbC8cZxKe+65ZX8rVZNw2ijly6du56N+XSMBFd26w8ZzYTRQfIpU1TRU1MDOBjxoBckowcUej0Xo+YPWmy2TkY3CysSlzxnYKcTKxQSM6zE0jJ5teNzn06pMJTVVs4ttwfXQ2Zep7mjxpOXy4o6rsUxGwNpUC7UAdpcPs4LoXph5mV32DFTMrIkF7gniNRJyuJWDwZsZlOqTNZHJkTtJG9TMv03Q6hfcIkI0AaeGjY5wQTRuDtBl1pvwyrrSB/NrMKc6tTK3mCwLKTw5pErXKZOUyX30fCeHe1Ql/8LN61GOItJMts5l20q4yediEjJc2GMfa1DIS3KDscydgBSeuCsznxltovnXAt27MEE/f+dy3ToNgc0UkEDrrA18eJqg296D6rCn8VZk2HcbMA+9Yw1yZxjesyKXgp700gfoFQ+tlOVxan31v1jAamfpg3N5GwLWj54awKwFjevP9GyPEaM6h3Xfp0NgmhV7zHZVnETGpLHq+XBzhBR+NatfW1m/d4hvM3FuLoCEKhfbuW8+Yt4hwEcoLfnq1fy9ibR1nKaAxHD2ArW3/WT6fBOw4w7LrR32c1mSpicCjI3AKAqbWOjv20jg4INhk5vz1lt7P3xOBYyKAICAKDkQl59VcfTRTiDLC0SMnu7bTnu1OUf6E7cXgDjoONAj9oQSxdIhiTai1kKwlAiW2acC9K6Fu7Te71K6lnHdL71/U70nAjjNcScCOg2uWejgETkXAenea9nqBfDGf1ylRDtfbLCkROAwC7Q0bdamIFmsJbSMStKuZb6SlrDTMytwcSs4zGk8Wj/YmhpHy5p7hoC+hai1I1T0GczKyFDDF95JBt3XyaxOE0guW2KcPZ/tuErDjDE0SsOPgmqUeDgGmzTpiyf8/5MJdWsp8RAumPmZT/4o5mSnOYiuUnb/TIcw0h0MoS0oE+gjU9wpzPaCx5Z7B7YHv6SlFAAbzK42cICoRoocU/pjMuXzIEMov27hWyIm55KNZt0FEq1RPzLY932TuCRK88iUbcZ84ZP9utKwkYMeBPwnYcXDNUhOBRCARuGkE+J3y66PtcnhYCso6dntpw+w5JQDh0PXxYxTYI/gj3QMOiG4SsAOCWRWVBOw4uGapiUAikAgkAonArUAgCdhxhjEJ2HFwzVITgUQgEUgEEoFbgUASsOMMYxKw4+CapSYCiUAikAgkArcCgSRgxxnGJGDHwTVLTQQSgUQgEUgEbgUCScCOM4xJwI6Da5aaCCQCiUAikAjcCgSSgB1nGJOAHQfXLDURSAQSgUQgEbgVCCQBuxXDmJ1IBBKBRCARSAQSgUtCIAnYJY1WtjURSAQSgUQgEUgEbgUCScBuxTBmJxKBRCARSAQSgUTgkhBIAnZJo5VtTQQSgUQgEUgEEoFbgUASsFsxjNmJRCARSAQSgUQgEbgkBJKAXdJoZVsTgUQgEUgEEoFE4FYgkATsVgxjdiIRSAQSgUQgEUgELgmBJGCXNFrZ1kQgEUgEEoFEIBG4FQgkAbsVw5idSAQSgUQgEUgEEoFLQiAJ2CWNVrY1EUgEEoFEIBFIBG4FAknAbsUwZicSgUQgEUgEEoFE4JIQSAJ2SaOVbU0Ebg6BH46Il6uqf7+IeNDNNSdrTgQSgUTgshFIAnbZ45etTwROhUASsFMhnfUkAonAVSCQBOwqhjk7mQjsjUASsL0hPKsCnj8ifvFELfrXiHi8E9WV1SQCF4NAErCLGapb3dC3iYhnm3r4KRHxN7e6t5fZuXMmYHeNiFeeYP36iPi5y4T4pK1OAnZSuLOyRODREUgClrPiHBD404h46qkhiNjvnEOjsg3/C4FzJmBfHRF3m1r7dhHxxTl2iwgkAVuEKB9IBI6LQBKw4+KbpS8j8BwR8ZvVY0nAljG7iSfOmYD9fkQ8YxKwVdPimSPi01a88SoR8cTV8zD/mcH3/y0i3nzw2XwsEbgaBJKAXc1Qn21H7xERX5IE7GzHpzTsXAkY4oUMFEkN2PxUevyI+OcdZ9ovRcRdqncfstFUv+2OZa197bGmF/5j7Yv5fCJwzggkATvn0bmOtn1WRLxzErCzH+xzJWA0Kw9NAjY7fx4nIt4sIt5twulTd5xpN0nAnjUifigiPiciPi8i/mzHPuRricBZIZAE7KyG4yob87MR8cJJwM5+7M+VgH3yJmjjvknAHm3+PH1E3Cci3nFDXJ52+vW9IkKQyy5y0wTskVOjmTP5/H1GRDxil47kO4nAuSCQBOxcRuJ62sGc8O8ruvvzDUGbe/UlNwvya0cEXxVmqaeKCKf/P59OzD8WEd8REd8ZEcLiR+RjNs9+YPXg+0fEJ1T//ZoRcc+IeOmIsOE9RkT81UbjYLP6uoj4woj4l05FTxYR94qI14sIztB3ioh/jIg/iYgfmZzInfiX5IsaM9AHRcQDq5dePSLuHhGw4fPzBFOEqXoQqq/dJFf9rqVKpt/3IWBPFxFvGBGiFZmx/Dd/IuuPiFft+emI+N4NHg+bwaxuZtuWpS7Adymy9hjzZ6ldx/j95SPi3SPiTSKimO5KPbeBgNWY/eRExGhAR7/pY2CeZSYCOyGQBGwn2PKlPRA4NAF7iYj4uCoNwVLTRFh+cER8xdKDE/lCwop8RER8WEQ86fT+6yyU8dsTyfrV6rk3ncwoSME24WPzDhGxze+FE7XNtghyiCTSeHz5REaXuvk9k5ZEW7fJLgRMH+H39hHx2EsNmX5HYPXhC7Y8f0gCdsz5M9jlvR/j2/VWk5nxhWZK+61pHH5gx9puUgPme3NYcLjqiUPW50fEZzf+gDt2NV9LBE6DQBKw0+CctfwPAockYPKHWXjbk/4I3vxJ3jUi/mvLw+/TXLfj6h3kjaamvpZnW30In03x7yJCwAFiNfrdIVjvuaVwhOt9q9/5090/Imj77jwCwvTMH0bEK0REMfP0Xl1LwPjt0K4954p21I8yMdXksv7tUATs2PNnx64PvyZi+F0mYjVH6L97inb8loW5vlTpTRKw0jba0/fYRE2/9aTNbdv8nxHxDZNW7PuWOpS/JwI3jcDoRnDT7cz6bxcCxSeFmfAXmq4xBdVRbcyVf9npvmg3Jr5a+IeIqPzWKZeYd5m7mGVoYZ6hef4zJ63BHLrIT+0zgxQwFX7A9IJNzT8E5oki4sUjQruYGGuhNWOS/IkpI7j+fFlEMKH8/aSxeq1NAtE3asgZcvi8EfHrMw1kbrxf9Rty94ST07U/y3T+8E2OrF/eELV/2GxMT7kxw75MRLzFZPasizUOL7ohcDaxnqwhYEy//HNq3z5lMidrz69siOVfTyZb44P8aRMMa6EB7GnCnnwyL3uWqbYmefzBaqd8z8gz999N2aeYP8f4aq3ZTMvIKQ0ss3cr5uiXTsSr1r7u055zIGCl/cim79kBCtHvifb6vuEAj5RE4OwQSAJ2dkNyVQ1CxP646fFIHjAbrmznyEYRm/obbLRMTC09cRUKAmXhroVZY+607LRdR419/6T54tfFx4Z2oRUk70cnn6vyG/PeH2w0Z684aYWQjR6pFK32NU2BxezZ61Pro/a7EfEsE4lCHmnEWuKhHLgjQi/bFPpOG8L6uTP4rSFgHL/bcj50o6n8qJn2qFK7+eg9d1W/ufHsCz5hv9a8M5KG4lTz55Af85NM/n5Ix5x20zxDOpDWvz1k5ZNf402loZjrCvLpm/edlpsQ2mfhIDEvXH7jwJhkcYnAXggkAdsLvnx5TwR2JWDMDBbeIjRQtC1/MdCe9l1aoheceU/o/qd3fuPs/+1b6pIfiYN8K8jCi218nP5py7vK5dxfBOmb21wQGibRVlpn/F51tGE0Y+UGAs/QGrzATNvWEDDaL5rMIkyiLdnrVcMfi5awliWsdyFgp5o/A9Nx8ZHnmzQ9gj1aDWF5mR8fc/U372lm3NaYc9KA9dq5ZJ50EEHwHcK+7Yg4LQ5oPpAIFASSgOVcuEkEdiFgNCVO+rXphTaKiW9Enml6v/YbQxaYA1vpETCbN1PhNmEioeFqvy+k8ZsW3qWF4kxcBKlkqu1Jj4DB5nkGI02ZUj+2KZjJE6lpZZSAPebkMC0qFLnTdpGko/mnaDK1oYj21ZGobbvWErBTzp+R+dh7Bobmivk353h+DDPjtvaeOwErbfftMV3zjZszT9KS0w5zYViKjt11DPO9RGARgSRgixDlA0dEYBcCxsmcWa4IwsGk1DO1zTXdhc3SIhSh5WLGaKVHwEZIlHL+aPI/K2VKHomUzPlYleeYKdtINRtyL1igR8BGtF+lLhtU63ivz8w1rYwSsB7m1pnR8RGdykRbhE8fZ/k5WUvATjl/dvl0mI7fuzFh1+WY78gDM+MpycOlELCC1Yh5kiZatLCo21Niucu8yHduIQJJwG7hoF5Ql3YhYMwHHNaL2Iz4xawRmfe9V4T2qzaZlb+3BAyJ4GAvonFJ5LXi1F6Eho6mbkmeq+N0z/+Hs34rPQLGFMvZfVREadIKFZnDcx8CNtoWzzER1eNJY1ibm9uy1hKwU86fNf0uz7bjUf5+CjPjtvZeGgGr+yLXngOWVB1y4bXyIpNP6S7jle8kAjsjkARsZ+jyxQMgsAsBY9oTBVfk3lMqijXNEQnIUb4Ip3qJQducWy0BE50poemIiM4TfVmEw3zPX6stixM/h/1amPF6/m0tAZOMUmDCkpatLluqiFer/iDFxqt2OngqAibqtE69IcpUwto5WUvATjl/RuZJ+0xNwJgZRcvy72KavUm5ZAJWcJszTyYBu8mZdcV1JwG74sE/g66vJWASMramAqSmJlMj3XqKKeN6/SzN0282L7cETKqGuUSXbb2c52V+L9Jm0Z9rZw+TUQImXUUdRTiChbv1+MwUmQtK2JWA8bWTNoETPgd/BBbZ9a+Xvw2BFLFa5JAE7NTzZwT/bQTMeH7iRMK2BW7sUs/ad24DAdNnhw03AtRJlJOArZ0N+fxBEEgCdhAYs5AdEVhLwJjKaAiOISLwfmqBgInuc+3QiLQETN4m5rUl2YeA0brxIVsjnzRtSOUd+EoF0spaAiYX2PtN9zSKuNxVDknATj1/dulzzwQpZ5qEw3zzpBq5CblkAsbsKAkyM6So0laSgN3EjMo6hzNyJ1SJwDEQWEvApItY49+0ps3MbsxvtbQasHMnYMLsa/+4kf63Zsy5qMs1BIyJWI40G9u+ckgCdur5s0vf5axCFnoJVkumdybJXa8U2qVN3rlEAibIhD+h3H9zNwXQ+Ep1IpVNSiJwUgRSA3ZSuLOyBoG1BMzpVe6qY4ioyG+8cALGwXzpfsoWu4+OCJGTRWSNLzcV1M+OEjDEgSauzfvFdOz6J87kEmK6v4/vXRvdeUwfsFPPn13nKU1duWKIubwnDiKid0Xx9S5837XuufcuiYC90uRHKHijR2T5eoqEppE+NZE99LhkeReMQBKwCx68W9D0tQSs56DOz+oHj4TFpWnAbCY2nzXSmiD5wfGHa2WUgPWS0NLMSS3BlLYkxyRgp54/S31d+p0vHNxocSTw7YmgggdPUb1t8MZS+Wt+P3cCVi4kZ2acSyb8J5vryPg8OghIE5OSCNwoAknAbhT+q698LQHjoO1Ow1pG83LtAvalEbCfbVJfjPS5dcJ3xVPPdDhKwNroT0kvbYj/PNKYKQmtZLRFDmmCPPX8Gezy0GN8D83Hu1X3YNYv0upIdcI8aawOLedKwCRWRlAFksxpC93EQNvlmi/3w6YkAmeBQBKwsxiGq23EWgIGqDbBqRNv77qgQ4B6aQTMvXftReBLOHznFKVYnpvLuzVCwGgh5CuTOLaIpKKfvNSI6vc2T9chCdip58+Kbg8/6nYBd23eZ+OY/4wzb/3M9E185eYWAalJDiHnRsBc4O7bf+NmvpW+IvxfNeHgYJKSCJwdAknAzm5IrqpBuxCw9h6/h0yXFB8DuEsjYDCwKa9xKJZZvY56/LiNT9H9OmCOEDAXZ7eXoYvKpBUbEQSOD5oUFUUOTcBOOX9G+rzrM1J4uBLLHK3TndTluX2BedLVVvua3M6BgBWTLOIl4XBPRJHqr6jRv9oV3HwvETgFAknAToFy1jGHwC4ErL2/kA+MK37+7QgwXyIBE/HljrsRQdYkl63lrSfH7vb9EQImRxoTZi13npzuR9pDq8M/p5ZDE7BTzp+RPh/iGZnezVVjx8zaCrPbwzfXQX1Y55aF0fpvkoAhXh8yaf5696K6oULULTPjMS8kH8Uqn0sEhhBIAjYEUz50JAR6BOw5psuy56rkSC0XUm3m4v/hbrxReY2NH43M9MxvHMQlcu35hlwiAROQMKcRafGRm4zPUBFpDoxJL+v+CAHr3S35UpvIzJ8YGBi+PExFrR+PTP3Ga07aTPhLBPSU82eg2wd9RKLZt5siKHuBFBKQCnLYRW6SgPXmlT4wudOAy48maW1KInBRCCQBu6jhunWNtdm2mz1nY/m2tsnXTr4f5RlaMFFiI0kq5aj68SbSby5J6iUSMJi8aUTAaJvQlEjpUd8D+X2biNJXmXlphIAxi0k3UWth3FSA7G4Td11++4YMuyJKpFqdBmMpsEAeJxqgIsynzKjnMH9u6oO1rr/mpBWT46qkYrgtBMy8Rbpc1O66ppRE4CIRSAJ2kcN2axptw5bDqNZmjdyZSEvG1PVEFRJ8P0SItdnsa7Bs1ByT6w379yLieSOid9XLpREwubWYaGxKsODQ3hO4waG9Y1ESVxrBnowQMO8xAb1uVQA/nBePiEfOlCs56sMmQswf7SM3pPCLqmdpJvWJtqMnUm/U2f+1038zS83JqebPOXyo/PvkFLvXhO2lasCkR+G/x8zooJCSCFw8AknALn4IL74DEkrahIvYOCWXpKVCzJ5zynHE1FRLL9+UpJ6i+PyzmYvI49D9PFOGeISjTsxoc2fecm1QTy6NgCEyouQKIfnWyffnVyfNFI3jy220TNI8MOvUspTEdZSAwbMlcYjhx27qZk5EyERqGvM3qaLY+PAxnUozQqtVCz+wB0x9QJTrIINPnaLh6uc5/Uuqi4i6e5IJVIqGU8+fc/o4BTi4Eqr1+Rtt402aIF0lRHN9zDxnozjkc4nAwRBIAnYwKLOgHRFwSfWSyUjIeS+30T2naKfH3qFuG/lbTRmx516/NAJGQ8CcyqdtLkVBr682V6RtW6LUUQKmfBosBHlUEGFjIU+TNQl5bgliKcv9kg+qCuZjhqxvk/tvLv525VIrx54/o/2/hOdukoBdAj7ZxkRgNQJJwFZDli8cGIHHnTLZv+SWcucImFf4ftGuvNqKdtH23HfAcffSCFjJ4UXrwzl5JCs+0iORJS3VNllDwBBipiL5qpbEtUQcx3+kevDuk4m0925LwDzT04LV784RsGPPn6W+X9LvScAuabSyrReBQBKwiximW99ITtvvO/kt8c8hnLn5Z/10RLivcCm3FSLG4fiVJ8dyfkPKpemSD4kJ0ybPFNWaM+cAvjQCxv/q9avOcKhHZgQ20Cgx5dByyQnF7PrQSVs2MsHWELBSnoz6IlRp12jkmIONBzMYXz0aO/9EX7bibk5zQr4nhI5zvuCMT5jx83ubzRy592TalLaAz5h3+Ap+7kB2+GPMnxFcL+WZJGCXMlLZzotBIAnYxQxVNjQReDQEmNVEGRZZypmVECYCiUAikAicCQJJwM5kILIZicAOCCQB2wG0fCURSAQSgXNAIAnYOYxCtiER2A2BJGC74ZZvJQKJQCJw4wgkAbvxIcgGJAI7I5AEbGfo8sVEIBFIBG4WgSRgN4t/1p4I7INAErB90Mt3E4FEIBG4QQSSgN0g+Fl1IrAnAknA9gQwX08EEoFE4KYQSAJ2U8hnvYnA/ggkAdsfwywhEUgEEoEbQSAJ2I3AnpUmAgdBIAnYQWDMQhKBRCAROD0CScBOj3nWmAgcCoEkYIdCMstJBBKBRODECCQBOzHgWV0icEAEkoAdEMwsKhFIBBKBUyKQBOyUaGddiUAikAgkAolAIpAIREQSsJwGiUAikAgkAolAIpAInBiBJGAnBjyrSwQSgUQgEUgEEoFEIAlYzoFEIBFIBBKBRCARSAROjEASsBMDntUlAolAIpAIJAKJQCKQBCznQCKQCCQCiUAikAgkAidGIAnYiQHP6hKBRCARSAQSgUQgEUgClnMgEUgEEoFEIBFIBBKBEyOQBOzEgGd1iUAikAgkAolAIpAIJAHLOZAIJAKJQCKQCCQCicCJEUgCdmLAs7pEIBFIBBKBRCARSASSgOUcSAQSgUQgEUgEEoFE4MQIJAE7MeBZXSKQCCQCiUAikAgkAknAcg4kAolAIpAIJAKJQCJwYgSSgJ0Y8KwuEUgEEoFEIBFIBBKBJGCHnQM/HBEvVxX5fhHxoMNWkaUlAonACRH4qIj44Kq+b4mI1zth/TdR1WNt+vzvTcUvsen3Tx2hMdeI7xFgzCIvEYEkYIcdtSRgh8UzS0sEbhqBayQIScBuetbtX/8zRsTzRcQzR8STRcTjRcS/RMTfR8SfRMSvRsRvRcR/7l9VlrArAknAdkWu/14SsMPiuU9pnxIR79kp4KMj4kP2Kbh59+02i9wXdsr7xIh43wPWk0XdDAJJwO7APTVgNzP/1tT6ahFx94h4nYh4uoEXkbHvjIivi4iviYh/G3gnHzkgAknADghmRCQBOyye+5Q2R8D+cDoV/tc+hVfv/kBEvOIFELC3iYhnm9oJm785UP9vezFJwJKAnfscf/2NhutjJ43Xrm3948ld5tM2B9T/2LWQfG8dAknA1uG19HQSsCWETvf7HAHTAifEbztAU549In4zInrf0blpwP40Ip566jMi9jsH6P81FJEELAnYuc5zpsUHR8TdDtjAX9isaW8dEb94wDKzqBkEkoAddmokATssnvuUto2APexAi9ZHbHwo7j/TyHMiYM8xEcXS1CRg4zMrCVgSsPHZcronn2EyH/LzaoV2/2c3AWHfFREI1V9ExF9GxBNGxFNFxLNurDXMlXeNiCfovP930/rIPJlyRASSgB0W3CRgh8Vzn9JaAvYbEfFcU4F8HSxgFqZdxbfzyIh4lqkA/7+Y+PzpnAjYPSLiS6qOJgEbH/UkYEnAxmfLaZ588oj4kYh4nqY6xOvLI+LDprVpqTXI130j4v0j4kmbhznsv0pE/NhSIfn77ggkAdsdu96bScAOi+c+pbUE7DMj4l2rAt9rEx3kmV3lVSPiu6uXv3QTVYToFDknAvZZEfHOScB2GuokYEnAdpo4R3xJKhRuFLXQcL3R5Ie8tuqniYhv3vx78ebFP4uIF4gI/5tyBASSgB0W1CRgh8Vzn9JaAvZWEfE5G83UE0+FUs2/0B4VIFx8Jcg/b/59QERwYD1HAsYc8cJJwHYa7SRgScB2mjhHeultN1r3L2rK5kD/ShHx63vUyTz5DRHhYFmLde6ee5Sbr25BIAlYxEtFhCiSV57MUhyV/zsi/ioifmnzd1FuD4kIk3xJ9iFgd5lOMNrzvBHxFBNZYC4Tsfa7EfGTEfFNEfE9UxuX2tP+7iOTRPI1ppONHDEIyeNGxD9OJjkfMbWzj/HnV1Zw7PLXNKclYG8REW8QEf63yK6h9TCTS6f4T3zjNCafugcBO+T49/I4bcPOONcEzfz4juqFb93Mvdet/vv5I+Le0zfDnCnHkJB2c4ffyGfPfC/a9eaTf8mLbp5z8paHiCn4pzdz8uER8ZURsRSh2m5C8hk954rJIVRfPUV8W/xienIpBOyxI+K1IuK1N2P3MhO21hCmpD+f8DWmX7UxOf3TAla9+UM7YozInTYmLlG16jMXnnIaM4EexoI2RT2+kSXZB1/rjf6+5tQOc9G3+TgRwY/JGm5uM9cxze2qydHHN5s0RNZm/VePaEHzXkDLL09z3/r8D0udnn4XwMM/s8hSkl/fmXe4TxTxrbz6JhL7ewfr3PYY/zAH06dtHnqxzdr5MzMvIoO+xyIftNlPHlj9t7b53l5yij63ZtrPzA375ddOvmoHaP7lFXHNBMxH9UnT5F0aOR/aZ0z5oxCVOdmFgHGi/OSJFC21o/wuid7br7DPP0ZEMLlxGG9t/dvq9FG/y4a0/L+Fhh27/FFc6udaAmbDsFj64IsgCvq3Vt5hswh+XvWSBcgmVN96MGqCPMb470vAbOA/WvXvByeHXeuFDfMDZyI/yyu+EafmGmvf20MHQuVt8g4J2zbvJGD/e8Y6WHxCRNx5YCL/9YaU3W+avw6aPenNH4SZJhX2DhpPslCXb80NAp++8NwuBMx6897TPOQPNSIOstwQEASkdER8m/rKYX1UkD4ExPc/h28pay0B801RBtQC3/cYbdzAc+aSw3ctX9a4V9S/0fq/e/UH85BPGRKH9PIjWxIKhXfcrBm/vfTgbfv9WgkY+7lIuMdfOaBOU7QDcyeptQTMCVICvCda2Q6P0xy85WZD++qFdy2mTqNvukMdXnGag9cPzbx/7PJ3bPaj/LvqRKxIkwWBNqDg7SQmYeHoglza4kT9stN//Ou02NxnysVTnhkhYMca/30JmBNvfe2M/09baHEdTS5rw3Mtl3f5kdAk0xyMiI1efXNZupOA/Q+KHz45XY/gWj/DtCSJcA/j3vx5wWkzXes3+THNVU5tO9cSMNotiUNbH6jR/j9i6seSFlBuP5q84rIwWn55ThtpzbZpc9cSMESlJjTGTiqc31vbuIXnWX5o5Iv4lh0wkepW2jWBv6mDPmfvl7sAABpWSURBVCvKyIGglCc/4ysMBg8cuLs3V9w1EjCmRqp4Kvt6gvnb92+clanR/fbcE2kpkXPlWSd0m28va/AaAsZkoqz6JOnEpB3++TiRHyRRpB1VO82A018Rm7/Nkvp7Tpx2a5Ww52i0aCMQSmTSvW80Yz4Y9SAGdT0cPOHhf1s5dvm7fh0tAaPpovH6isYMyY8LMRsV86H2tSgpLZysZdkvskTAjj3+xYxQzAp1/5gDfr/6g/Gvx5Zv3M9Vv1uQ3WtacqchSEi9OWqeiMZyOm+/le+b5qyy/KYeBw6aVUTY3Pct0U624fBMnJ8/MyhJwO4AhoYJgamFBoYGg8nImCIQL7K5eub/dgjwnPakR8D4UIqkfczJ9MbULM2BjdO6xfz3xpP5sx02RIR5uSdrCVgbUKLMP5rmoz5bz1gsmF9p7QTGuJanlm0aHc/Jr8XKUJvizF19MHdFPCMjyKADnMMCM1tbzwM2hSHIc7KGgFmfmeqNTREk7022lL/rTw6T/GVrUY/6WrG32AOK0NAxDRtzIp8Y3OxR9jNEjoadK0h7IGP+NGZXcz3StREwmg8Tovb38N/8Un6tM7lsLj6i9uoaH5W/t7KGgLVEAJnii2ZRmxPk0ams3qy+flr4eu8gkhYkC0oRKmPmyG0nM6TOx/ZM1XsyLTM91XLs8rdAsfhTS8CoyZmRW/8mC2rreLqtcCf6Gge+UXykzJGPrF5cImCnGH/NsYm0/otLaShoO2r/Pz4uDhwIumADp97WvGIu2PgR+FosyAiWUzqskLlWkHtaRZtmkWL27I1FErA7SBVtTn2QpA1/p43ml5mxFWuAg0arObKmOHjW0iNgJc0KYmLznPMPpVVjnkfUiiAazHntBd9+X0PAEH0beX045Ddl/Z7TaDnAIlw1UTF3bfT1IaPuv8PGx1d/cCinefqVLQsDMuadWuvOFO/w3Du4KopVoU5dI6q69qeqq2MGbfcGkc0tUdrSxOGf7I/GuxZrZ21qLL+16yF/Sn1GomCBMPdMsdYlxKxYEkp55u/nDrf0wh+8NgImP0p9InEKt9ksOYt+8bSJlOG2wCEnrT/YKAFzKnVSrU8zThK0KEvSLg5Oe/wgeuphanSmnyL66ZQ2csJAwjj9lzliE64XC2Ueu/wlLLb9PkfALN4WFwEIxOJAjT+SGd67Fphy0kVszAN4riFgpxp//duFgPHX6mXC/rjmtNvib35wwm7XFYcLhMHmPSetJtVm7STd27STgEXQLop8K4JEcXjedo0MJ27ayzp/lE3doaSWORO29YO25w8WPsyeZm5Og7KGgJl//IuKWH99x9bSbeLA6rulfSmybS47lCGmRaSvQSRGxCGEH1URc7X12xopp33mfRofU7/TVNMaHUNoNp++KnjuoNqOX3mldcbvtdF4INTlhg7POKBxWbgKuSYCZvO0ydZaHf4sNBVL4iO3adcnr96CMkrAnAYRBBPPPxPRwjYSdeh5J7JamAzrqLXyG/MaX48iTlgW6VGR6Z3AzQJm0a81Z8cuf7SdvefmCJhnaS8/tHpJP5HzJWm1Z/UivoaAnWr89edQBMzmi6hKubFNaBXa9B6CXWwg2wQpaAkaItgzr187AWvN4HAdjehtv1nfszWl1tLMEbBR7QTCQ+NZazTnzH5rCBgTP9JZ1k2kgNlzRFrT5Y/PmEuV1ZoGX37S0I7Uw7wPY2umf9xMrJ37Suvsbtxo3UYO07vUzd3AvlIEIWtNrH7rETDO9L7n3uGpbQuNOutKLSJNexapXfpx1u9cEwFzomlDdTH8kfQSBpFJjs3aQsUW77+/vRndUQLWTgrjsBQxU7/D56G+7f5endwwnm/D7fkuMfccSo5d/j7t3EbAqNgtEmX+2yxob5bSH0hdoM9F6oViDQE71fir51AEbIREqa81rfqbE23P9FjjwGSF3NUmNWYfpL+Vaydg7QGCT2ebFX3u26EtdxCzjpV/vhU3RRTpETDaJoSKNnNEWquBQ2Ob3kA5awjYPt+NKLvatOWbL7dYtOXa/Ot1UrBTnbZkpP+HfobPLlNrEVaY0QjQXdqCMPP7K+Lb7F1b1CNgI9qvUm7P3PluU8TqLu2+qHeuiYDx22GvLsKeX0d6HGLgdiVga+tuo1RoF2yQrTgV/0TzRwtRnUJhbd3188cuf5+2bSNgyrUJ1b5fcgltu/uMEywtEDMOEeVT+y/sQ8DW9nN0/JV7KALGrCLH0ZLQKEsRUGTNRtGaPebqvHYCRttdmw1pd+pbHpbGaOn3HgGT6+4Nl16sfu8lDEXgWnPhPgRsRXMe5RQuAKQIl425VBptpnnfG3eLnm/dmjbs86xvTxBWEQfIOofYPmX33hWggQjV4nDUmrh7BExOwRFrTimbprAmw4eez4fG5mDlXRMB4/BXO2IeI4LkVASsNfPwC6tzUJUJYnwRzfp0TNMmmslGue+N98cuf5+JvkTAOBLT1hRxwqy1W23dzC+iKIu0RPaUBGx0/LX1UATMYj+Sp0cgQh20Ip+YdBQjQgtTJ1S925Qupn332gkYDXxt3uPsXN/CMIL1tmd6BGwpoq8tz5hbD2vpmfJORcBc01NH8dHozaX/aTX7+sCMyH8YiduWC3Jf7OfebwmYb2VNmoe17XKgF6xVi4TdbfR/O340pHw315hG+SHWudbWBkat7dvZPH9NBEyIMkfgIpKf1if1QwzKrgSMdkUEpMgcfi8yhHPUtkDUfmeljSKa6iijOQLmeWYcptLatFPKsaGy9dMGcdbf5YR37PJ3HZclAkaTxZRbQqEtHMy6cxjwGXFLARFx5VnZtovsQ8COOf6HImDMHSPzo81L1WbR3zaereknCdijo0Vr87fNn2mmaKgOJT0CtjZdC3+hOtWJtslFWCfn9bd9CJjs/DZuJm5+cbApN3u0WPCXqnN6bSNg1lbztg1OUKacgQIeaMuZx2l61riP7DpGrfsDEi7FzLGkzXCPeCFgrbTjt4ubC4uMPI1FKAYEx916uSYChmzUUXyjjtdrJsFaAs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requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility"><div xmlns="http://www.w3.org/1999/xhtml" style="display: flex; align-items: unsafe center; justify-content: unsafe flex-start; width: 412px; height: 1px; padding-top: 595px; margin-left: 388px;"><div style="box-sizing: border-box; font-size: 0; text-align: left; color: #000000; "><div style="display: inline-block; font-size: 12px; font-family: &quot;Helvetica&quot;; color: light-dark(#000000, #ffffff); line-height: 1.2; pointer-events: all; white-space: normal; word-wrap: normal; ">cblas实现<br /><br />tensorfunc/elementwise.hpp<div><br />template&lt;T&gt;<br />void matmul_cblas(const Tensor&lt;T&gt; &amp;a, const Tensor&lt;T&gt; &amp;b, Tensor&lt;T&gt; &amp;c)<br /><br /></div></div></div></div></foreignObject><image x="388" y="545" width="412" height="104" 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"><div>cblas对double的特化<br /><br /></div><div><div>template &lt;&gt;</div><div><span style="background-color: transparent;">void matmul&lt;double&gt;(const Tensor&lt;double&gt; &amp;a, const Tensor&lt;double&gt; &amp;b, Tensor&lt;double&gt; &amp;c)</span></div></div></div></div></div></foreignObject><image x="138" y="771.5" width="532" height="61" 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data-cell-id="Az3iGQj9nxM2931kqFIP-17"><g><path d="M 990 410 L 990 460 L 1100 460 L 1100 503.63" fill="none" stroke="#000000" stroke-miterlimit="10" pointer-events="stroke" style="stroke: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));"/><path d="M 1100 508.88 L 1096.5 501.88 L 1100 503.63 L 1103.5 501.88 Z" fill="#000000" stroke="#000000" stroke-miterlimit="10" pointer-events="all" style="fill: light-dark(rgb(0, 0, 0), rgb(255, 255, 255)); stroke: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));"/></g></g><g data-cell-id="Az3iGQj9nxM2931kqFIP-12"><g><rect x="890" y="350" width="200" height="60" rx="9" ry="9" fill="#ffffff" stroke="#000000" pointer-events="all" style="fill: light-dark(#ffffff, var(--ge-dark-color, #121212)); stroke: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));"/></g><g><g transform="translate(-0.5 -0.5)"><switch><foreignObject style="overflow: visible; text-align: left;" pointer-events="none" width="100%" height="100%" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility"><div xmlns="http://www.w3.org/1999/xhtml" style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 198px; height: 1px; padding-top: 380px; margin-left: 891px;"><div style="box-sizing: