diff --git a/.github/policies/issueLabeler.yml b/.github/policies/issueLabeler.yml index 462c0c710..7ef244836 100644 --- a/.github/policies/issueLabeler.yml +++ b/.github/policies/issueLabeler.yml @@ -1,86 +1,148 @@ id: name: Issue Triage -description: Assign label to issues +description: Assign label to issues owner: resource: repository where: configuration: resourceManagementConfiguration: eventResponderTasks: - - if: + - description: Add api:java label to new issues + if: - payloadType: Issues - - and: - - isOpen - - not: - and: - - isAssignedToSomeone - - isLabeled + - isOpen + - not: + labelRemoved: + label: api:java + - or: + - titleContains: + pattern: (?i)\bjava\b + isRegex: True + - bodyContains: + pattern: (?i)\bjava\b + isRegex: True then: - - if: - - or: - - titleContains: - pattern: '/\bcuda\b/i' - isRegex: True - - bodyContains: - pattern: '/\bcuda\b/i' - isRegex: True - then: - - addLabel: - label: ep:CUDA - - if: - - or: - - titleContains: - pattern: '/\bjava\b/i' - isRegex: True - - bodyContains: - pattern: '/\bjava\b/i' - isRegex: True - then: - - addLabel: - label: api:Java - - if: - - or: - - titleContains: - pattern: '/(\bdirect\s*ml\b|\bdml\b)/i' - isRegex: True - - bodyContains: - pattern: '/(\bdirect\s*ml\b|\bdml\b)/i' - isRegex: True - then: - - addLabel: - label: ep:DML - - if: - - or: - - titleContains: - pattern: '/(\bobj(?:ective)?-?c\b|\bnnapi\b|\bmobile\b|\bandroid\b|\bios\b|\bxamarin\b|\bmaui\b)/i' - isRegex: True - - bodyContains: - pattern: '/(\bobj(?:ective)?-?c\b|\bnnapi\b|\bmobile\b|\bandroid\b|\bios\b|\bxamarin\b|\bmaui\b)/i' - isRegex: True - then: - - addLabel: - label: platform:mobile - - if: - - or: - - titleContains: - pattern: '/(\bwindows\b|\bwinrt\b|\bwinml\b)/i' - isRegex: True - - bodyContains: - pattern: '/(\bwindows\b|\bwinrt\b|\bwinml\b)/i' - isRegex: True - then: - - addLabel: - label: platform:windows - - if: - - or: - - titleContains: - pattern: '/\btransformers(?!\.js)\b/i' - isRegex: True - - bodyContains: - pattern: '/\btransformers(?!\.js)\b/i' - isRegex: True - then: - - addLabel: - label: model:transformer + - addLabel: + label: api:java + - description: Add api:javascript label to new issues + if: + - payloadType: Issues + - isOpen + - not: + labelRemoved: + label: api:javascript + - or: + - titleContains: + pattern: (?i)\bjavascript\b + isRegex: True + - bodyContains: + pattern: (?i)\bjavascript\b + isRegex: True + then: + - addLabel: + label: api:javascript + - description: Add ep:CUDA label to new issues + if: + - payloadType: Issues + - isOpen + - not: + labelRemoved: + label: ep:CUDA + - titleContains: + pattern: (?i)\bcuda\b + isRegex: True + then: + - addLabel: + label: ep:CUDA + - description: Add ep:DML label to new issues + if: + - payloadType: Issues + - isOpen + - not: + labelRemoved: + label: ep:DML + - or: + - titleContains: + pattern: (?i)(\bdirect\s*ml\b|\bdml\b) + isRegex: True + - bodyContains: + pattern: (?i)(\bdirect\s*ml\b|\bdml\b) + isRegex: True + then: + - addLabel: + label: ep:DML + - description: Add ep:TensorRT label to new issues + if: + - payloadType: Issues + - isOpen + - not: + labelRemoved: + label: ep:TensorRT + - titleContains: + pattern: (?i)(\btensor\s*rt\b|\btrt\b) + isRegex: True + then: + - addLabel: + label: ep:TensorRT + - description: Add platform:jetson label to new issues + if: + - payloadType: Issues + - isOpen + - not: + labelRemoved: + label: platform:jetson + - or: + - titleContains: + pattern: (?i)(\bjetson\b|\bjetpack\b) + isRegex: True + - bodyContains: + pattern: (?i)(\bjetson\b|\bjetpack\b) + isRegex: True + then: + - addLabel: + label: platform:jetson + - description: Add platform:mobile label to new issues + if: + - payloadType: Issues + - isOpen + - not: + labelRemoved: + label: platform:mobile + - or: + - titleContains: + pattern: (?i)(\bobj(?:ective)?-?c\b|\bnnapi\b|\bmobile\b|\bandroid\b|\bios\b|\bxamarin\b|\bmaui\b) + isRegex: True + - bodyContains: + pattern: (?i)(\bobj(?:ective)?-?c\b|\bnnapi\b|\bmobile\b|\bandroid\b|\bios\b|\bxamarin\b|\bmaui\b) + isRegex: True + then: + - addLabel: + label: platform:mobile + - description: Add platform:windows label to new issues + if: + - payloadType: Issues + - isOpen + - not: + labelRemoved: + label: platform:windows + - titleContains: + pattern: (?i)(\bwindows\b|\bwinrt\b|\bwinml\b) + isRegex: True + then: + - addLabel: + label: platform:windows + - description: Add quantization label to new issues + if: + - payloadType: Issues + - isOpen + - not: + labelRemoved: + label: quantization + - titleContains: + pattern: (?i)(quant|\bqdq\b) + isRegex: True + then: + - addLabel: + label: quantization onFailure: onSuccess: diff --git a/.github/policies/test_issueLabeler.yml b/.github/policies/test_issueLabeler.yml index eb4e4489e..303c8dbf3 100644 --- a/.github/policies/test_issueLabeler.yml +++ b/.github/policies/test_issueLabeler.yml @@ -7,18 +7,15 @@ where: configuration: resourceManagementConfiguration: eventResponderTasks: - - if: + - description: Add ep:CUDA label to new issues + if: - payloadType: Issues - isOpen + - titleContains: + pattern: (?i)\bcuda\b + isRegex: True then: - - if: - - or: - - titleContains: - pattern: shark - - bodyContains: - pattern: strawberry - then: - - addLabel: - label: wontfix + - addLabel: + label: ep:CUDA onFailure: onSuccess: diff --git a/.github/workflows/clang-format-lint.yml b/.github/workflows/clang-format-lint.yml index 801d04ffb..15ec1c29e 100644 --- a/.github/workflows/clang-format-lint.yml +++ b/.github/workflows/clang-format-lint.yml @@ -11,8 +11,12 @@ jobs: steps: - uses: actions/checkout@v2 + - uses: actions/setup-python@v5 + with: + python-version: '3.11.x' + architecture: 'x64' - uses: DoozyX/clang-format-lint-action@v0.17 with: source: './src' extensions: 'h,cpp' - clangFormatVersion: 17 \ No newline at end of file + clangFormatVersion: 17 diff --git a/.github/workflows/linux-cpu-arm64-build.yml b/.github/workflows/linux-cpu-arm64-build.yml index 8a72cd25c..362331591 100644 --- a/.github/workflows/linux-cpu-arm64-build.yml +++ b/.github/workflows/linux-cpu-arm64-build.yml @@ -92,4 +92,4 @@ jobs: run: | docker run --rm \ --volume $GITHUB_WORKSPACE:/onnxruntime_src \ - -w /onnxruntime_src ort_genai_linux_arm64_gha bash -c "LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/onnxruntime_src/build/cpu/ /onnxruntime_src/build/cpu/test/unit_tests" + -w /onnxruntime_src ort_genai_linux_arm64_gha bash -c "LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/onnxruntime_src/ort/lib/ /onnxruntime_src/build/cpu/unit_tests" diff --git a/.github/workflows/linux-cpu-x64-build.yml b/.github/workflows/linux-cpu-x64-build.yml index 6f970fdc0..102b9a790 100644 --- a/.github/workflows/linux-cpu-x64-build.yml +++ b/.github/workflows/linux-cpu-x64-build.yml @@ -68,39 +68,37 @@ jobs: - name: Install the python wheel and test dependencies run: | python3 -m pip install -r test/python/requirements.txt --user - python3 -m pip install -r test/python/requirements-cpu.txt --user - python3 -m pip install build/cpu/wheel/onnxruntime_genai*.whl --user --no-deps + python3 -m pip install -r test/python/cpu/torch/requirements.txt --user + python3 -m pip install -r test/python/cpu/ort/requirements.txt --user + python3 -m pip install --user --no-index --no-deps --find-links build/cpu/wheel onnxruntime_genai - - name: Get HuggingFace Token + - name: Use Dummy HuggingFace Token run: | - az login --identity --username 63b63039-6328-442f-954b-5a64d124e5b4 - HF_TOKEN=$(az keyvault secret show --vault-name anubissvcsecret --name ANUBIS-HUGGINGFACE-TOKEN --query value) - echo "::add-mask::$HF_TOKEN" - echo "HF_TOKEN=$HF_TOKEN" >> $GITHUB_ENV + echo "HF_TOKEN=12345" >> $GITHUB_ENV - - name: Remove the ort lib and header files + - name: Verify Build Artifacts + if: always() + continue-on-error: true run: | - rm -rf ort + ls -l ${{ github.workspace }}/build/cpu + ls -l ${{ github.workspace }}/build/cpu/wheel # This will also download all the test models to the test/test_models directory # These models are used by the python tests as well as C#, C++ and others. - name: Run the python tests run: | + export ORTGENAI_LOG_ORT_LIB=1 python3 test/python/test_onnxruntime_genai.py --cwd test/python --test_models test/test_models - name: Build the C# API and Run the C# Tests run: | + export ORTGENAI_LOG_ORT_LIB=1 cd test/csharp - dotnet test /p:Configuration=Release /p:NativeBuildOutputDir="../../build/cpu/" - - - name: Verify Build Artifacts - if: always() - continue-on-error: true - run: | - ls -l ${{ github.workspace }}/build/cpu + dotnet test /p:Configuration=Release /p:NativeBuildOutputDir="../../build/cpu/" /p:OrtLibDir="../../ort/lib/" - name: Run tests run: | set -e -x - export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$GITHUB_WORKSPACE/build/cpu/ - ./build/cpu/test/unit_tests + export ORTGENAI_LOG_ORT_LIB=1 + export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$GITHUB_WORKSPACE/ort/lib + ./build/cpu/unit_tests diff --git a/.github/workflows/linux-cpu-x64-nightly-build.yml b/.github/workflows/linux-cpu-x64-nightly-build.yml index 01f4cea5f..61be5eb6f 100644 --- a/.github/workflows/linux-cpu-x64-nightly-build.yml +++ b/.github/workflows/linux-cpu-x64-nightly-build.yml @@ -51,15 +51,13 @@ jobs: - name: Install the python wheel and test dependencies run: | python3 -m pip install -r test/python/requirements.txt --user - python3 -m pip install -r test/python/requirements-cpu.txt --user + python3 -m pip install -r test/python/cpu/torch/requirements.txt --user + python3 -m pip install -r test/python/cpu/ort/requirements.txt --user python3 -m pip install build/cpu/wheel/onnxruntime_genai*.whl --no-deps - - name: Get HuggingFace Token + - name: Use Dummy HuggingFace Token run: | - az login --identity --username 63b63039-6328-442f-954b-5a64d124e5b4 - HF_TOKEN=$(az keyvault secret show --vault-name anubissvcsecret --name ANUBIS-HUGGINGFACE-TOKEN --query value) - echo "::add-mask::$HF_TOKEN" - echo "HF_TOKEN=$HF_TOKEN" >> $GITHUB_ENV + echo "HF_TOKEN=12345" >> $GITHUB_ENV - name: Run the python tests run: | diff --git a/.github/workflows/linux-gpu-x64-build.yml b/.github/workflows/linux-gpu-x64-build.yml index 857d54fd1..843485fa9 100644 --- a/.github/workflows/linux-gpu-x64-build.yml +++ b/.github/workflows/linux-gpu-x64-build.yml @@ -20,8 +20,8 @@ env: jobs: linux-cuda-x64-build: env : - PYTHON_EXECUTABLE: "/opt/python/cp38-cp38/bin/python3.8" - runs-on: [ "self-hosted", "1ES.Pool=onnxruntime-genai-Ubuntu2004-T4" ] + PYTHON_EXECUTABLE: "/opt/python/cp310-cp310/bin/python3.10" + runs-on: [ "self-hosted", "1ES.Pool=onnxruntime-genai-Ubuntu2204-A10" ] steps: - name: Checkout OnnxRuntime GenAI repo uses: actions/checkout@v4 @@ -109,16 +109,9 @@ jobs: bash -c " \ /usr/bin/cmake --build --preset linux_gcc_cuda_release" - - name: Get HuggingFace Token + - name: Use Dummy HuggingFace Token run: | - az login --identity --username 63b63039-6328-442f-954b-5a64d124e5b4 - HF_TOKEN=$(az keyvault secret show --vault-name anubissvcsecret --name ANUBIS-HUGGINGFACE-TOKEN --query value) - echo "::add-mask::$HF_TOKEN" - echo "HF_TOKEN=$HF_TOKEN" >> $GITHUB_ENV - - - name: Remove the ort lib and header files - run: | - rm -rf ort + echo "HF_TOKEN=12345" >> $GITHUB_ENV - name: Install the onnxruntime-genai Python wheel and run python test run: | @@ -131,7 +124,8 @@ jobs: -e HF_TOKEN=$HF_TOKEN \ -w /ort_genai_src onnxruntimecudabuildx64 bash -c " \ ${{ env.PYTHON_EXECUTABLE }} -m pip install -r test/python/requirements.txt --user && \ - ${{ env.PYTHON_EXECUTABLE }} -m pip install -r test/python/requirements-cuda.txt --user && \ + ${{ env.PYTHON_EXECUTABLE }} -m pip install -r test/python/cuda/torch/requirements.txt --user && \ + ${{ env.PYTHON_EXECUTABLE }} -m pip install -r test/python/cuda/ort/requirements.txt --user && \ ${{ env.PYTHON_EXECUTABLE }} -m pip install /ort_genai_src/build/cuda/wheel/onnxruntime_genai*manylinux*.whl --no-deps --user && \ ${{ env.PYTHON_EXECUTABLE }} test/python/test_onnxruntime_genai.py --cwd test/python --test_models test/test_models --e2e" @@ -154,4 +148,4 @@ jobs: --rm \ --volume /data/ortgenai_pytorch_models:/data/ortgenai_pytorch_models \ --volume $GITHUB_WORKSPACE:/ort_genai_src \ - -w /ort_genai_src onnxruntimecudabuildx64 bash -c "LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/ort_genai_src/build/cuda/ /ort_genai_src/build/cuda/test/unit_tests" + -w /ort_genai_src onnxruntimecudabuildx64 bash -c "ORTGENAI_LOG_ORT_LIB=1 LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/ort_genai_src/build/cuda/ /ort_genai_src/build/cuda/unit_tests" diff --git a/.github/workflows/mac-cpu-arm64-build.yml b/.github/workflows/mac-cpu-arm64-build.yml index 9f861a96d..fe5a72c68 100644 --- a/.github/workflows/mac-cpu-arm64-build.yml +++ b/.github/workflows/mac-cpu-arm64-build.yml @@ -14,17 +14,21 @@ env: ORT_PACKAGE_NAME: "Microsoft.ML.OnnxRuntime" jobs: mac-cpu-arm64-build: - runs-on: macos-latest + runs-on: macos-latest # arm64 steps: - name: Checkout OnnxRuntime GenAI repo uses: actions/checkout@v4 with: submodules: true + - uses: actions/setup-python@v5 + with: + python-version: '3.12.x' + - name: Get the Latest OnnxRuntime Nightly Version run: | ORT_NIGHTLY_VERSION=$(curl -s "${{ env.ORT_NIGHTLY_REST_API }}" | jq -r '.value[0].versions[0].normalizedVersion') - echo "$ORT_NIGHTLY_VERSION" + echo "$ORT_NIGHTLY_VERSION" echo "ORT_NIGHTLY_VERSION=$ORT_NIGHTLY_VERSION" >> $GITHUB_ENV - name: Download OnnxRuntime Nightly run: | @@ -36,26 +40,53 @@ jobs: mv ${{ env.ORT_PACKAGE_NAME }}/build/native/include ort/ mv ${{ env.ORT_PACKAGE_NAME }}/runtimes/osx-arm64/native/* ort/lib/ - - name: Configure CMake run: | - cmake --preset macos_cpu_release + cmake --preset macos_arm64_cpu_release - name: Build with CMake run: | - cmake --build --preset macos_cpu_release --parallel + cmake --build --preset macos_arm64_cpu_release --parallel continue-on-error: false + - name: Install the python wheel and test dependencies + run: | + python3 -m venv genai-macos-venv + source genai-macos-venv/bin/activate + python3 -m pip install -r test/python/requirements.txt + python3 -m pip install -r test/python/macos/torch/requirements.txt + python3 -m pip install -r test/python/macos/ort/requirements.txt + python3 -m pip install build/cpu/osx-arm64/wheel/onnxruntime_genai*.whl --no-deps + + - name: Remove the ort lib and header files + run: | + rm -rf ort + - name: Verify Build Artifacts if: always() continue-on-error: true run: | - ls -l ${{ github.workspace }}/build + ls -l ${{ github.workspace }}/build/cpu/osx-arm64 + ls -l ${{ github.workspace }}/build/cpu/osx-arm64/wheel - - name: Upload Build Artifacts - uses: actions/upload-artifact@v3 - with: - name: onnxruntime-genai-mac-cpu-arm64 - path: ${{ github.workspace }}/build/**/*.a + # This will also download all the test models to the test/test_models directory + # These models are used by the python tests as well as C#, C++ and others. + - name: Run the python tests + run: | + source genai-macos-venv/bin/activate + export HF_TOKEN="12345" + export ORTGENAI_LOG_ORT_LIB=1 + python3 test/python/test_onnxruntime_genai.py --cwd test/python --test_models test/test_models + - name: Build the C# API and Run the C# Tests + run: | + export ORTGENAI_LOG_ORT_LIB=1 + cd test/csharp + dotnet test /p:Configuration=Release /p:NativeBuildOutputDir="../../build/cpu/osx-arm64" + - name: Run tests + run: | + set -e -x + export ORTGENAI_LOG_ORT_LIB=1 + export DYLD_LIBRARY_PATH=$DYLD_LIBRARY_PATH:$GITHUB_WORKSPACE/build/cpu/osx-arm64 + ./build/cpu/osx-arm64/unit_tests diff --git a/.github/workflows/win-cpu-arm64-build.yml b/.github/workflows/win-cpu-arm64-build.yml index a7c309dba..9450e10df 100644 --- a/.github/workflows/win-cpu-arm64-build.yml +++ b/.github/workflows/win-cpu-arm64-build.yml @@ -64,7 +64,7 @@ jobs: - name: Build the C# API and Run the C# Tests run: | cd test\csharp - dotnet test /p:NativeBuildOutputDir="$env:GITHUB_WORKSPACE\$env:binaryDir\Release" + dotnet test /p:NativeBuildOutputDir="$env:GITHUB_WORKSPACE\$env:binaryDir\Release" /p:OrtLibDir="$env:GITHUB_WORKSPACE\ort\lib" - name: Install the Python Wheel and Test Dependencies run: | @@ -85,4 +85,5 @@ jobs: - name: Run tests run: | - & .