border-box; font-size: 0; text-align: center; color: #000000; "><div style="display: inline-block; font-size: 12px; font-family: &quot;Helvetica&quot;; color: light-dark(#000000, #ffffff); line-height: 1.2; pointer-events: all; white-space: normal; word-wrap: normal; "><div><span style="background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));">某auther a的实现<br />template &lt;T &gt;</span></div><div><span style="background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));">class Matmul_authora:Op</span></div></div></div></div></foreignObject><image x="891" y="359" width="198" height="46" 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"/></switch></g></g></g><g 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style="background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));">默认的matmul</span></div><div><span style="background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));">会选其中一个作为默认<br />template &lt;T &gt;</span></div><div><span style="background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));">class Matmul:Op</span></div></div></div></div></foreignObject><image x="514" y="351.5" width="152" height="61" 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requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility"><div xmlns="http://www.w3.org/1999/xhtml" style="display: flex; align-items: unsafe center; justify-content: unsafe center; width: 458px; height: 1px; padding-top: 595px; margin-left: 871px;"><div style="box-sizing: border-box; font-size: 0; text-align: center; color: #000000; "><div style="display: inline-block; font-size: 12px; font-family: &quot;Helvetica&quot;; color: light-dark(#000000, #ffffff); line-height: 1.2; pointer-events: all; white-space: normal; word-wrap: normal; "><span style="background-color: transparent;"><font color="rgba(0, 0, 0, 0)" style="color: light-dark(rgba(0, 0, 0, 0), rgb(237, 237, 237));">某auther a的实现</font><br /><br /><div style="">tensorfunc/elementwise.hpp</div><div style=""><br /></div><div style="">template&lt;T&gt;</div><div style="">void matmul_authora(const Tensor&lt;T&gt; &amp;a, const Tensor&lt;T&gt; &amp;b, Tensor&lt;T&gt; &amp;c)</div><div style="color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));"><br /></div></span></div></div></div></foreignObject><image x="871" y="545" width="458" height="104" 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AgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBBYTEBAuRi1jggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQEFAaAwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQILCYgoFyMWkcECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECAgojQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBBYTEFAuRq0jAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQElMYAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKLCQgoF6PWEQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECAkpjgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBxQQElItR64gAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQGlMUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwGICAsrFqHVEgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgICA0hggQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGAxAQHlYtQ6IkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBAQGkMECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECCwmICAcjFqHREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgIKA0BggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQWExAQLkYtY4IECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBBQGgMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECCwmIKBcjFpHBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgIKI0BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQWExBQLkatIwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEBJTGAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECiwkIKBej1hEBAgQIECBAgACBnQjkd/pbVdXXVdVnVtWlqip/986qemlV3XgnvTro9avqOT2Gu1XVA/bA8mNVde9ev09r7vvN9nAeuiRwWoE/rKpr9Q7y3VX1oNMe9Bzd/x+q6pK9a7t5VT31HL1Wl0WAAAECBAgQIHCOCggoz9Eb67IIECBAgAABAgSOQuC8VfWEqrrliqt9W1V91FFILH+R962qe/a6vXpzH165/GmUgHIP6LrciYCAcjqrgHK6lS0JECBAgAABAgQOVEBAeaA3xmkRIECAAAECBAgQmCBw96q6/5rtBJQTEE+4ycuq6hrtvnH+6Kr60AmPdZrdBJSn0bPvIQkIKKffDQHldCtbEiBAgAABAgQIHKiAgPJAb4zTIkCAAAECBAiMCNyuqq7U/n2mvXsHpaMXeENVXaGnkIDs0VX1gqp6b1VdpKp+/uiVtg9w6apKKNn9eyrmmWJ3H01AuQ/1w+0zY/L7qirV1fmMOEtTpAoop48rAeV0K1sSIECAAAECBAgcqICA8kBvjNMiQIAAAQIECIwIJBC5TPv3CSoTTmnHK/AxVfWWweV/T1U98HhJFrvyr66qx/R6u21VPWqx3v9rRwLKPcEfaLdXq6rXtOf211V1xQM9z7HTumhVna/3g/c00yi/7wyd/5KnKqBcUltfBAgQIECAAAECOxEQUO6E1UEJECBAgAABAlsXuEpVva53VAHl1onP3AE/q6peMjjrrDeZIFvbrcCvVlUqmruW6V3futsuVx5dQLkn+APt9g5V9bD23M5aQHmgpAd5WgLKg7wtTooAAQIECBAgQGCOgIByjpZtCRAgQIAAAQL7E8j0kY/sdS+g3N+9OJSeP7+qnts7mQ8Mqo8O5TzPxfNI5WoqWNNeVVWftseLFFDuEf8Au/7lqrp9e14CygO8QVs6JQHlliAdhgABAgQIECBAYH8CAsr92euZAAECBAgQIDBHIOsIfktvBwHlHL1zc9vrV9VzepeWqRAvdG5e6kFd1adW1Z/0zuh/VtVd93iGAso94h9g139aVZ/UnpeA8gBv0JZOSUC5JUiHIUCAAAECBAgQ2J+AgHJ/9nomQIAAAQIECMwReHlVXb23g4Byjt65ua2Acj/3NWHkT/a6/pKq+p39nMp/9Cqg3CP+gXX9EVX1T1XV/TtfQHlgN2iLpyOg3CKmQxEgQIAAAQIECOxHQEC5H3e9EiBAgAABAgQ2CZyvqt6/aaPez185CDDHds0xv7iqEqhct6ouW1WXqqp/r6q/r6pMW5kpQ5/RbPfCGX3ft6ru2dv+7oMA58rtlIM3qKqPr6o8RH9vVf1jVb2iqp5ZVY+oqnfP6DObfkpV3bqqshZjKoY+sqou1l7Pu6rqDVX1mjY8ekpT5fYvM4+fzc9TVV9YVTesqs+tqqzxGLPzt0FAriHhcSoZn9o6TunmZlWVc+rakxuLW7R/yHXco6pu3rgkiE5VZPfzeH36lA7abbIeZc457YrNuomvH+z736vqzROPl+P87WDbVUF5xlnua9ee3qyXedPeny/eruF4k/Y+xvRDVfX2qvqLdhw+tKr+ZuK5DTfLmPuydqxn/dbLtI45/l+24/tRg0rIqV0ljMx4SMs4zv3K/25qu3r9nTagzD3MWMs15fV56fZ1lKArIUiqRXMvM74z3qe0CzTvCano7Vpe2xfp/Tl93LGqcv/z2v3wqnpP+5r9g6rKvf/jFR19Xjt2rlNVGb/da/HP2veuX6iqvP5P0j67qm5cVXmvulxrkWvJ++PfNePpRa1FxkD/+tb1tev3xy9q3s+fNeNif7qZLjyvj9zzrt27qnKeU9qLqypOXcvYz3v6FI/PGXy25L0n97Brf9jcw2v1/vzdzbEfNOGklvgsyGnsYnxMuLzRTYYBZcbtb7db5nPrf7Sfj59ZVVkjN+P4HVX1pqrKayyfuateY/0Os9Zu1tztWsZ+fofo2tWa1+3XV1Velx9XVXlvz+s9nz35vPpfVfWEieMjn0/5nOpaXuN5zaXl/L+qOecvbX/XyedRXvt5bWYc5bwe11zzq08Kaj8CBAgQIECAAIHlBQSUy5vrkQABAgQIECAwRWDbAeVXtJVWeYA4pT2/nbbyjyZsnHCy/3D7R5qw6QfbcO9Hm+Dhe6vqvBuOk4eZXzlYU3HVLnkgmofseTA/tSVs+fEmeMl0nAnCprQEhvepqvQ3pf1rE14+uLV454YdhqFCAoaEennomnA4oVG/nbWAchhEPK8JcbNmZtqXN9eZECnB3rqWwCNjJ/d6akvQmfGX8GvTmMsxE8Zn6uRUmk1pH9YG091Uut1927TvLl9/Jw0os4ZmrBIuTLFK6JfK0Qe0YeKma879S6jQtfTxwWbNzltV1a+0oeSqY+Q1+hNtUN9tk/Hy8DZ4Xtd3Aou8dud8yeKaVXX/qvqCTRfV/jxffkio99gJ2+/6/fEkAeXrqupne+c+DJ1WXVaC5LyXDsdLXtt5jW9qQ4usl/mNvZ3mBpRLfRbscnxsMlv182FAmS/SPLsJAz+5HZdT1sXNlzTutOH1nKDzN3sn8ZI2qE04mM/Tb+tV7K4614y39JPzW9fyZYhMod21fKklX25JaP1rI5+Lw2Pl/SWfLfmSVD6PNQIECBAgQIAAgQMXEFAe+A1yegQIECBAgMDRCmwroMyD5IRm33wCyVRW3r6q8hBzXbtLG1p02yTAuFu739fO6PffmgqQa7cViat2S5VGKrlSKXmS9lttVUkeZK5q+R05YUWu4STtVW0VVipSV7VUsKaKpWv5/6nQTFVlqiuH7awFlKnaeWnvIvL/85D/m5pqnl+c8EC7f/3f3o7hTfciVWG/O+Eh9vA4qapMJV/CkU0tlUNdlVK2zRjJeF/Vlnj9nSSgvEb74D9V1HNbnOIVt3UtgeZFexvk/ydEeeLEQDS7fmdV/Uz7ev/9ppL4MyaebKqlE9S8ccL2qRB7WPMFjrznzm0JQ+7cBq+r9t31++NJAsqsaZxK5a7FK1WQH9gAkKrLVMQNW76QkrB7U0slbr6I0bXbNBXUv9H785yAconPgpzarsfHJrNVPx8GlNdrg8bfa+/l1OPmMzEh5KqWkDCfuV3LGqepWH18+1k6tZ/MCHHL5nPgaWt2SPiZGRG6li+z5DWca+pXYG/qM0FozntKZfumY/k5AQIECBAgQIDADgUElDvEdWgCBAgQIECAwCkFuqk5Mx1iKgv6LVPNZaq2ruXh39j0i5maLQ9Y+y1TFeaBfKZzzZSdqXK6QjvFY7a9cG/jVDKlsjEPI1e1hAj9afgSiOahYiqg0lKdlineMg1tQo1U4SQ8+JrBdG7Z9mWDB5T9PvMAPdM4di75Wa471R15IJnp4RKK5HoypV0CsZx7pmrstx9u/vBDa64nVSHfM/h5jvuYdhq5uGc6ykwbmsqOXEce2PZbKkYyFeuqaWvzEDYPY7uW607Q0Q/JEhbknqZqL9eXqrBLttPaZb9Mf9evbEnFWn96vGyTY6SiLG3JKV5z7Zner2uZdi9VjamyShCUCtOc+wvaqTNzzzIVa64x1Zf9FuuMz+46xm5dXiPpL1WB/ZbpAVMlmSkAM1YyneSN2ukI+9vlfLLG63AK3GFfP1VVmXaya9kn43pVW+L1NzegTIVSqgv74WHOP055nec1lvF+ifa1mPHdDw2ybaY1zpcJ8qWCVS2v9bxmu5aKroSMqYRMeP/o9p7l/l6+DUmyrmq//XP7swRqOY+0vG8lVMl7TMZNXnvfMPI6z+t10xcksl+qOfst1/TINsBNpWTGTd5PEgDdoZl+9mMH2/9cW0W2ymHX748xyL1Ky7TGCU27lnGf98F+S2VZ7u9wOs18pvTfk8aupz/+897WfVbk/Snh87qWiruMiS5oyntTKp4z7WjXpgaUS30WLDE+NrCt/PEwoMwUzRnLeY/L53ZezwmE83kV+7w35osFCbSHz4EybsaC53Q+/FJGPs9TSZ3P+bT8DpGpVfMZls+rfHmo+3zPe3q/5bX+iWu+OJD367yvdC2fiamGzPt/rimVvrmmv2qncs/rMueXz43hFww2vS5P6m4/AgQIECBAgACBLQoIKLeI6VAECBAgQIAAgR0JzFn7r38KCecyLVq/JSjMQ/ZVa7TlIWYe/vfXGMuD0KwTl/8da98xmIYzD6sTnmUazEz9msqasfXJ8iAzlYHDaRUThuRh57ClWq0LPfOzTAubteJS0bGq5eF99klI0LU8oM8Dz7FANwFJzr//e3KqG2O5qiIyVXLf305r2z+PPMBN9d9YSyVYf/2vXEOu+eva4CABaSpNunVI81B/OGVdzjVrX3Ytxt3Uo2N9LhlQJozqB3cJenL+eXCd68oYzP0ba3n4fdfBD/LnBMerWsZ11iPtWoKtr25DprF9so7Zr7fhb/fzBF+bpvhM0JprSMv55wH5qimDl3r9zQko83pICNWf/jHhbCqV+muGDs1SgZ0pQfshwKagP1OB9qfxTbiQ6rncq1Rmj60J+31NdWWmhe63hLyZhjbBYQLH7D9seX2kyqq/fmECtHyJYNVUj5nuOqF2vzIrr8OMjaxTOtby+srrOuO33/I+1H8t9n+21Ptj+hyOuYRJwy8tdOf2S21Fc/fnTa+xbNdfAzdhWO5jWoKnhIbrAut8JuQLCV1LSJ5K8n6bGlAu8Vmw1PhYMdQ2/vUwoMz4y/tX3mtTmdqvYO8fLFWMeQ31p+kdrhHc3364nnB+d8jnUkLxTLmcKV7HvohzwfaLS8PZG/K+m7Ukx1rGRP8LKhm/+azOtWZq6FXTCCeET5VnXu9dSwCeL8pkHWqNAAECBAgQIEDgQAUElAd6Y5wWAQIECBAgQKAncJKAMg8HU2HUf2CXiopMH7puetN0mwfNCZdS1dS1hBN50D7W8oCyv55Zt82mACPbpcLizwfBxz3aKVaHfSU47AdIqa5IZdWUliA0wUPXEng8YmT5f0P7AAAgAElEQVTHhIb9aST/d1uBlMBrU8vUpakS7FoekObh6liwOQzw3toGJXkQm4etY+HpsP9DDihT1ZapboctU7CmiqcLXsdME4IlKPr43g8zreqNV9yArH+XcLHfUiWUwGpdyxjIA/Z+S2Cyau3CVM6lIq1rqQBMoDzWlnz9zQkoU/2ZKrj+GM046k83vMosoXk/JE4YlfGdsTvWhgFKtkk/eQ1n+uixltDktU0FY6brHbaEYcP71d8mlVepwOq3XFuqNsfa8D0hr9NUxK76Ikb/GMN9M9ZXrfm31Ptjzm9OQJlAvx/2poIulXSrWqq3U8XcPUNIkBTbbp3RTFG9bhzdq13Ttzv+2LSwUwPKJT4Llhofa8jX/mjs9ZXZETJ987rpxXPQfG5m7d2uJcTPzAZjvxusmkI4X2jIe/K6NZ3P037xob9edD4X80WonOuwZfwMQ+ucU97jN71HZcrf4Wt93ZeETupuPwIECBAgQIAAgS0KCCi3iOlQBAgQIECAAIEdCZwkoExwkmkKu5bquiu107FNOc1UODy2t2Gm5ku12Fgl5NgD+DywT9C3aU2zdDF82LyqwiLTpvanjMuUi/2KnHXXlYrQVF+luiT/pVox1Rn9Npx2NT8brpG2ro+EwTl2pmTt2r3bKtLhfqsCvFSrPGvKDWpCubMWUGbsJHTsT0286lJ/oAlCEnB3LSFYxt9Yy1SeqZbsWippslbeppZ/CyUMS6VU17LeYb/atn+M4XSPt12zPuuSr7+pAeXc6x36Zf9M/3rV3g8y/WIqXsfaWICS8CTTw65rmS56eA/WTf3cP1amm+xPAZ33pkz1OGwJVjNNZAKUrmUdvlSPT2mZRjP79ytKV02RutT7Y857TkCZL6LkHnWVdKl4zZSrqwKnVLB160WmYu7i7ZTUWW82LdWv91mDl/e1flCVatc/Gmw/NaDc9WfBkuNjynib+vqa+nkV++Gau5l6tb8uadfnWECZ0DDb5ws8m9pYXwlH+1MRd8cYCyizBnbea6e0fAkrU3h3Le8H+WLJuhB1ynFtQ4AAAQIECBAgsCMBAeWOYB2WAAECBAgQILBFgZMElKkey7SDXcs0iQlYprY8eE8olKqZruUB9RNHDjD2AP6b2nUup/Q3XPNx1VSbqbTshyMJpYZT2E7pb9U2w/UF88A+oeOUkLU75pMGVUipyOwe4Pf7HQsos85opqSb2s5aQDllTcDu2hMw9tdEywPxjMnhg+aEwQnPU7HYtYTrCbmntATIqehMxWrCmoRnY9XAOVaO+RW9gyYwXVU9uOTrb2pAmQq34RSJ+dJCQvWp7buaYOqBvY3XVQ4OA8pVr4Vh36lCTjVyv2Wq5G7Nu3XnOvyyQ6aXTqXesGVK5vysawkbE1TPCTKGr/VVVeZLvT/mWuYElNl+GAimCnSs8jnbJuj91hYs04nm86VfiZfq6KyDONayBmLWmuzWrMzrLe+tw4q9qQHlrj8LlhwfU197w+2Gr6+sKZoxvGmGhBwn92E49XGqFMemUB0LKDNdc9Z+nNryHpPQt2sJuhOmDttYQJmpgYeV0av6HVszNJ+1pnmdeqdsR4AAAQIECBBYWEBAuTC47ggQIECAAAECJxCYG1CmIiZTkvbXVssac2Nrt607nce1a9N126RSKhVTwzb2AP5yE6aZ646Ttc/6VVirgoysXZgwqWtZDzDTuiWg2kZLNWYehnYt4We/Mm9KH3mA36/YyjSYWWtzuDbbWECZoCkPxqe2sxZQpoI1IeWUNlbNmikIh2unZprJ4ZSsCT4yFeU2WyrtsuZkKszS1oXJS7/+pgaU39usUXq/Hkqm0e3W05xqlbVo+2u+JtDLfRlbT3IYoOQLAHeZ0NEwnM4uCe5jvqkNq2lX9TmstErQlimj57RUgfWnmM7anv21e7tjLfX+mP7mBpQJafvvOasqTnPsVM+mai6tC37z/ti9plNVmarMsembM21nf4rOVVXyUwPKXX8WLDk+5oy5/rbD19fcMZz30ov2Dpgp0J8ycjJjAWW+qPDTM048X5C63YT3nmFAmS8JXXpi6JrDj62zfJLffWZcmk0JECBAgAABAgROIyCgPI2efQkQIECAAAECywjMDSiH6xvmLDO1ZqbFm9PuOZiedFWFzPABfMKh/tqXm/ochnqpdkiAN2zDh+/5eaZp/aE2fB1WhGzqt//zhErv7FX45Ge5/n6gM+V4WV8vVVz9lqluXzH4u7GAMuu/9asGN/V31gLKhGH9cGvd9V1tpOolD6qH6wOmsi7TsnYtYfUlNsGd4OdZF7Q/HWWqfhOsj7WlX39TA8pUP9+yd8JzKlq73fLvxwRRF+odZ9VUy8MA5Q7Nura/MsH+C6sq7zX9lgrZYcg/dqiHNuuEfmPvB/myQN6fhi0VfP1xMqfiuzvWMBx/b/tlhOH6mku9P+a85gaUuXfP7+E8flAl3P1o+BnUrfGaL6L0p2xeVe2W6V9/tNdPKt0SWg3b1IByl58FOaclx8eEl8ToJsPXVyqPM/6ntqwBmffUrq2aHnYsoNy03ujwHFKpnvepriXETvX7cHaCYUCZSvT+tMCbri3vT+8ZVNRnuvD+2Nt0DD8nQIAAAQIECBBYUEBAuSC2rggQIECAAAECJxSYG1Am6Mr0g/120zZYmHMKCQryYLlrb2mmbc0D6WEbPoDP9HuptJravrmqHtLbeFVAmRDx6U3FXNZpHLaEA5kaNlPPZfrBV86crvGyI9N1Tl3Pq38ulx9Z2zIVYVkXsd/GAso5AV6OddYCyozjVCFOaanUSsVWv40FlMNpeTNFa9Y53HYbPmDP9IYZa2Nt6dff1IAyNlfvnXAqqvsVgFPNsiZc/31gVbg3DFCmrvE4HNcJRPvV4OvOM+va3am3wVhAmbUTM91ov+X+DitxN3lk+utuTcZu27Evgiz1/phzmBtQZtrkhHGpgk1btdZrv1Iy4VIqJXNf0jK1aCrX0u7VhEM/PgKXwDmfJ137mBXrIU8NKHf5WbD0+Ng0zlb9fPj6unVV/eaMg+Ve53Ova3MCylX3b1X3X9NMP/vowQ/z+kmFZL8NA8pfGryep1xe1sXsryu8aurlKceyDQECBAgQIECAwI4FBJQ7BnZ4AgQIECBAgMAWBOYGlJlKbaw65bSnkgrF/pRw3fGGD+Bf1gRymaJzapsaUOZ46T+VX5mObl3LQ/dUXyTQTFXipmlgP6Gq/mJwwK5KaOp1ZLs8uB/2lYezjx0cZCygXLem4dg5nLWAMlPdjk0FOnZtUwPKVOT111bNGmpZS23bLcdN1VBawvCPbP93rJ+lX39TA8p+kLRNn7s1r8sHjBxwGKDcuKp+e0LHw3Gd13I3te6m3acElFkLb866m5v67P88lbYvHeyw5Pvj3IAypzpcSzPvhQl5+u1hTaVkKmDTEuRmytauPaKqbtv+4ZnNupY3Gux7gTYQTsVc2rrpkacGlDnOrj4Llh4fc8ZXf9vh62vsizDrjn2agDLB9py1mfN5/eTBySTUzgwI/TYMKFP5mArIOS1TxGfWgq7NXX97Tl+2JUCAAAECBAgQOKWAgPKUgHYnQIAAAQIECCwgMDeg/I6Z60PNuYSxB5NLPoDvzjUPxFP1lIfpm1qmhsxD+KyblurMsTacwjPbZArHPDCf084/MhVlprDtV4jmeGMBZSp3Ms3s1Cag/L8VQ6nM61oCsARh22wJVhOS5d6mPWtFFW/X59Kvv6kBZaqVEqxuu60KEQ41oBybgndbJqkSHE7xvOT740kCyuEU25ki95cHIH9VVVdq/y4VkqmU7FqCywSYafkCQsZYf5rbBPsJ+Lv2E800nFkPdazNCSi7/bf9WbD0+Djp2NtXQPm+wRTPU85/bJrYfAYOP4+HAeVJplkfHiNVzqkO1QgQIECAAAECBA5QQEB5gDfFKREgQIAAAQIEBgJzA8rhA+dtgo6FaEs+gB9eSyp58vAxU9j2p3Ubu+ZUfGRNyVRkfHCwQSo+XzL4u1Xrqa3zTLVQHuD2WypEf3Hwd2MB5ZwKwxxOQPn/B5SbwsOTvBaGU7auqhjsjr30629qQDlcc+4kFmP7PLAJ1r9n5AeHGlCOrW+6LYuxdWSXfH88SUB5lcH6xI9spm1NFXDXhhWFqZBMpWTXMq3ta3t/vnbzJYEX9/78/e2XQ7q/ukE7DfeY+UkCyu442/osWHp8nHTs7SugzBqPF5550jccmRI708BnOvh+G4aLCbITaM9pL2j6ymd31x7XTn085xi2JUCAAAECBAgQWEhAQLkQtG4IECBAgAABAqcQmBtQDtd7ShiXyscPneIc1u265AP4deeRCp9UauS/L6iqrFk41sbWpRs+ZM9+eaiatdPmtFQPDdfV+qqq+vXBQQSU61VPOsVrHk5fb84Nm7BtxktCx659ejtN5apdl379TQ0oh2uz/eAgOJpAMWuTQw0oP7aq3jy4kkwL3K/ym3WhGzZe8v3xJAFlTv8vq+rK7XVk2s1uTcn8VaZQzlTKaamMzHvccKrmv62qfE6lDUOlVJTm/Tgt04RfYqTKvCM8TUDZvw2n+SxYenycdKztK6DM+Z5n5u8TY1O8Zh3brGvdb8OA8oebH/7QTKDhFK+p7s06uRoBAgQIECBAgMABCggoD/CmOCUCBAgQIECAwEBgbkCZasKnDo7x4VX1rh3JLvkAfuol5AHqtZogItMVZgrABLT9NqziuUxVvW2wzVdU1eOndthulwfjmQ6x327SnMszBn93FgPKVKgO16bL9Y6t53fa65saUKZ677t6tllHNPtus72uqlJllpYxkrVC14X9S7/+pgaUqRDurw37U817wl22CTU41qEGlBcZCdgSoDxlRxZLvj+eNKAcrt2Zqsk3th6Paiosv7b9/6mMTIXksOV9sptGM+91ec9LG64/GeN16wdvK6Dsn9/cz4Klx8dJh90+A8q505EPv7SRa856zf88uPhhQLmqOnud2fCLGA9q+vnukyLbjwABAgQIECBAYLcCAsrd+jo6AQIECBAgQGAbAnMDyqzLmKCm37Ku1qu2cTIjx1jyAfxJLiGhTNYmvGRv5yc2Hrfq/Tm/F7+jqhLkdi1TEyb8mdO+eDD9YfbNlIF/NjjIaQO8HG4bU7xevqreNPECE/gO1+Tcd0A5XO/x/VX1YVWV6Xy30VJVluqyrj26+fPXbTjw0q+/qQHlY5v3hVTzdm34GtiGV/8YhxpQ5hz/pg2au/PNOPrZbQO0x1vy/fGkAWXWcc16rl3LGM9YT0u1aaoK0+5fVfcYcepfY74IkyrLvAY/r6me/P3e9tkuFcmr2i4Cyn5fUz4Llh4fJx12+wwoP6OqXjHjxLNm6X1622et5YScwzYMKJ/c9HOLGf3kczxT0F6wt0++hJEvY2gECBAgQIAAAQIHKCCgPMCb4pQIECBAgAABAgOBuQFlfsfLNKOpUOhapun71R3JLvkA/qSXcPuq+uXezlmP77KDgz2nDf26v84D+1vP7DAPQx/Q2ycP63Mfhmte7iOgTOVfgpl+u+pg/bh1l5u1NB8y2GDfAWXWGsu0rv129ap65cT7lgfZCVO6lsrIfiXtt1TVz/d+nmrcVJSta0u//qYGlKki6j+oH07lOZFs8maHHFAm+OhX8j2iqQT++slXNm/DJd8fTxpQJiz6x6o6b3tpD23eK+5YVcOw/cbtlz2GAvkCTP81d82qemlTaZxphPtTdKYKux/4D4+z64Ay/U35LFhyfMwbTf+59T4DylTUPmbGiWeK4PwO0rVVlbjDgDLV65l+fWrLF27yvtZvq8bs1GPajgABAgQIECBAYIcCAsod4jo0AQIECBAgQGBLAnMDynSbafZu1Ot/09R6pznVJR/A5zwzBV/WMpvThg8uExh2D+O749y3qu7ZO2iqPC5VVanKm9p+r1nLLtPHdi1/zpqYw7aPgPKiI9P8pgqzX+G07jqHD+2z7b4DylRLvn1QMXPvZmrJ3MspbRhAZnrAhDJd+61BBU9C3rdOOPCSr7+pAeVYBexnNkFd1mzbRTvkgDLrJN6vd9EJ5z5mzdqIp/FZ8v3xpAFlru+FTfX357QXmorvVH73v5Swav3J7JLnCjHswv6uaq3/pY8Ekwko17W5AeWuPguWHB8nHVv7DCjzJY18WWNq60+TnX1WrQs5DCizbabXHk6bvqrfBKfDL5CMrXU59bxtR4AAAQIECBAgsGMBAeWOgR2eAAECBAgQILAFgbGActNDu+GD6jxc/tSq+vMZ55Pql+tW1e+0//3Jin2XeAB/5zb4y9RyCRLyX6pEp7ZhJVAepid87LdPqqo/Hfzd7arqkRM7yT2Jb3+9y1TrPHxk/30ElPndPxWdeajftalTW8YvNsNQd98BZa7j1xr3jPeupYIm5/tvE+7b06sqFTZd61fS5T5mnHTT/mb8f/qEY2aTJV9/UwPKnFeCp/4anVOmrO1f8iWaKuPntlWreV949sg6ct32hxxQZsrSjJP+eM56tf0q6023OtM5JwiPwzPbgG/sywxLvD925zocd5m+OV/OmNJS6Zj3/LRUEids/KXmdf/l7d+tqnrrjv2/qurm7R8S7GcN36wxmC8RpGVq11isa1MCyiU+C5YcH1Puzdg2+wwoc1/z3p8vh2xq+b1j+LtDphTOGBm2sYDyR3rjclNfmfUgx+7anPfsTcf2cwIECBAgQIAAgR0ICCh3gOqQBAgQIECAAIEtC2TtxDyM7LdrN8FKHhivahdoprJ742Aa00yF+YVNleD7Jpxf1urKw8L+Wk6r1rFc4gH8cIq4X2im4kz129R2t6r6id7Gz6uqzx/ZOX//ub2/T4hxjQlhaH6vzgPXL+vtmzUtE6RmTaxh20dAmXPIGMi0qF17WVVlOsYEEqtaxkCCqP5+3baHEFCmYjWVqv32o820uj+wYXDk/qfCq/9vorw+cq1p12teL8/vHSNT92YcTWlLvv7mBJTDNTtzLZnqNBXWm9p5qupxg2mP102DfMgBZa41a3DesnfRCaNTUTqcInLMJUFtwrT+9JPf3nzp4cEjGy/x/th1m3V1f6N3Du9uppxO5fS613e3+XC65FR+Z93Sy7QbrFp/stv/rs2XH36y/cPfV9VNq+qPeucyZZxNCSiX+ixYanyEKF+G6H9xIH/3t+0XJFa9LvcZUOacsmZr3k82tYzH/nrPmf3g0is+F8cCynypJiHnptdlfj95eVXlfaprCdwTcGoECBAgQIAAAQIHKiCgPNAb47QIECBAgAABAj2BPLx876DaJ5U7mcpyXUvlSwKFfntWVaUqMA8/V7U8tE8lUX9tvjxkvM2KHZZ4AD82PeVPN1Vy96qqPIRf127WOly4t1GqcPprC3Y/ShiZ4LdfBZmpD3Ptw/Ubu31y3AdV1TcNTuJObQXS2LntK6DMw9rvH5xQgrwEemMtAWsqSBPcvaRZx/SK7cPlbttDCChzLmPTz+Y6f7y53g+MXNiXtJWX/TGe+5yK4a7F5Pt6f84+qZab2pZ6/c0JKBOcJjTqV4LmvSXVg+vWlMuXJH5xEDSkKjvh9itWgBx6QJmK55x7AryuvaF9rWf9xFUtr91U7eZ/u5Yvg6QCe+y9aIn3x+48vqAXsHd/l0rPvO9vaqkmzT3r1i7OZ8AdejttWstv+B6dism8z6almjlj6F82nMSUgHKpz4KlxkdIMg1pql37LV+G6K9nPKTbV0CZe5ixksrYvD/mPXa4xnLONc+a8h78w4MTz9TK/anU+z8eBpQJuhNm/kX7RYrXrhg/+Rz63eaz6sq9n2eK9kwpnGNoBAgQIECAAAECByogoDzQG+O0CBAgQIAAAQIDgVc2FT+pEOhaKmISKOSBbh4W5kFcArfhFK6ZXvTrB8fKA8Zfbx9aJ3RLRWWmO83xU+mQ0KHf3tJWEf7diruy1AP4X23D1f5pZJrXhFMJXRIS5NrOX1WpcEpFSh6qd+uqdfvFMte4am3JPHQdBnaphsz0n5nKMR75PTpT76YKL+te/feBzZMG1VlDun0FlHmQm4e8/QA255Z1KDNF4+ubh84JnlI1lUrSW7dTwibEimOu6wq9i1k11fBpry/3LtOR9lseVA8ribufZ23IhE1dtVf397meVPllbclcQ6a7zJgYVoPmYfZntw/Cu30TVOfv0rJvwsz875y2xOtvTkCZc8+9edEgmMvfJ4B+fPMe8Kq2cutC7TSOn9dO13mxwYVvWuvz0APKXE7eG4dTMCdsSUVp/svad6ngyrVnTGZd33zhoV+llfeRhICZ+nasLfX+mL4TAiaQ6f87PxVrqTjPayDTFWf64+GXKbrz7lcNpvK7m5513fqT3b55T8n7ZDeFdMLa7kshqVTur8276jU0JaDMvkt9FiwxPnI9ZymgzOv6Ib0vumQa1az7mPePjL0E/ql4zPTmw/fZrN971arK++1YGwaUmXY4VZr5PM/vKfmdJ9Nyp5oy4zNfoMlr8o4j72dZR7Q/a8Kc923bEiBAgAABAgQILCQgoFwIWjcECBAgQIAAgVMK3L15WJwp9ta1BEp5wNdvCS8zFduc6VD7++dBYB6+r6pcyLZLPYBPYJLQIFMPnrQl9MoDzYSZ61qqCoeVH1P7zEPUPJxdtwbiaQO8nMv12ylKu/PKA9wYbWpzry2BzW3bh8MJwPOAuWv5/2Nj47TXNzegzPnkXFIpNgyLN3kkVElomXCka3kgnoftXRCV4+Z1MLct8fqbG1DmGlIp/LQ2ZJ97Tdl+XRVUd7yzEFDmXDO2H9Z+sWGuRUK4r2mD+1X7LvX+2PU/XFd1eF6pKB5+QaHb5pvb8Gm4z6b1J7vt8zoZe3+eGhZNDSiX/CzY9fiI3VkKKLP+ZL7Q9NttZf3U10yC/nxm/fGaHYYB5Xe3X1TJl2dS/T21JTDNTBFTpjaeekzbESBAgAABAgQI7EBAQLkDVIckQIAAAQIECOxAIOsAZn3ErqJrrIuxgLLbLlOUpiqwHy6tO81UimWKv0yhuqraodt/yQfwCXyy1lmmv0u10NSW60lQmzBn0/V0x0xolVA41SBTWqaHzBSqw4qssX1PG+DlmCcNKPNvgISUqRRdFVR055yQLtM8dmsUZo2vq/cuKDavHrnA017fSQLKnMZlm6DpPm1lXMbKppaH7Km+GU6vOJyeddN0i5v62eXr7yQBZc43VaepUEqYvmkcdNeX6sp8WSJum9pZCShzHVl7MqHrnC8/PKOpGPyuDV/eyLGXfH9Mf1kXM9MVJ0Qaa+sCylRYp2p02DatP9ltnyk9x9b8y3tGKtc3takBZY6z5GfBLsdHruUsBZQJGlOJm5D4gc108ZnKfNNzpXxu5H1m1XTQ3bgYBpR3afr6qWba4lRxZwaDTDG+ruVLQXkd53edVP1qBAgQIECAAAECBy6w6RfJAz99p0eAAAECBAgQOCqBTJ2XcC5hR6bWTEv1V6oBX9YGM5l+dFXLA908gE8l2PXa6qlMm5lwIlOjZt/XtGuYZSrPVVO6Do+/9AP49B+LrAmY60kYlrWnLt5OKZhKwjxETeiUQCVTL+Z6Uvkxt6WCLlMTpuoyAXBCne7B/z82lalva8OAVA4ltFk1beyw39MGeDneSQPK7lzysDdTPebhb0KNbj3GhJKZti8Vdnko3F837vnt2OmOkSn8Ml3otq/vpAFldx6Z8vjL2rGe10rGeaarfHsbwORBeCpdVz0wTzifB+pdy5qNMTlN29Xr76QBZXctmfY205besJ3GNOM7YyGvo3hlatBM35jxkC9JTK1KOksBZWeRICpfTMhajpnKOOMm7zWplMz7YSqIX9Cs4flbI9Nprxob+3h/zLlnCt68R+Y9q7uXqXbOvVy1BmCuIfc7r59+27T+ZLdtprweTnWb9Y4zFeeUNieg7I631GdB+tvF+Mhxz1JAmc+D/nTPea9OtWI+j/I5ks/hvF4ynWt+L8n61ZmGfWwt4OGYGAaU+X3nf7YbpYIyXxzJ+/pntGMqv7vk8yozPaRy+LErAvYpY882BAgQIECAAAECexAQUO4BXZcECBAgQIAAAQIECBAgQIAAgQMXyJeA8gWcrmVN06wzuYs2DChPW7m+i3N0TAIECBAgQIAAgS0KCCi3iOlQBAgQIECAAAECBAgQIECAAIFzREBAeY7cSJdBgAABAgQIEDhEAQHlId4V50SAAAECBAgQIECAAAECBAgQ2K+AgHK//nonQIAAAQIECJzTAgLKc/r2ujgCBAgQIECAAAECBAgQIECAwIkEBJQnYrMTAQIECBAgQIDAFAEB5RQl2xAgQIAAAQIECBAgQIAAAQIEjktAQHlc99vVEiBAgAABAgQWFRBQLsqtMwIECBAgQIAAAQIECBAgQIDAmRAQUJ6J2+QkCRAgQIAAAQJnU0BAeTbvm7MmQIAAAQIECBAgQIAAAQIECOxSQEC5S13HJkCAAAECBAgcuYCA8sgHgMsnQIAAAQIECBAgQIAAAQIECIwICCgNCwIECBAgQIAAgZ0JCCh3RuvABAgQIECAAAECBAgQIECAAIEzKyCgPLO3zokTIECAAAECBA5fQEB5+PfIGRIgQIAAAQIECBAgQIAAAQIElhYQUC4trj8CBAgQIECAwBEJCCiP6Ga7VAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL7FhBQ7vsO6J8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAEQkIKI/oZrtUAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvsWEFDu+w7onwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMARCQgoj+hmu1QCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC+xYQUO77DuifAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwBEJCCiP6Ga7VAIECBAgQIAAAQIECBAgQJyHjREAACAASURBVIAAAQIECBAgQIAAAQL7FhBQ7vsO6J8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAEQkIKI/oZrtUAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvsWEFDu+w7onwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMARCQgoj+hmu1QCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC+xYQUO77DuifAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwBEJCCiP6Ga7VAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL7FhBQ7vsO6J8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAEQkIKI/oZrtUAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvsWEFDu+w7onwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMARCQgoj+hmu1QCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC+xYQUO77DuifAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwBEJCCiP6Ga7VAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL7FhBQ7vsO6J8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAEQkIKI/oZrtUAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvsWEFDu+w7onwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMARCQgoj+hmu1QCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC+xYQUO77DuifAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwBEJCCiP6Ga7VAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL7FhBQ7vsO6J8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAEQkIKI/oZrtUAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvsWEFDu+w7onwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMARCQgoj+hmu1QCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC+xYQUO77DuifAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwBEJCCiP6Ga7VAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL7FhBQ7vsO6J8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAEQkIKI/oZrtUAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvsWEFDu+w7onwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMARCQgoj+hmu1QCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC+xYQUO77DuifAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwBEJCCiP6Ga7VAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL7FhBQ7vsO6J8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAEQkIKI/oZrtUAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvsWEFDu+w7onwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMARCQgoj+hmu1QCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC+xYQUO77DuifAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwBEJCCiP6Ga7VAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL7FhBQ7vsO6J8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAEQkIKI/oZrtUAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvsWEFDu+w7onwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMARCQgoj+hmu1QCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC+xYQUO77DuifAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwBEJCCiP6Ga7VAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL7FhBQ7vsO6J8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAEQkIKI/oZrtUAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvsWEFDu+w7onwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMARCQgoj+hmu1QCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC+xYQUO77DuifAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwBEJCCiP6Ga7VAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL7FhBQ7vsO6J8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAEQkIKI/oZrtUAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvsWEFDu+w7onwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMARCQgoj+hmu1QCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC+xYQUO77DuifAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwBEJCCiP6Ga7VAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL7FhBQ7vsO6J8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAEQkIKI/oZrtUAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvsWEFDu+w7onwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMARCQgoj+hmu1QCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC+xYQUO77DuifAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwBEJCCiP6Ga7VAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQL7FhBQ7vsO6J8AAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAEQkIKI/oZrtUAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAvsWEFDu+w7onwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMARCQgoj+hmu1QCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC+xYQUO77DuifAAECBAgQIECAAAECuxH4g6q6bu/Qd6uqB+ymK0clQIAAAQIECBAgQIAAAQLTBQSU061sSYAAAQIECBAgQIAAgbMkIKA8S3fLuRIgQIAAAQIECBAgQOCIBASUR3SzXSoBAgQIECBAgAABAkclIKA83Nv9G1V1q4VO755Vdb+F+tINAQIECBAgQIAAAQIEJgkIKCcx2YgAAQIECBAgQIAAgYHA7arqSu3fPaiq3kHo4AQOOaA89vEjoDy4l4sTIkCAAAECBAgQIEBgSQEB5ZLa+iJAgAABAgQIECBw7gi8raou015Ogso3nDuXds5cySEHlMc+fgSU58zLzIUQIECAAAECBAgQIHASAQHlSdTsQ4AAAQIECBAgQOC4Ba5SVa/rEQgoD3M8HGpAafxU3b2qrjNx2HxMVV1zsO2zqurdE/d/ZFU9ceK2NiNAgAABAgQIECBAgMAiAgLKRZh1QoAAAQIECBAgQOCcEvi6qkro0TUB5WHe3kMNKI9x/HxYVb3nhMPk1lX1hMG+p3nNXaiq3nvCc7EbAQIECBAgQIAAAQIEtiIgoNwKo4MQIECAAAECBAgQOCqBn6+qb+ld8WnCkqOCW/hiDzWgPKbx8/FVdeequkVVXfGE93/bAeWrq+p5VfXgqvrTE56T3QgQIECAAAECBAgQIHAqAQHlqfjsTIAAAQIECBAgQOAoBV5eVVcXUB78vT/UgPJcHz/nqaobV9W3VdWXVFX+3f3PVfURJxwx2w4os17sFdpzeU4bVD65qj5wwvOzGwECBAgQIECAAAECBGYLCChnk9mBAAECBAgQIECAwNEJnK+q3j/jql85CDDHds0xv7gNcK5bVZdtgpJLVdW/NxVnf19Vb6mq51bVM5rtXjij7/tW1T1722etv5/s/TmB0W2r6tpVlbX9Eib9U1Wlquy3qupXVkx/mXDp9lV1s6r6lKr6yKr616p6a1W9oKmO+9Wqev6E83x4VX19b7t7VdWP9/58w6r6yqr67OZcLl9VF66qd7T9JHDMWoJZf3BKO01A+clt1d+1quqTquqSVXWxqvq39nz+uqpeUlVPqarfq6oPrTmhszR+priu2qYbI6mYvPJgo0MNKLvTfGNV/UJVPbQJVv/hNAj2JUCAAAECBAgQIECAwBQBAeUUJdsQIECAAAECBAgQOG6BbQdMX1FVP1ZVHzeRNcHfXavqjyZsn3AyIWXXfqQJz36wqi5eVY9tjnGTDcf4qzaE/LPedrdqg5uEkuvaI6rqG9uQddV2P1NV3977YcLThKgfVVWPaabevMGEa0wgeMcmaM25rmsnCSiv1lg9sA2PJ5zKf2wSqzs0YfOLVuxwlsbP1Gvub/dpbbXk17SB8vAYCfcz9vrB9Jx+tl1B+bPNFwC+qQnGLzhyEu9rAunHNYF0tnnpnJO0LQECBAgQIECAAAECBOYICCjnaNmWAAECBAgQIECAwHEKbCtgOm87neQ3n4AxlZWpYHzUhn3vUlUP6G2T/3/vqnp2U3mYSs0pLVNgfnpVvbOqvq6qEjxO/bdTAsjvXNNJAsmErV3Leozf34Z7nzDl5NptUmH6uVX1+jX7zA0ob1RVT2j8LjrjPLpNMz3oV1fV40f2PUvjZ+ql55pu2QaTn7dip1QC/1JV5R7/zdQDj2y37YAyXVymqu7UVObmtZhK4rH24vb1mnuaylmNAAECBAgQIECAAAECWxOY+o/srXXoQAQIECBAgAABAgQInEmBVPilXbqq/mRwBZmO9E29v0vF2D+OXGWmQb3d4O//rqoe1k7n+rdN9eMF2vXxMtVpts0Up13LNKKZ/nQsBOu2STj4oN4+D26nYv3e9u+eVlX5LwFfgrjPqqpvGFkfMFWXmfI1VZsXaq/n0e20pu9qKx4T6N1iEF5+sJ0S9bUr7nKmc71H72cJPy/STDGbECrtVVX1m1X1mibI/Jd22tvPqaqvaqeV7R829+Eaa9YOnBNQppr1ZVX14QPvZ1ZV/ntdez4f1t6frLGY6W4zRW7XUn33me25Dy//rIyfTS/OTEWc6tWEex+7YuM/bisQf62Zbjgmp227CCi7czp/O/a+o532eOxc8xpN0JopYPO60QgQIECAAAECBAgQIHBqAQHlqQkdgAABAgQIECBAgMBRCSRoSpDYb1dqpq9M1eG6lmAxgU2/pVovU4Mm8BtrqexKSJgAtGtZHy9rIq5aJy9By0/3ts86lqmcfG8TrP6PqvrdkY4SNGWdy6z52LVMn/rmpvIy1XFZ8zEB4VjoOhYeddPKjl3TcI3MrOV4hTZkTLiaarux9RzjnuDyOoODpgLuF1f4zQkoMwVprrFrCdZuvmG9yy9oAt6nDkLkJ7WVhavGwqGPn1XnnTVLv60JX2/ThujD7VLhm/VBU0GbNUm32XYZUPbPM2F9Xj+ZgjlfFBi7xtzfTP/6vG1eoGMRIECAAAECBAgQIHB8AgLK47vnrpgAAQIECBAgQIDAaQROEjBlrbs3ttNKdn0/o63AS8XhuvYRTeD1ykF4mIAkQcpYS4iUnw9bKv5+e01HWR/w4SM///O2KvDda/bNcb+k9/OEognvxlrW3syUs8N2r2ZNwFRXrmuXaqsTMz1n117dBJefumKnqQHlxRrPf2rWBc20pV3LueScNrW7NQHlT/Q2SlB3iTWh86GPn/71ZtwmWM+YSng31jKN60PbYHlX1YVLBZTd9WV8JfjOfx+94rpT6Zvq5FQVr3ttbBo/fk6AAAECBAgQIECAwJEKCCiP9Ma7bAIECBAgQIAAAQInFDhJwJR1HB/Z6y/Veam6HFZirjqlVPalwq9rb2+Dk7HpM8cCyie3U7Guu+SPbCskh/9G+tImoHzKBqsEOQ/pbZPqzkyFO9bGAspUa35iE1xmatxNLVPV3m+wUSpKE6QO29SA8mrttLgJpvJfgtBrtsHwpvPJ9m8bbJSpbzMt7Fg79PGTc04l7bc0FbTf2FqMXce2p3Fd57x0QNmdy5TpX9/ReP1KG9D+5abB4ucECBAgQIAAAQIECBDoBASUxgIBAgQIECBAgAABAnMEThIw/V4zJeQNep1kLcqs+zi1pbLvrU1l5CV7O9yqnVJzeIyxgHJKyJjj/M2gYixr72Wa2Q9sONFMA/v7g23OW1Vj1aFjAeWU6snu8Fds1uZ8/aCvXPPPjZzj1IByuGv+nTg2zewqhqHb7VdUo2b/Qx4/H19V96+qjJfcv2FLdWimHM40rrFdqu0roOxfXypIMwXxl6+Y/jVjPZXEWV811ZUaAQIECBAgQIAAAQIE1goIKA0QAgQIECBAgAABAgTmCMwNmBL0/HNVXaTXSUKOrD85pz2uDUe6fX6ymVry7iMHGAaUCdoyTew7J3T2sqq6Rm+7hFFZt3JTS7D12sFGH75imtOxgPLqE6sVuy6y3mfWrexa1q2888hJnjSg3HS9w59nmtlP7v3lXarqp1Yc5JDHz6ppfpeYxnWd+SEElN35XbapfL7Tmulfv7utxp07hmxPgAABAgQIECBAgMCRCQgoj+yGu1wCBAgQIECAAAECpxSYGzB92kj4lkDvdTPP455N5dZ9e/v8blXdcOQYw4DyTYP1K9d1+/yqul5vg/Q3tl7k8Bgf20wH+ubBX2aK10z1OmzDgDLT1Ca83VSl2T/Os5oKvi/q/cWzq+oLR/paKqB8RVNZ+Om9/rMu5QNWQB/y+BkGlC9v1zPN9MJj0wnPHMIn3vyQAsruIjL9623atWCv1bsyAeWJb7MdCRAgQIAAAQIECByXgIDyuO63qyVAgAABAgQIECBwWoG5AdOXVdWTBp3etKl+fPfME0kA9329fd5SVZcbOcYwoPyTQXi2rtvnVtXn9zZIhWYqNTe1MZOpAWUqL6+6qYPBzx/aro/Y/XWm1EwQPGwnDSgvXlU3b6tJP6VZXzNVcxdrQseLVtV5RvpJhWp/StRtBpRLjp9+QJnA+BHtdK6vnHl/tr35IQaUucasffrtVXWH3rSvAspt333HI0CAAAECBAgQIHCOCggoz9Eb67IIECBAgAABAgQI7EhgbkB5u6rKmpPbbv/aBmbD4w4Dyhc3a+Nde2Lnw4Ay4cuDJ+x7moAyVZtZw3JOy/SpCYK6lilfrzRygLkB5WWq6n5V9VXN/15ozgkNtt1mQLnk+Fk1xevz2qAyQfucStdTEP6XXQ8poExAfZO2cnKsgllAua277jgECBAgQIAAAQIEznEBAeU5foNdHgECBAgQIECAAIEtC8wNKL+jqn56y+fQHe58I4HRWQson1lVN5rpM5wmNlPJpmJz2OYElJ9ZVb/TBHGXmHkuY5tvM6Bccvxcp6p+var++wqDNzbOP9dU7j6sCej+aQtOUw9xCAFl1lT9hrZi8iorTvytVZVAOeNII0CAAAECBAgQIECAwFoBAaUBQoAAAQIECBAgQIDAHIG5AeW3tqHOnD6mbpupSN852PisBZTPaCvSpl5ztrtPVd2rt8Pbqir3ZdimBpRZQzNT4Q7Dyf/dHPcXqupFVZUqzbe3azF+aNDRLtegXHr8ZKraWzTrh2YcXX/FTXlPVT26rap89Zwbd8Jt9xlQfkIbSqa6NFP8jrUXtq/xJzRrtr7/hNdoNwIECBAgQIAAAQIEjkxAQHlkN9zlEiBAgAABAgQIEDilwNyA8mvaMKfr9oNVlcrHYch1ytP6f7uftYDy99cEYatMhlO8vq6qPn5k46kBZabgTeVbv923uUc/2Kz7+e8TbswuA8qlx0//cj+5DSq/dk0495y2QvgpVZWxvYu2dECZ5wSp6k316pdU1dhzg4S0v9ZOgfzyXVy0YxIgQIAAAQIECBAgcG4LCCjP7fvr6ggQIECAAAECBAhsW2BuQHnTqnrq4CQyXeS7tn1i7fHOWkCZcOcaMy0eWlXf2NsnAeFnjBxjSkB54Xa60gv29k/w9NUzzunPmqlRP7G3/TaneF16/IxddsZrKghTzXnVFS6vb6sIf7mq3jHDbsqmSwWUqZDMdWbt1VROjrVc50OaaXBznUtOczvFyTYECBAgQIAAAQIECJwhAQHlGbpZTpUAAQIECBAgQIDAAQjMDSgTdPzF4Lw/rapetaNrOWsB5T9X1UfMtMgafzfs7ZPqvS8dOcaUgPKLqyrrYPZbAtOpVXHnaafZvUjvANsMKJceP+tuRf79HPeMsQSnufZh+9eqelQ7/WuC2220XQeUH9deU9aYTBg7bKl2flZbLfm0HVaKbsPKMQgQIECAAAECBAgQOCMCAsozcqOcJgECBAgQIECAAIEDEZgbUObfHKm06odwCUIyregu2lkLKGNwuap6ywyMv6qqK/W2v39V3WNk/ykB5e3barhu96wheKEZIdT1qur5g763GVAuPX6m3oYrthWVdxhZu7M7RkK9n6mqp8/wHOt/VwFlwtZM45qwdezZQMLzR7SVoa+dCmM7AgQIECBAgAABAgQITBEQUE5Rsg0BAgQIECBAgAABAp3A3IAy+z2jXdOuO8aqir9tKJ/FgDIh169MvPiEmW8abJs1Eh8zsv+UgPI7m/D4Qb19/6aqPnbiuWSzTAf7lYPttxlQLj1+Zlz6f2yaMDfT4d55zVS9f9kaP3juwdvttx1QJpS+a1V90orzeXVV/XxVPbKqUhGqESBAgAABAgQIECBAYOsCAsqtkzogAQIECBAgQIAAgXNaYCygvEpVpapvVUuAlSCra/9eVZ/aBFt/PkPqB5tpJq9bVZneNP/9yYp9z2JA+byq+vyJFlkfMFV5XftAVeWe/MPI/lMCyqw5+PDevgmkMs3nByecTyrvEjYP/11576q674r9D338TLjslZtcp50q9VbN9V9gsNVJpvLtDrHtgPINzT2/wuD88pp8clst+ZzTINiXAAECBAgQIECAAAECUwQElFOUbEOAAAECBAgQIECAQCdwyZEw7NpV9eI1RAlr3lhVl+1t84JmatAvrKr3TaD9rKpK2HbB3rar1rE8iwFlLiuh1hM3WGSdx9cMwqWESTdYsd+UgDL37kWD/RMEv3DDuXxie08yHt7ahqTdLg9s1qX8nhX7H/r4mTAcN26ScX6nqrpjrxr1UAPKv2vO8aHN/fuFqnrzxiuzAQECBAgQIECAAAECBLYkIKDcEqTDECBAgAABAgQIEDgSgfM16x2+t6rO27veVMulam5d+/JmSsnHDTbIGn23a8Kcv12z4y3bNRI/srfNbzRB3W1W7HPWAsq/b6rWLt1OpZlrynS4Y+2ibRXqzQY/vFFVPXPFPlMCyvM3aykmpOqvEZrAMqFn7vNYy718WFVdrD2nhG/f3NvwJc26i5+9Yt9DHz/bfBnnWjN+MyYTqPfH8Jx+tl1B+fqqeltVZcrZx1fVv805GdsSIECAAAECBAgQIEBgGwICym0oOgYBAgQIECBAgACB4xJ4ZRu4dFf9oXYNxD9sg8uPa9ewG07hmqlEM6Vov/1LVf16M31rwsqsf5iKyku1x09V4TUH27+lXesvodpYO2sBZcLWy1TV57UX8/Rm+tvfrKo/q6p3VFUqDlPRmADwioMLTph5kzVDb0pAmd0TMN9zcJxMofsTzfH/qA0qc47Xqqqsd/k57baZKjTVrV/VnOfPDvb/8ap6VFUlpMt27+r9/JDHz65eyVdtnP7ihAffdkB5mnM54SXYjQABAgQIECBAgAABAv9VQEBpRBAgQIAAAQIECBAgMFfg7lV1/w07fW47BWh/s1RdJsj6lrkdttv/dTP16BdX1WvX7H/WAsqs+5d1JTOl6uVmuLy6DTXfvmafqQHlhasqVY9Xm9F/ql4zRW+C1Cs3weXrRtai7A6XkPmlvWMf8viZQbDYptsOKBc7cR0RIECAAAECBAgQIEBglYCA0tggQIAAAQIECBAgQGCuQNaCfN6aaTxzvLGAsusnU5n+aDM9aCq5prRMNfrLzVSU92rWNnznhh3OWkD5lKr60qq6fFU9oqquPwHkCVV15+a/TA+7rk0NKHOMj2orN68zof/fqao7DNYsfMhgmtf+YYYB5SGPnwmXv/gmAsrFyXVIgAABAgQIECBAgMCuBQSUuxZ2fAIECBAgQIAAAQLnpsBFququ7VqQV2kvMVOSvrGqXlZV96mqTMe6qqWa8ovaisjrtQFZ1mLMlKCZ9jX7vqapEnx2VT2pXSdxiuRZCyif2njdvHdhWfvxK6vq2u2UrqluTJVkpr99bruOZ6otp7Q5AWWOl38fJiz9inY618tWVcLETM+aCsn0m+l4M5XvsOV+3qWqbltVmeL3/W2AmXP+gZEw9VDHzxTXpbcRUC4trj8CBAgQIECAAAECBHYuIKDcObEOCBAgQIAAAQIECBAg8P8EfqwJ7+7d83haM/3pzfgQIECAAAECBAgQIECAAIFjEhBQHtPddq0ECBAgQIAAAQIECOxbQEC57zugfwIECBAgQIAAAQIECBDYu4CAcu+3wAkQIECAAAECBAgQIHBEAgLKI7rZLpUAAQIECBAgQIAAAQIExgUElEYGAQIECBAgQIAAAQIElhMQUC5nrScCBAgQIECAAAECBAgQOFABAeWB3hinRYAAAQIECBAgQIDAOSkgoDwnb6uLIkCAAAECBAgQIECAAIE5AgLKOVq2JUCAAAECBAgQIECAwOkEBJSn87M3AQIECBAgQIAAAQIECJwDAgLKc+AmugQCBAgQIECAAAECBM6MgIDyzNwqJ0qAAAECBAgQIECAAAECuxIQUO5K1nEJECBAgAABeGZMxAAAIABJREFUAgQIECDw/wsIKI0KAgQIECBAgAABAgQIEDh6AQHl0Q8BAAQIECBAgAABAgQILCggoFwQW1cECBAgQIAAAQIECBAgcJgCAsrDvC/OigABAgQIECBAgACBc1NAQHlu3ldXRYAAAQIECBAgQIAAAQIzBASUM7BsSoAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDA6QQElKfzszcBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAjMEBJQzsGxKgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMDpBASUp/OzNwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECMwQElDOwbEqAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwOkEBJSn87M3AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIzBASUM7BsSoAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDA6QQElKfzszcBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAjMEBJQzsGxKgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMDpBASUp/OzNwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECMwQElDOwbEqAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwOkEBJSn8zure9+vqr63d/JPrqpb7OhiPjQ47udU1R/uqC+HJXBSgS+qqmf1dv7XqrroSQ9mv50I/ENVXbJ35JtX1VN30pODzhW4UlW9uKou3e6Ye/VZVfXXcw9kewIECBAgQIAAAQIECBCYJPAHzXOM6/a2vFvzHOMBk/a0EQECBAjMEbhgVf1+VV2r3ekDVfWlVfX0OQex7biAgPI4R4aA8jjvu6teLSCgPPzRIaA8zHt08ap6YVVdrT2991dVXk/PO8zTdVYECBAgQIAAAQIECBA4JwQElOfEbXQRBAicEYGPrqqXVtXHtOf7rvZLIq86I+d/sKcpoDzYW7PTExNQ7pTXwc+ggIDy8G+agPLw7lF+h3haUz15496pfVtTSflzh3eqzmgPAsPX7C5PwewMu9Q9jmMbr6e/z59SVV/f/iP9ylX1EVX1b1X1d1X1sqp6UlX9Rvt3p+/NEQicTYG8Bm610Knfs6ry736NwEkF8nv9z55055n7PbOZaetGM/c5C5tfpqpu31TdfEFVfXJVXaKq8m+of2reC/JA+3eq6hFV9Y8nvJhzJaA01k44AOy2F4H8zrtUIPW+5rP8Qnu5yt12mvfBG1bVl7cViQn8Pryq/qWq3tzOvPjotmJxt2cy/+if3XwpP++95293fWNVfUb7vj7/aPb4DwEB5XEOBAHluXvfP7/95TdXmAdBrzh3L3WrVyag3CrnpIPdrvnHWKYGTXtQVb1jw14Cykmsi270XVX1wF6Pvz0IKxc9GZ2dSCC/B35fVZ23fQ3mtbitJvDZlqTjLCFgvJ5c+WLtA+x8rm9qf9mGmPlHvUbgkAV29W8qAeUh33XnNhQQGp18TOR37O9pHmDfp6oyLeC6lgqcu1TVQ0/QnYByPtq5GobPl7DHSQUElCeV+7/7fVxVPaaZGjVB36b2u83SQd/Qhpabtl3y5z/QZGo/3OvwN6vq1kuewLnWl4DyXLuj064n377ofwMjU/Jlzb1dNGtQ7kJ19TEfX1W3aX+cN/FfXbb7M9ubgHL5W/e2qso3StMSVL5hwykIKJe/R+t6zC/lL+l9lry9qj61qt5yWKfpbDYIZGre17TbZM3QK25RTOCzRUyH2rmA8Xoy4vx7Imt4X2+w+3vbyskLV9WlRn5206p69sm6tBeBRQR29W8qAeUit08nWxIQUJ4cMutAJnTst6xXllkFPlhVmSbwPIOf37uq7juzSwHlTLCqElDON7PHfxUQUJ58RGSWlRf1ngV2R3pnVeWZUqrM8+XHfsuzwvxb45CeNZ2vvY7P6p1oquUffnKa495TQHnc93+JqxdQLqH8n328qaou1/5RQDndXkA53WobW16lql7XO5CAchuqyx7jBc2URNfpdfmtVfWQZU9Bb1sQuEPzmfGw9jjbDigf2U7TMuU0P61XUZ3t39NOeTVl32xz96p67dSNbUdgRMB4PdmwyDeH8w3iruWzPdX1mbIuX4BMyxcf7lFVd+ptl6mbPnGHX5A82dXYi8B/Cuzq31T5vOr//rTOPNOdXXOwQb4Q8O6JNyrva0+cuK3NCIwJ3KSq7jiR5gIjM6m8vJneNFPfTWl/3AR2PzJlwzOwzfWr6jm988yUhfkcfFRTVZmH8GkXr6r8Hv5jVfVh7d8luMzD7rhNbedKQGmsTb3jtjsEgcs3QdrPzDiRGwxCt/yOkfe8KS3LJWQa1HOlPbd5f8wsFV3LvxkyJX3e95IfJKfK7z4/2XyZ8fN62/1WVf2f9u49Zp/nv+v6FaMxWAWNohBiGhtBpSaAJooVEwgEWgUUTwhyUFPUxgN4wAZtRSkKAlIPlCAJhIiIRomKou0fGIRYrEVji6BE0aixNkERLUSNxng//F4T3kxmd2f3OtzX3vfrnfza3+9z77U7+5zZmfe8T/PXvhiEH3o9xqIFm6gK9wMvl4vA18hOAnFQ7gSWy3cTiINyN7LDP+CYtNA1iYNyHmUclPOs7nHlT79cLowmTeKgvAfV593jp15LcrQn/pfX7Mn/53lNyJPuRODXXM/Fcbt7Oyj3NPFXXC6Xv6v84D3bsqfdufa8BBgDOcKPyD3HqwxE2YZnFOeu/IGrkVX7VUb4Idf/P3qff/pa7q797W++XC7/8hlfPG3+8AReZU+lVNi/1tGe0Zk/fAflBR9G4Ja1Uba8NaHKLfaIM6+P/25x1rKH/ejOYVkZ/YTL5fKbyz8o8zrrFPazj+Kg3DOo7z3W9jw7135eArfMj//59QzaRs+5s85tPyJnnhuVdP228tKqqTiHUnBGL4JeODP/susfzKV/9otlUWqavvwZpfG/6m0v9DVHOvaz/yYOys8+Ah7//nFQPp5xe4Komn+1PO6WDcHzWv0aT4qD8rn98Cu7RXvG2JISr8/to6WnOUPlv7oqh+2av+btUPB/6zWal1bsJPB739aNv+D6m/d0Ct7T4bMTQS7/ZARE7CpZR1pJ/L0I7jleGSf+nusZjv/KyZyVSi39jgJvqzTdn3qNKHbmLaEL1MCEvf2Q60PgUQReZU8VB+Wjejj37QnI+DAf0+mPlvu/t9OIQf+3v5UJt+bSV88ignf+t5IVKev5x240/nddLpe/+HqNd/3yHS8bB+UXsGL72jFocuk0AU4ya7G9A1vrPzv9yz/2wns6KAUYf9/r3sH5jL3N/WATn/Kzr7tcLt9QnvSXv82P37ry5B//Njf+2+Xv9LM+cOspDV95CKcp+1g7a1gpb9WhzrRuvTfD///5cVC+RDd86EbEQfm87v3Ga1mt9sQoafPs46CcZ3WPK5VvUA6hSRyU96D6nHuoq08pbvL7rg6uMynGzyH1+k/hLPiDRReMg/L1+ywtPEbAOYg/7WpccFYuEVTBEHtE7u2gbGeV/C/XksvKZfseX10wVa6uiTJM1WE5av//dLlcvt/1D874+8mv/pJp36ck8Cp7qjgoP+Xwe9pLK0n3Vde18cdd9UGONfrhEbm3g9KZY196bYhyqdZeazfj7ytLn4GtDHo1yI/a/hsvl8vfdP2DMyr/rB0vGAflF7Bi+9oxaHLpJgEl1h1NIJu56a1/39v8+M9s/nJ8wT0dlL/ucrn8zOtj2GK+6S2wxL99z8G2PfNnjpZR2po4CkI26Ch7srXpz3ubG1XravKqxwr92usc1Nppb8duFtlBIA7KdVj9x+Dqox57RhA1k6v84LeN+X+x0gQHw6rFriSEVGhK359+VcoYMSgvDpeVFv3vvdVt/r8m+/4Xv5W1+tpy7ayRRjTYT7rWff5h14lamrs6y85+0g4T439T7v1oB6Voi5by7bE4ffv1+aJdlJL8667OEPyUIPzuy+UiSu03rGT9/LlvqeM/68ref/+SayQcg5H3FPX9307yrpe5j42ATYCDlTlm9LO2Oo+Asfg73tLcne+mffp4TXqFdKtJf9q1v9p1r86vbky0WX/+S1svWf5uMfMdN1lSXM/ioLz3+GlcRMr241kkkDOiZoTSxuhYpTodHSDdzqKauZ9voDow/abPoPQdffP1ZjbY6tEz5Ig+/f7Xb8rcpOyx70Tphdk6/30bbTRFb5mLRbSah31Lf+Qt88VcjNN/8HZwtwi2LeNsvXeNlvXv5tX/7HrBV77NB3/vtf6+g8K9Y/37iOOjxkd9Vq9ciyakFO8V64l31I/mcBtxXJU6VB7qP3n79295O6NMRtHsWUu1DXjpLyVD/orremUN8FzzrH7jKGfw+HcGJamW3kcEtHY1UcLpryr/23kyNgzWbnO8Z1oHHfhuA6FMidJN37UTmDFtfMtYMgbxsnZ4T+fauJ/5zvv8myulT/q5bqsZokSdJ/douafDR1vNP0pm6X9ZAaJM8dL35pLvvPajvjcWZuS9+t53bf7xfM41Z554F1Ga5iDvQwejD9LnzJ9H5Czz3J53c96xjawNYm9wndV9R8+753iVQdkclO1ZjK+ihT3nt+554SdfS0/+1eWZW2sUI4T5qmVQcsTqn6NiXvyrr+fYmBf9b9+G/a31n75vLaG3/+snyk79S6/z1496Wy9+wNue48+8riPmL2swfYNO0+tdsxzpV9Ze96f/Waf+5Csz86EocGuJ9c26NSP2MXUfat02dzXR5/Zj/vMXvY0bhj/r8a16mvvKiv6J1/LC9mzWYUEJ9An3dy4q3eq3XL+nJUPYrXuqGU57r7m3g9I8aD2xDzUOrI10TEZNa8nvv1wusr2sjcbBrKztJ91DhoSABmdvGnPGhmcqC63Um3MylbjcG+xGz8LImX2qQdDNzQH2++5vH/l7rmfimlPNP3vlUfpknxVS1yTv4bxCegx9xtx5y5rVv7NxYF2UMfll3R9f1UHZmuk8S+Xz6NKvesYXvbOeiz7j1GD7aWfTsg+yE85KP3f9g2/fgZLqxDxr3mXDs0ZbU1p5dvtX37ussN89+7AXue7eznC2Cnq2udF8ZZ/VbIf2pf/jdQ/H5rqW7dXj+SevZ+u1f3cGsXP1mvj+fIvOJzRufJvWLmuxdcue03q/dy98r33jVnc/Qp+gj1RHW52TrPl/59Um6Bsx398yZ43ez15bZRO2JeOiysy3vMTsUQ7K9jzMHKFk71Adelt9+Oy/s3E7LojM9J29vDMqmwhsFOB4VKyvdEZ6sH01Hdt3xxZvTqST8Nv49tYcp/3zfQv17GDnhgqwsReJTBKIg3IbVG9Alk585IBaZ6z8lPI49+0PvW9/tskzKVJMLYwz4mNywDZDwZZyf8RByfEnKmCr3ASjyi+/LsT++6MdlCaOWjLD4m5TrZ02Oz9oA57JzsamLYI2IQ5nx74ZUEa34GyxQM0a5t33779ysRGcEZOa+//DK0aVWzfTr84vDsovRsqjxk8bh2d0UHI+MTr61s2vyihsiUwPkXCz545RWES9MsKal2fkP75+59q2Jf3320pcCCAxT/eyZPx99Pho7WAE5GBrYrNkA7fX4EMptDnbmp89h2PPfMwQsbW2tXYJCPondmzuOXko8zaRlNM14UytG1Olp9oh73QDRhOK75ow4urjmRIx1gvvYgyurUn1edYnm9l/YPA+H91ByehtDef0meFl7TcWf9nEvPDsvvdd0zO+vpzxtzWn+Lu5h9Nn1rFwlnlu5t1dY28j+EHwhM3naK/DaYGr7/6I3NNBybBubfrzFxrCUOl5jA5759oj77bnN4w3v6n8wPyy5lDVJ/98uZ6BQtbIXjHHmq9FYDO0zgjnHsNgrQAw87tnXsPZYg/FGLMlHDDGhVJZ1rAZcT7oLyrnom39xppr36t0Lyfflljbqq5kDmbc8Vx62ozB3Tinp82cyyo4SKYjo+6smBetjZyVvdy6p5ptw57r7uWg5OCyD/UNcOBuiX4zL+l7hvktWdpPCjxjP6D3bQnbiDlFYOGWGEt0KHPOrJgDjH+Om1fQJ3t9rJUBFfRJz+SYrHIPB6W9knnY+b+c+L3QH32rR89Fu7fTyHpB/21l82p7zTcca64xdl5J6O41+I2Njs6xJPqFM6rpK+x55sFZ6ecu37q5UbCL73hrjvS9/wvX+eHV9IwlBvccaxwe+kiAy4wIRuYEtuffkp931VfadfYoP/9q25FVaz+4tV8RyCG7tu7Bl557733j0nMeqU/gQcdpYl6iW/h3QbiCO6rMOLm2+knSjXnR/OjdRiKAh94pSOyI3NNBaY62f13yFdDFzY0Cc/Y42Y68197f/HNXX4ffWYvN72uJDAIMBVm064+eQWm/IPif3jxTJYCT1zzM1jMrfbCWed/cEpkkEAflNigLfItAcrVNIGPOnigWE55MONEgTX72W8Sij7MXmwaONY62I2Kjb8Li3FqSvQ5K0Vwyg7zHrJhIGGtNNnXRZeD7j2ZvMnGdSbcuUv67Ws+eoZ9mRISEDRFhBP/qmR9drzFZ6q81saB6hoyaIyKKw3gYjblbN9Ovzi8Oyi8UskeNnzYez+igFN3G0UgBm1Ey2rvW733te2T8kKFJCdorFEFrx5YDijGiGlf8dw4y8xfnRC8jB+Uzxkdrh4CJmu1i7msK4yyjf+y6MZu9vl1ngy0Deq2sE53mn3pbp3/u3ptfrxc9zKGxZoyToVsNIS3YiAHF5n6PXiUQac1BIvrV+G5nRO59LdkPskdtbJt8ZAelrBwZP3vKYjUuvjlrNIf4kjyz70Xsyh7e+321tjMweZ+tjO6zzHMzY5/+bI6QEbJkZKIfNmffrFNn9Ox7Oijd37zBKWXjbA4azf/WBoEH5uFZ5/MMt1uuESDE4NJkLbKc/m8v0Yzi5llBKnv2U55DX7F2zhoS+/fTd+beVxPfq73Tnr2Wd5AxLVBzq+IKR5cKJCND/xYL86LAny0jjYCPutf1361f+n3GKdbawemtvWtirHHmHhEGMcbl/ve37qmOtGXrN/dwUHISyoj84VsPG/zduDK+tjLzR/tJhjpjhuN9VlRzYRxeK1OnlLT3kTlzROwDcF0z2j5DnxSUaMw18d/pbD3L9vejDkr6hOw5hnfsRiJDjFNMhai9FT7q/e7pNGr3Zc9hJJY1JQhtJGwl5nZZNWs2sCPj5ehvfDsylMla37lG37egTeNS4FLNxNlqQz930SVUD7BWjhzRS/cT4GYtmq3KttWuR/79HmONjdK4Mbb2CgeazMda5n50DwExgiCb+O/2qX4nq3xWjGtz+Nq4eMS+cdS+Z+gTbMg1e9F/V9Gnsmxtu8VBKRCEbYPjcSnAmA7Dbi+w6RZn3z0dlN5d4JFAPzptX3mssVH9T7USZVVnKwbNjsmj19mnVfvHWvUVPpNaUpeD2nq2V+jWdEt7rD1CXzQ+BKDPSO87UrFpyeE9c79Pd80eQ9qng3N9YYqQSL5qLDAp14jhLTb95sKCprxCv5k08VIwRDtV4aSRCk3JlyJsMRVdx2n1MwaOOE7KljY9atseB6XFnyGkz/oTwcNQwtjTnLYcmUpwtpKaNn8yP+pm+N4OSpuMeoYQp6hNq+cwejDw4SZqkgKImQikPlJJBgzFkIOSeGfMRU7oL+UX3FsmaRVlRixsa4sVZf9rut9R/rVNyUnjwDNsIBlYMVRqrQqjgn/vRb+0aGWGyGqwsYiLLKzCUF2jRl+dXxyUX2wWHzV+2th4tIPSc1rtft+hxbqK76pGTFNKeyWqL/HKmCsqmwPRmFZyRQS3+4iQMnfbZHHI9GudknBKSS2JEooiWXtFlRPDN2VzYDPP+KZ0g+eYc/ssSxvqWv6ufx4DSy0PqpQTA4LyMk0YpW1KOGFl3bcSsO3vzxgfnmUNlKlv89PExso8OSsi8fsoMnOzjbu5UJ8zOFFURbP2/EUC2nQviWAiimEVRi5tlC1vbHBqM3ZYZ0VK9oYzWSIUySWjub/VPrDZcDaFdcYarr/oB0o1mduNCWUmrVO1HLk2aovxYyyNxJiWCVbF2st4ZW2SBWbsW6eVKGml8/rrlfFroj1tPfcdVIVb//aVHazvzzjP4laHj/dnDK3Gce+MIYOVLDTv4d0ZfvS9/1/Fd23zv2TcembfyxqW6VGFXmL+YSg2tsyTjP50FxsuY6Xqqr4n+tjShvRM89zaHOMbNm+aj2pJyfYb+hmjAuMCI8M95NbxutYG8wVjA2fr9x5c6JtndNSGW40lt7Kwthpfba7Wnj6y3TXWQs6g5nzTJ+ZEc9keMX8xRPeGGN+EedeehDPNd2CtYuxXvaafFwQivlImpTma/lKzQc1D/s2cT3f3N9+zeb7PhmGItgdbmrvM9QKK6vygDxh6rL/WPeuJ+ZFD0TOqHqKPGKytD2tlALGvAWPmJkE29LT2HRq71hr/217YvoyxqXfK04foSCOxltov9/OdzC96Gue3DEzjjX7LKWMPV+cH35FKHKruNLl1T7VnLM9ee6uD0jvL8umzV+nhslV9T75hc40sbt+l8VL1ZmND369l0fb7Se02hzUd1/ErxpsMFHoFvYXub97uHY10OTaEkRhf1vO2p3CNtdD3z7nCwWmtN1eYA7Tbvr/fV//jbz8UMLckz9An6SDtWBrt8B0z3NZAbkF5+sdY9n57zk0WrEU/Nf/61kZC96Zbsx3dwyl1D6fRUp+YA40r+4AlZzvdyL6LbjuT+Tv7HR65znj3LRHfkL1HnyVkbmLjqcGwzYG155m9g5JTzH6o9btgSvtexzAJYLNHto82z/YlLF81iKfncY+xVs/xa/c3hjhzrL3KqJtL7NXwcoRHdfhaR8wva+UmewcLvuyHv+T6QA4klQroMdZQc7HgL/sU61cVc0S/d6l/f8S+sef+LH3COK1rtjlfuW720iZsQ/QA69VshTq/bUGBdG02nFFQoHWKE9neYe1Itj3f6b0dlPXZ9F1zozWi/6ZdRycyzxt/R4882vOua9f2pVA57HvHs+/Mv1UbqP42/n0ze0R/06f76iT0EfO0ctz0BjZKCRAY9tVZZv0/I5sqXXhPyfw97/bhro2Dcq5LGTRsYppwLNVyrVt3sejUSNDRBt49pPv3yjLjMyV9qSQhowBHIQWjytpHtMdB2RthPKOVjRi9t49Z2SVttrCI7KiT5L0dlDbcNYqCEVqkpwVMOZl6HmZr74+8Gndqu2zQKYl4UhgY0mtpgfZbSjxDWJVWVnbEw2ZPW+rCp/9tlJcM4DYhlNWW1em+FCDOy945UZ85e95i/c2r8/vsDspnjZ9nOCjbuNs6r3JpPu0dlIxKjHrGyN+wUt7H/GAOrkEJ/bmB9ZnWRXN+zWI3F9jgc4guib5ibK1BAuZAjhNtHIl5p5a9UgamOSVkyVDM2m9tkMwDdXP7rPGh7b0y2RxjHIwzwunIEFYVPhs6UaujrDVGKI7FPvNcn49K3JjXGW+qXmPDbuO4ZKQwJpTesPZWWducK8NUMwn0j02MzaS5XQRmzVis91WKpTe61XNi6rWMarV0EGMuvWPrzAXGPob36iznuKrnZrbnYFPLK1L4+83wTN/e45pbHD7elZGvlnnmKLbOjt67tdfYs6ZXXWDNaPmsvveNMJBUQ78NsuCrtWAoGZ6MxNXQRd8zr/RypnluNL58uzaQ9DHf/kgYBJ3taGyNdMFbxu0t43X2uZxqjGHecan8K2O8yGjf/OxcPPv82evqWTIcZAyi7VwwjnP7mhrcx+DOCC/jfK8wtve/U4Zd4MtSyUaGRfNAPY+c0VHg4UwZ0b1t3Hu9fub0q3Ov/23+Gp0hZD9hnlKiqgrO/r0XBhdGsVpVRrCr78eavCT2lQIiakanIA59OdofuY8xWAOLrIkcVBxb9LSlPQyDJwdT1dM4J/u9bWur+1bdwFrvWt/8knDW2L/X+YIjqA8car8/sqfa2/cz19/qoOSoqaUifSfWBPrI0nois8/+sI4Zehe9eOk76/eTre/tdWUZ9QGz7d19l5zY1YHGIceBMnK4M2Q2w7570Le0S3DCktAR/IajoAm9zdwwCuB5lj5JL66GYu/AASEg2dzO3oJj0/sZ62cy/znvrBu+udHxFL5f/UWvEEx3T7mH02imPYzUjPGCGZfekeGZjreV+T3zvCPX9Gc01+BYgVXmcPN83bcIGuDY35ul1TsojR8B9Izuvj/Z+SOx17B3rZVHjA97mnqG5pH3f/Rvbh1r/R5Ie9kL7OOWAjPNS/TsqtPQdwT2LJ2HapzWikr2qgKK2EjZTJV8HQUHCNxgJ6hBptpo7JsnennGvvGZ+oSsyBqkJ3DTnsaa4vgrzmXXkNm50f1UGqSDLh0zY7/ABkOvbve/11h+pIOytdEeUMaf+ac6c+s7/M7r3sh4Xyuteq/37u9jzuOkb4FDdEt2biKxyRzIFl8Di6zV9Mk1vXWpvf3xEq5retCoMpfv2bwoYLQJW5V9w5qe2a61ltfqV1sVsx7F+ZT3jYNyrtss7DXSltHZBD2zsbXxZGiqG7zRwa7uJ6K0KlkMka7dEgucj7Ua52yslsrCzTooGce0vRqULQYmjS1ZKltwbwdlrUldJxCK31qJklHElN9TDBmElkQ0hyycGqWzZBRwD+UGnffRxMZC1sKWIclzGItrXXH3sjgvyZHN9Kvz++wOymeNnzM6KH0H5icKzVaUbJ9l6DukpI42gByGNgRVKHqMwFtCkWFYrPM9Y+pS6ZjeoGMzSGEW+TpTuuxZ48N7i2DDsYm2VoPvFhsO5WoYZOwSybZk6HQ/axultRrn2xk9/fMYeRh7mohUs1mb2VzoI4bvJpRVhqvRuLK2jDJIOLUZTNcUfY4wSmvNflFGeFRuhNG9Gpv3nH/dl75bWrekkB5UAAAgAElEQVQ/ioOyf1/9Z6zV0mlL47MvxbJ2oP2z+l6wVD3fhDPBJm2tvHF7P05Kztqm31tD+3OsXHumea72HV3Zptt81GfEtOvuVcZ1bU57hoOyPV9fCrxr5V9HezdBjLLHtGstkG1rnj7ydxmTNROSI4BxlEGgP7eeXm4PIZjwiNjrVMMgIwtD35b0hjvXm3fNv+8tfXCqjHr7Od/9mvT7GMYThqnegUGXMEc2sUbhsVWy0/WCYoyrKv6No28kfSCZa7wHPY1TeE0EE9Rz75b0NHtS+/C6XzbO1hxU7bn25DLRa5lI+u8oGv/InuoRY+kWByXuvSGbYbfPzh+123dmDa02gLVjTUb7STq2uWvtXFrPtu82nqtwso0MkYz71WDP0Fx107U+6IMCjTdB3r08S5/sg558KwztviPf6J5yfIy6dDrz7lKGlblFpSi8tvZNR8fyrU6jvc/lRLfH8p9a4aXeh85ubRT8vbek+N721Os5B6x5ba6i15mPjVnfRRU2RQ7LeqzUnmePylMLJpAJb9+0JjKG+uMAOK+rQ39PW5517S1jzffCQVKDMGQf0me2nMPso9ZP9rwmaxV+Rs4Rv9vK4nYNu4K1qAZSsgXa//fyjH3jM/WJPuCJ3cF6bX9H99sjKgj47lQe7CtqtPtYp4x7wVFbY2DPs+u1z3BQtufNlH+15sg4Zwe5pbT3ER6C8Nm7msgYZu8RUNUf00YXUKnsSLCp/vZutVLD1pnA2qQt9lO1EiSnqaCCLZHQUP0l9GjvF5kgEAflBKRrCS0fsA+9iawckVlb0m/uRPWLUuqdm7IoRDM2EUkjE4fTckZ6A4HfiIBU8qyXWQelSbwq7hQdhlXp0Fti8+e6ysxvnuGgXDsDp7Vb5LAIqCr6hLKxVG6vXWtjXh3HNmWiFEeixK2F1ETrPzZWs3Wze6fKWqSvZx/ZTI82lK/E77M7KJ81fs7qoPTdLUWF1u9ROc/+7FuKx+gcr77sKmVSacdZZbVXuDjIbJpHWfCj7080s83ijDxrfGiLtcCa0EQQSv3fa+21bvSRuIwv9SzHpd/LCKzne+gHc2k13PRlstxrdmy41v3MNdWxvKSEjpxU1mvvWMsUL71Pv4GkW4yMKsoLieJtwnChv2eEEm4cMrp6L6VpRmeWfAQHJT3W2KqZy3sMK36PT3W2Cyqq+lhj/qy+78c853dflmZtHIjGJvreGBAc0M9fZ5rnvAtjOSOPbIPRGXreT2a8vt8yxs18Q1vXPNNBWdtinOOwVP7VtdYQxjIBMM+IjJbRR//sy47WdpsjZXKZ/+yDjojsOu9kf2HO5qwWAb111nN7Vh/RvJRdfKRtR3+Dne+0Zj0vZdX3z7Bf4QiuFVpUXql7G98KR0SNopcZ0FeCWWu/dVrgQ5OlICF/HzkofbMCbLakD8xw/UhPE5hQ11pBTn0prrVnyU5rlS2wt08eRcQf2VNtveORv9/ioBRcLci6CWObvpzVZ/vgrbXqIyN91j6WUXhLjFMO9qqDcTiNsqxl49asBvrybBZgKymr3/2H87Z3Tr+3PokV59XsOmYeELCjbHUNaq7M713Gda0/b3EabY2Ttb/PlH/1nTMcG5cztqxb2tN+23+Do3sK8BEst1ZCeastIwflnopvvu0aLGmOrQ64ree/x99vGWvWAUkJTegogvm2Amna9b191/xlLzfKhBw5KDnNBdXOBB72QRlL/frofeMr6BOcQ/bnM0JnFIyJf62KVX/7iDKua217poOytoN+1cq/9secuc5egX5tbzMT3DvDf+sa35tg8lF72m8lItjTShKY1Vv65/aZ7O7p2TPBKv03NXueZF/tha4u+zIyQSAOyglI10uUnqklN2c94bX+vFtRVCiRvfTRensPQrdB9cHVTagolxqZ0J4566BUjsXGsomNTc1Q2aLXv7vrH+2gNMFSELaiDmUp9c4JfVxL8S69X29gVjrEGZYz4ptbKo/T/76f3ER6yepZkiOb6X5D+Wr8PruDsu/rR42fMzooLfaMtTMKi4zkPqvAN9uX/VGaTIBCVZZmHPa1n/pSqP5GQR6dtTUy6PQGxpl5pV3zqPHh/v0atVbqu2+zKFHzZhNz71LJwv63stU5aMzp7T8OS6+1/PuITlGXDNgzG7/2vH698r7VKNuuGzmplDjkVJoRZejq+afGr8jYfl3oy7KJcKxl2maetXXNR3BQOnOj/45tPJbKKo+YOK/5G8sfGA5qRYpn933fL3uzlbf6/UzzHEPtNwzO/27v+Mgyrmsc38tB2dokIlj2D8PLUiY7Q5t2zkT7bo2Ztb/rI3PyqGqLTDfBLfYdswGXe9qyZ82zb6vHc2xVTNnTjqPXygRjfKzCATtrJOWM9D1bGzkH/e+aFTrKlLaP25Nl28+P1izr8qg6Qe+gtG8xH8/oaQJreue1AM+aTY7T6JiAPcxm++rInmr23nuuO+qgHDn9ljIGl9rT67N0KnvsUSDvSJ/dc+4SZ2Er8aY9S9WJ+n6RVVFL1e9hO7r2vfXJWQOogBBZVL7xkYGX4958IGjnWQZnPG9xGt3ad+33nMyy/9iwRuVfzUfmSZloa2fq3toea6KKAv25zO6rDQLFBB7W4xyOPnPkoKQfz/a9uUEWexXtH5UZP9rGe//ulrEmW646rWYrxLV3sG8TYFrtrksZ5iMHJacJ58eM9OfhqkDUl311n0fvG99bn1hbf3qOvn92iiUnu0w8gQrs8jMlO2f6aeaa93JQtrbNlH+lH7LbzCRizbzz6BrzssoJgqlrGd92rf2CQEsBdTNlzdfaQYfkoG2yVtmsv48MdHvQpmPTfQQxr1X/cg/BUH0FCDquPVFkg0AclPNDhNGYA6uJTRQD6NqB4j44TsMa7T3abMkyVOu8pu8zRDJI7hElYWsm39ICNuug7KON92QlaLd3sFhWebSDcsmo3HMcbYQtZt5xS/pIjNlnbt23/3u/KTVGRpN4+92RzXS/oZx9l2fxi4Ny76j5o9fvGT9ndFDORmY3Ir6fWtZj5DSUpdSXnmP83XsOhzNxanmKJUNL//1ZT2x2blXGZkbNnvHhfn2plT2OVOd/1XJGe/tu631Ez9cyf4xVjFZ7RBlfinATpT7Nc/0ZSCMHJeckJ+WMjKLzzev9eSf9OUsi/VRF2GNY3mrPR3BQfu3V+dHeld7Sl5Xc4sAIU8sDchbrk34j8ay+H5WjFLCkNNs95Ezz3FI5flmvnG+cX8+YL3vu7+2gbO3ZKv/KiVTPMr3H+Gn3UFnAnGleGgnDq0zkrTLb9ki+wXvObaP29H0maKieAX1PNrP3kgFaHchH5q+1Z+kDJT2bKHNVz/qbaafSaL+nu3C0l3VJ76BkgLVnmhVzrhKXTUZ6mjFvvazXKd3I2DXjCJ1ty5E91ey991x31EHZVw6xrnHuskvMCtac5fV8OmdAybbqpddnZYOtZVX3v++z+peCrPvzRxl8GR9HZ5nPvme97r31yZnSc9o7cij592eUcV3jeovT6Eh/rf3GuGWLWir/ujcAdbZ9svutfbL0aoZ7+721h81JoO2WcNob46PzWOtvewel70E7ZgM1R3aAtZLOW+1+xt+PjjUOfXpJXUNmM/3re/WJHPq8HuvUrh05KFUCmC2z3FfZW7LVPXrf+N76hDHO6T4jvf2w/eYZZVzX2vfeDsrWNr4HJUedjUiX72VvotRMn7Rr2I8EBY+cx+Y586Zszi0noMA0vhOBcEviW+ezkajQ5Mi3vuf9XMsGyBZYReUO/R/ZIBAH5fwQsYEWKVM3+vWw69Gd+hKpyoiIJO0zJZyz0NfSPuLI67NUlgwTMw5KpTIYfWrZnL0HvI4yG46811ov9Rui2bKDJqx+4pstqWJCtxluYuPOcHlv6cvQ6o+luumefWQz/er84qA8Pqr2jJ8zOij3GuwZZWzWmoxKgIqmrWfzKMtqAzOb9dzu3UdrLSl6/fdXDwk/3vNzv9wzPjhreiOzTfOobOjo6b3RcjYYZOZNRsono691bo+MMllGmSYjJ9Xs+VfaMzL2GpcYVbF5ZbyogUvWABtgwUuzGTZrDD6Cg7I/x3VPNmtjQxfmAK4l6Udl457V99rDUVGzjM1BMr5EUt8a8X+mea46KJ9dxnXt23kVB2Vto4oC9HSG6xbM9ggHpfFpDIkqXivNNJuR0BzmnGfOgOKwO3LOzNZ8L8uznqnF0THKbNm6zz3/3lfnkfFUq/Xc+ixZQiLAmwgW+sqdN7UG0YXqWrRk2O/X+j3nA2rWjJ7muj5TxL9xLNkHy0idNcqvoTiyp9qJduryow5K5dxq+WPG8KVze9ca0geYLZWb7/XZPedme34fZL1UirjXW/yWfUUgoGfeErDyCvrklm2p9VXvoKSPyziRKb4WPD816G646KjT6IZHbv6ULcuezzfBcd/kEQ5KZVLZiGSZL4mgV8bqLaej/afgUP3JsaJ/+4z79ozeQWkfKpBkVjhSzfM143TP0RKzz7nndUfHWn/2qzYJpthbYrcPMFo6jqF3UAoi6M/YW+PSB9Au2R0fvW98b32CU0tW5IxU+6E1wTcpCWXmrOqZ+x+95lUclLX9KorZO7ALNZ3+EQ5KNmwltpeORatr2+hs6J55c5j7HgRNma/6OdU8qypBFQ7Z/t+O9ufa74y76hhVQUsgVmSDQByU+4ZIX0d+yxnWR/n5kHw8vTjPUD3xKiOD5VZre4eo60fpxDMOyv6MD/daKlO41C5Run1Jp0c7KPdkefZOB+nY374F+XoIfS0ns8dBKXvmx1wVU8oQI5I+Gp2pREmsB/o+w0H5avzioPxjB+Sjxs8ZHZSMNjWrfevTFWBSo8BHDko17kXaNtnzbdfn94djK12l73q51aDT3+9R42NUEhvLmUj8kXNz1gCz1af+rh36tsqe8yfb70Ty9WcRjZTJkZNKVkIfKbfUdk4n2V8z6z19gROgF2uXc8FsFhkrBDgdMUh9BAclo5wydE0YKGXo7hX6XDXejsovPbPvlZ7Sv6Oz1ThvOHIYQxih9maOnGmeqw5K78kxqP33cNDvHSP1+ld0UNIjfdOi7VvQ3L0dlIyYHOUC9apYKwX3cBC18+HMU7Ir+wDMnntfUlEJqplysBxmnJuy5xkhzOF0Zv+pzrT2PMbeGoTwCg7KvnT6HgPczPi11tRAh73nT7ZnmHME2DYRKGGc9dI7KI1HWSazMqOnuZfIeeeK17M72zOU4uJUc4af83f7dX22LWd3UBpLyvM2URZfYN9ecVRMdeQvBQH1+iwnsrMRZ4UdhD2kydJYZUBljKxVOdpv/s83p4zqUSqh6Pvv2Blg+Ar65GzAW3VQcsgz6NrDe+f3lKNOo0e3WZY+I7yz3ZsT7t4OSvtH47ZmTZoTlTEU1FmPTRLko0TvmvQlNdeqtfQOyr3Z69rRn+/KIcqp+6pydKzZg/blK2WGz5xJV1n86M6uuxQE0jsorS2jkvhLnI0rem+TNdvEI/eN761P7Al4qvZDAQF0Fk7KvX1877H/ig5KPge6gW+9Oc7v7aD0rbJX0NWr2MvSKZSXbvtd9hTVy7aqr1T9ealiw6gs8fcZHCdw7352PzqXwNEme8o6P6I9p7lnHJT7uorBSARTEx+OD3kUAeVMEB9YNS7ZJPbnHrpXf9agf/O7rdTmvvV9Roy/cxKKSq4y46DsS575vQwTiv+sjAzTj3ZQUvYofTPSOyhnU697o+6ME4MzhYOaof+oPMNB+Wr84qD8YrQ8evyc0UG5NxJpxvDVn1G1p5xI/a77TA1Kyujb7w06e+ri1+c9enzIJKQIVpmtpT9y/FlLGY/uISPnqSCQulbPPEd1hN7RwwhvTFQZOalmWbjPHgel62UFfP1CmajWLkY5Y5Wib9M9m330ERyUskzNX/cWpZIYld6z722sGB3XSnTKKuSkZZC3oZw5y+hM89yoxKuzsjmiGWP7Mz7uPQ6W7vdKDkrOGo4Ae4k+Kv/eDkoGS8a2JvYpDGKMP/47R0Y9b5l+7CzftQAKxqNWCnLmmAHGZd8n5wujx1F5BQdl7/j7BW8OlZ9/9IUGv7P/c2Zgk9nykf2tlN+tZcCUmx45u3oH5SP0tNY2a6kM+i1DL8YcViLXOS23spba/c/uoGTw48S6tyx9N70+u+TEXmrPrIPS72ViMGpulWjmrKYLcmg6+3srmOcV9Enfax90N2K2VOLVmdzWRrrgPTKJ946fo06jvc+ZuZ6j8K+8Gt4Fs/RyTwelwEjBGNW2aoxyihp3+pUNsAWec5QIrrM/XBLVUlqJbOur9X1pDPcOSgFDtbz3DK8+4M8c8rfN/PCdrjk61pQDp1veW5bsdL2Dciloeak9exyU7vGofeN76xPOEO8TepaYjUq8+nY47gURHA1cunXMvJKDkm2HUxLXPlHmng5K91bhwl6giSziv/VyudAniP22YKgmWwEWAoqVdm3z7VJJ+FHyliCnex4HsDQmBAvJ1m5iz1KrWtw6lj7s7+Og3Ne1FJ3/4Rq52X5pM94+rno3EVr18GOZeTL0RtLXDLeRr1G+s60cnSuknFyfrTHjoBydgaQU7R5j0KiM6mdzUBozxoFJ+FaJg/KLuuS1vO4W01kDA4cGw0WTLdZbz73X3581fuKg/KLH+qz3I+XQ3Kc/p0GmYc3ebOOjN+jszZ541viQBWPzW2VWwRuV19i7lqx9T6O16sg6IyioN1wqq1OjVrXj2Q5Kz5QhxLAsSGhGbAQYJ0a6Sf39R3BQ9mejzvCZuUbm6j/aXfgefc/Bz2lhA1lLby29w++/boBkr3DkjeRM85xvUODUUnl7DlnGWOUBl953pr/3XvMKDkrzqJKlzokaZdoKwmNk+El7X27heqVBBUE0MV+6d38eHQdlzbhieLDPGYm5+lvLH/6R7kzG/jfK5skcZli5VV7BQcmBUksBzmTV7HnvvsTUkfLnntefy+d7q9lurU3PdFB65ve6BqXKrHB+95YwUKpwYR/cl1Xvfzu7f9h65q1/P1ritS9/fms72u9/x/XMx/5+z3RQtmczPpozZoJ/zVecdtbT/kzVdr9X0CdnszvohYz1oyxi78N4yxDPBkFPepYcdRrds30C5NldOAdbRn9/f05gjirBC7cK56PSkTWYbFQ1jQG+Br7JAnecwMiRzA6oUkS7JxvFKGu4tb13UApstG/YI/08v7dM855n3ePao2OtL399j7a0e6je0Pfnsx2U2vKIfeN76xN7qi9xQC+dAat/6Mb2DqrQPFPe20HJdkNv9w0sneep1LNqKFsZ3rPcer+DCinOja5n8ArcoHMJuGyy5GPx9768MjtV3Uu0e1gD9HMTAd30xmeI6jH2aU0EjNRjpJ7RhlM+Iw7K/d0mIrDWvxbdPopQpPDUaK218xv7w48p0aOSn1utpbgwqFcZZW3OOCjV6Kc4Vdlr9DUB9Kn0e++x9c79hujVMgB71t5HFJwMBoujhYqSjFOfMbvnjDj3PbKZfnV+nz2D8lnjJw7KL2YaEfbKvDQxj9fzm7bmo/Z3Z2hRnpr4xmsWQ/v3Ww06zxofffUAjoAZZ4n3HDkolxTJWb71OmVt+9LcNmZbZQX7Z3mfPstH1Kqs1irv4aRqz5dlpESUrAHvXctIjdgZzzZof2gB7EdwUPZnlh0ZQ6PfjIIF3rPvGd8ZqukFzgvZ2mCJ1HeW3ei8lbPNc4yN9GzOSmV/RmKOFUzge50tt3zLWHkvB6V5yhzAuMCYPhJZk4wzjNNr2Rl731/UvzJ1TRhbRS33IrKZbsvQTkQqCwIbZc3XswTpwBzyS+V7zXecI+b3KuY395Ep5X1FZjNC9BHSr3gGZe+g3HLQ7u2zP3w9R7v97qiBhOHH/q0Jx4igiV6e7aBsz7dnlinFWU9n28qs9Y3IDOLEW5Ije6q9/TNz/VEHZX+m48yzZq5ZOiv9Vn12TwZl3046pQw2+nstqTZ6H8ZpurMApH6OOJs+ydhMJ+AAWTpvkLG5nb9mXn60HHUa3aNdHNXtHOaloCZzmbWR8+1eQU19mXJBOqPsXv3FCVjPwZTtxhnQS6+fW/e1eUl6B+XXvp1/9kt2Qu3vISNUO15Vjo61/kzHe77fKMDgPRyU7Z3uuW88mz7xpdd9g6ShpQAmWW4qg8h2pjc+Wt7LQen9ZWMb+0tBLRyG9lGOtLtXUIusb9mqLfHK+kuXHB2p1ldgsa+TZT7a09Vyw2uVDHsH5R771a1jQUnbGlh+7wopt7bvZX8fB+X+rrE5t0lvIhpTZkxVctRytsFuB836m4iApWhNE4YyDlWOlHgVEdFvtkalQmYclCND3N6yfCPF4TM5KCkFJs0a2S6iURR6n9U6GolxUF4un9lB+czxEwflF18gBfWnlo/RRlJ0615RwqGe28FZUM+Bave7xaDzzPFxSwblqMSr4B1ZMPcQHJQIrHLk/sqy9wr5qJzMezqp6jvKunH+SfvPklHOWZUiFRmpevkIDsr+jAflEW0CHiGv0vc2er5JTh/9r2zOyFlNP2UI651UZ5rnaj/as/i2GXsYokfvLMCPUU3ErLH/KHm2g9I5twIm/GeUje89f/fV8MoYLdL9ntKPfdVkvmzlKIq+hBoDg6zH6ny0R2C4+JOuDXWmNGfMkoxKGgrKNE9vlW50z1d0UPYlXkdZN7f0ozOxakT60fv3paqWytG/l4OynyeMtTY/yhIYBXTIMJYFumT0P7uDUhnery5gBAjYxz9KbtFntekWB2V9J2el6nv/YRxkkxnJ6IzLs+mT9b2cXWltdE7hknPOGLA/4UB7VIm7o06jo+OSXsCuYs8lOGFk26T//sbrGdYc7PcUzxMo14IizCuql5k/RmIvqA3NYK8ftLvfE6kO0YKQGOrtpdYcqr1zkdOT83OP9Gcib5VZ3HPvR1x7dKw5vqNW49IHMh/7o5/u1eb3dFDWd7h133g2faK9u2+NnqjSQi0zWtkIFmOL/5WTZ6AfHRvPdlAKEjc3GvNLepBgfHsa1VDuvS70Y988XO1sPce+NL2j5azlNStZMFqtELWWBDYq8XrEx3Kkv/vAvnsHIB5p0yl+EwflsW7qDwn+qrcU3m8ut+prhS9FUrWfiIpiUKnCAEHh2SPKWShdU8XGvzdMzjgoRw6LPan12jA6x/IzOSiViHM2TxOTPiPPjHPSb2yca631rbKjRzbTHz2DUhkB57A28Y2Mzh14xRKvzxw/tzooOUd6IzgjAQdzLwytfYbE0rX1t88wfFFMneXVxLdqo7lXZNZTiprYaNaI2fbvtxh0njk+RmdQMoDMGMFFk/YZfHvOkdhiLzqvj64zd8oe2CPGYH92IyW4ljR0v1dxUvXvxrDGMEVR52ytshS19xEclKIwZT00WTqHYs9YWLr2VfuekUbmkOoefak751HJuKxypnluqS+sWebqtchoWdSMsRxfe8903xovz3JQMlAyLtgnjLLWvZeyhdrzyFJVWBs3TUSc1yCcEa++xKTsRw71ZmTtKw0IBhIUtCR+XwOGlDNmfBkFX4zuITLc/qzJK5R47c/8OnoO9RIzGdT1jEYMRNDvFY5kBvImMnNk6PTyDD1tb9sZJzkwGMqMvyp0E472kYP7yJ5qb9tmrj+aQflLL5eLCk1NZs53nWnP0jW36LPueS8HZW2fIBa6N0ctnZwTokofeH02fXLUFzMVB2TKcNDKlFmqsHF0LBx1Gu19nj2IoBU671KJ30dkBPXt7G1dAoXquWOj9+pLjMr65zgR+EP6imgzhu3eQbn3yBDP7QP+BPU4p/NV5ehYE+CmkkgV3833POhFX8VB2b/e3n3j2fSJUXcquak/ZNwv6dT/xjXIsT/a5h7D4xkOSglSMrjNM0uZ9Y+qtNIz4t+wf2lir7pWuYLNyJnn9nhN+uqItRS1wHLXLn27fBf2SFVmz3m+tb/7wL57nnl8a9te+vdxUB7rHnXda4Q+pyAjSRMRanVC2CrLQCnpI71FfO6dGPvN/tK5ZzMOSo5Nqfx1jJjoGCVmpc8A9LvP5KDsIyd+81vUnIlyVmz+9VWTOCi/2GD++kmAxi5mNWLoTA7KZ46fkYOSMaptlraQj0pCn9FB2Z8PIhvHXDg6H2SNSd93S+c13WLQeeb4sPmXBVplTxBNX8bunlluvnMGFpvLJkfOXhmVSB+d4fyqTqr27gxsNt61/COjsf7qIyM/goNSufRaatDGxwboEfLqfS8qlBOpZs3gwFjGaNbkTPPcVj/OREaL+uaYER3NEHgPeaSDUj9yStC56/kltd2CMmRIKW3q/R4tzrJiJG3CwMPAvSbOzuKAq4aGtl9SBlYAUMv0EeQp2HNJ6HEMEK0yjes45BlhZ0WwCUdVk1dwUPZO3HtnufXngSqDKyBvj/jG6NI1Y3l0PrN7vqKDsr6rvbp5oL7L0t727A7Kv70rUU8P2yp9u2dc9Nfeos+61yMclLWNApnMM7XUX68vnE2fXOuvmYoDvmt7ahUHZoOnt8bIUafR1n3b3wXEWn/s56ve3/4uC855jdZoc/y9M4L6dvYBzr4Dzo8t4QRhJ2vCmC0Ax5E/glpbppc51X6aTW5NegelY4Tq/bfaY7wI9qlHTAlwcLTVq8rRsTba0/Z68j3f+VUdlO0dZ/eNZ9Mn1vrQO1sj/463c3rpoyMR1MPuLeuvPwLm6Ph4pINScDIdR6Zo1btrWz2f7m7enwkyP/qe7Xf9vGQfvXQGdPsN+4XfVQdys//2voWtc9t91+bWKoJ2Be8+WvqAD+PNvi2yQSAOymNDxIHb/3X5KUegrCBKkQlPdlDb/IhQ8Le1utaMETbeVSlYS1deanW/cCxtvmcclJ7Rl9ek7GnXrHDiMhRX+UwOSuVca51v513IepoV5T5qtO9ndFByitTISIpEXw55iacyKv2G60wOymeOH9FE39WBdNZXXzpziXWfNe66MzooKS3KSZlr9XQAACAASURBVFSRobHn3BYGVBtKxtkmP/fNEPvLBvBuMeg8c3wwAljLqih3PlsqqT+TWTSbkuSzwqBUS2VbL6ti3QcFbZUKHD23d9p4hj7sjRuv7qTybnQUinHV8UbO1o/goBSRWM/Bk+mztDGbHW9L152h72WIWDdlBTXpnQlnmuf29Bn9kiGIc28UGc3AwNAgq1KE7i3yCAelUoR0HNmKtSxnbaez4T1bWUoBNM+SPgByyUHVt2dkaHA+s393RmoT/3utJK/xLGOyitLVsipnhIOTU/dPKRe/goPSmZDKrjYRDW4czBrVvc+XlN8b4zUbUDBQLfPHQS9YZU8pu1EQ7VJ/vbqDEqp/8Xo2c8O2FEB2dgflqPLFTLWSme9pdM0t+qz7PdpB6RnOHZU12GQUyH0mfXK2r+hE5mzGa2UeR8Kpx1F5a5m/o06jrXdR3l0wgey3kf3SHkX1Gsb32b3r1jNn/t4HNy7NJ/297C84QHyTTbDXDzXwZtZJ2DsC2CllyM3K6DiOURWZ2fs947qjY834sdbWffqSfege7/HqDkrvOLNvPJs+MdN39kztHN++2kxdJ9geBTr2trKZZ9RrHuGgtL83N/70cmRCfaZKKwIW7B16G9fe9u+9vg+mH9kiRvf82ddjGdrf7HfYjfRBq+ZBpzdu1xytbHLsOTVZ5edc94Ez72Ku6I/VEOw1c36xdrUjLDxLVitfTWSDQByUx4cII0Et2dc2a33EIk+5f9uS/gPeiibu78e56YOpG9WlLJJZB6XNO+WkyUzZitouZ3UyYlf5TA5KRoKq/OyJnFAyxCJWo3w/o4OSwarWi186TH70ffWGa9ecyUH5zPEji6EvjyALfLZkHMXHwlvljA5KHMyj1bi9FZ3Vjz3Z731k1lJG/C0GnWeOD+9oM1dLhzIuiwCekT5YRSSwjeVsRCIlVPBPE2cpyJxr0hvP//fr/WcUyHYPmSX1fKalTJNnO6lkr1DMZw3W7X36s81GxvyP4KAcZW9bMxh+7i3P7nvrv7loLcBt9I6y1Kx1TfrgqDPNc0f60GayRUbXEu/1XhxbAsYYA4/IPR2UX/pmcHVelO+xBiq2dul/xnuR3I8Y1zPv3+tTfcmltXv8rC6wjHOs7j/7KjSje/2QgVNZ8FpfWn6pHRy/sk2rvIKD0ppjranifFl7whnpy2f1e85RZQBZud82c/PrNX3VIFk29jYjB/mzHZSMPzKO9kh/JtG/Pyj96n5nd1AyvNLbqlNeIFYN6NnDbevaW/RZ997roGTv2JsB0jth6FU1K1s7zqRPbvVJ/3f6pPO/ZNj09pl2rUAQpT2tcUfkqNNo6Vmcypx0tVR1vZatROUIgQd7x8OR9+t/0wcCmFuXKh/0v/2h10yharur66M5yNo3E4zUOyg9i/G+P7pi6Z05NzCsIsjeUTmvKreMtb6iwtZxXLcweLaD8lH7xrPpE3v7zB6vneNbv8l2HzYFAdActUeDIO7poGRbsr9bqorBduIcWU69Z1RaGfHu7YP9sXhrfeScWPaeJv3eYbaqHpscVk3s+4zlGRkdV2dfueWoHpWLf2SW9sy7nOaaOCiPd5VMQpFmTZoBqF/wZiN8+/NdRDvIAOsjhpda/DO7s/V8xCKnRr+fdVCKMKhRXFsHf9e2fcXCWTKfyUHZZ6Aq2ercli2xqeQYwrAKBXVkvGrX9JtpkZL9maT9s1/9DMreST5bvo9RVwkBpWCqnMlB+czxYy3goKwK2WxJZ0ZC5xL0m/w9DsqZTdSzDF+9wY8BlIIyW+a1P+BbP3q/kYPpFoPOM8eHb6gPONlTXk82rvmpiqxb521tyV8yMKbKpnG2TJORAmlN7DfbS8/SP9pXzydiFNGXvTzDSaUMIWcFA5J3E91ZD4TfYubvlGeZ0U1GmcC9g1JJ53rO2Mxz7nXNLQ6f/lxwmxrGllmRUSCq1LkWsn0ZrPuMYfd6Rt/7VuiX+p5hiuFNBvYe6cvejipynGWe2/Pe/bW+ZxG3DA508V72lkCrv79lvPbtcI7WaK4xxzMsyPgROPOe0jvSGFnMKbMia3V0ZqUMJnMcR8qajMrQC05QCm9LGFll+9fSjn6zx0ix9Yyjf6c3yfqujnSOmlq2eunejJCMTjUjqtdxR/c31qxvM+IbMr9WXdq6an0dyaP1NA5J+21OAf/BrpYzn3mnPpB4qeLCkT3VzPP3XnP0DErP4ZTnnG/CJvDlO4LD/E7JeI4fa6P/LB39cIs+6zkzDkqONXORvpdl7j9bc0fl3Zd2HJW9PZM+uXcs1evZGKyNSuL3FQfoPzXAes9zbnEajZ7T73Vc0zKCZEvKeH1PMScZR+ZjYq+oZOR3TzZKsKdvp7fJsrnJ6JqtEjByUArCMl/OiMo29Rii77zqoDO/fa9rbhlr/f7HmKLT9HvVtXfjqBJQ1OZGzEbyDAflM/aNZ9Mnjo5L5yDSpWSdj7KQbzlL8J4Oyl+3oIu9V6WVEe8+QN2c7XuYEXMqezg7UC+qDMqqn5E+QJE9zn5+pqz5P/SWfSkgs8lslSZ6ab8/eeQ5tzMcTnNNHJTHu4pnnAGwGeUZtiwONfuGUsWQOlNKx6C10WznsWiZMwsZJrd+L6vF5lsUdpNv6c5aqW8666B0P+9QZaa2vjRq0QrOe+jlMzkoZcH+uAJgxhjim+T4NnlTbpUHrmLRlB00EhmuJtwmM5lfr+6gVPpKCawmIqU5E7YUf2cmcKD0ciYH5bPHTz10GjcOKQvs2vzDYc6Y3zvT/X7JQclIyIhVZSai/9GGr9aeUUbDbNQ5Xr+zc9YqZ1fPkq3vfYtB59njo1eE14yUo/mpj2DzDct0W4tCMx/a+NXoQJv1kbOhvz8lkpNny3jlGTJB68bcmZYMXzJFenmGk6rP8FCO0to5m0nXK8Z+ZyPfR5czTBmDdX6lg2zpHOMV6LZ/vcXhw/HBAVJltpSKLEXOOkbgJksG62f0fZ/hoc84KmeD1QSZiJivGcfmtN6Id5Z57rZR9Ud/zfBErxKN2wJxXtFB6duz8fY9cAzszZy+F6/+PkpsKw9KB20yG73seo4uQWO1ZL9/n3XG+b15uQZRORNTttOa2FtZK82fvU5t37SUReSe5gblqKpgICr9ntIbcPS5vYNxsCZ9ZqO5wrrV7xH6+zOg09lmnLv06P4MsrV93DP0tL46AEOzOXxW+sBHfBiaezmyp5ptw57rbnFQjjKP9aeMtBnpg7EdYcM2MKpOcYs+2+aCn1waNTJk9tUBOGAFeM+KYJ8aKExvHJX1O4s+Ofvea9epOMCAy3HfAiVe1UEpoKWdvfxKmX39nDJTFaD2iSCkPmhEiVYZlrNZoSMHpcBjuo/90Jpw+NvzV7uwOdHcuCRsMbVsIvvMbLbmPcate9zioOSUd1RKLd/IDuJopZnqPmycmNfEgaUMqWc4KJ+1bzyTPnHrOPM90MX0n8y/VtXuFR2Ur1BpZcR7ZI/wncxWP+FHcWxJDSD3nNkgd9faB7A11f0D26W+FZiwJOYX+5a6n54N+ugD4WYdm7eO2Q/x+zgob+vGaiC24VPGqGas/cLBGYxrTxwZ2SjfMhmXFkuRwerd13ISrhVtsBTJM+ug1Nb+EG//RrlnGBh91DbHDNmiGmzkRT/U8jKfyUFpA/hLuw7ncGYUGwnHDaO/sro2fxbD3kDh7AVnFIxElEk13FOc/O81Y/OrOyhHRlQbAQfQj5wHlGVOTcoDxZxhv6b1n8lB+ezxMzozdu3cVN+68UqZ//bruW/OTmqy5KCkZFCkasYlI6M5ZU2eYfhqz5epW89INL9TNtYykkVRmi8rg60N5i0GnWePjz4CjcIoy39WRs5bit/feM3A7e9DobT+9ZkkAoEE4PTC0Ky0UlVilckzVyw5QUU+K2Vl7a6ydtbtM5xUnIQ2+nUsUaZlWi1lL7T2y8BTqqhGfTqvDudeftQ1wKD+u7InR8tezo6F0XW3OCgZGhjbGWObmGO++o3Db1hplDVXFi9HbRN6jbE6OqPwGX2vHX0lDoFiHGtbZR85j379m6HpJ5T3YVCmJ44ywM8wz90ypka/rZHRMv/pZEfklvHaP893zcHu/Cz3PVo66sh77PlN7xDzjZlXts5UMY8pT1udD/W59jD2P1uOPw5bOnATwSeMhDWbvt6XEcQaay40nzIs1ExVera2jbKl3WdU+n5PadtZttY6UfX1zHptYnAUqNoLIxnHob1Y3cf/oi6gr/3OHoyzrQaxYi2IY8lJ6b7WRRm89agJZ7gqEbkkz9DTVKOpQV/GoUwHe8+1/Q6dk56pnHIT1zPg00V6ObKnmu3zPdfd4qD0HH3ImFfFmei+56WgJwEJONsX1DHGUMtxOJJb9Fn3m8mgHJV0N3cKZN0q9fvjr47seiaUjExVCno5iz65ZxxtXVsrDpg765EOW7+tf7/FaTR6jvndfGVttFbMlDvd0957XDs62sN641iatSAjuqu9nO+sr0KkXfRQjkvBNFvSHxXlGBB9aK9mrl/SKzgA2JrqWZjsJ7LmOYSXpD+CZ09p2613mf37rWON/tIHt9j/qBBAd14S9gFO5fqNrCVwPMNB+ax945n0idlxNHOd74Oe4Xv0bbMdHJF7Z1AKsGErUcr1vSutLPEwv7AVNhFwS5c3N60J3cyetu7t2/X2tHQ5evBMQMEo2M4emJ2gntve7m/fwHZSn+06FRa29iru0QdTzQZjHhlTH+43cVDe1qV9vXYZkLVMD0PhHkOD/mB47VOWGbltvET2UBYo16Lsef5rNHh7m63DX/c4KEU729j25T9MKjaq/r8NjggkCposlJYFanMrAkupiyZ7zlaZ6Z1XdrApuyRiombFMn7KkDTpif7jwMWYM5JC1Jy5LWOLk5cCVid1G02Tuz6pk/uohJZsIwYOEXjGDGNEPTfulfl5Z9+Eb6gv1SryRhk7BkbvRkkUAUjZbOMNJw7xWopqqeytDK1qlN8673NmbN56zbPHD+UL6z5KiZHGGLJJNH5FEvnWGU1EI/n+cVYephrA1sq2fsflcrEBbsJIxJGgLIVNmv5mNKilVp5h+GrtMZ8564sTtorvSflICmbb/JnnzXs2gHVNtYnGaS1L4RaDzrPHh/7Sb7XPzE1bGYqV38gJzkjMISNi3fpmTMms5DTqDSScSb2hrd7/664bh/pvsm4Y/q2t1mh9JDOdUv/TOqOw3xnH1Tndf8fPclKNyj5iJUAFK2sAI7b3sW743rwTpb9+w+YyfTeKbOags8bUcet6mx1zLMO59al34N46t41+f6vDR7/IXq7rrecInmDUose0MlzmOsE7HCY1gMr1a1lZz+p7WVvaXQ2p2sYAJaNYWRrvYjz4XqztgtKUCuvLsnlH7z+SM8xzjxhrTbewzsxG8fbtuHW81vvZN/iWnc37yiIAzD6ErlVFxjHjiL+1s6xdK3CSA5jeNTrPp97Du9NNfcPtfGXGCRlczcA7Ov/I/GVPQ3+zFhn/5jvfgnmcPmEtNjd6hnmgioA3Rg7rBAdHPafnWQ5K7fFu5vbeSM3oq432C+ZpQUHezXxfxdrMebNkqBHsJ6iW46kJA4+9CO7WB0F/1nTrr6zEvnSqQAl9j9WSPENPs29isO8DpOyV6aqCcxmX6aauNc8xMhkPjPFVOO8YHUdyZE/1iO/3VgeldcR60mcDyx6yj7KuMLhxRNN5rSX6v+rz3svaI0BsyQl8iz7r/jMOSteNytr59gX/0re9l2/dWKcnGyf22PYp/TdjjC+dVX4GffIR48097Wu2jMdLz77VadTf95a2PIrP6L6jQABOPDYfBvrm8KKfK7MsGN3cU21ko/ta/6xvvj/38D2b/9ng6npm7azJCgIMZAzrD+uCPbY1hl3KXE/v8D3T73u9eeZIoo/goMS7P5bFv5k/zEe4C3DFD0e6hb1pvzbSGwQ1LDl0n+Gg1O5n7Bs95yz6xCO+f7qtsbAVLLz07Hs6KO1h6G6vUmll6Z2tweanuj+lb8uGN4+xt7V12JoteFpwOl13y1fl27PHxbV9p/qor1xGvxHo3VdMoM/awwgG8d8FLbLdCWiq+rJ3E5ynvTPCPl3PTZ49Nmvm3h/+mq1O//AAbnxBC7rFqJY4aLc8GknkXjaMNUp4tpkmKJlj9WzM0W/3OCj9XgaKhbpG0W61iSLE+MvhUTM5TAyMq/eSV3ew9WeDzry3qBz9SJbqi/sbo4UJtMkosrR/nohZmb1NXp2fdlqoKPd7xl9zZPTnryxlRr2ig9K7P3P8eJ6MyRpdvjVezTmi/H3v/Xk9awEafU330XMoCLKAmzzD8FXbwYlhc9IbAreY+DtjCcPs1tkhtxp0njk+6AuMpNVpK0CGgWuP9OvP7G89x1jbOgt07xiuzzeORUeuRWg/y0mlXaI0GcmOilJ/jLKU8iVhsGC8WxK8+6CFo+1Z+909HD4MBNbFvjT6bHuNTSWZl+SZfS8LUmT3SL+ceR9GZEamvopD/9szzHMz7/vsa+4xXp/d5ns8z+adoVTpuZFwUNILainYeh3nkWoEgvDsLbaEgaBWaxkZE9fuwehhnbKvsoYx5jjPciSMuTLLmjzTQemZdAZ7rbWz5kftZqQWnc5ZuyaM0QwxfeDDVh/4OweofWl14I5+9yw9jV72WwdOtJl3addgYWwsOXWP7Kn2PH/22lsdlJ4jGEmmc++km22DPZjxuVZu8lZ9dtZByensXWrp/9n3aNcJ8vE9cGauyavrk3vf+xnX39tB+Yw23+MZgkusT0vnn3MK+o/Ay5H91dypXLH1qc+OH7VPMkOtsiUIoR6txMDPRknH37OmCMK119o66uGjOCj1mwoPe0pF1/7g8BVgtJaQ8iwHpXY9Y9/oOWfQJ+7xXd/7Hvd0UN67bY+8H93Dut2fBe+Z9gyCNK3tS3te+oUqISq3CfBYE8GSP2JwAZ1eEHrN5px5Z+3jYFyqHtHfwxzeV3bhpD0a9DPTxg91TRyUt3dnr1C3O66VQdl6KmOgqCqGyVribetjZFjbMoi7x14Hpd9whMloqiWIRu3xETvfQlsYNtW0r2e83Lt83BkcbIwxnMZbCqLJmePmVxewnLsY9lkeLukdlP5tFPFb++mMDkrtZ6y1KPXZIf0YZIyinHHCUq6/8VoiuV0nGp9hsZdXdVBq5zPHjzXBhtzcs+WUYAyTGdHKu4lor0ZL2Q8UsZH4FgQqjA6+bte/t4NSO0Ry4WHj0meRL81/oqvw68/vHV1/q0Hn2ePDPOYbajJzJvHovUWgKpU34/zl7FW+S9DBrHC4ub8xOCP6SnZnLf+39LtnOqm0QXauNXtPOV1zHyWcwX3r7EJrjAyKmqlf3/1MDkrt/v5v/0dZLY7mrTmsvScDv7VXhtGaPLvvPc8attcQKxJUOZv+3MmldzvDPDfzHT/zms/qoMTYWkiXtGGXZT0j5lj6qX2EABC6Biel+6zdo3dQ+t/Y04u2RHassv6MFU1khi1FQM84KLeCGLbatPV3GYq//HK5/MitC68R53jab42OPBjdQkQ343cNblx7FIezfrOezmT4PstBqc0M/d5FoFYf6b72TrIF6XWyfrcyD/buqSa6bfcl93BQeijjnwpL1rrZ8p0cHI5gYMDfYnWrPjvroPQunApKY/pmRwbPJciyar2LPWJ/VuvSb15Zn9w9mJ7wg8/qoGxoZdkwpKtsMSPGoXKh1paWgScYxNyztkfqHZSCf+qexxzPTmQvrUxinxHdt826bJ63F1o7l639rndQqoB0NABihtPomnuONQFT7EeCq2fEXKLf7E+35pJnOii1/dH7xsbn1fWJmX589jWf1UGJs2oWknB8a6OS1qO+MK+YG9vxaIIfBRLa4y8lriw5KN3f/sX+mN48s3+RfCHLvCZMbI2ZvpysuXlUpnbrPp/273FQ3t71HCf9GSGcJLJMbNRuEZ5+SopSrqKiOCsZkkR7urf08t92NapJnZ6VIw5K99Yek4qFj+HMRGPDIyVa5BBjGANvNYiKtK4laxmm1Xy+l5zBQeldjQelCUVtKJnH0Wac2CibuBhGZe+MlBwKp6w2JelMpkq7WeAoRjZ0vdism0yVotA/HJ/ffU1fZ+Svk+xZ+HlH725BMp68m2/BQuP9LCCiqTGpEbF9JBlF0sahl1d2UD57/Hie6B9jyJjjwGjGDE5J49WmR9nMarASHFEjlr7iWtJh6VtX8o2BwZzSNmHmEv3HKe8s0Rqt/0zDV99mpXCUcBVgQSG3KaIk+V61y/xn/HHWbjmE6r1vNei0ez1rftG/NQhGNL11YC2qfqn/GRQZflrpLaWDGZqsb8aZMaAsK2Py1tlCo2dQXJWhEeVpg85x1Zxw5lBzL8ecLFnz71KZr/7ez3ZSeb538Q7eRcCPsi5Y+YYYDRmRMbMuUOaNK1G9s8JwobQpXQMnfaDMonEtKnstq3D2GVvX3dvhwzjEQGO94NzV9+ax9m6cF97NXCZYYitaXPvfo+89V2k+76J8F+OJDFF9zwFrDubEtwYqk8MxzXB0RF59njvyTo/6zb3H66Pa+cj7GoPWb3qCsqDGpXXRnGRdlHFP35TBbZ4dZb/b18hiM76NbeuAb5TOyshA5xt9mxx5zo7xbCXyBPFZJ+yLjH/GDP8ZPdMehu4hoMo65Fmq3sg2rt/OKINy7Vzue7KmP9n/qSDiu8TJnt3a5bxEez8VVtbOyVprD2OJ+9N9zf/mR5Hr5hJriSAH2Tl0mj1l3N9DTzPujB9OXXO9uV/fCYQzJuhp9DJZoMrJG4uz6z2Ge/ZU9xwD7V73clC2+9lL6Xtro+/W2KJP+M6wEvmPFf3L+rh0TmX/rrfqs3sclO3Z5iB6i3FsfVbC1xwkS9g8QjcyJwhC8s1YH5fOnF3ru1fVJx8x3m695z2dRre25b1+b7zQ1+0ZlQO1pzYu2Sza/kM5YnYz39jI9uNa66vMZXq/vRajvjnWOmUNq/tN1QHqOZL1SCVzoeAc+1jrHj2f/miut+eWZalKzZ79a++gtM7vzUy6tX/uPdbwNZfoN/tda4v5senabBLWX+9qLlk7o7O+27MdlM/YN9b3e1V94tbx9Yjff2YHZeNJp3X8iIAGY4f+QS+hr5nflOt3vBTbjH3tSOyLBYP4VumwbMLWe7YPARkC/dbE9fYC5ml2dnsPc7R7+M75VewhzI0z9oH6rP484D456BHj6kPdMw7KD9WdeZkQCIEQCIEQeCiB/vxQ2f7OXomEQAiEQAiEwEcjINCvZSg6fkEEeCQEQiAEQiAEPjsBwT2qITHmc6ZGQiAEQuCzEuBwFeDXRGa6AJWjwYSfkmMclJ+y2/PSIRACIRACIXCIwN/SlUJ1lo9ItkgIhEAIhEAIfDQCsvKsc+TeVWA+Gqu8TwiEQAiEwOchwPAu01DpZGXfIyEQAiHwWQmo5KfySxOVJev//qxcdr13HJS7cOXiEAiBEAiBEPjUBJQdUh6znq+iTEZf6vxTQ8rLh0AIhEAIfAgCqgR80/VNlNfeUwbvQwDIS4RACIRACIRAR0BwqpKnRMl1xvlICIRACHxGAkrXKk+r6gpxxIQjyX7vZ4RxyzvHQXkLvfw2BEIgBEIgBD4fgZ9yPa+kvbnsEjX8R+d9fT46eeMQCIEQCIGPQsBZYc4R+33XMw4/ynvlPUIgBEIgBELgKAHnNjsL07nTglad3RYJgRAIgc9IwLnwzixv4vgjAY6RnQTioNwJLJeHQAiEQAiEQAhc/sPL5fIVhcPXvJX5+VXhEgIhEAIhEAIfhMCPvVwu33J9l5/3Fhn9iz/Ie+U1QiAEQiAEQuAogT/jWk3ge1/XyK88eqP8LgRCIAROTsDZk//p5XL5467v8Ycul8sPvFwu//PJ3+tdmh8H5btgz0NDIARCIARC4NQEvvxyufyuUsrif71cLn/h5XL5rlO/VRofAiEQAiEQApfLn3i5XL7zrVrAD7pcLn/gcrl82Vu2yB8OmBAIgRAIgRD45ARqttAPv1wu3/bJeeT1QyAEPieBP/5yuXzrtdJKI+DcSedPRg4QiIPyALT8JARC4FMR+F6Xy+VLnvjGf+RyufwfT3xeHhUCRwn8nMvl8o3lx9/8tkn9qqM3y+9CIARCIARCIARCIARCIARCIARCIARCIARC4IUJfP1b5uQvKO37TZfL5a9/4fa+fNPioHz5LkoDQyAE3pnA110ul294YhssdL/wic/Lo0LgKA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style="background-color: transparent;"><div style=""><div style="color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));">authora对double的特化<br /><br /></div><div style=""><div style="">template &lt;&gt;</div><div style="">  void matmul_authora&lt;double&gt;(const Tensor&lt;double&gt; &amp;a, const Tensor&lt;double&gt; &amp;b, Tensor&lt;double&gt; &amp;c)</div></div></div></span></div></div></div></foreignObject><image x="792" y="771.5" width="618" height="61" 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diff --git a/doc/front/py/deepx.rst b/docs/front/py/deepx.rst
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diff --git a/doc/highway.md b/docs/highway.md
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diff --git a/doc/index.rst b/docs/index.rst
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index 0162c9f7..1566faf5 100644
--- a/doc/index.rst
+++ b/docs/index.rst
@@ -18,7 +18,7 @@ DeepX 原生分布式并行的深度学习训练推理一体框架
    :caption: doc 文档
    