\$env:binaryDir\test\Release\unit_tests.exe \ No newline at end of file + copy $env:GITHUB_WORKSPACE\ort\lib\* .\$env:binaryDir\Release + & .\$env:binaryDir\Release\unit_tests.exe \ No newline at end of file diff --git a/.github/workflows/win-cpu-x64-build.yml b/.github/workflows/win-cpu-x64-build.yml index 177b0cad5..22399ed89 100644 --- a/.github/workflows/win-cpu-x64-build.yml +++ b/.github/workflows/win-cpu-x64-build.yml @@ -75,15 +75,13 @@ jobs: - name: Install the python wheel and test dependencies run: | python3 -m pip install -r test\python\requirements.txt --user - python3 -m pip install -r test\python\requirements-cpu.txt --user + python3 -m pip install -r test\python\cpu\torch\requirements.txt --user + python3 -m pip install -r test\python\cpu\ort\requirements.txt --user python3 -m pip install (Get-ChildItem ("$env:binaryDir\wheel\*.whl")) --no-deps - - name: Get HuggingFace Token + - name: Use Dummy HuggingFace Token run: | - az login --identity --username 63b63039-6328-442f-954b-5a64d124e5b4 - $HF_TOKEN = (az keyvault secret show --vault-name anubissvcsecret --name ANUBIS-HUGGINGFACE-TOKEN --query value) - Write-Output "::add-mask::$HF_TOKEN" - Add-Content -Path $env:GITHUB_ENV -Value "HF_TOKEN=$HF_TOKEN" + Add-Content -Path $env:GITHUB_ENV -Value "HF_TOKEN=12345" - name: Run the Python Tests run: | @@ -92,7 +90,7 @@ jobs: - name: Build the C# API and Run the C# Tests run: | cd test\csharp - dotnet test /p:NativeBuildOutputDir="$env:GITHUB_WORKSPACE\$env:binaryDir\Release" + dotnet test /p:NativeBuildOutputDir="$env:GITHUB_WORKSPACE\$env:binaryDir\Release" /p:OrtLibDir="$env:GITHUB_WORKSPACE\ort\lib" - name: Verify Build Artifacts if: always() @@ -103,7 +101,8 @@ jobs: - name: Run tests run: | - & .\$env:binaryDir\test\Release\unit_tests.exe + copy $env:GITHUB_WORKSPACE\ort\lib\* .\$env:binaryDir\Release + & .\$env:binaryDir\Release\unit_tests.exe - name: Perform CodeQL Analysis uses: github/codeql-action/analyze@v3 diff --git a/.github/workflows/win-cuda-x64-build.yml b/.github/workflows/win-cuda-x64-build.yml index 5e0dca157..3bff048a7 100644 --- a/.github/workflows/win-cuda-x64-build.yml +++ b/.github/workflows/win-cuda-x64-build.yml @@ -63,7 +63,7 @@ jobs: - name: Configure CMake run: | - cmake --preset windows_x64_cuda_release -T cuda=${{ env.cuda_dir }}\\v${{ env.cuda_version }} -DTEST_PHI2=False + cmake --preset windows_x64_cuda_release -T cuda=${{ env.cuda_dir }}\\v${{ env.cuda_version }} - name: Build with CMake run: | @@ -76,20 +76,18 @@ jobs: - name: Build the C# API and Run the C# Tests run: | cd test\csharp - dotnet test /p:Configuration=release /p:NativeBuildOutputDir="$env:GITHUB_WORKSPACE\$env:binaryDir\Release" + dotnet test /p:Configuration=release /p:NativeBuildOutputDir="$env:GITHUB_WORKSPACE\$env:binaryDir\Release" /p:OrtLibDir="$env:GITHUB_WORKSPACE\ort\lib" - name: Install the Python Wheel and Test Dependencies run: | python -m pip install -r test\python\requirements.txt - python -m pip install -r test\python\requirements-cuda.txt + python -m pip install -r test\python\cuda\torch\requirements.txt + python -m pip install -r test\python\cuda\ort\requirements.txt python -m pip install (Get-ChildItem ("$env:binaryDir\wheel\*.whl")) --no-deps - - name: Get HuggingFace Token + - name: Use Dummy HuggingFace Token run: | - az login --identity --username 63b63039-6328-442f-954b-5a64d124e5b4 - $HF_TOKEN = (az keyvault secret show --vault-name anubissvcsecret --name ANUBIS-HUGGINGFACE-TOKEN --query value) - Write-Output "::add-mask::$HF_TOKEN" - Add-Content -Path $env:GITHUB_ENV -Value "HF_TOKEN=$HF_TOKEN" + Add-Content -Path $env:GITHUB_ENV -Value "HF_TOKEN=12345" - name: Run the Python Tests run: | @@ -106,4 +104,5 @@ jobs: run: | $env:PATH = "${{ env.cuda_dir }}\\v${{ env.cuda_version }}\\bin;" + $env:PATH echo "Current PATH variable is: $env:PATH" - & .\$env:binaryDir\test\Release\unit_tests.exe \ No newline at end of file + copy $env:GITHUB_WORKSPACE\ort\lib\* .\$env:binaryDir\Release + & .\$env:binaryDir\Release\unit_tests.exe \ No newline at end of file diff --git a/.github/workflows/win-directml-x64-build.yml b/.github/workflows/win-directml-x64-build.yml index 3e2c121c3..678573606 100644 --- a/.github/workflows/win-directml-x64-build.yml +++ b/.github/workflows/win-directml-x64-build.yml @@ -14,16 +14,14 @@ concurrency: env: AZCOPY_AUTO_LOGIN_TYPE: MSI AZCOPY_MSI_CLIENT_ID: 63b63039-6328-442f-954b-5a64d124e5b4 - ort_dir: "Microsoft.ML.OnnxRuntime.DirectML.1.17.3" - ort_zip: "Microsoft.ML.OnnxRuntime.DirectML.1.17.3.zip" - # TODO: Update with nightly ORT-DML build - ort_url: "https://github.com/microsoft/onnxruntime/releases/download/v1.17.3/Microsoft.ML.OnnxRuntime.DirectML.1.17.3.zip" - dml_dir: "Microsoft.AI.DirectML.1.15.1" - dml_zip: "Microsoft.AI.DirectML.1.15.1.zip" - dml_url: "https://www.nuget.org/api/v2/package/Microsoft.AI.DirectML/1.15.1" - d3d12_dir: "Microsoft.Direct3D.D3D12.1.614.0" - d3d12_zip: "Microsoft.Direct3D.D3D12.1.614.0.zip" - d3d12_url: "https://www.nuget.org/api/v2/package/Microsoft.Direct3D.D3D12/1.614.0" + ORT_NIGHTLY_REST_API: "https://feeds.dev.azure.com/aiinfra/PublicPackages/_apis/packaging/Feeds/ORT-Nightly/packages?packageNameQuery=Microsoft.ML.OnnxRuntime&api-version=6.0-preview.1" + ORT_PACKAGE_NAME: "Microsoft.ML.OnnxRuntime.DirectML" + dml_dir: "Microsoft.AI.DirectML.1.15.2" + dml_zip: "Microsoft.AI.DirectML.1.15.2.zip" + dml_url: "https://www.nuget.org/api/v2/package/Microsoft.AI.DirectML/1.15.2" + d3d12_dir: "Microsoft.Direct3D.D3D12.1.614.1" + d3d12_zip: "Microsoft.Direct3D.D3D12.1.614.1.zip" + d3d12_url: "https://www.nuget.org/api/v2/package/Microsoft.Direct3D.D3D12/1.614.1" binaryDir: 'build/directml/win-x64' @@ -41,9 +39,14 @@ jobs: python-version: '3.11.x' architecture: 'x64' - - name: Download OnnxRuntime + - name: Download OnnxRuntime Nightly + shell: pwsh run: | - Invoke-WebRequest -Uri $env:ort_url -OutFile $env:ort_zip + $resp = Invoke-RestMethod "${{ env.ORT_NIGHTLY_REST_API }}" + $ORT_NIGHTLY_VERSION = $resp.value[0].versions[0].normalizedVersion + Write-Host "$ORT_NIGHTLY_VERSION" + "ORT_NIGHTLY_VERSION=$ORT_NIGHTLY_VERSION" | Out-File -FilePath $env:GITHUB_ENV -Append + nuget install ${{ env.ORT_PACKAGE_NAME }} -version $ORT_NIGHTLY_VERSION -x -NonInteractive - name: Download DirectML run: | @@ -53,10 +56,11 @@ jobs: run: | Invoke-WebRequest -Uri $env:d3d12_url -OutFile $env:d3d12_zip - - name: Unzip OnnxRuntime + - name: Extract OnnxRuntime library and header files run: | - Expand-Archive $env:ort_zip -DestinationPath $env:ort_dir - Remove-Item -Path $env:ort_zip + mkdir ort/lib + move ${{ env.ORT_PACKAGE_NAME }}/build/native/include ort/ + move ${{ env.ORT_PACKAGE_NAME }}/runtimes/win-x64/native/* ort/lib/ - name: Unzip DirectML run: | @@ -70,14 +74,8 @@ jobs: - name: Move the files to the ort directory run: | - mkdir ort/lib - mkdir ort/include - mv $env:ort_dir\runtimes\win-x64\native\onnxruntime.dll ort\lib - mv $env:ort_dir\runtimes\win-x64\native\onnxruntime.lib ort\lib mv $env:dml_dir\bin\x64-win\DirectML.dll ort\lib mv $env:d3d12_dir\build\native\bin\x64\D3D12Core.dll ort\lib - mv $env:ort_dir\build\native\include\dml_provider_factory.h ort\include - mv $env:ort_dir\build\native\include\onnxruntime_c_api.h ort\include mv $env:dml_dir\include\DirectML.h ort\include - name: Configure CMake @@ -91,7 +89,8 @@ jobs: - name: Install the Python Wheel and Test Dependencies run: | python -m pip install -r test\python\requirements.txt - python -m pip install -r test\python\requirements-directml.txt + python -m pip install -r test\python\directml\torch\requirements.txt + python -m pip install -r test\python\directml\ort\requirements.txt python -m pip install (Get-ChildItem ("$env:binaryDir\wheel\*.whl")) --no-deps - name: Verify Build Artifacts @@ -102,4 +101,5 @@ jobs: - name: Run tests run: | - & .\$env:binaryDir\test\Release\unit_tests.exe \ No newline at end of file + copy $env:GITHUB_WORKSPACE\ort\lib\* $env:GITHUB_WORKSPACE\$env:binaryDir\Release + & .\$env:binaryDir\Release\unit_tests.exe \ No newline at end of file diff --git a/.pipelines/codeql.yaml b/.pipelines/codeql.yaml index a2bc08934..2a9582293 100644 --- a/.pipelines/codeql.yaml +++ b/.pipelines/codeql.yaml @@ -41,7 +41,7 @@ stages: - task: onebranch.pipeline.tsaoptions@1 displayName: 'OneBranch TSAOptions' inputs: - tsaConfigFilePath: '$(Build.Repository.LocalPath)\.config\tsaoptions.json' + tsaConfigFilePath: '$(Build.Repository.LocalPath)/.config/tsaoptions.json' appendSourceBranchName: false - task: CredScan@3 displayName: 🔍 Run CredScan @@ -64,5 +64,5 @@ stages: condition: and (succeeded(), eq(variables['Build.SourceBranch'], 'refs/heads/main')) continueOnError: true inputs: + tsaConfigFilePath: '$(Build.Repository.LocalPath)/.config/tsaoptions.json' GdnPublishTsaOnboard: true - GdnPublishTsaConfigFile: '$(Build.Repository.LocalPath)\.config\tsaoptions.json' \ No newline at end of file diff --git a/.pipelines/nuget-publishing.yml b/.pipelines/nuget-publishing.yml index 137e2c36f..769277098 100644 --- a/.pipelines/nuget-publishing.yml +++ b/.pipelines/nuget-publishing.yml @@ -33,20 +33,35 @@ parameters: type: boolean default: true +- name: enable_macos_cpu + displayName: 'Whether MacOS CPU package is built.' + type: boolean + default: true + +- name: enable_android + displayName: 'Whether Android AAR package is built.' + type: boolean + default: true + +- name: enable_apple_framework + displayName: 'Whether Apple framework for iOS & MacCatalyst is built.' + type: boolean + default: false + - name: ort_version displayName: 'OnnxRuntime version' type: string - default: '1.19.0-dev-20240805-1630-ee2fe87e2d' + default: '1.20.0-dev-20241023-1635-2d00351d7b' - name: ort_cuda_version displayName: 'OnnxRuntime GPU version' type: string - default: '1.19.0-dev-20240805-0337-88c811b638' + default: '1.20.0-dev-20241022-1606-2d00351d7b' - name: ort_dml_version displayName: 'OnnxRuntime DML version' type: string - default: '1.19.0-dev-20240805-1630-ee2fe87e2d' + default: '1.20.0-dev-20241023-1635-2d00351d7b' - name: cuda_version displayName: 'CUDA version' @@ -83,6 +98,9 @@ stages: enable_linux_cuda: ${{ parameters.enable_linux_cuda }} enable_win_dml: ${{ parameters.enable_win_dml }} enable_win_arm64: ${{ parameters.enable_win_arm64 }} + enable_macos_cpu: ${{ parameters.enable_macos_cpu }} + enable_android: ${{ parameters.enable_android }} + enable_apple_framework: ${{ parameters.enable_apple_framework }} ort_version: ${{ parameters.ort_version }} ort_cuda_version: ${{ parameters.ort_cuda_version }} ort_dml_version: ${{ parameters.ort_dml_version }} @@ -97,6 +115,9 @@ stages: enable_linux_cuda: ${{ parameters.enable_linux_cuda }} enable_win_dml: ${{ parameters.enable_win_dml }} enable_win_arm64: ${{ parameters.enable_win_arm64 }} + enable_macos_cpu: ${{ parameters.enable_macos_cpu }} + enable_android: ${{ parameters.enable_android }} + enable_apple_framework: ${{ parameters.enable_apple_framework }} ort_version: ${{ parameters.ort_version }} ort_cuda_version: ${{ parameters.ort_cuda_version }} ort_dml_version: ${{ parameters.ort_dml_version }} @@ -111,6 +132,7 @@ stages: enable_linux_cuda: ${{ parameters.enable_linux_cuda }} enable_win_dml: ${{ parameters.enable_win_dml }} enable_win_arm64: ${{ parameters.enable_win_arm64 }} + enable_macos_cpu: ${{ parameters.enable_macos_cpu }} ort_version: ${{ parameters.ort_version }} ort_cuda_version: ${{ parameters.ort_cuda_version }} ort_dml_version: ${{ parameters.ort_dml_version }} diff --git a/.pipelines/pypl-publishing.yml b/.pipelines/pypl-publishing.yml index 6ecbc938e..d627da7a5 100644 --- a/.pipelines/pypl-publishing.yml +++ b/.pipelines/pypl-publishing.yml @@ -37,32 +37,12 @@ parameters: - name: enable_linux_rocm displayName: 'Whether Linux ROCm package is built.' type: boolean - default: true - -- name: ort_version - displayName: 'OnnxRuntime version' - type: string - default: '1.19.0-dev-20240805-1630-ee2fe87e2d' - -- name: ort_cuda_118_version - displayName: 'OnnxRuntime GPU version for CUDA 11.8' - type: string - default: '1.18.0-dev-20240426-0614-b842effa29' - -- name: ort_cuda_122_version - displayName: 'OnnxRuntime GPU version for CUDA 12.2' - type: string - default: '1.19.0-dev-20240805-0337-88c811b638' - -- name: ort_dml_version - displayName: 'OnnxRuntime DML version' - type: string - default: '1.19.0-dev-20240805-1630-ee2fe87e2d' + default: false -- name: ort_rocm_version - displayName: 'OnnxRuntime ROCm version' - type: string - default: '1.19.0-dev-20240805-0337-88c811b638' +- name: enable_macos_cpu + displayName: 'Whether MacOS CPU package is built.' + type: boolean + default: true - name: cuda_versions displayName: 'CUDA versions' @@ -97,11 +77,7 @@ stages: enable_win_cuda: ${{ parameters.enable_win_cuda }} enable_win_dml: ${{ parameters.enable_win_dml }} enable_win_arm64_cpu: ${{ parameters.enable_win_arm64_cpu }} - ort_version: ${{ parameters.ort_version }} - ort_cuda_118_version: ${{ parameters.ort_cuda_118_version }} - ort_cuda_122_version: ${{ parameters.ort_cuda_122_version }} - ort_rocm_version: ${{ parameters.ort_rocm_version }} - ort_dml_version: ${{ parameters.ort_dml_version }} + enable_macos_cpu: ${{ parameters.enable_macos_cpu }} cuda_versions: ${{ parameters.cuda_versions }} build_config: ${{ parameters.build_config }} - ${{ if eq(parameters.enable_post_packaging_validation, true) }}: @@ -113,10 +89,6 @@ stages: enable_win_cuda: ${{ parameters.enable_win_cuda }} enable_win_dml: ${{ parameters.enable_win_dml }} enable_win_arm64_cpu: ${{ parameters.enable_win_arm64_cpu }} - ort_version: ${{ parameters.ort_version }} - ort_cuda_118_version: ${{ parameters.ort_cuda_118_version }} - ort_cuda_122_version: ${{ parameters.ort_cuda_122_version }} - ort_rocm_version: ${{ parameters.ort_rocm_version }} - ort_dml_version: ${{ parameters.ort_dml_version }} + enable_macos_cpu: ${{ parameters.enable_macos_cpu }} cuda_versions: ${{ parameters.cuda_versions }} SpecificArtifact: false \ No newline at end of file diff --git a/.pipelines/stages/capi-packaging-stage.yml b/.pipelines/stages/capi-packaging-stage.yml index 1b9021a72..a4aa477c9 100644 --- a/.pipelines/stages/capi-packaging-stage.yml +++ b/.pipelines/stages/capi-packaging-stage.yml @@ -11,6 +11,12 @@ parameters: type: boolean - name: enable_linux_cuda type: boolean +- name: enable_macos_cpu + type: boolean +- name: enable_android + type: boolean +- name: enable_apple_framework + type: boolean - name: ort_version type: string - name: ort_cuda_version @@ -91,4 +97,36 @@ stages: ep: 'cuda' ort_version: ${{ parameters.ort_cuda_version }} os: 'linux' - build_config: ${{ parameters.build_config }} \ No newline at end of file + build_config: ${{ parameters.build_config }} + + - ${{ if eq(parameters.enable_macos_cpu, true) }}: + - template: jobs/capi-packaging-job.yml + parameters: + arch: 'x64' + ep: 'cpu' + ort_version: ${{ parameters.ort_version }} + os: 'osx' + build_config: ${{ parameters.build_config }} + + - template: jobs/capi-packaging-job.yml + parameters: + arch: 'arm64' + ep: 'cpu' + ort_version: ${{ parameters.ort_version }} + os: 'osx' + build_config: ${{ parameters.build_config }} + + - ${{ if eq(parameters.enable_android, true) }}: + - template: jobs/android-java-api-aar.yml + parameters: + ort_version: ${{ parameters.ort_version }} + build_config: ${{ parameters.build_config }} + + - ${{ if eq(parameters.enable_apple_framework, true) }}: + - template: jobs/capi-packaging-job.yml + parameters: + os: 'ios' + ep: 'cpu' + arch: 'arm64' + ort_version: ${{ parameters.ort_version }} + build_config: ${{ parameters.build_config }} diff --git a/.pipelines/stages/jobs/android-java-api-aar.yml b/.pipelines/stages/jobs/android-java-api-aar.yml index ab6b84a1e..f9b145308 100644 --- a/.pipelines/stages/jobs/android-java-api-aar.yml +++ b/.pipelines/stages/jobs/android-java-api-aar.yml @@ -26,26 +26,18 @@ jobs: - template: steps/utils/use-android-ndk.yml - template: steps/utils/set-genai-version.yml - - - task: CmdLine@2 - displayName: Download ORT AAR package - inputs: - script: | - set -e -x - ORT_VERSION=${{parameters.ort_version}} - wget https://repo1.maven.org/maven2/com/microsoft/onnxruntime/onnxruntime-android/$ORT_VERSION/onnxruntime-android-$ORT_VERSION.aar - unzip onnxruntime-android-$ORT_VERSION.aar -d ort - ls -lR ort - workingDirectory: $(Build.SourcesDirectory) + - template: steps/utils/set-cmake-build-type.yml + parameters: + build_config: ${{parameters.build_config}} - task: CmdLine@2 displayName: Build Android AAR Packages inputs: script: | set -e -x - + BUILD_DIR=$(Build.BinariesDirectory) - BUILD_CONFIG=${{parameters.build_config}} + BUILD_CONFIG=$(cmake_build_type) GENAI_VERSION=$(genai_version) PACKAGE_NAME=${{parameters.package_name}} ARTIFACTS_DIR=$(Build.ArtifactStagingDirectory) diff --git a/.pipelines/stages/jobs/capi-packaging-job.yml b/.pipelines/stages/jobs/capi-packaging-job.yml index 1d936eccb..e837a070c 100644 --- a/.pipelines/stages/jobs/capi-packaging-job.yml +++ b/.pipelines/stages/jobs/capi-packaging-job.yml @@ -13,6 +13,8 @@ parameters: values: - 'linux' - 'win' + - 'osx' + - 'ios' - name: build_config type: string default: 'release' @@ -33,6 +35,10 @@ jobs: pool: 'onnxruntime-genai-windows-vs-2022-arm64' ${{ else }}: pool: 'onnxruntime-Win-CPU-2022' + ${{ if or(eq(parameters.os, 'osx'), eq(parameters.os, 'ios')) }}: + pool: + vmImage: 'macOS-latest' + timeoutInMinutes: 180 # set variables here to be used in the template and steps variables: @@ -56,36 +62,6 @@ jobs: value: ${{ parameters.os }} - name: feed_name value: '7982ae20-ed19-4a35-a362-a96ac99897b7' - - name: ort_filename - ${{ if eq(parameters.ep, 'cpu') }}: - value: 'Microsoft.ML.OnnxRuntime' - ${{ elseif eq(parameters.ep, 'cuda') }}: - ${{if eq(parameters.os, 'win') }}: - value: 'Microsoft.ML.OnnxRuntime.Gpu.Windows' - ${{ else }}: - value: 'Microsoft.ML.OnnxRuntime.Gpu.Linux' - ${{ elseif eq(parameters.ep, 'directml')}}: - value: 'Microsoft.ML.OnnxRuntime.DirectML' - ${{ elseif eq(parameters.ep, 'rocm')}}: - value: 'Microsoft.ML.OnnxRuntime.ROCm' - ${{ else }}: - value: 'Microsoft.ML.OnnxRuntime' - - - name: ortHome - value: 'ort' - - name: dml_dir - value: 'Microsoft.AI.DirectML.1.15.1' - - name: dml_zip - value: 'Microsoft.AI.DirectML.1.15.1.zip' - - name: dml_url - value: "https://www.nuget.org/api/v2/package/Microsoft.AI.DirectML/1.15.1" - - - name: d3d12_dir - value: 'Microsoft.Direct3D.D3D12.1.614.0' - - name: d3d12_zip - value: 'Microsoft.Direct3D.D3D12.1.614.0.zip' - - name: d3d12_url - value: "https://www.nuget.org/api/v2/package/Microsoft.Direct3D.D3D12/1.614.0" workspace: clean: all @@ -101,18 +77,11 @@ jobs: displayName: Copy python 3.11.0 version to agent tools directory condition: and(eq(variables['arch'], 'arm64'), eq(variables['os'], 'win')) - - ${{ if eq(parameters.arch, 'arm64') }}: - - task: UsePythonVersion@0 - inputs: - versionSpec: 3.11 - addToPath: true - architecture: $(arch) - - ${{ else }}: - - task: UsePythonVersion@0 - inputs: - versionSpec: 3.10 - addToPath: true - architecture: $(arch) + - task: UsePythonVersion@0 + inputs: + versionSpec: 3.11 + addToPath: true + architecture: $(arch) - ${{ if eq(parameters.os, 'linux') }}: - template: steps/capi-linux-step.yml @@ -130,4 +99,17 @@ jobs: ep: ${{ parameters.ep }} build_config: ${{ parameters.build_config }} + - ${{ if eq(parameters.os, 'osx') }}: + - template: steps/capi-macos-step.yml + parameters: + target: 'onnxruntime-genai' + arch: ${{ parameters.arch }} + ep: ${{ parameters.ep }} + build_config: ${{ parameters.build_config }} + + - ${{ if eq(parameters.os, 'ios') }}: + - template: steps/capi-appleframework-step.yml + parameters: + build_config: ${{ parameters.build_config }} + - template: steps/compliant-and-cleanup-step.yml diff --git a/.pipelines/stages/jobs/nuget-packaging-job.yml b/.pipelines/stages/jobs/nuget-packaging-job.yml index e01374b9e..1be6a9cd2 100644 --- a/.pipelines/stages/jobs/nuget-packaging-job.yml +++ b/.pipelines/stages/jobs/nuget-packaging-job.yml @@ -32,6 +32,21 @@ parameters: type: boolean default: false +- name: enable_macos_cpu + displayName: 'Whether MacOS CPU package is built.' + type: boolean + default: false + +- name: enable_android + displayName: 'Whether Android AAR package is built.' + type: boolean + default: false + +- name: enable_apple_framework + displayName: 'Whether Apple framework for iOS & MacCatalyst is built.' + type: boolean + default: false + - name: ort_version type: string @@ -80,6 +95,7 @@ jobs: value: 'Microsoft.ML.OnnxRuntime.Gpu' ${{ if eq(parameters.ep, 'directml') }}: value: 'Microsoft.ML.OnnxRuntime.DirectML' + steps: - ${{ if and(eq(parameters.enable_win_cpu, true), eq(parameters.ep, 'cpu')) }}: - template: steps/utils/flex-download-pipeline-artifact.yml @@ -130,6 +146,32 @@ jobs: ArtifactName: onnxruntime-genai-linux-cuda-x64-capi TargetPath: '$(Build.BinariesDirectory)/artifact-downloads' + - ${{ if eq(parameters.enable_macos_cpu, true) }}: + - template: steps/utils/flex-download-pipeline-artifact.yml + parameters: + StepName: 'Download osx-cpu-x64 capi Artifacts' + ArtifactName: onnxruntime-genai-osx-cpu-x64-capi + TargetPath: '$(Build.BinariesDirectory)/artifact-downloads' + - template: steps/utils/flex-download-pipeline-artifact.yml + parameters: + StepName: 'Download osx-cpu-arm64 capi Artifacts' + ArtifactName: onnxruntime-genai-osx-cpu-arm64-capi + TargetPath: '$(Build.BinariesDirectory)/artifact-downloads' + + - ${{ if eq(parameters.enable_apple_framework, true) }}: + - template: steps/utils/flex-download-pipeline-artifact.yml + parameters: + StepName: 'Download iOS XCFramework Artifacts' + ArtifactName: onnxruntime-genai-ios-xcframework + TargetPath: '$(Build.BinariesDirectory)/artifact-downloads' + + - ${{ if eq(parameters.enable_android, true) }}: + - template: steps/utils/flex-download-pipeline-artifact.yml + parameters: + StepName: 'Download Android AAR Artifacts' + ArtifactName: drop-android + TargetPath: '$(Build.BinariesDirectory)/artifact-downloads' + - checkout: self path: onnxruntime-genai clean: true @@ -139,7 +181,7 @@ jobs: - powershell: | dotnet --info - dotnet build Microsoft.ML.OnnxRuntimeGenAI.csproj -p:Configuration="$(buildConfig)" --verbosity normal + dotnet build Microsoft.ML.OnnxRuntimeGenAI.csproj -p:Configuration="$(buildConfig)" -p:IncludeMobileTargets=true --verbosity normal displayName: 'Build CSharp' workingDirectory: '$(Build.Repository.LocalPath)\src\csharp' @@ -158,10 +200,12 @@ jobs: - powershell: | $artifacts_dir = '$(Build.BinariesDirectory)/artifact-downloads' Write-Host "List downloaded artifacts" - $artifacts = Get-ChildItem -Path $artifacts_dir/* -Include *.zip,*.tar.gz + $artifacts = Get-ChildItem -Path $artifacts_dir/* -Include *.zip,*.tar.gz,*.aar Write-Host $artifacts $outputDir = '$(Build.Repository.LocalPath)/$(buildDir)' + Write-Host "List extracted artifacts" + Get-ChildItem -Path $nativeBuildOutputDir -Recurse mkdir -Force $outputDir foreach ($file in $artifacts) { @@ -172,28 +216,42 @@ jobs: $rid = $Matches.1 } else { - Write-Host "Invalid artifact name" $file - return + $rid_match = $a -match "onnxruntime-genai-(android|ios)-$(genai_version)(.+?)?(\.zip|\.aar)" + if ($rid_match) { + $rid = $Matches.1 + } + else { + Write-Host "Invalid artifact name" $file + return + } } - mkdir -Force $outputDir/$rid - if ($a -like "*.zip") { - Expand-Archive -Path $file -DestinationPath $outputDir/$rid + mkdir -Force $outputDir/$rid + mkdir -Force $outputDir/$rid/$(buildConfig) + if ($rid -like "ios") { + Move-Item $file $outputDir/$rid/$(buildConfig)/onnxruntime-genai.xcframework.zip } - elseif ($a -like "*.tar.gz") { - tar -xf $file -C $outputDir/$rid + elseif ($a -like "*.aar") { + Move-Item $file $outputDir/$rid/$(buildConfig)/onnxruntime-genai.aar + } + else { + if ($a -like "*.zip") { + Expand-Archive -Path $file -DestinationPath $outputDir/$rid + } + elseif ($a -like "*.tar.gz") { + tar -xf $file -C $outputDir/$rid + } } - mkdir -Force $outputDir/$rid/$(buildConfig) $b = $file.Basename $b = $b -split '.tar' $b = $b[0] - Move-Item $outputDir/$rid/$b/lib/* $outputDir/$rid/$(buildConfig) -Force + if (Test-Path $outputDir/$rid/$b/lib/) { + Move-Item $outputDir/$rid/$b/lib/* $outputDir/$rid/$(buildConfig) -Force + } + Get-ChildItem -Path $outputDir/$rid -Recurse } - Write-Host "List extracted artifacts" - Get-ChildItem -Path $nativeBuildOutputDir -Recurse - displayName: 'Extract Artifacts & Prepare Native Libraries' workingDirectory: '$(Build.BinariesDirectory)/artifact-downloads' diff --git a/.pipelines/stages/jobs/nuget-validation-job.yml b/.pipelines/stages/jobs/nuget-validation-job.yml index e382a3ca7..c5498e12e 100644 --- a/.pipelines/stages/jobs/nuget-validation-job.yml +++ b/.pipelines/stages/jobs/nuget-validation-job.yml @@ -21,6 +21,7 @@ parameters: values: - 'linux' - 'win' + - 'osx' jobs: - job: nuget_${{ parameters.os }}_${{ parameters.ep }}_${{ parameters.arch }}_validation @@ -43,6 +44,9 @@ jobs: pool: 'onnxruntime-genai-windows-vs-2022-arm64' ${{ else }}: pool: 'onnxruntime-Win-CPU-2022' + ${{ if eq(parameters.os, 'osx') }}: + pool: + vmImage: 'macOS-latest' timeoutInMinutes: 180 # set variables here to be used in the template and steps @@ -158,7 +162,7 @@ jobs: env: NUGET_PLUGIN_HANDSHAKE_TIMEOUT_IN_SECONDS: 180 NUGET_PLUGIN_REQUEST_TIMEOUT_IN_SECONDS: 180 - - ${{ elseif eq(parameters.os, 'linux') }}: + - ${{ elseif or(eq(parameters.os, 'linux'), eq(parameters.os, 'osx')) }}: - bash: | dotnet --info cp $(Build.BinariesDirectory)/nuget/* examples/csharp/HelloPhi/ @@ -166,6 +170,7 @@ jobs: mv models/$(prebuild_phi3_mini_model_folder) models/phi-3 dotnet restore -r $(os)-$(arch) /property:Configuration=$(csproj_configuration) --source https://api.nuget.org/v3/index.json --source https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT-Nightly/nuget/v3/index.json --source $PWD --disable-parallel --verbosity detailed dotnet build ./HelloPhi.csproj -r $(os)-$(arch) /property:Configuration=$(csproj_configuration) --no-restore --self-contained + ls -l ./bin/$(csproj_configuration)/net6.0/$(os)-$(arch)/ displayName: 'Perform dotnet restore & build' workingDirectory: '$(Build.Repository.LocalPath)' env: diff --git a/.pipelines/stages/jobs/py-packaging-job.yml b/.pipelines/stages/jobs/py-packaging-job.yml index 99582c9f1..79397ba2a 100644 --- a/.pipelines/stages/jobs/py-packaging-job.yml +++ b/.pipelines/stages/jobs/py-packaging-job.yml @@ -3,8 +3,6 @@ parameters: type: string - name: ep type: string -- name: ort_version - type: string - name: cuda_version type: string default: '' @@ -16,6 +14,7 @@ parameters: values: - 'linux' - 'win' + - 'osx' - name: build_config type: string default: 'release' @@ -37,9 +36,12 @@ jobs: pool: 'onnxruntime-genai-windows-vs-2022-arm64' ${{ else }}: pool: 'onnxruntime-Win-CPU-2022' + ${{ if eq(parameters.os, 'osx') }}: + pool: + vmImage: 'macOS-latest' strategy: - ${{ if eq(parameters.arch, 'arm64') }}: + ${{ if and(eq(parameters.os, 'win'), eq(parameters.arch, 'arm64')) }}: # Older Python versions don't have official win-arm64 build. matrix: Python311: PyDotVer: '3.11' @@ -49,12 +51,6 @@ jobs: PyNoDotVer: '312' ${{ else }}: matrix: - Python38: - PyDotVer: '3.8' - PyNoDotVer: '38' - Python39: - PyDotVer: '3.9' - PyNoDotVer: '39' Python310: PyDotVer: '3.10' PyNoDotVer: '310' @@ -64,7 +60,10 @@ jobs: Python312: PyDotVer: '3.12' PyNoDotVer: '312' - + Python313: + PyDotVer: '3.13' + PyNoDotVer: '313' + timeoutInMinutes: 240 workspace: clean: all @@ -73,6 +72,8 @@ jobs: - name: skipComponentGovernanceDetection ${{ if eq(parameters.os, 'linux') }}: value: true + ${{ if eq(parameters.os, 'osx') }}: + value: true ${{ if eq(parameters.os, 'win') }}: value: false - name: arch @@ -87,46 +88,15 @@ jobs: value: ${{ parameters.cuda_version }} - name: ep value: ${{ parameters.ep }} - - name: ort_version - value: ${{ parameters.ort_version }} - name: os value: ${{ parameters.os }} - name: feed_name value: '7982ae20-ed19-4a35-a362-a96ac99897b7' - - name: ort_filename - ${{ if eq(parameters.ep, 'cpu') }}: - value: 'Microsoft.ML.OnnxRuntime' - ${{ elseif eq(parameters.ep, 'cuda') }}: - ${{if eq(parameters.os, 'win') }}: - value: 'Microsoft.ML.OnnxRuntime.Gpu.Windows' - ${{ else }}: - value: 'Microsoft.ML.OnnxRuntime.Gpu.Linux' - ${{ elseif eq(parameters.ep, 'directml')}}: - value: 'Microsoft.ML.OnnxRuntime.DirectML' - ${{ elseif eq(parameters.ep, 'rocm')}}: - value: 'Microsoft.ML.OnnxRuntime.ROCm' - ${{ else }}: - value: 'Microsoft.ML.OnnxRuntime' - - - name: dml_dir - value: 'Microsoft.AI.DirectML.1.15.1' - - name: dml_zip - value: 'Microsoft.AI.DirectML.1.15.1.zip' - - name: dml_url - value: "https://www.nuget.org/api/v2/package/Microsoft.AI.DirectML/1.15.1" - - - name: d3d12_dir - value: 'Microsoft.Direct3D.D3D12.1.614.0' - - name: d3d12_zip - value: 'Microsoft.Direct3D.D3D12.1.614.0.zip' - - name: d3d12_url - value: "https://www.nuget.org/api/v2/package/Microsoft.Direct3D.D3D12/1.614.0" - steps: - script: | - MKDIR $(Agent.ToolsDirectory)\Python\3.12.3\arm64 + MKDIR $(Agent.ToolsDirectory)\Python\3.12.3\arm64 XCOPY /s /y /h /e /c /q "C:\Python\Python312\*.