    front/py/deepx/about
-   excuter/op-mem-ompsimd/list
+   executor/op-mem-ompsimd/list
    deepxIR/ir
 
 .. toctree::
@@ -27,9 +27,9 @@ DeepX 原生分布式并行的深度学习训练推理一体框架
    
    front/py/contribute
    scheduler/scheduler
-   excuter/excuter
-   excuter/op-mem-ompsimd/contribute
-   excuter/op-mem-ompsimd/range
+   executor/executor
+   executor/op-mem-ompsimd/contribute
+   executor/op-mem-ompsimd/range
 
 索引和搜索
 ==========
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@@ -1,4 +1,4 @@
-## c++:计算执行器(excuter)
+## c++:计算执行器(executor)
 
 负责实现tensor的具体计算过程,对接硬件如GPU、CPU的simd指令
 
@@ -33,9 +33,9 @@ deepxctl:提供对deepx体系的所有工具、库、模型、镜像的统一纳
 ## deepxIR
 虽然deepxIR不是独立的编程语言，但是deepx体系的程序格式标准
 
-excuter所执行的内容，就是deepxir的序列或deepxir计算图
+executor所执行的内容，就是deepxir的序列或deepxir计算图
 
-https://github.com/array2d/deepx/blob/main/doc/excuter/op-mem-cuda/list.md
+https://github.com/array2d/deepx/blob/main/docs/executor/op-mem-cuda/list.md
 
 deepxir分为4类
 
diff --git a/doc/scheduler/scheduler.md b/docs/scheduler/scheduler.md
similarity index 68%
rename from doc/scheduler/scheduler.md
rename to docs/scheduler/scheduler.md
index c1d9cf0a..5f7d258c 100644
--- a/doc/scheduler/scheduler.md
+++ b/docs/scheduler/scheduler.md
@@ -1,12 +1,12 @@
 ### scheduler
 
-DeepX框架的scheduler，是front和excuter之间的桥梁。
+DeepX框架的scheduler，是front和executor之间的桥梁。
 
-front只负责搭建抽象计算图，excuter负责执行算子，而scheduler负责将抽象计算图转换为执行计算图，并发送给excuter。
+front只负责搭建抽象计算图，executor负责执行算子，而scheduler负责将抽象计算图转换为执行计算图，并发送给executor。
 
 #### 算子注册器
 
-算子注册器，接收excuter的算子及精度列表。
+算子注册器，接收executor的算子及精度列表。
 
 
 #### 调度器
diff --git a/excuter/op-mem-ompsimd/.cursorrules b/excuter/op-mem-ompsimd/.cursorrules
deleted file mode 100644
index fa3e3454..00000000
--- a/excuter/op-mem-ompsimd/.cursorrules
+++ /dev/null
@@ -1 +0,0 @@
-excuter只实现基础的op，不要实现可以由基础op组合的op，如relu可以由max组合。
\ No newline at end of file
diff --git a/excuter/cpp-common/CMakeLists.txt b/executor/cpp-common/CMakeLists.txt
similarity index 100%
rename from excuter/cpp-common/CMakeLists.txt
rename to executor/cpp-common/CMakeLists.txt
diff --git a/excuter/cpp-common/src/client/udpserver.cpp b/executor/cpp-common/src/client/udpserver.cpp
similarity index 100%
rename from excuter/cpp-common/src/client/udpserver.cpp
rename to executor/cpp-common/src/client/udpserver.cpp
diff --git a/excuter/cpp-common/src/client/udpserver.hpp b/executor/cpp-common/src/client/udpserver.hpp
similarity index 100%
rename from excuter/cpp-common/src/client/udpserver.hpp
rename to executor/cpp-common/src/client/udpserver.hpp
diff --git a/excuter/cpp-common/src/client/unixsocketserver.cpp b/executor/cpp-common/src/client/unixsocketserver.cpp
similarity index 100%
rename from excuter/cpp-common/src/client/unixsocketserver.cpp
rename to executor/cpp-common/src/client/unixsocketserver.cpp
diff --git a/excuter/cpp-common/src/client/unixsocketserver.hpp b/executor/cpp-common/src/client/unixsocketserver.hpp
similarity index 100%
rename from excuter/cpp-common/src/client/unixsocketserver.hpp
rename to executor/cpp-common/src/client/unixsocketserver.hpp
diff --git a/excuter/cpp-common/src/client/worker.hpp b/executor/cpp-common/src/client/worker.hpp
similarity index 100%
rename from excuter/cpp-common/src/client/worker.hpp
rename to executor/cpp-common/src/client/worker.hpp
diff --git a/excuter/cpp-common/src/deepx/dtype.hpp b/executor/cpp-common/src/deepx/dtype.hpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/dtype.hpp
rename to executor/cpp-common/src/deepx/dtype.hpp
diff --git a/excuter/cpp-common/src/deepx/mem/mem.hpp b/executor/cpp-common/src/deepx/mem/mem.hpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/mem/mem.hpp
rename to executor/cpp-common/src/deepx/mem/mem.hpp
diff --git a/excuter/cpp-common/src/deepx/shape.cpp b/executor/cpp-common/src/deepx/shape.cpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/shape.cpp
rename to executor/cpp-common/src/deepx/shape.cpp
diff --git a/excuter/cpp-common/src/deepx/shape.hpp b/executor/cpp-common/src/deepx/shape.hpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/shape.hpp
rename to executor/cpp-common/src/deepx/shape.hpp
diff --git a/excuter/cpp-common/src/deepx/shape_changeshape.cpp b/executor/cpp-common/src/deepx/shape_changeshape.cpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/shape_changeshape.cpp
rename to executor/cpp-common/src/deepx/shape_changeshape.cpp
diff --git a/excuter/cpp-common/src/deepx/shape_changeshape.hpp b/executor/cpp-common/src/deepx/shape_changeshape.hpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/shape_changeshape.hpp
rename to executor/cpp-common/src/deepx/shape_changeshape.hpp
diff --git a/excuter/cpp-common/src/deepx/shape_matmul.cpp b/executor/cpp-common/src/deepx/shape_matmul.cpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/shape_matmul.cpp
rename to executor/cpp-common/src/deepx/shape_matmul.cpp
diff --git a/excuter/cpp-common/src/deepx/shape_matmul.hpp b/executor/cpp-common/src/deepx/shape_matmul.hpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/shape_matmul.hpp
rename to executor/cpp-common/src/deepx/shape_matmul.hpp
diff --git a/excuter/cpp-common/src/deepx/shape_range.cpp b/executor/cpp-common/src/deepx/shape_range.cpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/shape_range.cpp
rename to executor/cpp-common/src/deepx/shape_range.cpp
diff --git a/excuter/cpp-common/src/deepx/shape_reduce.cpp b/executor/cpp-common/src/deepx/shape_reduce.cpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/shape_reduce.cpp
rename to executor/cpp-common/src/deepx/shape_reduce.cpp
diff --git a/excuter/cpp-common/src/deepx/shape_reduce.hpp b/executor/cpp-common/src/deepx/shape_reduce.hpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/shape_reduce.hpp
rename to executor/cpp-common/src/deepx/shape_reduce.hpp
diff --git a/excuter/cpp-common/src/deepx/shape_tensorinit.cpp b/executor/cpp-common/src/deepx/shape_tensorinit.cpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/shape_tensorinit.cpp
rename to executor/cpp-common/src/deepx/shape_tensorinit.cpp
diff --git a/excuter/cpp-common/src/deepx/shape_tensorinit.hpp b/executor/cpp-common/src/deepx/shape_tensorinit.hpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/shape_tensorinit.hpp
rename to executor/cpp-common/src/deepx/shape_tensorinit.hpp
diff --git a/excuter/cpp-common/src/deepx/tensor.hpp b/executor/cpp-common/src/deepx/tensor.hpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/tensor.hpp
rename to executor/cpp-common/src/deepx/tensor.hpp
diff --git a/excuter/cpp-common/src/deepx/tensorbase.hpp b/executor/cpp-common/src/deepx/tensorbase.hpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/tensorbase.hpp
rename to executor/cpp-common/src/deepx/tensorbase.hpp
diff --git a/excuter/cpp-common/src/deepx/tensorfunc/authors.hpp b/executor/cpp-common/src/deepx/tensorfunc/authors.hpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/tensorfunc/authors.hpp
rename to executor/cpp-common/src/deepx/tensorfunc/authors.hpp
diff --git a/excuter/cpp-common/src/deepx/tensorfunc/changeshape.hpp b/executor/cpp-common/src/deepx/tensorfunc/changeshape.hpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/tensorfunc/changeshape.hpp
rename to executor/cpp-common/src/deepx/tensorfunc/changeshape.hpp
diff --git a/excuter/cpp-common/src/deepx/tensorfunc/elementwise.hpp b/executor/cpp-common/src/deepx/tensorfunc/elementwise.hpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/tensorfunc/elementwise.hpp
rename to executor/cpp-common/src/deepx/tensorfunc/elementwise.hpp
diff --git a/excuter/cpp-common/src/deepx/tensorfunc/init.hpp b/executor/cpp-common/src/deepx/tensorfunc/init.hpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/tensorfunc/init.hpp
rename to executor/cpp-common/src/deepx/tensorfunc/init.hpp
diff --git a/excuter/cpp-common/src/deepx/tensorfunc/io.hpp b/executor/cpp-common/src/deepx/tensorfunc/io.hpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/tensorfunc/io.hpp
rename to executor/cpp-common/src/deepx/tensorfunc/io.hpp
diff --git a/excuter/cpp-common/src/deepx/tensorfunc/matmul.hpp b/executor/cpp-common/src/deepx/tensorfunc/matmul.hpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/tensorfunc/matmul.hpp
rename to executor/cpp-common/src/deepx/tensorfunc/matmul.hpp
diff --git a/excuter/cpp-common/src/deepx/tensorfunc/reduce.hpp b/executor/cpp-common/src/deepx/tensorfunc/reduce.hpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/tensorfunc/reduce.hpp
rename to executor/cpp-common/src/deepx/tensorfunc/reduce.hpp
diff --git a/excuter/cpp-common/src/deepx/tensorfunc/tensorlife.hpp b/executor/cpp-common/src/deepx/tensorfunc/tensorlife.hpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/tensorfunc/tensorlife.hpp
rename to executor/cpp-common/src/deepx/tensorfunc/tensorlife.hpp
diff --git a/excuter/cpp-common/src/deepx/tf/tf.cpp b/executor/cpp-common/src/deepx/tf/tf.cpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/tf/tf.cpp
rename to executor/cpp-common/src/deepx/tf/tf.cpp
diff --git a/excuter/cpp-common/src/deepx/tf/tf.hpp b/executor/cpp-common/src/deepx/tf/tf.hpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/tf/tf.hpp
rename to executor/cpp-common/src/deepx/tf/tf.hpp
diff --git a/excuter/cpp-common/src/deepx/tf/tffactory.cpp b/executor/cpp-common/src/deepx/tf/tffactory.cpp
similarity index 94%
rename from excuter/cpp-common/src/deepx/tf/tffactory.cpp
rename to executor/cpp-common/src/deepx/tf/tffactory.cpp
index c57adf51..7ddbf555 100644
--- a/excuter/cpp-common/src/deepx/tf/tffactory.cpp
+++ b/executor/cpp-common/src/deepx/tf/tffactory.cpp
@@ -82,11 +82,11 @@ namespace deepx::tf
         cloned->metadata=other.metadata;
         return cloned;
     }
-    string TfFactory::print_markdown(string excuter_name) const
+    string TfFactory::print_markdown(string executor_name) const
     {
         std::stringstream ss;
-        ss << "## " << excuter_name << " 支持算子列表 \n\n";
-        ss << "本页面由 `excuter/" << excuter_name << " 生成，请勿手动修改 \n\n";
+        ss << "## " << executor_name << " 支持算子列表 \n\n";
+        ss << "本页面由 `executor/" << executor_name << " 生成，请勿手动修改 \n\n";
  
         // 首先按tftype分组
         unordered_map<string, vector<shared_ptr<TF>>> tf_by_type;
diff --git a/excuter/cpp-common/src/deepx/tf/tffactory.hpp b/executor/cpp-common/src/deepx/tf/tffactory.hpp
similarity index 98%
rename from excuter/cpp-common/src/deepx/tf/tffactory.hpp
rename to executor/cpp-common/src/deepx/tf/tffactory.hpp
index ebe836c0..6f8e97dc 100644
--- a/excuter/cpp-common/src/deepx/tf/tffactory.hpp
+++ b/executor/cpp-common/src/deepx/tf/tffactory.hpp
@@ -96,7 +96,7 @@ namespace deepx::tf
         }
         shared_ptr<TF> get_tf(const TF &other) const;
         // 输出为markdown表格格式
-        string print_markdown(string excuter_name) const;
+        string print_markdown(string executor_name) const;
     };
 }
 
diff --git a/excuter/cpp-common/src/deepx/vector_combination.cpp b/executor/cpp-common/src/deepx/vector_combination.cpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/vector_combination.cpp
rename to executor/cpp-common/src/deepx/vector_combination.cpp
diff --git a/excuter/cpp-common/src/deepx/vector_combination.hpp b/executor/cpp-common/src/deepx/vector_combination.hpp
similarity index 100%
rename from excuter/cpp-common/src/deepx/vector_combination.hpp
rename to executor/cpp-common/src/deepx/vector_combination.hpp
diff --git a/excuter/cpp-common/src/stdutil/error.hpp b/executor/cpp-common/src/stdutil/error.hpp
similarity index 100%
rename from excuter/cpp-common/src/stdutil/error.hpp
rename to executor/cpp-common/src/stdutil/error.hpp
diff --git a/excuter/cpp-common/src/stdutil/fs.cpp b/executor/cpp-common/src/stdutil/fs.cpp
similarity index 100%
rename from excuter/cpp-common/src/stdutil/fs.cpp
rename to executor/cpp-common/src/stdutil/fs.cpp
diff --git a/excuter/cpp-common/src/stdutil/fs.hpp b/executor/cpp-common/src/stdutil/fs.hpp
similarity index 100%
rename from excuter/cpp-common/src/stdutil/fs.hpp
rename to executor/cpp-common/src/stdutil/fs.hpp
diff --git a/excuter/cpp-common/src/stdutil/num.cpp b/executor/cpp-common/src/stdutil/num.cpp
similarity index 100%
rename from excuter/cpp-common/src/stdutil/num.cpp
rename to executor/cpp-common/src/stdutil/num.cpp
diff --git a/excuter/cpp-common/src/stdutil/num.hpp b/executor/cpp-common/src/stdutil/num.hpp
similarity index 100%
rename from excuter/cpp-common/src/stdutil/num.hpp
rename to executor/cpp-common/src/stdutil/num.hpp
diff --git a/excuter/cpp-common/src/stdutil/print.hpp b/executor/cpp-common/src/stdutil/print.hpp
similarity index 100%
rename from excuter/cpp-common/src/stdutil/print.hpp
rename to executor/cpp-common/src/stdutil/print.hpp
diff --git a/excuter/cpp-common/src/stdutil/string.cpp b/executor/cpp-common/src/stdutil/string.cpp
similarity index 100%
rename from excuter/cpp-common/src/stdutil/string.cpp
rename to executor/cpp-common/src/stdutil/string.cpp
diff --git a/excuter/cpp-common/src/stdutil/string.hpp b/executor/cpp-common/src/stdutil/string.hpp
similarity index 100%
rename from excuter/cpp-common/src/stdutil/string.hpp
rename to executor/cpp-common/src/stdutil/string.hpp
diff --git a/excuter/cpp-common/src/stdutil/time.hpp b/executor/cpp-common/src/stdutil/time.hpp
similarity index 100%
rename from excuter/cpp-common/src/stdutil/time.hpp
rename to executor/cpp-common/src/stdutil/time.hpp
diff --git a/excuter/cpp-common/src/stdutil/vector.hpp b/executor/cpp-common/src/stdutil/vector.hpp
similarity index 100%
rename from excuter/cpp-common/src/stdutil/vector.hpp
rename to executor/cpp-common/src/stdutil/vector.hpp
diff --git a/excuter/cpp-common/test/0_dtypes.cpp b/executor/cpp-common/test/0_dtypes.cpp
similarity index 100%
rename from excuter/cpp-common/test/0_dtypes.cpp
rename to executor/cpp-common/test/0_dtypes.cpp
diff --git a/excuter/cpp-common/test/1_tf.cpp b/executor/cpp-common/test/1_tf.cpp
similarity index 100%
rename from excuter/cpp-common/test/1_tf.cpp
rename to executor/cpp-common/test/1_tf.cpp
diff --git a/excuter/cpp-common/test/1_tfcheck.cpp b/executor/cpp-common/test/1_tfcheck.cpp
similarity index 100%
rename from excuter/cpp-common/test/1_tfcheck.cpp
rename to executor/cpp-common/test/1_tfcheck.cpp
diff --git a/excuter/cpp-common/test/2_saveload.cpp b/executor/cpp-common/test/2_saveload.cpp
similarity index 100%
rename from excuter/cpp-common/test/2_saveload.cpp
rename to executor/cpp-common/test/2_saveload.cpp
diff --git a/excuter/cpp-common/test/CMakeLists.txt b/executor/cpp-common/test/CMakeLists.txt
similarity index 100%
rename from excuter/cpp-common/test/CMakeLists.txt
rename to executor/cpp-common/test/CMakeLists.txt
diff --git a/excuter/op-mem-cuda/.gitignore b/executor/op-mem-cuda/.gitignore
similarity index 100%
rename from excuter/op-mem-cuda/.gitignore
rename to executor/op-mem-cuda/.gitignore
diff --git a/excuter/op-mem-cuda/CMakeLists.txt b/executor/op-mem-cuda/CMakeLists.txt
similarity index 97%
rename from excuter/op-mem-cuda/CMakeLists.txt
rename to executor/op-mem-cuda/CMakeLists.txt
index 98471042..f373c08e 100644
--- a/excuter/op-mem-cuda/CMakeLists.txt
+++ b/executor/op-mem-cuda/CMakeLists.txt
@@ -1,5 +1,5 @@
 cmake_minimum_required(VERSION 3.15...3.29)
-project(deepx-excuter-cuda LANGUAGES CXX CUDA) 
+project(deepx-executor-cuda LANGUAGES CXX CUDA) 
 
 # 设置 C++ 标准
 set(CMAKE_CXX_STANDARD 17)
diff --git a/excuter/op-mem-cuda/Dockerfile b/executor/op-mem-cuda/Dockerfile
similarity index 74%
rename from excuter/op-mem-cuda/Dockerfile
rename to executor/op-mem-cuda/Dockerfile
index 682b6fd6..60fda776 100644
--- a/excuter/op-mem-cuda/Dockerfile
+++ b/executor/op-mem-cuda/Dockerfile
@@ -10,14 +10,14 @@ RUN apt-get update && apt-get install -y \
     && rm -rf /var/lib/apt/lists/*
 
 
-WORKDIR /home/
+WORKDIR /home
 # CUDA 已经预装，无需额外配置
-ADD cpp-common cpp-common
-ADD op-mem-cuda op-mem-cuda
+ADD executor/cpp-common   cpp-common
+ADD executor/op-mem-cuda  op-mem-cuda
 WORKDIR /home/op-mem-cuda
 
 RUN rm -rf build && mkdir build && cd build && \
     cmake .. && \
     make -j$(nproc)
 
-CMD ["./build/bin/deepx-excuter-cuda"]
\ No newline at end of file
+ENTRYPOINT ["./build/deepx-executor-cuda"]
\ No newline at end of file
diff --git a/excuter/op-mem-cuda/README.md b/executor/op-mem-cuda/README.md
similarity index 54%
rename from excuter/op-mem-cuda/README.md
rename to executor/op-mem-cuda/README.md
index c0014d63..08efee23 100644
--- a/excuter/op-mem-cuda/README.md
+++ b/executor/op-mem-cuda/README.md
@@ -8,7 +8,7 @@ sudo bash build.sh
 
 ### docker 构建命令，及所在位置
 ```
-lipeng@lp:~/code/git.array2d.com/ai/deepx/excuter/op-mem-cuda$ sudo bash dockerbuild.sh 
+lipeng@lp:~/code/git.array2d.com/ai/deepx/executor/op-mem-cuda$ sudo bash dockerbuild.sh 
 
 ```
  
\ No newline at end of file
diff --git a/excuter/op-mem-cuda/build.sh b/executor/op-mem-cuda/build.sh
similarity index 100%
rename from excuter/op-mem-cuda/build.sh
rename to executor/op-mem-cuda/build.sh
diff --git a/excuter/op-mem-cuda/dockerbuild.sh b/executor/op-mem-cuda/dockerbuild.sh
similarity index 100%
rename from excuter/op-mem-cuda/dockerbuild.sh
rename to executor/op-mem-cuda/dockerbuild.sh
diff --git a/excuter/op-mem-cuda/doc/00_quickstart.md b/executor/op-mem-cuda/docs/00_quickstart.md
similarity index 100%
rename from excuter/op-mem-cuda/doc/00_quickstart.md
rename to executor/op-mem-cuda/docs/00_quickstart.md
diff --git a/excuter/op-mem-cuda/doc/01_layout.md b/executor/op-mem-cuda/docs/01_layout.md
similarity index 100%
rename from excuter/op-mem-cuda/doc/01_layout.md
rename to executor/op-mem-cuda/docs/01_layout.md
diff --git a/excuter/op-mem-cuda/doc/02_layout_algebra.md b/executor/op-mem-cuda/docs/02_layout_algebra.md
similarity index 100%
rename from excuter/op-mem-cuda/doc/02_layout_algebra.md
rename to executor/op-mem-cuda/docs/02_layout_algebra.md
diff --git a/excuter/op-mem-cuda/doc/03_tensor.md b/executor/op-mem-cuda/docs/03_tensor.md
similarity index 100%
rename from excuter/op-mem-cuda/doc/03_tensor.md
rename to executor/op-mem-cuda/docs/03_tensor.md
diff --git a/excuter/op-mem-cuda/doc/04_algorithms.md b/executor/op-mem-cuda/docs/04_algorithms.md
similarity index 100%
rename from excuter/op-mem-cuda/doc/04_algorithms.md
rename to executor/op-mem-cuda/docs/04_algorithms.md
diff --git a/excuter/op-mem-cuda/doc/0t_mma_atom.md b/executor/op-mem-cuda/docs/0t_mma_atom.md
similarity index 100%
rename from excuter/op-mem-cuda/doc/0t_mma_atom.md
rename to executor/op-mem-cuda/docs/0t_mma_atom.md
diff --git a/excuter/op-mem-cuda/doc/0x_gemm_tutorial.md b/executor/op-mem-cuda/docs/0x_gemm_tutorial.md
similarity index 100%
rename from excuter/op-mem-cuda/doc/0x_gemm_tutorial.md
rename to executor/op-mem-cuda/docs/0x_gemm_tutorial.md
diff --git a/excuter/op-mem-cuda/doc/0y_predication.md b/executor/op-mem-cuda/docs/0y_predication.md
similarity index 100%
rename from excuter/op-mem-cuda/doc/0y_predication.md
rename to executor/op-mem-cuda/docs/0y_predication.md
diff --git a/excuter/op-mem-cuda/doc/0z_tma_tensors.md b/executor/op-mem-cuda/docs/0z_tma_tensors.md
similarity index 100%
rename from excuter/op-mem-cuda/doc/0z_tma_tensors.md
rename to executor/op-mem-cuda/docs/0z_tma_tensors.md
diff --git a/excuter/op-mem-cuda/log.md b/executor/op-mem-cuda/log.md
similarity index 100%
rename from excuter/op-mem-cuda/log.md
rename to executor/op-mem-cuda/log.md
diff --git a/excuter/op-mem-cuda/src/client/main.cpp b/executor/op-mem-cuda/src/client/main.cpp
similarity index 96%
rename from excuter/op-mem-cuda/src/client/main.cpp
rename to executor/op-mem-cuda/src/client/main.cpp
index b00a284a..81535f85 100644
--- a/excuter/op-mem-cuda/src/client/main.cpp
+++ b/executor/op-mem-cuda/src/client/main.cpp
@@ -29,8 +29,8 @@ int main()
     register_all(tf_factory);
 
     // 将op table输出到markdown文件
-    string docdir = "../../../doc/excuter/op-mem-cuda/";
-    std::ofstream md_file(docdir + "list.md");
+    string docsdir = "../../../docs/executor/op-mem-cuda/";
+    std::ofstream md_file(docsdir + "list.md");
     if (md_file.is_open())
     {
         md_file << tf_factory.print_markdown("op-mem-cuda");
diff --git a/excuter/op-mem-cuda/src/client/tfs.cpp b/executor/op-mem-cuda/src/client/tfs.cpp
similarity index 100%
rename from excuter/op-mem-cuda/src/client/tfs.cpp
rename to executor/op-mem-cuda/src/client/tfs.cpp
diff --git a/excuter/op-mem-cuda/src/client/tfs.hpp b/executor/op-mem-cuda/src/client/tfs.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/client/tfs.hpp
rename to executor/op-mem-cuda/src/client/tfs.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/dtype_cuda.hpp b/executor/op-mem-cuda/src/deepx/dtype_cuda.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/dtype_cuda.hpp
rename to executor/op-mem-cuda/src/deepx/dtype_cuda.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/mem/mem_cuda.hpp b/executor/op-mem-cuda/src/deepx/mem/mem_cuda.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/mem/mem_cuda.hpp
rename to executor/op-mem-cuda/src/deepx/mem/mem_cuda.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/changeshape_miaobyte.cu b/executor/op-mem-cuda/src/deepx/tensorfunc/changeshape_miaobyte.cu
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/changeshape_miaobyte.cu
rename to executor/op-mem-cuda/src/deepx/tensorfunc/changeshape_miaobyte.cu
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/changeshape_miaobyte.cuh b/executor/op-mem-cuda/src/deepx/tensorfunc/changeshape_miaobyte.cuh
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/changeshape_miaobyte.cuh
rename to executor/op-mem-cuda/src/deepx/tensorfunc/changeshape_miaobyte.cuh
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/changeshape_miaobyte.hpp b/executor/op-mem-cuda/src/deepx/tensorfunc/changeshape_miaobyte.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/changeshape_miaobyte.hpp
rename to executor/op-mem-cuda/src/deepx/tensorfunc/changeshape_miaobyte.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/cuda.hpp b/executor/op-mem-cuda/src/deepx/tensorfunc/cuda.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/cuda.hpp
rename to executor/op-mem-cuda/src/deepx/tensorfunc/cuda.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/cuda_atomic.cuh b/executor/op-mem-cuda/src/deepx/tensorfunc/cuda_atomic.cuh
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/cuda_atomic.cuh
rename to executor/op-mem-cuda/src/deepx/tensorfunc/cuda_atomic.cuh
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/cuda_math.cuh b/executor/op-mem-cuda/src/deepx/tensorfunc/cuda_math.cuh
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/cuda_math.cuh
rename to executor/op-mem-cuda/src/deepx/tensorfunc/cuda_math.cuh
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_cublas_basic.hpp b/executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_cublas_basic.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_cublas_basic.hpp
rename to executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_cublas_basic.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_basic.cu b/executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_basic.cu
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_basic.cu
rename to executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_basic.cu
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_basic.cuh b/executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_basic.cuh
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_basic.cuh
rename to executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_basic.cuh
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_basic.hpp b/executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_basic.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_basic.hpp
rename to executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_basic.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_compare.cu b/executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_compare.cu
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_compare.cu
rename to executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_compare.cu
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_compare.cuh b/executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_compare.cuh
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_compare.cuh
rename to executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_compare.cuh
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_compare.hpp b/executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_compare.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_compare.hpp
rename to executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_compare.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_sin.cu b/executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_sin.cu
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_sin.cu
rename to executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_sin.cu
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_sin.cuh b/executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_sin.cuh
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_sin.cuh
rename to executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_sin.cuh
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_sin.hpp b/executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_sin.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_sin.hpp
rename to executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_sin.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_sqrt.cu b/executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_sqrt.cu
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_sqrt.cu
rename to executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_sqrt.cu
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_sqrt.cuh b/executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_sqrt.cuh
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_sqrt.cuh
rename to executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_sqrt.cuh
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_sqrt.hpp b/executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_sqrt.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_sqrt.hpp
rename to executor/op-mem-cuda/src/deepx/tensorfunc/elementwise_miaobyte_sqrt.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/init_miaobyte.cu b/executor/op-mem-cuda/src/deepx/tensorfunc/init_miaobyte.cu
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/init_miaobyte.cu
rename to executor/op-mem-cuda/src/deepx/tensorfunc/init_miaobyte.cu
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/init_miaobyte.cuh b/executor/op-mem-cuda/src/deepx/tensorfunc/init_miaobyte.cuh
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/init_miaobyte.cuh
rename to executor/op-mem-cuda/src/deepx/tensorfunc/init_miaobyte.cuh
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/init_miaobyte.hpp b/executor/op-mem-cuda/src/deepx/tensorfunc/init_miaobyte.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/init_miaobyte.hpp
rename to executor/op-mem-cuda/src/deepx/tensorfunc/init_miaobyte.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/io_miaobyte.hpp b/executor/op-mem-cuda/src/deepx/tensorfunc/io_miaobyte.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/io_miaobyte.hpp
rename to executor/op-mem-cuda/src/deepx/tensorfunc/io_miaobyte.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/matmul_cublas.hpp b/executor/op-mem-cuda/src/deepx/tensorfunc/matmul_cublas.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/matmul_cublas.hpp
rename to executor/op-mem-cuda/src/deepx/tensorfunc/matmul_cublas.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/new_mempool.hpp b/executor/op-mem-cuda/src/deepx/tensorfunc/new_mempool.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/new_mempool.hpp
rename to executor/op-mem-cuda/src/deepx/tensorfunc/new_mempool.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/reduce_miaobyte.cu b/executor/op-mem-cuda/src/deepx/tensorfunc/reduce_miaobyte.cu
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/reduce_miaobyte.cu
rename to executor/op-mem-cuda/src/deepx/tensorfunc/reduce_miaobyte.cu
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/reduce_miaobyte.cuh b/executor/op-mem-cuda/src/deepx/tensorfunc/reduce_miaobyte.cuh
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/reduce_miaobyte.cuh
rename to executor/op-mem-cuda/src/deepx/tensorfunc/reduce_miaobyte.cuh
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/reduce_miaobyte.hpp b/executor/op-mem-cuda/src/deepx/tensorfunc/reduce_miaobyte.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/reduce_miaobyte.hpp
rename to executor/op-mem-cuda/src/deepx/tensorfunc/reduce_miaobyte.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/tensor_cuda.cuh b/executor/op-mem-cuda/src/deepx/tensorfunc/tensor_cuda.cuh
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/tensor_cuda.cuh
rename to executor/op-mem-cuda/src/deepx/tensorfunc/tensor_cuda.cuh
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/tensorlife_miaobyte.hpp b/executor/op-mem-cuda/src/deepx/tensorfunc/tensorlife_miaobyte.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/tensorlife_miaobyte.hpp
rename to executor/op-mem-cuda/src/deepx/tensorfunc/tensorlife_miaobyte.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/tensorfunc/vector_cuda.cuh b/executor/op-mem-cuda/src/deepx/tensorfunc/vector_cuda.cuh
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tensorfunc/vector_cuda.cuh
rename to executor/op-mem-cuda/src/deepx/tensorfunc/vector_cuda.cuh
diff --git a/excuter/op-mem-cuda/src/deepx/tf/arg.hpp b/executor/op-mem-cuda/src/deepx/tf/arg.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tf/arg.hpp
rename to executor/op-mem-cuda/src/deepx/tf/arg.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/tf/changeshape.hpp b/executor/op-mem-cuda/src/deepx/tf/changeshape.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tf/changeshape.hpp
rename to executor/op-mem-cuda/src/deepx/tf/changeshape.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/tf/elementwise_basic.hpp b/executor/op-mem-cuda/src/deepx/tf/elementwise_basic.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tf/elementwise_basic.hpp
rename to executor/op-mem-cuda/src/deepx/tf/elementwise_basic.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/tf/elementwise_compare.hpp b/executor/op-mem-cuda/src/deepx/tf/elementwise_compare.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tf/elementwise_compare.hpp
rename to executor/op-mem-cuda/src/deepx/tf/elementwise_compare.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/tf/elementwise_sin.hpp b/executor/op-mem-cuda/src/deepx/tf/elementwise_sin.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tf/elementwise_sin.hpp
rename to executor/op-mem-cuda/src/deepx/tf/elementwise_sin.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/tf/elementwise_sqrt.hpp b/executor/op-mem-cuda/src/deepx/tf/elementwise_sqrt.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tf/elementwise_sqrt.hpp
rename to executor/op-mem-cuda/src/deepx/tf/elementwise_sqrt.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/tf/init.hpp b/executor/op-mem-cuda/src/deepx/tf/init.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tf/init.hpp
rename to executor/op-mem-cuda/src/deepx/tf/init.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/tf/io.hpp b/executor/op-mem-cuda/src/deepx/tf/io.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tf/io.hpp
rename to executor/op-mem-cuda/src/deepx/tf/io.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/tf/matmul.hpp b/executor/op-mem-cuda/src/deepx/tf/matmul.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tf/matmul.hpp
rename to executor/op-mem-cuda/src/deepx/tf/matmul.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/tf/reduce.hpp b/executor/op-mem-cuda/src/deepx/tf/reduce.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tf/reduce.hpp
rename to executor/op-mem-cuda/src/deepx/tf/reduce.hpp
diff --git a/excuter/op-mem-cuda/src/deepx/tf/tensorlife.hpp b/executor/op-mem-cuda/src/deepx/tf/tensorlife.hpp
similarity index 100%
rename from excuter/op-mem-cuda/src/deepx/tf/tensorlife.hpp
rename to executor/op-mem-cuda/src/deepx/tf/tensorlife.hpp
diff --git a/excuter/op-mem-cuda/test/op/CMakeLists.txt b/executor/op-mem-cuda/test/op/CMakeLists.txt
similarity index 100%
rename from excuter/op-mem-cuda/test/op/CMakeLists.txt
rename to executor/op-mem-cuda/test/op/CMakeLists.txt
diff --git a/excuter/op-mem-cuda/test/tensorfunc/0_new.cpp b/executor/op-mem-cuda/test/tensorfunc/0_new.cpp
similarity index 100%
rename from excuter/op-mem-cuda/test/tensorfunc/0_new.cpp
rename to executor/op-mem-cuda/test/tensorfunc/0_new.cpp
diff --git a/excuter/op-mem-cuda/test/tensorfunc/1_cublas_add.cpp b/executor/op-mem-cuda/test/tensorfunc/1_cublas_add.cpp
similarity index 100%
rename from excuter/op-mem-cuda/test/tensorfunc/1_cublas_add.cpp
rename to executor/op-mem-cuda/test/tensorfunc/1_cublas_add.cpp
diff --git a/excuter/op-mem-cuda/test/tensorfunc/1_cublas_matmul.cpp b/executor/op-mem-cuda/test/tensorfunc/1_cublas_matmul.cpp
similarity index 100%
rename from excuter/op-mem-cuda/test/tensorfunc/1_cublas_matmul.cpp
rename to executor/op-mem-cuda/test/tensorfunc/1_cublas_matmul.cpp
diff --git a/excuter/op-mem-cuda/test/tensorfunc/2_changeshape.cpp b/executor/op-mem-cuda/test/tensorfunc/2_changeshape.cpp
similarity index 100%
rename from excuter/op-mem-cuda/test/tensorfunc/2_changeshape.cpp
rename to executor/op-mem-cuda/test/tensorfunc/2_changeshape.cpp
diff --git a/excuter/op-mem-cuda/test/tensorfunc/CMakeLists.txt b/executor/op-mem-cuda/test/tensorfunc/CMakeLists.txt
similarity index 100%
rename from excuter/op-mem-cuda/test/tensorfunc/CMakeLists.txt
rename to executor/op-mem-cuda/test/tensorfunc/CMakeLists.txt
diff --git a/excuter/op-mem-mps/swift.md b/executor/op-mem-mps/swift.md
similarity index 100%
rename from excuter/op-mem-mps/swift.md
rename to executor/op-mem-mps/swift.md
diff --git a/excuter/op-mem-ompsimd/.cursorignore b/executor/op-mem-ompsimd/.cursorignore
similarity index 100%
rename from excuter/op-mem-ompsimd/.cursorignore
rename to executor/op-mem-ompsimd/.cursorignore
diff --git a/executor/op-mem-ompsimd/.cursorrules b/executor/op-mem-ompsimd/.cursorrules
new file mode 100644
index 00000000..9c2ede76
--- /dev/null
+++ b/executor/op-mem-ompsimd/.cursorrules
@@ -0,0 +1 @@
+executor只实现基础的op，不要实现可以由基础op组合的op，如relu可以由max组合。
\ No newline at end of file
diff --git a/excuter/op-mem-ompsimd/.gitignore b/executor/op-mem-ompsimd/.gitignore
similarity index 100%
rename from excuter/op-mem-ompsimd/.gitignore
rename to executor/op-mem-ompsimd/.gitignore
diff --git a/excuter/op-mem-ompsimd/CMakeLists.txt b/executor/op-mem-ompsimd/CMakeLists.txt
similarity index 97%
rename from excuter/op-mem-ompsimd/CMakeLists.txt
rename to executor/op-mem-ompsimd/CMakeLists.txt
index daab9fd0..abc1a868 100644
--- a/excuter/op-mem-ompsimd/CMakeLists.txt
+++ b/executor/op-mem-ompsimd/CMakeLists.txt
@@ -1,5 +1,5 @@
 cmake_minimum_required(VERSION 3.15...3.29)
-project(deepx-excuter-ompsimd LANGUAGES CXX ) 
+project(deepx-executor-ompsimd LANGUAGES CXX ) 
 
 # 设置 C++ 标准
 set(CMAKE_CXX_STANDARD 17)
diff --git a/excuter/op-mem-ompsimd/Dockerfile b/executor/op-mem-ompsimd/Dockerfile
similarity index 94%
rename from excuter/op-mem-ompsimd/Dockerfile
rename to executor/op-mem-ompsimd/Dockerfile
index acd79b6f..1b4fd775 100644
--- a/excuter/op-mem-ompsimd/Dockerfile
+++ b/executor/op-mem-ompsimd/Dockerfile
@@ -31,4 +31,4 @@ RUN rm -rf build && mkdir build && cd build && \
     cmake ..&& \
     make -j$(nproc)
 
-CMD ["./build/bin/deepx-excuter-ompsimd"]
\ No newline at end of file
+CMD ["./build/bin/deepx-executor-ompsimd"]
\ No newline at end of file
diff --git a/excuter/op-mem-ompsimd/dockerbuild.sh b/executor/op-mem-ompsimd/dockerbuild.sh
similarity index 100%
rename from excuter/op-mem-ompsimd/dockerbuild.sh
rename to executor/op-mem-ompsimd/dockerbuild.sh
diff --git a/excuter/op-mem-ompsimd/log.md b/executor/op-mem-ompsimd/log.md
similarity index 100%
rename from excuter/op-mem-ompsimd/log.md
rename to executor/op-mem-ompsimd/log.md
diff --git a/excuter/op-mem-ompsimd/src/client/main.cpp b/executor/op-mem-ompsimd/src/client/main.cpp
similarity index 96%
rename from excuter/op-mem-ompsimd/src/client/main.cpp
rename to executor/op-mem-ompsimd/src/client/main.cpp
index 15004184..732bb217 100644
--- a/excuter/op-mem-ompsimd/src/client/main.cpp
+++ b/executor/op-mem-ompsimd/src/client/main.cpp
@@ -30,8 +30,8 @@ int main()
     register_all(tf_factory);
 
     // 将op table输出到markdown文件
-    string docdir = "../../../doc/excuter/op-mem-ompsimd/";
-    std::ofstream md_file(docdir + "list.md");
+    string docsdir = "../../../docs/executor/op-mem-ompsimd/";
+    std::ofstream md_file(docsdir + "list.md");
     if (md_file.is_open())
     {
         md_file << tf_factory.print_markdown("op-mem-ompsimd");
diff --git a/excuter/op-mem-ompsimd/src/client/tfs.cpp b/executor/op-mem-ompsimd/src/client/tfs.cpp
similarity index 100%
rename from excuter/op-mem-ompsimd/src/client/tfs.cpp
rename to executor/op-mem-ompsimd/src/client/tfs.cpp
diff --git a/excuter/op-mem-ompsimd/src/client/tfs.hpp b/executor/op-mem-ompsimd/src/client/tfs.hpp
similarity index 100%
rename from excuter/op-mem-ompsimd/src/client/tfs.hpp
rename to executor/op-mem-ompsimd/src/client/tfs.hpp
diff --git a/excuter/op-mem-ompsimd/src/deepx/dtype_ompsimd.hpp b/executor/op-mem-ompsimd/src/deepx/dtype_ompsimd.hpp
similarity index 100%
rename from excuter/op-mem-ompsimd/src/deepx/dtype_ompsimd.hpp
rename to executor/op-mem-ompsimd/src/deepx/dtype_ompsimd.hpp
diff --git a/excuter/op-mem-ompsimd/src/deepx/mem/mem_ompsimd.hpp b/executor/op-mem-ompsimd/src/deepx/mem/mem_ompsimd.hpp
similarity index 100%
rename from excuter/op-mem-ompsimd/src/deepx/mem/mem_ompsimd.hpp
rename to executor/op-mem-ompsimd/src/deepx/mem/mem_ompsimd.hpp
diff --git a/excuter/op-mem-ompsimd/src/deepx/tensorfunc/changeshape_miaobyte.hpp b/executor/op-mem-ompsimd/src/deepx/tensorfunc/changeshape_miaobyte.hpp
similarity index 100%
rename from excuter/op-mem-ompsimd/src/deepx/tensorfunc/changeshape_miaobyte.hpp
rename to executor/op-mem-ompsimd/src/deepx/tensorfunc/changeshape_miaobyte.hpp
diff --git a/excuter/op-mem-ompsimd/src/deepx/tensorfunc/elementwise_cblas.hpp b/executor/op-mem-ompsimd/src/deepx/tensorfunc/elementwise_cblas.hpp
similarity index 100%
rename from excuter/op-mem-ompsimd/src/deepx/tensorfunc/elementwise_cblas.hpp
rename to executor/op-mem-ompsimd/src/deepx/tensorfunc/elementwise_cblas.hpp
diff --git a/excuter/op-mem-ompsimd/src/deepx/tensorfunc/elementwise_miaobyte.hpp b/executor/op-mem-ompsimd/src/deepx/tensorfunc/elementwise_miaobyte.hpp
similarity index 100%
rename from excuter/op-mem-ompsimd/src/deepx/tensorfunc/elementwise_miaobyte.hpp
rename to executor/op-mem-ompsimd/src/deepx/tensorfunc/elementwise_miaobyte.hpp
diff --git a/excuter/op-mem-ompsimd/src/deepx/tensorfunc/equal.hpp b/executor/op-mem-ompsimd/src/deepx/tensorfunc/equal.hpp
similarity index 100%
rename from excuter/op-mem-ompsimd/src/deepx/tensorfunc/equal.hpp
rename to executor/op-mem-ompsimd/src/deepx/tensorfunc/equal.hpp
diff --git a/excuter/op-mem-ompsimd/src/deepx/tensorfunc/highway.hpp b/executor/op-mem-ompsimd/src/deepx/tensorfunc/highway.hpp
similarity index 100%
rename from excuter/op-mem-ompsimd/src/deepx/tensorfunc/highway.hpp
rename to executor/op-mem-ompsimd/src/deepx/tensorfunc/highway.hpp
diff --git a/excuter/op-mem-ompsimd/src/deepx/tensorfunc/init_miaobyte.hpp b/executor/op-mem-ompsimd/src/deepx/tensorfunc/init_miaobyte.hpp
similarity index 100%
rename from excuter/op-mem-ompsimd/src/deepx/tensorfunc/init_miaobyte.hpp
rename to executor/op-mem-ompsimd/src/deepx/tensorfunc/init_miaobyte.hpp
diff --git a/excuter/op-mem-ompsimd/src/deepx/tensorfunc/io_miaobyte.hpp b/executor/op-mem-ompsimd/src/deepx/tensorfunc/io_miaobyte.hpp
similarity index 100%
rename from excuter/op-mem-ompsimd/src/deepx/tensorfunc/io_miaobyte.hpp
rename to executor/op-mem-ompsimd/src/deepx/tensorfunc/io_miaobyte.hpp
diff --git a/excuter/op-mem-ompsimd/src/deepx/tensorfunc/matmul_cblas.hpp b/executor/op-mem-ompsimd/src/deepx/tensorfunc/matmul_cblas.hpp
similarity index 100%
rename from excuter/op-mem-ompsimd/src/deepx/tensorfunc/matmul_cblas.hpp
rename to executor/op-mem-ompsimd/src/deepx/tensorfunc/matmul_cblas.hpp
diff --git a/excuter/op-mem-ompsimd/src/deepx/tensorfunc/matmul_miaobyte.hpp b/executor/op-mem-ompsimd/src/deepx/tensorfunc/matmul_miaobyte.hpp
similarity index 100%
rename from excuter/op-mem-ompsimd/src/deepx/tensorfunc/matmul_miaobyte.hpp
rename to executor/op-mem-ompsimd/src/deepx/tensorfunc/matmul_miaobyte.hpp
diff --git a/excuter/op-mem-ompsimd/src/deepx/tensorfunc/new_mempool.hpp b/executor/op-mem-ompsimd/src/deepx/tensorfunc/new_mempool.hpp
similarity index 100%
rename from excuter/op-mem-ompsimd/src/deepx/tensorfunc/new_mempool.hpp
rename to executor/op-mem-ompsimd/src/deepx/tensorfunc/new_mempool.hpp
diff --git a/excuter/op-mem-ompsimd/src/deepx/tensorfunc/reduce_miaobyte.hpp b/executor/op-mem-ompsimd/src/deepx/tensorfunc/reduce_miaobyte.hpp
similarity index 100%
rename from excuter/op-mem-ompsimd/src/deepx/tensorfunc/reduce_miaobyte.hpp
rename to executor/op-mem-ompsimd/src/deepx/tensorfunc/reduce_miaobyte.hpp
diff --git a/excuter/op-mem-ompsimd/src/deepx/tensorfunc/tensorlife_miaobyte.hpp b/executor/op-mem-ompsimd/src/deepx/tensorfunc/tensorlife_miaobyte.hpp
similarity index 100%
rename from excuter/op-mem-ompsimd/src/deepx/tensorfunc/tensorlife_miaobyte.hpp
rename to executor/op-mem-ompsimd/src/deepx/tensorfunc/tensorlife_miaobyte.hpp
diff --git a/excuter/op-mem-ompsimd/src/deepx/tf/arg.hpp b/executor/op-mem-ompsimd/src/deepx/tf/arg.hpp
similarity index 100%
rename from excuter/op-mem-ompsimd/src/deepx/tf/arg.hpp
rename to executor/op-mem-ompsimd/src/deepx/tf/arg.hpp
diff --git a/excuter/op-mem-ompsimd/src/deepx/tf/changeshape.hpp b/executor/op-mem-ompsimd/src/deepx/tf/changeshape.hpp
similarity index 100%
rename from excuter/op-mem-ompsimd/src/deepx/tf/changeshape.hpp
rename to executor/op-mem-ompsimd/src/deepx/tf/changeshape.hpp
diff --git a/excuter/op-mem-ompsimd/src/deepx/tf/elementwise.hpp b/executor/op-mem-ompsimd/src/deepx/tf/elementwise.hpp
similarity index 100%
rename from excuter/op-mem-ompsimd/src/deepx/tf/elementwise.hpp
rename to executor/op-mem-ompsimd/src/deepx/tf/elementwise.hpp
diff --git a/excuter/op-mem-ompsimd/src/deepx/tf/init.hpp b/executor/op-mem-ompsimd/src/deepx/tf/init.hpp
similarity index 100%
rename from excuter/op-mem-ompsimd/src/deepx/tf/init.hpp
rename to executor/op-mem-ompsimd/src/deepx/tf/init.hpp
diff --git a/excuter/op-mem-ompsimd/src/deepx/tf/io.hpp b/executor/op-mem-ompsimd/src/deepx/tf/io.hpp
similarity index 100%
rename from excuter/op-mem-ompsimd/src/deepx/tf/io.hpp
rename to executor/op-mem-ompsimd/src/deepx/tf/io.hpp
diff --git a/excuter/op-mem-ompsimd/src/deepx/tf/matmul.hpp b/executor/op-mem-ompsimd/src/deepx/tf/matmul.hpp
similarity index 100%
rename from excuter/op-mem-ompsimd/src/deepx/tf/matmul.hpp
rename to executor/op-mem-ompsimd/src/deepx/tf/matmul.hpp
diff --git a/excuter/op-mem-ompsimd/src/deepx/tf/reduce.hpp b/executor/op-mem-ompsimd/src/deepx/tf/reduce.hpp
similarity index 100%
rename from excuter/op-mem-ompsimd/src/deepx/tf/reduce.hpp
rename to executor/op-mem-ompsimd/src/deepx/tf/reduce.hpp
diff --git a/excuter/op-mem-ompsimd/src/deepx/tf/tensorlife.hpp b/executor/op-mem-ompsimd/src/deepx/tf/tensorlife.hpp
similarity index 100%
rename from excuter/op-mem-ompsimd/src/deepx/tf/tensorlife.hpp
rename to executor/op-mem-ompsimd/src/deepx/tf/tensorlife.hpp
diff --git a/excuter/op-mem-ompsimd/test/op/1_mem.cpp b/executor/op-mem-ompsimd/test/op/1_mem.cpp
similarity index 100%
rename from excuter/op-mem-ompsimd/test/op/1_mem.cpp
rename to executor/op-mem-ompsimd/test/op/1_mem.cpp
diff --git a/excuter/op-mem-ompsimd/test/op/CMakeLists.txt b/executor/op-mem-ompsimd/test/op/CMakeLists.txt
similarity index 100%
rename from excuter/op-mem-ompsimd/test/op/CMakeLists.txt
rename to executor/op-mem-ompsimd/test/op/CMakeLists.txt
diff --git a/excuter/op-mem-ompsimd/test/tensorfunc/1_shape.cpp b/executor/op-mem-ompsimd/test/tensorfunc/1_shape.cpp
similarity index 100%
rename from excuter/op-mem-ompsimd/test/tensorfunc/1_shape.cpp
rename to executor/op-mem-ompsimd/test/tensorfunc/1_shape.cpp
diff --git a/excuter/op-mem-ompsimd/test/tensorfunc/2_shape_combintion.cpp b/executor/op-mem-ompsimd/test/tensorfunc/2_shape_combintion.cpp
similarity index 100%
rename from excuter/op-mem-ompsimd/test/tensorfunc/2_shape_combintion.cpp
rename to executor/op-mem-ompsimd/test/tensorfunc/2_shape_combintion.cpp
diff --git a/excuter/op-mem-ompsimd/test/tensorfunc/2_tensor_equal.cpp b/executor/op-mem-ompsimd/test/tensorfunc/2_tensor_equal.cpp
similarity index 100%
rename from excuter/op-mem-ompsimd/test/tensorfunc/2_tensor_equal.cpp
rename to executor/op-mem-ompsimd/test/tensorfunc/2_tensor_equal.cpp
diff --git a/excuter/op-mem-ompsimd/test/tensorfunc/2_tensor_new.cpp b/executor/op-mem-ompsimd/test/tensorfunc/2_tensor_new.cpp
similarity index 100%
rename from excuter/op-mem-ompsimd/test/tensorfunc/2_tensor_new.cpp
rename to executor/op-mem-ompsimd/test/tensorfunc/2_tensor_new.cpp
diff --git a/excuter/op-mem-ompsimd/test/tensorfunc/2_tensor_range.cpp b/executor/op-mem-ompsimd/test/tensorfunc/2_tensor_range.cpp
similarity index 100%
rename from excuter/op-mem-ompsimd/test/tensorfunc/2_tensor_range.cpp
rename to executor/op-mem-ompsimd/test/tensorfunc/2_tensor_range.cpp
diff --git a/excuter/op-mem-ompsimd/test/tensorfunc/2_tensor_range.py b/executor/op-mem-ompsimd/test/tensorfunc/2_tensor_range.py
similarity index 100%
rename from excuter/op-mem-ompsimd/test/tensorfunc/2_tensor_range.py
rename to executor/op-mem-ompsimd/test/tensorfunc/2_tensor_range.py
diff --git a/excuter/op-mem-ompsimd/test/tensorfunc/3_tensor_print.cpp b/executor/op-mem-ompsimd/test/tensorfunc/3_tensor_print.cpp
similarity index 100%
rename from excuter/op-mem-ompsimd/test/tensorfunc/3_tensor_print.cpp
rename to executor/op-mem-ompsimd/test/tensorfunc/3_tensor_print.cpp
diff --git a/excuter/op-mem-ompsimd/test/tensorfunc/4_tensor_add.cpp b/executor/op-mem-ompsimd/test/tensorfunc/4_tensor_add.cpp
similarity index 100%
rename from excuter/op-mem-ompsimd/test/tensorfunc/4_tensor_add.cpp
rename to executor/op-mem-ompsimd/test/tensorfunc/4_tensor_add.cpp
diff --git a/excuter/op-mem-ompsimd/test/tensorfunc/4_tensor_matmul.cpp b/executor/op-mem-ompsimd/test/tensorfunc/4_tensor_matmul.cpp
similarity index 100%
rename from excuter/op-mem-ompsimd/test/tensorfunc/4_tensor_matmul.cpp
rename to executor/op-mem-ompsimd/test/tensorfunc/4_tensor_matmul.cpp
diff --git a/excuter/op-mem-ompsimd/test/tensorfunc/4_tensor_max.cpp b/executor/op-mem-ompsimd/test/tensorfunc/4_tensor_max.cpp
similarity index 100%
rename from excuter/op-mem-ompsimd/test/tensorfunc/4_tensor_max.cpp
rename to executor/op-mem-ompsimd/test/tensorfunc/4_tensor_max.cpp
diff --git a/excuter/op-mem-ompsimd/test/tensorfunc/4_tensor_mul.cpp b/executor/op-mem-ompsimd/test/tensorfunc/4_tensor_mul.cpp
similarity index 100%
rename from excuter/op-mem-ompsimd/test/tensorfunc/4_tensor_mul.cpp
rename to executor/op-mem-ompsimd/test/tensorfunc/4_tensor_mul.cpp
diff --git a/excuter/op-mem-ompsimd/test/tensorfunc/4_tensor_sub.cpp b/executor/op-mem-ompsimd/test/tensorfunc/4_tensor_sub.cpp
similarity index 100%
rename from excuter/op-mem-ompsimd/test/tensorfunc/4_tensor_sub.cpp
rename to executor/op-mem-ompsimd/test/tensorfunc/4_tensor_sub.cpp
diff --git a/excuter/op-mem-ompsimd/test/tensorfunc/5_tensor_sum.cpp b/executor/op-mem-ompsimd/test/tensorfunc/5_tensor_sum.cpp
similarity index 100%
rename from excuter/op-mem-ompsimd/test/tensorfunc/5_tensor_sum.cpp
rename to executor/op-mem-ompsimd/test/tensorfunc/5_tensor_sum.cpp
diff --git a/excuter/op-mem-ompsimd/test/tensorfunc/6_tensor_broadcast.cpp b/executor/op-mem-ompsimd/test/tensorfunc/6_tensor_broadcast.cpp
similarity index 100%
rename from excuter/op-mem-ompsimd/test/tensorfunc/6_tensor_broadcast.cpp
rename to executor/op-mem-ompsimd/test/tensorfunc/6_tensor_broadcast.cpp
diff --git a/excuter/op-mem-ompsimd/test/tensorfunc/7_tensor_transpose.cpp b/executor/op-mem-ompsimd/test/tensorfunc/7_tensor_transpose.cpp
similarity index 100%
rename from excuter/op-mem-ompsimd/test/tensorfunc/7_tensor_transpose.cpp
rename to executor/op-mem-ompsimd/test/tensorfunc/7_tensor_transpose.cpp
diff --git a/excuter/op-mem-ompsimd/test/tensorfunc/8_tensor_concat.cpp b/executor/op-mem-ompsimd/test/tensorfunc/8_tensor_concat.cpp
similarity index 100%
rename from excuter/op-mem-ompsimd/test/tensorfunc/8_tensor_concat.cpp
rename to executor/op-mem-ompsimd/test/tensorfunc/8_tensor_concat.cpp
diff --git a/excuter/op-mem-ompsimd/test/tensorfunc/CMakeLists.txt b/executor/op-mem-ompsimd/test/tensorfunc/CMakeLists.txt
similarity index 100%
rename from excuter/op-mem-ompsimd/test/tensorfunc/CMakeLists.txt
rename to executor/op-mem-ompsimd/test/tensorfunc/CMakeLists.txt
diff --git a/excuter/op-mem-ompsimd/test/tensorfunc/tensorutil.hpp b/executor/op-mem-ompsimd/test/tensorfunc/tensorutil.hpp
similarity index 100%
rename from excuter/op-mem-ompsimd/test/tensorfunc/tensorutil.hpp
rename to executor/op-mem-ompsimd/test/tensorfunc/tensorutil.hpp
diff --git a/front/go/README.md b/front/go/README.md
index bd2e1da0..72142e9d 100644
--- a/front/go/README.md
+++ b/front/go/README.md
@@ -8,7 +8,7 @@
 
 deepx-py是控制侧，负责生成计算图，通过通信调用其他进程
 
-在excuter中，实现了具体的存算引擎
+在executor中，实现了具体的存算引擎
 
 
 
diff --git a/front/py/.cursorrules b/front/py/.cursorrules
index 91c6c0ef..42747b69 100644
--- a/front/py/.cursorrules
+++ b/front/py/.cursorrules
@@ -9,6 +9,6 @@ Always respond in 中文
 是deepx的python部分，项目路径为/home/lipeng/code/ai/deepx/front/py
 deepx的对外暴露的设计，尽可能接近pytorch的API
 deepx_py是前端，负责搭建深度学习模型,但并不参与实际数据存储和计算
-deepx_py虽然有类似pytorch的API,但只是调用excuter内的对应实现
-deepx_py依赖网络api调用后端excuter的计算
-deepx_py的每个OP，都会在excuter内找到对应的实现
\ No newline at end of file
+deepx_py虽然有类似pytorch的API,但只是调用executor内的对应实现
+deepx_py依赖网络api调用后端executor的计算
+deepx_py的每个OP，都会在executor内找到对应的实现
\ No newline at end of file
diff --git a/front/py/deepx/README.md b/front/py/deepx/README.md
index 5e131e97..979d09ac 100644
--- a/front/py/deepx/README.md
+++ b/front/py/deepx/README.md
@@ -8,7 +8,7 @@ deepx-py是为了构建抽象计算图的py接口库
 
 deepx-py是控制侧，负责生成计算图，通过通信调用其他进程
 
-在excuter中，实现了具体的存算引擎
+在executor中，实现了具体的存算引擎