*" $(Agent.ToolsDirectory)\Python\3.12.3\arm64\ COPY NUL $(Agent.ToolsDirectory)\Python\3.12.3\arm64.complete DIR $(Agent.ToolsDirectory)\Python @@ -179,5 +149,13 @@ jobs: ep: ${{ parameters.ep }} build_config: ${{ parameters.build_config }} + - ${{ if eq(parameters.os, 'osx') }}: + - template: steps/capi-macos-step.yml + parameters: + target: 'python' + arch: ${{ parameters.arch }} + ep: ${{ parameters.ep }} + build_config: ${{ parameters.build_config }} + - template: steps/compliant-and-cleanup-step.yml diff --git a/.pipelines/stages/jobs/py-validation-job.yml b/.pipelines/stages/jobs/py-validation-job.yml index 6e3bd6625..2afb279a7 100644 --- a/.pipelines/stages/jobs/py-validation-job.yml +++ b/.pipelines/stages/jobs/py-validation-job.yml @@ -11,8 +11,6 @@ parameters: type: string - name: ep type: string -- name: ort_version - type: string - name: cuda_version type: string default: '' @@ -24,6 +22,7 @@ parameters: values: - 'linux' - 'win' + - 'osx' jobs: - job: python_${{ parameters.os }}_${{ parameters.ep }}${{ parameters.cuda_display_version }}_${{ parameters.arch }}_validation @@ -46,6 +45,9 @@ jobs: pool: 'onnxruntime-genai-windows-vs-2022-arm64' ${{ else }}: pool: 'onnxruntime-Win-CPU-2022' + ${{ if eq(parameters.os, 'osx') }}: + pool: + vmImage: 'macOS-latest' timeoutInMinutes: 240 workspace: @@ -69,23 +71,11 @@ jobs: value: ${{ parameters.cuda_version }} - name: ep value: ${{ parameters.ep }} - - name: ort_version - value: ${{ parameters.ort_version }} - name: os value: ${{ parameters.os }} - name: py_dot_ver - ${{ if eq(parameters.ep, 'cpu') }}: - ${{ if eq(parameters.arch, 'arm64') }}: - value: '3.12' - ${{ else }}: - value: '3.9' - ${{ elseif eq(parameters.ep, 'cuda') }}: - value: '3.10' - ${{ elseif eq(parameters.ep, 'directml')}}: - value: '3.11' - ${{ else }}: - value: '3.9' + value: '3.12' - name: pip_package_name ${{ if eq(parameters.ep, 'cpu') }}: @@ -147,22 +137,13 @@ jobs: addToPath: true architecture: $(arch) - - ${{ if eq(parameters.os, 'linux') }}: - - template: steps/utils/flex-download-pipeline-artifact.yml - parameters: - StepName: 'Download Python Wheel Artifacts' - ArtifactName: $(ArtifactName) - TargetPath: '$(Build.BinariesDirectory)/wheel' - SpecificArtifact: ${{ parameters.specificArtifact }} - BuildId: ${{ parameters.BuildId }} - - ${{ if eq(parameters.os, 'win') }}: - - template: steps/utils/flex-download-pipeline-artifact.yml - parameters: - StepName: 'Download Python Wheel Artifacts' - ArtifactName: $(ArtifactName)-wheel - TargetPath: '$(Build.BinariesDirectory)/wheel' - SpecificArtifact: ${{ parameters.specificArtifact }} - BuildId: ${{ parameters.BuildId }} + - template: steps/utils/flex-download-pipeline-artifact.yml + parameters: + StepName: 'Download Python Wheel Artifacts' + ArtifactName: $(ArtifactName)-wheel + TargetPath: '$(Build.BinariesDirectory)/wheel' + SpecificArtifact: ${{ parameters.specificArtifact }} + BuildId: ${{ parameters.BuildId }} - template: steps/utils/download-huggingface-model.yml parameters: @@ -174,7 +155,7 @@ jobs: HuggingFaceToken: $(HF_TOKEN) os: ${{ parameters.os }} - - ${{ if eq(parameters.os, 'linux') }}: + - ${{ if or(eq(parameters.os, 'linux'), eq(parameters.os, 'osx')) }}: - ${{ if eq(parameters.ep, 'cuda') }}: - bash: | set -e -x @@ -193,7 +174,8 @@ jobs: bash -c " \ export ORTGENAI_LOG_ORT_LIB=1 && \ $python_exe -m pip install -r /ort_genai_src/test/python/requirements.txt && \ - $python_exe -m pip install -r /ort_genai_src/test/python/requirements-cuda.txt && \ + $python_exe -m pip install -r /ort_genai_src/test/python/cuda/torch/requirements.txt && \ + $python_exe -m pip install -r /ort_genai_src/test/python/cuda/ort/requirements.txt && \ cd /ort_genai_src/examples/python && \ $python_exe -m pip install --no-index --find-links=/ort_genai_binary/wheel $(pip_package_name) && \ $python_exe model-generate.py -m ./models/$(prebuild_phi3_mini_model_folder) --min_length 25 --max_length 50 --verbose" @@ -204,7 +186,14 @@ jobs: - bash: | export ORTGENAI_LOG_ORT_LIB=1 python -m pip install -r test/python/requirements.txt - python -m pip install -r test/python/requirements-cpu.txt + if [[ "$(os)" == "linux" ]]; then + python -m pip install -r test/python/cpu/torch/requirements.txt + python -m pip install -r test/python/cpu/ort/requirements.txt + fi + if [[ "$(os)" == "osx" ]]; then + python -m pip install -r test/python/macos/torch/requirements.txt + python -m pip install -r test/python/macos/ort/requirements.txt + fi cd examples/python python -m pip install --no-index --find-links=$(Build.BinariesDirectory)/wheel $(pip_package_name) python model-generate.py -m ./models/$(prebuild_phi3_mini_model_folder) --min_length 25 --max_length 50 --verbose @@ -224,13 +213,16 @@ jobs: $env:CUDA_PATH = '$(Build.Repository.LocalPath)\cuda_sdk\v$(cuda_version)' $env:PATH = "$env:CUDA_PATH\bin;$env:CUDA_PATH\extras\CUPTI\lib64;$env:PATH" Write-Host $env:PATH - python -m pip install -r test/python/requirements-cuda.txt + python -m pip install -r test/python/cuda/torch/requirements.txt + python -m pip install -r test/python/cuda/ort/requirements.txt } elseif ("$(ep)" -eq "directml") { - python -m pip install -r test/python/requirements-directml.txt + python -m pip install -r test/python/directml/torch/requirements.txt + python -m pip install -r test/python/directml/ort/requirements.txt } else { - python -m pip install -r test/python/requirements-cpu.txt + python -m pip install -r test/python/cpu/torch/requirements.txt + python -m pip install -r test/python/cpu/ort/requirements.txt } cd examples\python python -m pip install --no-index --find-links=$(Build.BinariesDirectory)/wheel $(pip_package_name) diff --git a/.pipelines/stages/jobs/steps/capi-appleframework-step.yml b/.pipelines/stages/jobs/steps/capi-appleframework-step.yml new file mode 100644 index 000000000..1970812ed --- /dev/null +++ b/.pipelines/stages/jobs/steps/capi-appleframework-step.yml @@ -0,0 +1,39 @@ +parameters: +- name: build_config + type: string + default: 'release' + +steps: + +- checkout: self + clean: true + path: onnxruntime-genai + submodules: recursive + +- template: utils/set-genai-version.yml + +- template: utils/set-nightly-build-option-variable.yml + +- script: | + set -e + python3 -m pip install requests + python3 tools/ci_build/github/apple/build_apple_framework.py \ + --build_dir "$(Build.BinariesDirectory)/apple_framework" \ + tools/ci_build/github/apple/default_full_ios_framework_build_settings.json + + mkdir $(Build.BinariesDirectory)/artifacts + mkdir -p $(Build.BinariesDirectory)/artifacts_staging/onnxruntime-genai.xcframework + cp -R $(Build.BinariesDirectory)/apple_framework/framework_out/onnxruntime-genai.xcframework \ + $(Build.BinariesDirectory)/artifacts_staging/ + pushd $(Build.BinariesDirectory)/artifacts_staging + zip -vr $(Build.BinariesDirectory)/artifacts/onnxruntime-genai-ios-$(genai_version).zip \ + onnxruntime-genai.xcframework + popd + displayName: 'Build Apple XCFramework' + workingDirectory: '$(Build.Repository.LocalPath)' + +- task: PublishBuildArtifacts@1 + displayName: 'Publish Artifact: ONNXRuntime GenAI XCFramework' + inputs: + ArtifactName: onnxruntime-genai-ios-xcframework + PathtoPublish: '$(Build.BinariesDirectory)/artifacts' diff --git a/.pipelines/stages/jobs/steps/capi-linux-step.yml b/.pipelines/stages/jobs/steps/capi-linux-step.yml index c3074f607..5de3eca48 100644 --- a/.pipelines/stages/jobs/steps/capi-linux-step.yml +++ b/.pipelines/stages/jobs/steps/capi-linux-step.yml @@ -34,7 +34,6 @@ steps: - bash: | echo "arch=$(arch)" - echo "ort_filename=$(ort_filename)" echo "ort_version=$(ort_version)" echo "ep=$(ep)" echo "cuda_version=$(cuda_version)" @@ -42,14 +41,11 @@ steps: echo "build_config=${{ parameters.build_config }}" displayName: 'Print Parameters' -- template: utils/download-ort.yml - parameters: - archiveType: 'tgz' - - bash: | set -e -x az login --identity --username 63b63039-6328-442f-954b-5a64d124e5b4 az acr login --name onnxruntimebuildcache --subscription 00c06639-6ee4-454e-8058-8d8b1703bd87 + python3 -m pip install requests python3 tools/ci_build/get_docker_image.py --dockerfile tools/ci_build/github/linux/docker/manylinux/Dockerfile.manylinux2_28_$(ep)_$(cuda_version) \ --context tools/ci_build/github/linux/docker/manylinux \ --docker-build-args "--build-arg BUILD_UID=$( id -u )" \ @@ -65,6 +61,7 @@ steps: set -e -x az login --identity --username 63b63039-6328-442f-954b-5a64d124e5b4 az acr login --name onnxruntimebuildcache --subscription 00c06639-6ee4-454e-8058-8d8b1703bd87 + python3 -m pip install requests python3 tools/ci_build/get_docker_image.py --dockerfile tools/ci_build/github/linux/docker/manylinux/Dockerfile.manylinux2_28_$(ep) \ --context tools/ci_build/github/linux/docker/manylinux \ --docker-build-args "--build-arg BUILD_UID=$( id -u )" \ @@ -169,7 +166,7 @@ steps: - task: PublishBuildArtifacts@1 displayName: 'Publish Artifact: ONNXRuntime python wheel' inputs: - ArtifactName: $(artifactName) + ArtifactName: $(artifactName)-wheel PathtoPublish: '$(Build.ArtifactStagingDirectory)/wheel' - script: | diff --git a/.pipelines/stages/jobs/steps/capi-macos-step.yml b/.pipelines/stages/jobs/steps/capi-macos-step.yml new file mode 100644 index 000000000..e90b3bcaf --- /dev/null +++ b/.pipelines/stages/jobs/steps/capi-macos-step.yml @@ -0,0 +1,94 @@ +parameters: +- name: target + type: string +- name: ep + type: string + default: 'cpu' +- name: arch + type: string + default: 'x64' +- name: build_config + type: string + default: 'release' + +steps: + +- checkout: self + clean: true + path: onnxruntime-genai + submodules: recursive + +- template: utils/set-nightly-build-option-variable.yml + +- bash: | + echo "arch=$(arch)" + echo "ort_version=$(ort_version)" + echo "ep=$(ep)" + echo "cuda_version=$(cuda_version)" + echo "target=${{ parameters.target }}" + echo "build_config=${{ parameters.build_config }}" + displayName: 'Print Parameters' + +- powershell: | + $env:MACOSX_DEPLOYMENT_TARGET = "12.0" # Monterey + cmake --preset macos_$(arch)_$(ep)_$(build_config) + displayName: 'Configure CMake C API' + workingDirectory: '$(Build.Repository.LocalPath)' + +- powershell: | + cmake --build --preset macos_$(arch)_$(ep)_$(build_config) --parallel --target ${{ parameters.target }} + displayName: 'Build C API' + workingDirectory: '$(Build.Repository.LocalPath)' + +- ${{ if eq(parameters.target, 'onnxruntime-genai') }}: + - powershell: | + python -m pip install wheel + displayName: 'Install wheel' + + - powershell: | + cmake --build --preset macos_$(arch)_$(ep)_$(build_config) --target package + displayName: 'Package C/C++ API' + workingDirectory: '$(Build.Repository.LocalPath)' + + - task: PublishBuildArtifacts@1 + displayName: 'Publish Artifact: ONNXRuntime Genai capi' + inputs: + ArtifactName: $(artifactName)-capi + PathtoPublish: '$(Build.Repository.LocalPath)/build/$(ep)/$(os)-$(arch)/package' + +- ${{ if eq(parameters.target, 'python') }}: + - powershell: | + python -m pip install wheel + displayName: 'Install wheel' + + - powershell: | + # From: https://github.com/pypa/cibuildwheel/blob/93542c397cfe940bcbb8f1eff5c37d345ea16653/cibuildwheel/macos.py#L247-L260 + if ("$(arch)" -eq "arm64") { + $env:_PYTHON_HOST_PLATFORM = "macosx-12.0-arm64" + $env:ARCHFLAGS = "-arch arm64" + } + else { + $env:_PYTHON_HOST_PLATFORM = "macosx-12.0-x86_64" + $env:ARCHFLAGS = "-arch x86_64" + } + cmake --build --preset macos_$(arch)_$(ep)_$(build_config) --parallel --PyPackageBuild + displayName: 'Build Python Wheel' + workingDirectory: '$(Build.Repository.LocalPath)' + + - powershell: | + Get-ChildItem -Path $(Build.Repository.LocalPath) -Recurse + displayName: 'List all files in the repo for debugging' + workingDirectory: '$(Build.Repository.LocalPath)' + + - task: CopyFiles@2 + displayName: 'Copy Python Wheel to: $(Build.ArtifactStagingDirectory)' + inputs: + SourceFolder: '$(Build.Repository.LocalPath)/build/$(ep)/$(os)-$(arch)/wheel' + Contents: '*.whl' + TargetFolder: '$(Build.ArtifactStagingDirectory)/wheel' + + - task: PublishBuildArtifacts@1 + displayName: 'Publish Artifact: ONNXRuntime python wheel' + inputs: + ArtifactName: $(artifactName)-wheel + PathtoPublish: '$(Build.ArtifactStagingDirectory)/wheel' diff --git a/.pipelines/stages/jobs/steps/capi-win-step.yml b/.pipelines/stages/jobs/steps/capi-win-step.yml index ed52f8172..168fa47c7 100644 --- a/.pipelines/stages/jobs/steps/capi-win-step.yml +++ b/.pipelines/stages/jobs/steps/capi-win-step.yml @@ -33,7 +33,6 @@ steps: - script: | echo "arch=$(arch)" - echo "ort_filename=$(ort_filename)" echo "ort_version=$(ort_version)" echo "ep=$(ep)" echo "cuda_version=$(cuda_version)" @@ -41,30 +40,6 @@ steps: echo "build_config=${{ parameters.build_config }}" displayName: 'Print Parameters' - -- template: utils/download-ort.yml - parameters: - archiveType: 'zip' - ep: ${{ parameters.ep }} - -- ${{ if eq(parameters.ep, 'directml') }}: - - powershell: | - Invoke-WebRequest -Uri $(dml_url) -OutFile $(dml_zip) - Expand-Archive $(dml_zip) -DestinationPath $(dml_dir) - Remove-Item -Path $(dml_zip) - Get-ChildItem -Recurse $(dml_dir) - mv $(dml_dir)\bin\$(arch)-win\DirectML.dll ort\lib - mv $(dml_dir)\include\DirectML.h ort\include - - Invoke-WebRequest -Uri $(d3d12_url) -OutFile $(d3d12_zip) - Expand-Archive $(d3d12_zip) -DestinationPath $(d3d12_dir) - Remove-Item -Path $(d3d12_zip) - Get-ChildItem -Recurse $(d3d12_dir) - mv $(d3d12_dir)\build\native\bin\$(arch)\D3D12Core.dll ort\lib - workingDirectory: '$(Build.Repository.LocalPath)' - displayName: 'Download DirectML & Direct3D DLLs' - continueOnError: true - - powershell: | azcopy.exe cp --recursive "https://lotusscus.blob.core.windows.net/models/cuda_sdk/v$(cuda_version)" 'cuda_sdk' displayName: 'Download CUDA $(cuda_version)' diff --git a/.pipelines/stages/jobs/steps/compliant-and-cleanup-step.yml b/.pipelines/stages/jobs/steps/compliant-and-cleanup-step.yml index aa2f7b547..eece9244d 100644 --- a/.pipelines/stages/jobs/steps/compliant-and-cleanup-step.yml +++ b/.pipelines/stages/jobs/steps/compliant-and-cleanup-step.yml @@ -4,13 +4,13 @@ steps: inputs: debugMode: false continueOnError: true + condition: and(ne(variables['os'], 'osx'), ne(variables['os'], 'ios')) # Not available on macOS. See https://eng.ms/docs/products/credential-risk-exposure-defense/solutions/credscan_client/overview - task: TSAUpload@2 displayName: 'TSA upload' - condition: and(succeeded(), eq(variables['Build.SourceBranch'], 'refs/heads/main')) + condition: and(succeeded(), eq(variables['Build.SourceBranch'], 'refs/heads/main'), ne(variables['os'], 'osx'), ne(variables['os'], 'ios')) # Not available on macOS. inputs: GdnPublishTsaOnboard: false - GdnPublishTsaConfigFile: '$(Build.Repository.LocalPath)\.config\tsaoptions.json' continueOnError: true - template: compliant/component-governance-component-detection-step.yml diff --git a/.pipelines/stages/jobs/steps/utils/capi-archive.yml b/.pipelines/stages/jobs/steps/utils/capi-archive.yml index a2eb2ff31..edb59ee79 100644 --- a/.pipelines/stages/jobs/steps/utils/capi-archive.yml +++ b/.pipelines/stages/jobs/steps/utils/capi-archive.yml @@ -8,15 +8,9 @@ steps: displayName: 'Check if variables artifactName and buildDir are set' condition: or( eq (variables['artifactName'], ''), eq (variables['buildDir'], '')) -- task: CopyFiles@2 - displayName: 'Copy Onnxruntime C API library files to ArtifactStagingDirectory' - inputs: - SourceFolder: '$(Build.Repository.LocalPath)/ort/lib' - TargetFolder: '$(Build.ArtifactStagingDirectory)\$(artifactName)\lib' - - ${{ if eq(parameters.archiveType, 'tar') }}: - task: CopyFiles@2 - displayName: 'Copy Onnxruntime C API dll files to ArtifactStagingDirectory' + displayName: 'Copy Onnxruntime GenAI C API dll files to ArtifactStagingDirectory' inputs: SourceFolder: '$(Build.Repository.LocalPath)/$(buildDir)' Contents: | @@ -24,7 +18,7 @@ steps: TargetFolder: '$(Build.ArtifactStagingDirectory)\$(artifactName)\lib' - ${{ else }}: - task: CopyFiles@2 - displayName: 'Copy Onnxruntime C API dll files to ArtifactStagingDirectory' + displayName: 'Copy Onnxruntime GenAI C API dll files to ArtifactStagingDirectory' inputs: SourceFolder: '$(Build.Repository.LocalPath)\$(buildDir)\$(buildConfig)' Contents: | diff --git a/.pipelines/stages/jobs/steps/utils/download-huggingface-model.yml b/.pipelines/stages/jobs/steps/utils/download-huggingface-model.yml index 30014e6ff..0dc5a8fc1 100644 --- a/.pipelines/stages/jobs/steps/utils/download-huggingface-model.yml +++ b/.pipelines/stages/jobs/steps/utils/download-huggingface-model.yml @@ -15,7 +15,7 @@ parameters: type: string steps: - - ${{ if eq(parameters.os, 'linux') }}: + - ${{ if or(eq(parameters.os, 'linux'), eq(parameters.os, 'osx')) }}: - bash: | python -m pip install "huggingface_hub[cli]" huggingface-cli login --token $HF_TOKEN diff --git a/.pipelines/stages/jobs/steps/utils/download-ort.yml b/.pipelines/stages/jobs/steps/utils/download-ort.yml deleted file mode 100644 index 47717112c..000000000 --- a/.pipelines/stages/jobs/steps/utils/download-ort.yml +++ /dev/null @@ -1,76 +0,0 @@ -parameters: -- name: archiveType - type: string -- name: ep - type: string - default: cpu -steps: - -- task: DownloadPackage@1 - inputs: - packageType: 'nuget' - feed: '2692857e-05ef-43b4-ba9c-ccf1c22c437c/$(feed_name)' # projectID/feedID - definition: '$(ort_filename)' # Can also be package name - version: '$(ort_version)' - extract: false - downloadPath: '$(Build.Repository.LocalPath)' - displayName: Download Onnxruntime file -- ${{ if eq(parameters.archiveType, 'zip') }}: - - task: ExtractFiles@1 - inputs: - archiveFilePatterns: '$(Build.Repository.LocalPath)/*.nupkg' - destinationFolder: '$(Build.Repository.LocalPath)/ort' - cleanDestinationFolder: false - overwriteExistingFiles: true - displayName: Unzip OnnxRuntime - - task: CopyFiles@2 - inputs: - SourceFolder: '$(Build.Repository.LocalPath)/ort/runtimes/$(os)-$(arch)/native' - TargetFolder: '$(Build.Repository.LocalPath)/ort/lib' -- ${{ else }}: - - script: | - mv $(Build.Repository.LocalPath)/$(ort_filename).nupkg $(Build.Repository.LocalPath)/$(ort_filename).zip - displayName: Rename OnnxRuntime nuget package to zip - - task: ExtractFiles@1 - inputs: - archiveFilePatterns: '$(Build.Repository.LocalPath)/$(ort_filename).zip' - destinationFolder: '$(Build.Repository.LocalPath)/ort' - cleanDestinationFolder: false - overwriteExistingFiles: true - displayName: Unzip OnnxRuntime - - task: CopyFiles@2 - inputs: - SourceFolder: '$(Build.Repository.LocalPath)/ort/runtimes/$(os)-$(arch)/native' - TargetFolder: '$(Build.Repository.LocalPath)/ort/lib' - # TODO: Find out why do we need to to have libonnxruntime.so.ort_stable_version - - script: | - set -e -x - ort_stable_version=$(echo $(ort_version) | cut -d- -f1) - echo $ort_stable_version - mv libonnxruntime.so libonnxruntime.so.$ort_stable_version - ln -s libonnxruntime.so.$ort_stable_version libonnxruntime.so - displayName: Copy libonnxruntime.so to libonnxruntime.so. - workingDirectory: '$(Build.Repository.LocalPath)/ort/lib' - -- task: CopyFiles@2 - inputs: - SourceFolder: '$(Build.Repository.LocalPath)/ort/' - Contents: '**/native/include/**' - TargetFolder: '$(Build.Repository.LocalPath)/ort/include' - flattenFolders: true - -- task: DeleteFiles@1 - inputs: - SourceFolder: '$(Build.Repository.LocalPath)/ort/lib' - Contents: '*tensorrt*' - RemoveSourceFolder: false - displayName: 'Remove tensorrt from lib' - continueOnError: true - -- task: DeleteFiles@1 - inputs: - SourceFolder: '$(Build.Repository.LocalPath)/ort/lib' - Contents: '*.pdb' - RemoveSourceFolder: false - displayName: 'Remove .pdb files from lib' - continueOnError: true diff --git a/.pipelines/stages/jobs/steps/utils/set-cmake-build-type.yml b/.pipelines/stages/jobs/steps/utils/set-cmake-build-type.yml new file mode 100644 index 000000000..077fd2337 --- /dev/null +++ b/.pipelines/stages/jobs/steps/utils/set-cmake-build-type.yml @@ -0,0 +1,23 @@ +parameters: +- name: build_config + type: string +steps: +- task: PowerShell@2 + displayName: 'Set CMake Build Type' + inputs: + workingDirectory: $(Build.SourcesDirectory) + targetType: inline + script: | + $chosen_build_config = "${{ parameters.build_config }}" + $cmake_build_type = $chosen_build_config; + if ($chosen_build_config -eq "release") { + $cmake_build_type = "Release" + } + elseif ($chosen_build_config -eq "relwithdebinfo") { + $cmake_build_type = "RelWithDebInfo" + } + elseif ($chosen_build_config -eq "debug") { + $cmake_build_type = "Debug" + } + Write-Host "Current build type: $cmake_build_type" + Write-Host "##vso[task.setvariable variable=cmake_build_type]$cmake_build_type" \ No newline at end of file diff --git a/.pipelines/stages/nuget-packaging-stage.yml b/.pipelines/stages/nuget-packaging-stage.yml index 4137b29bd..9d869f382 100644 --- a/.pipelines/stages/nuget-packaging-stage.yml +++ b/.pipelines/stages/nuget-packaging-stage.yml @@ -29,6 +29,21 @@ parameters: type: boolean default: true +- name: enable_macos_cpu + displayName: 'Whether MacOS CPU package is built.' + type: boolean + default: true + +- name: enable_android + displayName: 'Whether Android AAR package is built.' + type: boolean + default: true + +- name: enable_apple_framework + displayName: 'Whether Apple framework for iOS & MacCatalyst is built.' + type: boolean + default: true + - name: ort_version type: string - name: ort_cuda_version @@ -42,7 +57,7 @@ parameters: stages: - stage: nuget_packaging jobs: - - ${{ if or(eq(parameters.enable_linux_cpu, true), eq(parameters.enable_win_cpu, true)) }}: + - ${{ if or(eq(parameters.enable_linux_cpu, true), eq(parameters.enable_win_cpu, true), eq(parameters.enable_macos_cpu, true)) }}: - template: jobs/nuget-packaging-job.yml parameters: ep: 'cpu' @@ -51,6 +66,9 @@ stages: enable_linux_cpu: ${{ parameters.enable_linux_cpu }} enable_win_cpu: ${{ parameters.enable_win_cpu }} enable_win_arm64: ${{ parameters.enable_win_arm64 }} + enable_macos_cpu: ${{ parameters.enable_macos_cpu }} + enable_android: ${{ parameters.enable_android }} + enable_apple_framework: ${{ parameters.enable_apple_framework }} - ${{ if or(eq(parameters.enable_linux_cuda, true), eq(parameters.enable_win_cuda, true)) }}: - template: jobs/nuget-packaging-job.yml parameters: @@ -62,7 +80,7 @@ stages: - ${{ if eq(parameters.enable_win_dml, true) }}: - template: jobs/nuget-packaging-job.yml parameters: - ep: 'directml' + ep: 'directml' ort_version: ${{ parameters.ort_dml_version }} build_config: ${{ parameters.build_config }} enable_win_dml: ${{ parameters.enable_win_dml }} diff --git a/.pipelines/stages/nuget-validation-stage.yml b/.pipelines/stages/nuget-validation-stage.yml index 380fda54b..d8c8b3ca4 100644 --- a/.pipelines/stages/nuget-validation-stage.yml +++ b/.pipelines/stages/nuget-validation-stage.yml @@ -19,6 +19,8 @@ parameters: type: boolean - name: enable_linux_cuda type: boolean +- name: enable_macos_cpu + type: boolean - name: ort_version type: string - name: ort_cuda_version @@ -104,3 +106,13 @@ stages: os: 'linux' SpecificArtifact: ${{ parameters.SpecificArtifact }} BuildId: ${{ parameters.BuildId }} + + - ${{ if eq(parameters.enable_macos_cpu, true) }}: + - template: jobs/nuget-validation-job.yml + parameters: + arch: 'x64' + ep: 'cpu' + ort_version: ${{ parameters.ort_version }} + os: 'osx' + SpecificArtifact: ${{ parameters.SpecificArtifact }} + BuildId: ${{ parameters.BuildId }} \ No newline at end of file diff --git a/.pipelines/stages/py-packaging-stage.yml b/.pipelines/stages/py-packaging-stage.yml index d43868ed0..74dfc347a 100644 --- a/.pipelines/stages/py-packaging-stage.yml +++ b/.pipelines/stages/py-packaging-stage.yml @@ -13,16 +13,8 @@ parameters: type: boolean - name: enable_linux_rocm type: boolean -- name: ort_version - type: string -- name: ort_cuda_118_version - type: string -- name: ort_cuda_122_version - type: string -- name: ort_rocm_version - type: string -- name: ort_dml_version - type: string +- name: enable_macos_cpu + type: boolean - name: cuda_versions type: string default: '11.8,12.2' @@ -39,7 +31,6 @@ stages: parameters: arch: 'x64' ep: 'cpu' - ort_version: ${{ parameters.ort_version }} os: 'win' build_config: ${{ parameters.build_config }} @@ -48,7 +39,6 @@ stages: parameters: arch: 'arm64' ep: 'cpu' - ort_version: ${{ parameters.ort_version }} os: 'win' build_config: ${{ parameters.build_config }} @@ -57,7 +47,6 @@ stages: parameters: arch: 'x64' ep: 'directml' - ort_version: ${{ parameters.ort_dml_version }} os: 'win' build_config: ${{ parameters.build_config }} @@ -68,7 +57,6 @@ stages: cuda_version: '11.8' cuda_display_version: '118' ep: 'cuda' - ort_version: ${{ parameters.ort_cuda_118_version }} os: 'win' build_config: ${{ parameters.build_config }} @@ -79,7 +67,6 @@ stages: cuda_version: '12.2' cuda_display_version: '122' ep: 'cuda' - ort_version: ${{ parameters.ort_cuda_122_version }} os: 'win' build_config: ${{ parameters.build_config }} @@ -88,7 +75,6 @@ stages: parameters: arch: 'x64' ep: 'cpu' - ort_version: ${{ parameters.ort_version }} os: 'linux' build_config: ${{ parameters.build_config }} @@ -99,7 +85,6 @@ stages: cuda_version: '11.8' cuda_display_version: '118' ep: 'cuda' - ort_version: ${{ parameters.ort_cuda_118_version }} os: 'linux' - ${{ if and(eq(parameters.enable_linux_cuda, true), contains(parameters.cuda_versions, '12.2')) }}: @@ -109,7 +94,6 @@ stages: cuda_version: '12.2' cuda_display_version: '122' ep: 'cuda' - ort_version: ${{ parameters.ort_cuda_122_version }} os: 'linux' build_config: ${{ parameters.build_config }} @@ -118,8 +102,18 @@ stages: parameters: arch: 'x64' ep: 'rocm' - ort_version: ${{ parameters.ort_rocm_version }} os: 'linux' build_config: ${{ parameters.build_config }} - - + - ${{ if eq(parameters.enable_macos_cpu, true) }}: + - template: jobs/py-packaging-job.yml + parameters: + arch: 'x64' + ep: 'cpu' + os: 'osx' + build_config: ${{ parameters.build_config }} + - template: jobs/py-packaging-job.yml + parameters: + arch: 'arm64' + ep: 'cpu' + os: 'osx' + build_config: ${{ parameters.build_config }} diff --git a/.pipelines/stages/py-validation-stage.yml b/.pipelines/stages/py-validation-stage.yml index d619c3acb..11696ec24 100644 --- a/.pipelines/stages/py-validation-stage.yml +++ b/.pipelines/stages/py-validation-stage.yml @@ -19,16 +19,8 @@ parameters: type: boolean - name: enable_linux_cuda type: boolean -- name: ort_version - type: string -- name: ort_cuda_118_version - type: string -- name: ort_cuda_122_version - type: string -- name: ort_rocm_version - type: string -- name: ort_dml_version - type: string +- name: enable_macos_cpu + type: boolean - name: cuda_versions type: string default: '11.8,12.2' @@ -42,7 +34,6 @@ stages: parameters: arch: 'x64' ep: 'cpu' - ort_version: ${{ parameters.ort_version }} os: 'win' SpecificArtifact: ${{ parameters.SpecificArtifact }} BuildId: ${{ parameters.BuildId }} @@ -52,7 +43,6 @@ stages: parameters: arch: 'arm64' ep: 'cpu' - ort_version: ${{ parameters.ort_version }} os: 'win' SpecificArtifact: ${{ parameters.SpecificArtifact }} BuildId: ${{ parameters.BuildId }} @@ -62,7 +52,6 @@ stages: parameters: arch: 'x64' ep: 'directml' - ort_version: ${{ parameters.ort_dml_version }} os: 'win' SpecificArtifact: ${{ parameters.SpecificArtifact }} BuildId: ${{ parameters.BuildId }} @@ -74,7 +63,6 @@ stages: cuda_version: '11.8' cuda_display_version: '118' ep: 'cuda' - ort_version: ${{ parameters.ort_cuda_118_version }} os: 'win' SpecificArtifact: ${{ parameters.SpecificArtifact }} BuildId: ${{ parameters.BuildId }} @@ -86,7 +74,6 @@ stages: cuda_version: '12.2' cuda_display_version: '122' ep: 'cuda' - ort_version: ${{ parameters.ort_cuda_122_version }} os: 'win' SpecificArtifact: ${{ parameters.SpecificArtifact }} BuildId: ${{ parameters.BuildId }} @@ -96,7 +83,6 @@ stages: parameters: arch: 'x64' ep: 'cpu' - ort_version: ${{ parameters.ort_version }} os: 'linux' SpecificArtifact: ${{ parameters.SpecificArtifact }} BuildId: ${{ parameters.BuildId }} @@ -108,7 +94,6 @@ stages: cuda_version: '11.8' cuda_display_version: '118' ep: 'cuda' - ort_version: ${{ parameters.ort_cuda_118_version }} os: 'linux' SpecificArtifact: ${{ parameters.SpecificArtifact }} BuildId: ${{ parameters.BuildId }} @@ -119,7 +104,15 @@ stages: cuda_version: '12.2' cuda_display_version: '122' ep: 'cuda' - ort_version: ${{ parameters.ort_cuda_122_version }} os: 'linux' SpecificArtifact: ${{ parameters.SpecificArtifact }} BuildId: ${{ parameters.BuildId }} + + - ${{ if eq(parameters.enable_macos_cpu, true) }}: + - template: jobs/py-validation-job.yml + parameters: + arch: 'x64' + ep: 'cpu' + os: 'osx' + SpecificArtifact: ${{ parameters.SpecificArtifact }} + BuildId: ${{ parameters.BuildId }} \ No newline at end of file diff --git a/CMakeLists.txt b/CMakeLists.txt index 06d196d7b..60076364d 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -1,7 +1,12 @@ # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. -cmake_minimum_required(VERSION 3.26) +if(CMAKE_SYSTEM_NAME STREQUAL "Darwin") + # For xcframework support + cmake_minimum_required(VERSION 3.28) +else() + cmake_minimum_required(VERSION 3.26) +endif() include(FetchContent) include(CMakeDependentOption) project(Generators LANGUAGES C CXX) @@ -13,6 +18,12 @@ if("${CMAKE_C_COMPILER_ID}" STREQUAL "GNU" AND CMAKE_C_COMPILER_VERSION VERSION_ message(FATAL_ERROR "GCC version must be greater than or equal to 11") endif() +# Avoid warning of Calling FetchContent_Populate(Lib) is deprecated temporarily +# TODO: find a better way to handle the header-only 3rd party deps +if(CMAKE_VERSION VERSION_GREATER_EQUAL "3.30.0") + cmake_policy(SET CMP0169 OLD) +endif() + if(MSVC) # DLL initialization errors due to old conda msvcp140.dll dll are a result of the new MSVC compiler # See https://developercommunity.visualstudio.com/t/Access-violation-with-std::mutex::lock-a/10664660#T-N10668856 @@ -20,6 +31,7 @@ if(MSVC) add_compile_definitions(_DISABLE_CONSTEXPR_MUTEX_CONSTRUCTOR) endif() +include(cmake/ortlib.cmake) include(cmake/external/onnxruntime_external_deps.cmake) # All Global variables, including GLOB, for the top level CMakeLists.txt should be defined here include(cmake/global_variables.cmake) @@ -29,6 +41,8 @@ include(cmake/check_cuda.cmake) include(cmake/check_rocm.cmake) # Checking if DML is supported include(cmake/check_dml.cmake) +# Checking if WebGpu is supported +include(cmake/check_webgpu.cmake) include(cmake/cxx_standard.cmake) @@ -45,11 +59,20 @@ if(MSVC) ) endif() +# Suggested by https://gitlab.kitware.com/cmake/cmake/-/issues/20132 +# MacCatalyst is not well supported in CMake +# The error that can emerge without this flag can look like: +# "clang : error : overriding '-mmacosx-version-min=11.0' option with '-target x86_64-apple-ios14.0-macabi' [-Werror,-Woverriding-t-option]" +if (PLATFORM_NAME STREQUAL "macabi") + add_compile_options(-Wno-overriding-t-option) + add_link_options(-Wno-overriding-t-option) +endif() + if(ENABLE_TESTS) # call enable_testing so we can add tests from subdirectories (e.g. test and src/java) # it applies recursively to all subdirectories enable_testing() - if (TEST_PHI2) + if (USE_CUDA OR TEST_PHI2) add_compile_definitions(TEST_PHI2=1) else() add_compile_definitions(TEST_PHI2=0) @@ -84,21 +107,35 @@ target_link_directories(onnxruntime-genai PRIVATE ${ORT_LIB_DIR}) # we keep the shared libraries disconnected on Android as they will come from separate AARs and we don't want to force # the ORT version to match in both. -if(NOT (CMAKE_SYSTEM_NAME STREQUAL "Android" OR CMAKE_SYSTEM_NAME STREQUAL "Linux")) -target_link_libraries(onnxruntime-genai PRIVATE ${ONNXRUNTIME_LIB}) +if(CMAKE_SYSTEM_NAME STREQUAL "Android" OR CMAKE_SYSTEM_NAME STREQUAL "Linux" OR (CMAKE_SYSTEM_NAME STREQUAL "Darwin" AND (NOT BUILD_APPLE_FRAMEWORK) AND (NOT MAC_CATALYST))) + add_compile_definitions(_ORT_GENAI_USE_DLOPEN) +else() + target_link_libraries(onnxruntime-genai PRIVATE ${ONNXRUNTIME_LIB}) endif() -set_target_properties(onnxruntime-genai PROPERTIES FOLDER "Sources") -set_target_properties(onnxruntime-genai-static PROPERTIES FOLDER "Sources") -source_group(TREE ${PROJECT_SOURCE_DIR} FILES ${generator_srcs}) +if(APPLE) +target_link_libraries(onnxruntime-genai PRIVATE "-framework Foundation" "-framework CoreML") +endif() + +# Build all source files using CUDA as a separate shared library we dynamically load at runtime if(USE_CUDA AND CMAKE_CUDA_COMPILER) - set_target_properties(onnxruntime-genai PROPERTIES LINKER_LANGUAGE CUDA) - target_link_libraries(onnxruntime-genai PRIVATE cublasLt cublas curand cufft cudart) - # onnxruntime-genai-static is statically linked under Windows - if(CMAKE_SYSTEM_NAME STREQUAL "Linux") - set_target_properties(onnxruntime-genai-static PROPERTIES LINKER_LANGUAGE CUDA) - target_link_libraries(onnxruntime-genai-static PRIVATE cublasLt cublas curand cufft cudart) + add_library(onnxruntime-genai-cuda SHARED ${generator_cudalib_srcs}) + target_include_directories(onnxruntime-genai-cuda PRIVATE ${ORT_HEADER_DIR}) + target_include_directories(onnxruntime-genai-cuda PRIVATE ${GENERATORS_ROOT}) + target_link_libraries(onnxruntime-genai-cuda PRIVATE cublasLt cublas curand cufft cudart) + set_target_properties(onnxruntime-genai-cuda PROPERTIES LINKER_LANGUAGE CUDA) + add_dependencies(onnxruntime-genai onnxruntime-genai-cuda) + source_group(TREE ${GENERATORS_ROOT}/cuda FILES ${generator_cudalib_srcs}) + list(APPEND ortgenai_embed_libs "$") + if(APPLE) + set_property(TARGET onnxruntime-genai-cuda APPEND_STRING PROPERTY LINK_FLAGS "-Xlinker -exported_symbols_list ${GENERATORS_ROOT}/cuda/exported_symbols.lst") + elseif(UNIX) + set_property(TARGET onnxruntime-genai-cuda APPEND_STRING PROPERTY LINK_FLAGS "-Xlinker --version-script=${GENERATORS_ROOT}/cuda/version_script.lds -Xlinker --gc-sections") + elseif(WIN32) + set_property(TARGET onnxruntime-genai-cuda APPEND_STRING PROPERTY LINK_FLAGS "-DEF:${GENERATORS_ROOT}/cuda/symbols.def") + else() + message(FATAL_ERROR "${target} unknown platform, need to specify shared library exports for it") endif() endif() @@ -109,19 +146,27 @@ endif() if(CMAKE_SYSTEM_NAME STREQUAL "Linux") set_target_properties(onnxruntime-genai-static PROPERTIES POSITION_INDEPENDENT_CODE ON) + target_link_libraries(onnxruntime-genai-static PRIVATE dl) # For dlopen & co endif() if(USE_DML) - list(APPEND onnxruntime_libs "${ORT_LIB_DIR}/DirectML.dll") - list(APPEND onnxruntime_libs "${ORT_LIB_DIR}/D3D12Core.dll") - list(APPEND ortgenai_embed_libs "${ORT_LIB_DIR}/D3D12Core.dll") + list(APPEND ortgenai_embed_libs "${D3D12_LIB_DIR}/D3D12Core.dll") target_include_directories(onnxruntime-genai PRIVATE $) target_include_directories(onnxruntime-genai PRIVATE $/directx) target_include_directories(onnxruntime-genai PRIVATE $) target_include_directories(onnxruntime-genai-static PUBLIC $) target_include_directories(onnxruntime-genai-static PUBLIC $/directx) target_include_directories(onnxruntime-genai-static PUBLIC $) + target_include_directories(onnxruntime-genai PRIVATE ${DML_HEADER_DIR}) + target_include_directories(onnxruntime-genai-static PRIVATE ${DML_HEADER_DIR}) + target_include_directories(onnxruntime-genai PRIVATE ${D3D12_HEADER_DIR}) + target_include_directories(onnxruntime-genai-static PRIVATE ${D3D12_HEADER_DIR}) + target_link_directories(onnxruntime-genai PRIVATE ${DML_LIB_DIR}) + target_link_directories(onnxruntime-genai PRIVATE ${D3D12_LIB_DIR}) + target_link_directories(onnxruntime-genai-static PUBLIC ${DML_LIB_DIR}) + target_link_directories(onnxruntime-genai-static PUBLIC ${D3D12_LIB_DIR}) + target_link_libraries(onnxruntime-genai PRIVATE d3d12.lib dxcore.lib dxguid.lib dxgi.lib) target_link_libraries(onnxruntime-genai PRIVATE d3d12.lib dxcore.lib dxguid.lib dxgi.lib) target_link_libraries(onnxruntime-genai-static PUBLIC d3d12.lib dxcore.lib dxguid.lib dxgi.lib) @@ -172,20 +217,11 @@ if (ENABLE_JAVA) add_subdirectory("${SRC_ROOT}/java") endif() - if(ENABLE_MODEL_BENCHMARK) message("------------------Enabling model benchmark------------------") add_subdirectory("${REPO_ROOT}/benchmark/c") endif() -# Copy the onnxruntime binaries into the build folder so it's found on launch -foreach(DLL_FILE ${onnxruntime_libs}) - add_custom_command( - TARGET onnxruntime-genai POST_BUILD - COMMAND ${CMAKE_COMMAND} -E copy_if_different ${DLL_FILE} $ - ) -endforeach() - # Have visual studio put all files into one single folder vs the default split of header files into a separate folder source_group(TREE ${GENERATORS_ROOT} FILES ${generator_srcs}) diff --git a/README.md b/README.md index 0fd991fb9..7d41095e2 100644 --- a/README.md +++ b/README.md @@ -14,7 +14,7 @@ See documentation at https://onnxruntime.ai/docs/genai. |Support matrix|Supported now|Under development|On the roadmap| |-|-|-|-| -|Model architectures| Gemma
Llama *
Mistral +
Phi (language + vision)
Qwen
|Whisper|Stable diffusion| +|Model architectures| Gemma
Llama *
Mistral +
Phi (language + vision)
Qwen
Nemotron
|Whisper|Stable diffusion| |API| Python
C#
C/C++
Java ^ |Objective-C|| |Platform| Linux
Windows
Mac ^
Android ^ ||iOS ||| |Architecture|x86
x64
Arm64 ~ |||| diff --git a/benchmark/c/CMakeLists.txt b/benchmark/c/CMakeLists.txt index 98501f207..b639efd1a 100644 --- a/benchmark/c/CMakeLists.txt +++ b/benchmark/c/CMakeLists.txt @@ -30,8 +30,4 @@ target_link_libraries(model_benchmark PRIVATE onnxruntime-genai-static ${ONNXRUN target_link_directories(model_benchmark PRIVATE ${ORT_LIB_DIR}) -add_custom_command(TARGET model_benchmark POST_BUILD - COMMAND ${CMAKE_COMMAND} -E copy_if_different ${onnxruntime_libs} $ -) - source_group(TREE ${CMAKE_CURRENT_SOURCE_DIR} FILES ${model_benchmark_srcs}) diff --git a/benchmark/python/README b/benchmark/python/README index 67cac3ccb..d66433ea9 100644 --- a/benchmark/python/README +++ b/benchmark/python/README @@ -2,7 +2,7 @@ This is an end-to-end benchmarking script for any GenAI-supported ONNX model. Prerequisites: -0) Install pandas, onnxruntime-genai and onnxruntime +0) Install onnxruntime-genai, pandas, tqdm and psutil 1) Use builder.py to build the desired ONNX model diff --git a/benchmark/python/benchmark_e2e.py b/benchmark/python/benchmark_e2e.py index c6f90e79d..c759a0f39 100644 --- a/benchmark/python/benchmark_e2e.py +++ b/benchmark/python/benchmark_e2e.py @@ -24,6 +24,8 @@ import json from metrics import BenchmarkRecord +import numpy as np + peak_cpu_memory = 0.0 peak_gpu_memory = 0.0 peak_memory_lock = threading.Lock() @@ -44,7 +46,7 @@ def monitor_gpu_memory(): memory_usage = result.stdout.splitlines() - if len(memory_usage) > 1: + if len(memory_usage) >= 1: gpu_memory = [float(line) for line in memory_usage] current_peak = round(max(gpu_memory) / 1024, 2) with peak_memory_lock: @@ -59,9 +61,9 @@ def monitor_cpu_memory(): global peak_cpu_memory while not stop_monitoring: - current_used_memory = psutil.virtual_memory().used + current_used_memory = round(psutil.virtual_memory().used / 1024**3, 2) with peak_memory_lock: - peak_cpu_memory = round(max(peak_cpu_memory, current_used_memory) / 1024**3, 2) + peak_cpu_memory = max(peak_cpu_memory, current_used_memory) time.sleep(0.1) # Use input model to generate prompt @@ -137,7 +139,7 @@ def save_results(args, results, filename, print_memory_usage=False): if IS_NVIDIA_SYSTEM: columns.append("peak_gpu_memory (GiB)") else: - columns.append("peak_cpu_memory(GiB)") + columns.append("peak_cpu_memory (GiB)") df = pd.DataFrame( results, @@ -165,6 +167,12 @@ def save_results(args, results, filename, print_memory_usage=False): record.metrics.customized["sampling_latency_ms"] = row["Sampling Latency (ms)"] record.metrics.customized["wall_clock_throughput_tps"] = row["Wall Clock Throughput (tps)"] record.metrics.customized["wall_clock_time_s"] = row["Wall Clock Time (s)"] + + if print_memory_usage: + if IS_NVIDIA_SYSTEM: + record.metrics.customized["peak_gpu_memory_gb"] = row["peak_gpu_memory (GiB)"] + else: + record.metrics.customized["peak_cpu_memory_gb"] = row["peak_cpu_memory (GiB)"] records.append(record) @@ -178,6 +186,13 @@ def run_benchmark_memory(args, batch_size, prompt_length, generation_length, max This function is to run benchmark and print the momory usage """ global stop_monitoring + global peak_gpu_memory + global peak_cpu_memory + + # Reset the peak memory variables and the monitoring flag + stop_monitoring = False + peak_gpu_memory = 0.0 + peak_cpu_memory = 0.0 if IS_NVIDIA_SYSTEM: monitor_thread = threading.Thread(target=monitor_gpu_memory) @@ -212,8 +227,14 @@ def run_benchmark(args, batch_size, prompt_length, generation_length, max_length # Generate prompt - prompt = [generate_prompt(model, tokenizer, prompt_length, args.use_graph_capture)] * batch_size - tokens = tokenizer.encode_batch(prompt) + tokens, prompt = None, None + if args.use_random_tokens: + # use random tokens instead of generating a prompt using the model and then tokenizing it + tokens = np.random.randint(100, size=(batch_size, prompt_length)) + prompt = [tokenizer.decode(tokens[0])] * batch_size + else: + prompt = [generate_prompt(model, tokenizer, prompt_length, args.use_graph_capture)] * batch_size + tokens = tokenizer.encode_batch(prompt) params = og.GeneratorParams(model) params.input_ids = tokens @@ -226,8 +247,9 @@ def run_benchmark(args, batch_size, prompt_length, generation_length, max_length if args.verbose: print("Running warmup runs...") for _ in tqdm(range(args.warmup)): generator = og.Generator(model, params) - generator.compute_logits() - generator.generate_next_token() + while not generator.is_done(): + generator.compute_logits() + generator.generate_next_token() if args.print_model_output: print(tokenizer.decode(generator.get_sequence(0))) # Delete the generator to free the captured graph for the next generator, if graph capture is enabled del generator @@ -241,9 +263,6 @@ def run_benchmark(args, batch_size, prompt_length, generation_length, max_length for _ in tqdm(range(num_repetitions)): wall_clock_start_time = time.time() - # Prepare run - generator = og.Generator(model, params) - # Measure tokenization tokenize_start_time = time.perf_counter() tokens = tokenizer.encode_batch(prompt) @@ -329,6 +348,12 @@ def run_benchmark(args, batch_size, prompt_length, generation_length, max_length print(f"Average Wall Clock Time: {avg_wall_clock_time} s") print(f"Average Wall Clock Throughput: {avg_wall_clock_thrpt} tps") + if args.print_memory_usage: + if IS_NVIDIA_SYSTEM: + print(f"Peak GPU Memory Usage: {peak_gpu_memory} GiB ") + else: + print(f"Peak CPU Memory Usage: {peak_cpu_memory} GiB ") + metrics = [ batch_size, prompt_length, @@ -359,7 +384,7 @@ def main(args): max_length = args.max_lengths[0] if len(args.max_lengths) == 1 else args.max_lengths[m] else: max_length = prompt_length + gen_length - print(f"Args: batch_size = {batch_size}, prompt_length = {prompt_length}, tokens = {gen_length}, max_length = {max_length}") + print(f"\nArgs: batch_size = {batch_size}, prompt_length = {prompt_length}, tokens = {gen_length}, max_length = {max_length}") if args.print_memory_usage: metrics = run_benchmark_memory(args, batch_size, prompt_length, gen_length, max_length) else: @@ -370,10 +395,6 @@ def main(args): filename = args.output if args.print_memory_usage: - if IS_NVIDIA_SYSTEM: - print(f"-------------------* Peak GPU Memory Usage: {peak_gpu_memory} GiB *-------------------") - else: - print(f"-------------------* Peak CPU Memory Usage: {peak_cpu_memory} GiB *-------------------") save_results(args, all_csv_metrics, filename, print_memory_usage=True) else: save_results(args, all_csv_metrics, filename) @@ -402,6 +423,7 @@ def str2strlist(value): parser.add_argument('-gc', '--use_graph_capture', action='store_true', help='Use the graph capture feature for CUDA or DML') parser.add_argument('-mn', '--model_name', type=str, default='model_name', help='Model name defined by users') parser.add_argument('-pr', '--precision', type=str, default='fp16', help='Model precision for metrics info') + parser.add_argument('--use_random_tokens', action='store_true', help='Use random tokens instead of generating a prompt') args = parser.parse_args() # check max_lengths diff --git a/build.py b/build.py index 4f21c03fb..d8fb42867 100644 --- a/build.py +++ b/build.py @@ -126,12 +126,19 @@ class HelpFormatter(argparse.ArgumentDefaultsHelpFormatter, argparse.RawDescript parser.add_argument("--use_rocm", action="store_true", help="Whether to use ROCm. Default is to not use rocm.") + parser.add_argument("--use_webgpu", action="store_true", help="Whether to use WebGpu. Default is to not use WebGpu.") + parser.add_argument("--use_dml", action="store_true", help="Whether to use DML. Default is to not use DML.") # The following options are mutually exclusive (cross compiling options such as android, ios, etc.) platform_group = parser.add_mutually_exclusive_group() platform_group.add_argument("--android", action="store_true", help="Build for Android") - platform_group.add_argument("--ios", action="store_true", help="Build for ios") + platform_group.add_argument("--ios", action="store_true", help="Build for iOS") + platform_group.add_argument( + "--macos", + choices=["MacOSX", "Catalyst"], + help="Specify the target platform for macOS build. Only specify this argument when --build_apple_framework is present.", + ) # Android options parser.add_argument( @@ -157,23 +164,27 @@ class HelpFormatter(argparse.ArgumentDefaultsHelpFormatter, argparse.RawDescript # iOS build options parser.add_argument( - "--ios_sysroot", + "--apple_sysroot", default="", help="Specify the location name of the macOS platform SDK to be used", ) parser.add_argument( - "--ios_arch", + "--osx_arch", type=str, help="Specify the Target specific architectures for iOS " "This is only supported on MacOS host", ) parser.add_argument( - "--ios_deployment_target", + "--apple_deploy_target", type=str, help="Specify the minimum version of the target platform " "This is only supported on MacOS host", ) + parser.add_argument( + "--build_apple_framework", action="store_true", help="Build a macOS/iOS framework for the ONNXRuntime." + ) + parser.add_argument( "--arm64", action="store_true", @@ -285,14 +296,14 @@ def _validate_ios_args(args: argparse.Namespace): raise ValueError("A Mac host is required to build for iOS") needed_args = [ - args.ios_sysroot, - args.ios_arch, - args.ios_deployment_target, + args.apple_sysroot, + args.osx_arch, + args.apple_deploy_target, ] arg_names = [ - "--ios_sysroot ", - "--ios_arch ", - "--ios_deployment_target ", + "--apple_sysroot ", + "--osx_arch ", + "--apple_deploy_target ", ] have_required_args = all(_ is not None for _ in needed_args) if not have_required_args: @@ -347,18 +358,16 @@ def _create_env(args: argparse.Namespace): return env -def _get_csharp_properties(args: argparse.Namespace): +def _get_csharp_properties(args: argparse.Namespace, ort_lib_dir: Path): # Tests folder does not have a sln file. We use the csproj file to build and test. # The csproj file requires the platform to be AnyCPU (not "Any CPU") configuration = f"/p:Configuration={args.config}" platform = "/p:Platform=Any CPU" # need an extra config on windows as the actual build output is in the original build dir / config / config native_lib_path = f"/p:NativeBuildOutputDir={str(args.build_dir / args.config) if util.is_windows() else str(args.build_dir)}" + ort_lib_path = f"/p:OrtLibDir={ort_lib_dir}" - props = [configuration, platform, native_lib_path] - - if args.ort_home: - props.append(f"/p:OrtHome={args.ort_home}") + props = [configuration, platform, native_lib_path, ort_lib_path] return props @@ -464,6 +473,7 @@ def update(args: argparse.Namespace, env: dict[str, str]): "-DCMAKE_POSITION_INDEPENDENT_CODE=ON", f"-DUSE_CUDA={'ON' if args.use_cuda else 'OFF'}", f"-DUSE_ROCM={'ON' if args.use_rocm else 'OFF'}", + f"-DUSE_WEBGPU={'ON' if args.use_webgpu else 'OFF'}", f"-DUSE_DML={'ON' if args.use_dml else 'OFF'}", f"-DENABLE_JAVA={'ON' if args.build_java else 'OFF'}", f"-DBUILD_WHEEL={build_wheel}", @@ -487,9 +497,26 @@ def update(args: argparse.Namespace, env: dict[str, str]): "-DENABLE_TESTS=OFF", ] + if args.ios or args.macos: + platform_name = "macabi" if args.macos == "Catalyst" else args.apple_sysroot + command += [ + "-DENABLE_PYTHON=OFF", + "-DENABLE_TESTS=OFF", + "-DENABLE_MODEL_BENCHMARK=OFF", + f"-DBUILD_APPLE_FRAMEWORK={'ON' if args.build_apple_framework else 'OFF'}", + "-DPLATFORM_NAME=" + platform_name, + ] + + if args.macos: + command += [ + f"-DCMAKE_OSX_SYSROOT={args.apple_sysroot}", + f"-DCMAKE_OSX_ARCHITECTURES={args.osx_arch}", + f"-DCMAKE_OSX_DEPLOYMENT_TARGET={args.apple_deploy_target}", + ] + if args.ios: def _get_opencv_toolchain_file(): - if args.ios_sysroot == "iphoneos": + if args.apple_sysroot == "iphoneos": return ( REPO_ROOT / "cmake" / "external" / "opencv" / "platforms" / "iOS" / "cmake" / "Toolchains" / "Toolchain-iPhoneOS_Xcode.cmake" @@ -500,30 +527,38 @@ def _get_opencv_toolchain_file(): "Toolchains" / "Toolchain-iPhoneSimulator_Xcode.cmake" ) - command += [ "-DCMAKE_SYSTEM_NAME=iOS", - f"-DCMAKE_OSX_SYSROOT={args.ios_sysroot}", - f"-DCMAKE_OSX_ARCHITECTURES={args.ios_arch}", - f"-DCMAKE_OSX_DEPLOYMENT_TARGET={args.ios_deployment_target}", - "-DENABLE_PYTHON=OFF", + f"-DIOS_ARCH={args.osx_arch}", + f"-DIPHONEOS_DEPLOYMENT_TARGET={args.apple_deploy_target}", # The following arguments are specific to the OpenCV toolchain file - f"-DIOS_ARCH={args.ios_arch}", - f"-DIPHONEOS_DEPLOYMENT_TARGET={args.ios_deployment_target}", f"-DCMAKE_TOOLCHAIN_FILE={_get_opencv_toolchain_file()}", ] + if args.macos == "Catalyst": + if args.cmake_generator == "Xcode": + raise Exception("Xcode CMake generator ('--cmake_generator Xcode') doesn't support Mac Catalyst build.") + + macabi_target = f"{args.osx_arch}-apple-ios{args.apple_deploy_target}-macabi" + command += [ + "-DCMAKE_CXX_COMPILER_TARGET=" + macabi_target, + "-DCMAKE_C_COMPILER_TARGET=" + macabi_target, + "-DCMAKE_CC_COMPILER_TARGET=" + macabi_target, + f"-DCMAKE_CXX_FLAGS=--target={macabi_target}", + f"-DCMAKE_CXX_FLAGS_RELEASE=-O3 -DNDEBUG --target={macabi_target}", + f"-DCMAKE_C_FLAGS=--target={macabi_target}", + f"-DCMAKE_C_FLAGS_RELEASE=-O3 -DNDEBUG --target={macabi_target}", + f"-DCMAKE_CC_FLAGS=--target={macabi_target}", + f"-DCMAKE_CC_FLAGS_RELEASE=-O3 -DNDEBUG --target={macabi_target}", + "-DMAC_CATALYST=1", + ] + if args.arm64: command += ["-A", "ARM64"] elif args.arm64ec: command += ["-A", "ARM64EC"] if args.arm64 or args.arm64ec: - # Build zlib from source. Otherwise zlib from Python might be used. - # And architecture mismatch will happen. - command += ["-D", "BUILD_ZLIB=ON"] - command += ["-DOPENCV_SKIP_SYSTEM_PROCESSOR_DETECTION=ON"] - if args.test: log.warning( "Cannot test on host build machine for cross-compiled " @@ -549,12 +584,18 @@ def build(args: argparse.Namespace, env: dict[str, str]): util.run(make_command, env=env) + lib_dir = args.build_dir + if not args.ort_home: + _ = util.download_dependencies(args.use_cuda, args.use_rocm, args.use_dml, lib_dir) + else: + lib_dir = args.ort_home / "lib" + if args.build_csharp: dotnet = str(_resolve_executable_path("dotnet")) # Build the library csharp_build_command = [dotnet, "build", ".",] - csharp_build_command += _get_csharp_properties(args) + csharp_build_command += _get_csharp_properties(args, ort_lib_dir=lib_dir) util.run(csharp_build_command, cwd=REPO_ROOT / "src" / "csharp") util.run(csharp_build_command, cwd=REPO_ROOT / "test" / "csharp") @@ -563,13 +604,24 @@ def test(args: argparse.Namespace, env: dict[str, str]): """ Run the tests. """ + lib_dir = args.build_dir / "test" + if util.is_windows(): + # On Windows, the unit test executable is found inside a directory named after the configuration + # (e.g. Debug, Release, etc.) within the test directory. + # Whereas on as on platforms, the executable is directly under the test directory. + lib_dir = lib_dir / args.config + if not args.ort_home: + _ = util.download_dependencies(args.use_cuda, args.use_rocm, args.use_dml, lib_dir) + else: + lib_dir = args.ort_home / "lib" + ctest_cmd = [str(args.ctest_path), "--build-config", args.config, "--verbose", "--timeout", "10800"] - util.run(ctest_cmd, cwd=str(args.build_dir)) + util.run(ctest_cmd, cwd=str(args.build_dir / "test")) if args.build_csharp: dotnet = str(_resolve_executable_path("dotnet")) csharp_test_command = [dotnet, "test"] - csharp_test_command += _get_csharp_properties(args) + csharp_test_command += _get_csharp_properties(args, ort_lib_dir=lib_dir) util.run(csharp_test_command, env=env, cwd=str(REPO_ROOT / "test" / "csharp")) if args.android: diff --git a/cmake/Info.plist.in b/cmake/Info.plist.in new file mode 100644 index 000000000..f84bd250c --- /dev/null +++ b/cmake/Info.plist.in @@ -0,0 +1,20 @@ + + + + + CFBundleExecutable + ${MACOSX_FRAMEWORK_NAME} + CFBundleName + ${MACOSX_FRAMEWORK_NAME} + CFBundleIdentifier + ${MACOSX_FRAMEWORK_IDENTIFIER} + CFBundleVersion + ${ORT_VERSION} + CFBundleShortVersionString + ${ORT_VERSION} + CFBundleSignature + ???? + CFBundlePackageType + FMWK + + diff --git a/cmake/check_cuda.cmake b/cmake/check_cuda.cmake index 620a5b27a..2ce10f301 100644 --- a/cmake/check_cuda.cmake +++ b/cmake/check_cuda.cmake @@ -39,19 +39,18 @@ if(USE_CUDA AND CMAKE_CUDA_COMPILER) set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -Xcudafe --diag_suppress=2803 --expt-relaxed-constexpr") - file(GLOB generator_cuda_srcs CONFIGURE_DEPENDS - "${GENERATORS_ROOT}/*.cu" - "${GENERATORS_ROOT}/*.cuh" - "${MODELS_ROOT}/*.cu" - "${MODELS_ROOT}/*.cuh" + file(GLOB generator_cudalib_srcs CONFIGURE_DEPENDS + "${GENERATORS_ROOT}/cuda/*.cpp" + "${GENERATORS_ROOT}/cuda/*.h" + "${GENERATORS_ROOT}/cuda/*.cu" + "${GENERATORS_ROOT}/cuda/*.cuh" ) + file(GLOB test_cuda_srcs CONFIGURE_DEPENDS "${TESTS_ROOT}/*.cu" "${TESTS_ROOT}/*.cuh" ) list(APPEND test_srcs ${test_cuda_srcs}) - list(APPEND generator_srcs ${generator_cuda_srcs}) - list(APPEND onnxruntime_libs "${ORT_LIB_DIR}/${ONNXRUNTIME_PROVIDERS_CUDA_LIB}") add_compile_definitions(USE_CUDA=1) include_directories("${CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES}") elseif(USE_CUDA) diff --git a/cmake/check_rocm.cmake b/cmake/check_rocm.cmake index 567118f32..3ce52eef4 100644 --- a/cmake/check_rocm.cmake +++ b/cmake/check_rocm.cmake @@ -3,7 +3,6 @@ if(USE_ROCM AND NOT EXISTS "${ORT_LIB_DIR}/${ONNXRUNTIME_PROVIDERS_ROCM_LIB}") endif() if(USE_ROCM) - list(APPEND onnxruntime_libs "${ORT_LIB_DIR}/${ONNXRUNTIME_PROVIDERS_ROCM_LIB}") add_compile_definitions(USE_ROCM=1) else() add_compile_definitions(USE_ROCM=0) diff --git a/cmake/check_webgpu.cmake b/cmake/check_webgpu.cmake new file mode 100644 index 000000000..6ef488052 --- /dev/null +++ b/cmake/check_webgpu.cmake @@ -0,0 +1,6 @@ + +if(USE_WEBGPU) + add_compile_definitions(USE_WEBGPU=1) +else() + add_compile_definitions(USE_WEBGPU=0) +endif() \ No newline at end of file diff --git a/cmake/deps.txt b/cmake/deps.txt index 749aa507b..6e504c9a7 100644 --- a/cmake/deps.txt +++ b/cmake/deps.txt @@ -14,4 +14,4 @@ pybind11;https://github.com/pybind/pybind11/archive/refs/tags/v2.10.1.zip;769b6a googletest;https://github.com/google/googletest/archive/530d5c8c84abd2a46f38583ee817743c9b3a42b4.zip;5e3a61db2aa975cfd0f97ba92c818744e7fa7034 microsoft_wil;https://github.com/microsoft/wil/archive/refs/tags/v1.0.230629.1.zip;e4a542a323c070376f7c2d1973d0f7ddbc1d2fa5 directx_headers;https://github.com/microsoft/DirectX-Headers/archive/refs/tags/v1.613.1.zip;47653509a3371eabb156360f42faf582f314bf2e -onnxruntime_extensions;https://github.com/microsoft/onnxruntime-extensions.git;8b002b86abadd9fc6be99acfff321ac3bc40c072 +onnxruntime_extensions;https://github.com/microsoft/onnxruntime-extensions.git;2c3e936cfc3401ba7ebb79d02b9e52a50439ffc3 diff --git a/cmake/external/onnxruntime_external_deps.cmake b/cmake/external/onnxruntime_external_deps.cmake index 579076cfc..8dde244c7 100644 --- a/cmake/external/onnxruntime_external_deps.cmake +++ b/cmake/external/onnxruntime_external_deps.cmake @@ -87,3 +87,9 @@ FetchContent_Declare( ) set(OCOS_BUILD_PRESET ort_genai) onnxruntime_fetchcontent_makeavailable(onnxruntime_extensions) + +list(APPEND EXTERNAL_LIBRARIES + onnxruntime_extensions + ocos_operators + noexcep_operators +) diff --git a/cmake/global_variables.cmake b/cmake/global_variables.cmake index 4edfcc4a6..18ec3cad7 100644 --- a/cmake/global_variables.cmake +++ b/cmake/global_variables.cmake @@ -31,16 +31,6 @@ set(REPO_ROOT ${PROJECT_SOURCE_DIR}) set(SRC_ROOT ${REPO_ROOT}/src) set(GENERATORS_ROOT ${SRC_ROOT}) set(MODELS_ROOT ${SRC_ROOT}/models) -set(ORT_HOME ${REPO_ROOT}/ort CACHE PATH "Path to the onnxruntime root directory.") - -if (ANDROID) - # Paths are based on the directory structure of the ORT Android AAR. - set(ORT_HEADER_DIR ${ORT_HOME}/headers) - set(ORT_LIB_DIR ${ORT_HOME}/jni/${ANDROID_ABI}) -else() - set(ORT_HEADER_DIR ${ORT_HOME}/include) - set(ORT_LIB_DIR ${ORT_HOME}/lib) -endif() # Define the dependency libraries @@ -48,20 +38,27 @@ if(WIN32) set(ONNXRUNTIME_LIB "onnxruntime.dll") set(ONNXRUNTIME_PROVIDERS_CUDA_LIB "onnxruntime_providers_cuda.dll") set(ONNXRUNTIME_PROVIDERS_ROCM_LIB "onnxruntime_providers_rocm.dll") - set(ONNXRUNTIME_ALL_SHARED_LIBS "onnxruntime*.dll") - set(ONNXRUNTIME_EXTENSIONS_LIB "tfmtok_c.lib") - set(ONNXRUNTIME_EXTENSIONS_FILES "tfmtok_c.dll") elseif(APPLE) - set(ONNXRUNTIME_LIB "libonnxruntime.dylib") - set(ONNXRUNTIME_PROVIDERS_CUDA_LIB "libonnxruntime_providers_cuda.dylib") - set(ONNXRUNTIME_PROVIDERS_ROCM_LIB "libonnxruntime_providers_rocm.dylib") - set(ONNXRUNTIME_ALL_SHARED_LIBS "libonnxruntime*.dylib") + if(IOS OR MAC_CATALYST) + add_library(onnxruntime IMPORTED STATIC) + if(PLATFORM_NAME STREQUAL "macabi") + # The xcframework in cmake doesn't seem to support MacCatalyst. + # Without manually setting the target framework, cmake will be confused and looking for wrong libraries. + # The error looks like: 'Unable to find suitable library in: Info.plist for system name "Darwin"' + set_property(TARGET onnxruntime PROPERTY IMPORTED_LOCATION ${ORT_LIB_DIR}/onnxruntime.xcframework/ios-arm64_x86_64-maccatalyst/onnxruntime.framework) + else() + set_property(TARGET onnxruntime PROPERTY IMPORTED_LOCATION ${ORT_LIB_DIR}/onnxruntime.xcframework) + endif() + set(ONNXRUNTIME_LIB onnxruntime) + else() + set(ONNXRUNTIME_LIB "libonnxruntime.dylib") + set(ONNXRUNTIME_PROVIDERS_CUDA_LIB "libonnxruntime_providers_cuda.dylib") + set(ONNXRUNTIME_PROVIDERS_ROCM_LIB "libonnxruntime_providers_rocm.dylib") + endif() else() set(ONNXRUNTIME_LIB "libonnxruntime.so") set(ONNXRUNTIME_PROVIDERS_CUDA_LIB "libonnxruntime_providers_cuda.so") set(ONNXRUNTIME_PROVIDERS_ROCM_LIB "libonnxruntime_providers_rocm.so") - set(ONNXRUNTIME_ALL_SHARED_LIBS "libonnxruntime*.so*") - set(ONNXRUNTIME_EXTENSIONS_LIB "tfmtok_c.so") endif() file(GLOB generator_srcs CONFIGURE_DEPENDS @@ -71,12 +68,18 @@ file(GLOB generator_srcs CONFIGURE_DEPENDS "${MODELS_ROOT}/*.cpp" ) -file(GLOB onnxruntime_libs "${ORT_LIB_DIR}/${ONNXRUNTIME_ALL_SHARED_LIBS}") set(ortgenai_embed_libs "") # shared libs that will be embedded inside the onnxruntime-genai package -if(NOT EXISTS "${ORT_LIB_DIR}/${ONNXRUNTIME_LIB}") - message(FATAL_ERROR "Expected the ONNX Runtime library to be found at ${ORT_LIB_DIR}/${ONNXRUNTIME_LIB}. Actual: Not found.") +if (IOS OR MAC_CATALYST) + if (NOT EXISTS "${ORT_LIB_DIR}/onnxruntime.xcframework") + message(FATAL_ERROR "Expected the ONNX Runtime XCFramework to be found at ${ORT_LIB_DIR}/onnxruntime.xcframework. Actual: Not found.") + endif() +else() + if(NOT EXISTS "${ORT_LIB_DIR}/${ONNXRUNTIME_LIB}") + message(FATAL_ERROR "Expected the ONNX Runtime library to be found at ${ORT_LIB_DIR}/${ONNXRUNTIME_LIB}. Actual: Not found.") + endif() endif() + if(NOT EXISTS "${ORT_HEADER_DIR}/onnxruntime_c_api.h") message(FATAL_ERROR "Expected the ONNX Runtime C API header to be found at \"${ORT_HEADER_DIR}/onnxruntime_c_api.h\". Actual: Not found.") endif() @@ -96,9 +99,9 @@ if (MSVC) elseif (genai_target_platform STREQUAL "ARM64" OR genai_target_platform STREQUAL "ARM64EC") set(genai_target_platform "arm64") - elseif (genai_target_platform STREQUAL "x64" OR - genai_target_platform STREQUAL "x86_64" OR - genai_target_platform STREQUAL "AMD64" OR + elseif (genai_target_platform STREQUAL "x64" OR + genai_target_platform STREQUAL "x86_64" OR + genai_target_platform STREQUAL "AMD64" OR CMAKE_GENERATOR MATCHES "Win64") set(genai_target_platform "x64") else() diff --git a/cmake/options.cmake b/cmake/options.cmake index 2aec9d3b2..fcb8454bb 100644 --- a/cmake/options.cmake +++ b/cmake/options.cmake @@ -4,6 +4,7 @@ include(CMakeDependentOption) option(USE_CUDA "Build with CUDA support" ON) option(USE_ROCM "Build with ROCm support" ON) option(USE_DML "Build with DML support" OFF) +option(USE_WEBGPU "Build with WEBGPU support" ON) # bindings option(ENABLE_JAVA "Build the Java API." OFF) @@ -16,4 +17,3 @@ option(TEST_PHI2 "Enable tests for Phi2" OFF) # performance option(ENABLE_MODEL_BENCHMARK "Build model benchmark program" ON) - diff --git a/cmake/ortlib.cmake b/cmake/ortlib.cmake new file mode 100644 index 000000000..c1baf2080 --- /dev/null +++ b/cmake/ortlib.cmake @@ -0,0 +1,138 @@ +# Copyright (c) Microsoft Corporation. All rights reserved. +# Licensed under the MIT License. + +if(ORT_HOME) + # If ORT_HOME is specified at build time, use ORT_HOME to get the onnxruntime headers and libraries + message(STATUS "Using ONNX Runtime from ${ORT_HOME}") + + if (ANDROID) + # Paths are based on the directory structure of the ORT Android AAR. + set(ORT_HEADER_DIR ${ORT_HOME}/headers) + set(ORT_LIB_DIR ${ORT_HOME}/jni/${ANDROID_ABI}) + elseif (IOS OR MAC_CATALYST) + set(ORT_HEADER_DIR ${ORT_HOME}/Headers) + set(ORT_LIB_DIR ${ORT_HOME}/) + else() + set(ORT_HEADER_DIR ${ORT_HOME}/include) + set(ORT_LIB_DIR ${ORT_HOME}/lib) + endif() +else() + # If ORT_HOME is not specified, download the onnxruntime headers and libraries from the nightly feed + set(ORT_VERSION "1.20.0-dev-20241007-1101-407c1ab2e2") + set(ORT_FEED_ORG_NAME "aiinfra") + set(ORT_FEED_PROJECT "2692857e-05ef-43b4-ba9c-ccf1c22c437c") + set(ORT_NIGHTLY_FEED_ID "7982ae20-ed19-4a35-a362-a96ac99897b7") + + if(USE_CUDA) + set(ORT_VERSION "1.20.0-dev-20241007-0341-407c1ab2e2") + if(CMAKE_SYSTEM_NAME STREQUAL "Linux") + set(ORT_PACKAGE_NAME "Microsoft.ML.OnnxRuntime.Gpu.Linux") + elseif(WIN32) + set(ORT_PACKAGE_NAME "Microsoft.ML.OnnxRuntime.Gpu.Windows") + else() + message(FATAL_ERROR "Unsupported platform for CUDA") + endif() + elseif(USE_DML) + set(ORT_VERSION "1.20.0-dev-20241007-1101-407c1ab2e2") + set(ORT_PACKAGE_NAME "Microsoft.ML.OnnxRuntime.DirectML") + elseif(USE_ROCM) + set(ORT_VERSION "1.19.2") + set(ORT_PACKAGE_NAME "Microsoft.ML.OnnxRuntime.Rocm") + else() + set(ORT_PACKAGE_NAME "Microsoft.ML.OnnxRuntime") + endif() + + set(ORT_FETCH_URL "https://pkgs.dev.azure.com/${ORT_FEED_ORG_NAME}/${ORT_FEED_PROJECT}/_apis/packaging/feeds/${ORT_NIGHTLY_FEED_ID}/nuget/packages/${ORT_PACKAGE_NAME}/versions/${ORT_VERSION}/content?api-version=6.0-preview.1") + + message(STATUS "Using ONNX Runtime package ${ORT_PACKAGE_NAME} version ${ORT_VERSION}") + + FetchContent_Declare( + ortlib + URL ${ORT_FETCH_URL} + ) + FetchContent_makeAvailable(ortlib) + + if(USE_CUDA) + set(ORT_HEADER_DIR ${ortlib_SOURCE_DIR}/buildTransitive/native/include) + else() + set(ORT_HEADER_DIR ${ortlib_SOURCE_DIR}/build/native/include) + endif() + + if(ANDROID) + file(ARCHIVE_EXTRACT INPUT ${ortlib_SOURCE_DIR}/runtimes/android/native/onnxruntime.aar DESTINATION ${ortlib_SOURCE_DIR}/runtimes/android/native/) + set(ORT_LIB_DIR ${ortlib_SOURCE_DIR}/runtimes/android/native/jni/${ANDROID_ABI}) + elseif (IOS OR MAC_CATALYST) + file(ARCHIVE_EXTRACT INPUT ${ortlib_SOURCE_DIR}/runtimes/ios/native/onnxruntime.xcframework.zip DESTINATION ${ortlib_SOURCE_DIR}/runtimes/ios/native/) + set(ORT_LIB_DIR ${ortlib_SOURCE_DIR}/runtimes/ios/native/) + else() + set(ORT_BINARY_PLATFORM "x64") + if (APPLE) + if(CMAKE_OSX_ARCHITECTURES STREQUAL "arm64") + set(ORT_BINARY_PLATFORM "arm64") + endif() + set(ORT_LIB_DIR ${ortlib_SOURCE_DIR}/runtimes/osx-${ORT_BINARY_PLATFORM}/native) + elseif(WIN32) + if (CMAKE_GENERATOR_PLATFORM) + if (CMAKE_GENERATOR_PLATFORM STREQUAL "ARM64" OR CMAKE_GENERATOR_PLATFORM STREQUAL "ARM64EC" OR CMAKE_GENERATOR_PLATFORM STREQUAL "arm64") + set(ORT_BINARY_PLATFORM "arm64") + endif() + elseif (CMAKE_SYSTEM_PROCESSOR STREQUAL "ARM64") + set(ORT_BINARY_PLATFORM "arm64") + endif() + set(ORT_LIB_DIR ${ortlib_SOURCE_DIR}/runtimes/win-${ORT_BINARY_PLATFORM}/native) + elseif(CMAKE_SYSTEM_NAME STREQUAL "Linux") + if(CMAKE_SYSTEM_PROCESSOR MATCHES "aarch64") + set(ORT_BINARY_PLATFORM "arm64") + endif() + set(ORT_LIB_DIR ${ortlib_SOURCE_DIR}/runtimes/linux-${ORT_BINARY_PLATFORM}/native) + else() + message(FATAL_ERROR "Auto download ONNX Runtime for this platform is not supported.") + endif() + endif() +endif() + +# Download DML headers and libraries +if(USE_DML) + set(DML_VERSION "1.15.2") + set(DML_PACKAGE_NAME "Microsoft.AI.DirectML") + set(DML_FETCH_URL "https://www.nuget.org/api/v2/package/${DML_PACKAGE_NAME}/${DML_VERSION}") + + FetchContent_Declare( + dmllib + URL ${DML_FETCH_URL} + ) + FetchContent_makeAvailable(dmllib) + set(DML_HEADER_DIR ${dmllib_SOURCE_DIR}/build/native/include) + + set(DML_BINARY_PLATFORM "x64") + if (CMAKE_GENERATOR_PLATFORM) + if (CMAKE_GENERATOR_PLATFORM STREQUAL "ARM64" OR CMAKE_GENERATOR_PLATFORM STREQUAL "arm64") + set(DML_BINARY_PLATFORM "arm64") + elseif(CMAKE_GENERATOR_PLATFORM STREQUAL "ARM64EC") + set(DML_BINARY_PLATFORM "arm64ec") + endif() + elseif (CMAKE_SYSTEM_PROCESSOR STREQUAL "ARM64") + set(DML_BINARY_PLATFORM "arm64") + endif() + + set(DML_LIB_DIR ${dmllib_SOURCE_DIR}/runtimes/bin/${DML_BINARY_PLATFORM}-win/native) + + set(D3D12_VERSION "1.614.1") + set(D3D12_PACKAGE_NAME "Microsoft.Direct3D.D3D12") + set(D3D12_FETCH_URL "https://www.nuget.org/api/v2/package/${D3D12_PACKAGE_NAME}/${D3D12_VERSION}") + FetchContent_Declare( + d3d12lib + URL ${D3D12_FETCH_URL} + ) + FetchContent_makeAvailable(d3d12lib) + set(D3D12_HEADER_DIR ${d3d12lib_SOURCE_DIR}/build/native/include) + + set(D3D12_LIB_DIR ${d3d12lib_SOURCE_DIR}/build/native/bin/${DML_BINARY_PLATFORM}) +endif() + +# onnxruntime-extensions can use the same onnxruntime headers +set(ONNXRUNTIME_INCLUDE_DIR ${ORT_HEADER_DIR}) +set(ONNXRUNTIME_LIB_DIR ${ORT_LIB_DIR}) + +message(STATUS "ORT_HEADER_DIR: ${ORT_HEADER_DIR}") +message(STATUS "ORT_LIB_DIR: ${ORT_LIB_DIR}") diff --git a/cmake/package.cmake b/cmake/package.cmake index 87ad79345..35efc3ea8 100644 --- a/cmake/package.cmake +++ b/cmake/package.cmake @@ -1,14 +1,28 @@ -set_target_properties( - onnxruntime-genai PROPERTIES PUBLIC_HEADER +set(ONNXRUNTIME_GENAI_PUBLIC_HEADERS "${PROJECT_SOURCE_DIR}/src/ort_genai_c.h;${PROJECT_SOURCE_DIR}/src/ort_genai.h" ) + +set_target_properties( + onnxruntime-genai PROPERTIES + PUBLIC_HEADER "${ONNXRUNTIME_GENAI_PUBLIC_HEADERS}" +) install(TARGETS onnxruntime-genai LIBRARY DESTINATION lib RUNTIME DESTINATION lib ARCHIVE DESTINATION lib PUBLIC_HEADER DESTINATION include + FRAMEWORK DESTINATION ${CMAKE_INSTALL_BINDIR} ) +if(USE_CUDA) + install(TARGETS + onnxruntime-genai-cuda + LIBRARY DESTINATION lib + RUNTIME DESTINATION lib + ARCHIVE DESTINATION lib + ) +endif() + if (WIN32) install(FILES $ DESTINATION lib CONFIGURATIONS RelWithDebInfo Debug) endif() @@ -47,7 +61,11 @@ elseif (LINUX) set(CPACK_PACKAGE_FILE_NAME "onnxruntime-genai-${VERSION_INFO}-linux-arm64") endif () elseif (APPLE) - set(CPACK_PACKAGE_FILE_NAME "onnxruntime-genai-${VERSION_INFO}-osx-arm64") + if (CMAKE_OSX_ARCHITECTURES STREQUAL "x86_64") + set(CPACK_PACKAGE_FILE_NAME "onnxruntime-genai-${VERSION_INFO}-osx-x64") + else () + set(CPACK_PACKAGE_FILE_NAME "onnxruntime-genai-${VERSION_INFO}-osx-arm64") + endif() endif () if (WIN32) @@ -64,8 +82,109 @@ install(FILES "${PROJECT_SOURCE_DIR}/LICENSE" DESTINATION .) -install(FILES - ${onnxruntime_libs} - DESTINATION lib) +include(CPack) + + +# Assemble the Apple static framework (iOS and macOS) +if(BUILD_APPLE_FRAMEWORK) + # create Info.plist for the framework and podspec for CocoaPods (optional) + set(MACOSX_FRAMEWORK_NAME "onnxruntime-genai") + set(MACOSX_FRAMEWORK_IDENTIFIER "com.microsoft.onnxruntime-genai") + # Need to include CoreML as a weaklink for CocoaPods package if the EP is enabled + if(USE_COREML) + set(APPLE_WEAK_FRAMEWORK "\\\"CoreML\\\"") + endif() + set(INFO_PLIST_PATH "${CMAKE_CURRENT_BINARY_DIR}/Info.plist") + configure_file(${REPO_ROOT}/cmake/Info.plist.in ${INFO_PLIST_PATH}) + configure_file( + ${REPO_ROOT}/tools/ci_build/github/apple/framework_info.json.template + ${CMAKE_CURRENT_BINARY_DIR}/framework_info.json) + + set_target_properties(onnxruntime-genai PROPERTIES + FRAMEWORK TRUE + FRAMEWORK_VERSION A + MACOSX_FRAMEWORK_INFO_PLIST ${INFO_PLIST_PATH} + ) + + if (${CMAKE_SYSTEM_NAME} STREQUAL "iOS") + set_target_properties(onnxruntime-genai PROPERTIES + MACOSX_RPATH TRUE + ) + else() + set_target_properties(onnxruntime-genai PROPERTIES INSTALL_RPATH "@loader_path") + endif() + + # when building for mac catalyst, the CMAKE_OSX_SYSROOT is set to MacOSX as well, to avoid duplication, + # we specify as `-macabi` in the name of the output static apple framework directory. + if (PLATFORM_NAME STREQUAL "macabi") + set(STATIC_FRAMEWORK_OUTPUT_DIR ${CMAKE_CURRENT_BINARY_DIR}/${CMAKE_BUILD_TYPE}-macabi) + else() + set(STATIC_FRAMEWORK_OUTPUT_DIR ${CMAKE_CURRENT_BINARY_DIR}/${CMAKE_BUILD_TYPE}-${CMAKE_OSX_SYSROOT}) + endif() + + # Setup the various directories required. Remove any existing ones so we start with a clean directory. + set(STATIC_LIB_DIR ${CMAKE_CURRENT_BINARY_DIR}/static_libraries) + set(STATIC_LIB_TEMP_DIR ${STATIC_LIB_DIR}/temp) + add_custom_command(TARGET onnxruntime-genai PRE_BUILD COMMAND ${CMAKE_COMMAND} -E rm -rf ${STATIC_LIB_DIR}) + add_custom_command(TARGET onnxruntime-genai PRE_BUILD COMMAND ${CMAKE_COMMAND} -E make_directory ${STATIC_LIB_DIR}) + add_custom_command(TARGET onnxruntime-genai PRE_BUILD COMMAND ${CMAKE_COMMAND} -E make_directory ${STATIC_LIB_TEMP_DIR}) + + set(STATIC_FRAMEWORK_DIR ${STATIC_FRAMEWORK_OUTPUT_DIR}/static_framework/onnxruntime-genai.framework) + add_custom_command(TARGET onnxruntime-genai PRE_BUILD COMMAND ${CMAKE_COMMAND} -E rm -rf ${STATIC_FRAMEWORK_DIR}) + add_custom_command(TARGET onnxruntime-genai PRE_BUILD COMMAND ${CMAKE_COMMAND} -E make_directory ${STATIC_FRAMEWORK_DIR}) + + set(INTERNAL_LIBRARIES) + list(APPEND INTERNAL_LIBRARIES onnxruntime-genai-static) + + # If it's an onnxruntime library, extract .o files from the original cmake build path to a separate directory for + # each library to avoid any clashes with filenames (e.g. utils.o) + foreach(_LIB ${INTERNAL_LIBRARIES} ) + GET_TARGET_PROPERTY(_LIB_TYPE ${_LIB} TYPE) + if(_LIB_TYPE STREQUAL "STATIC_LIBRARY") + set(CUR_STATIC_LIB_OBJ_DIR ${STATIC_LIB_TEMP_DIR}/$) + add_custom_command(TARGET onnxruntime-genai POST_BUILD + COMMAND ${CMAKE_COMMAND} -E make_directory ${CUR_STATIC_LIB_OBJ_DIR}) + + add_custom_command(TARGET onnxruntime-genai POST_BUILD + COMMAND ar ARGS -x $ + WORKING_DIRECTORY ${CUR_STATIC_LIB_OBJ_DIR}) + endif() + endforeach() + + # for external libraries we create a symlink to the .a file + foreach(_LIB ${EXTERNAL_LIBRARIES}) + GET_TARGET_PROPERTY(_LIB_TYPE ${_LIB} TYPE) + if(_LIB_TYPE STREQUAL "STATIC_LIBRARY") + add_custom_command(TARGET onnxruntime-genai POST_BUILD + COMMAND ${CMAKE_COMMAND} -E create_symlink + $ ${STATIC_LIB_DIR}/$) + endif() + endforeach() + + # do the pre-link with `ld -r` to create a single relocatable object with correct symbol visibility + add_custom_command(TARGET onnxruntime-genai POST_BUILD + COMMAND ld ARGS -r -o ${STATIC_LIB_DIR}/prelinked_objects.o */*.o ../*.a + WORKING_DIRECTORY ${STATIC_LIB_TEMP_DIR}) + + # create the static library + add_custom_command(TARGET onnxruntime-genai POST_BUILD + COMMAND libtool -static -o ${STATIC_FRAMEWORK_DIR}/onnxruntime-genai prelinked_objects.o + WORKING_DIRECTORY ${STATIC_LIB_DIR}) + + # Assemble the other pieces of the static framework + add_custom_command(TARGET onnxruntime-genai POST_BUILD + COMMAND ${CMAKE_COMMAND} -E + copy_if_different ${INFO_PLIST_PATH} ${STATIC_FRAMEWORK_DIR}/Info.plist) + + # add the framework header files + set(STATIC_FRAMEWORK_HEADER_DIR ${STATIC_FRAMEWORK_DIR}/Headers) + file(MAKE_DIRECTORY ${STATIC_FRAMEWORK_HEADER_DIR}) + + foreach(h_ ${ONNXRUNTIME_GENAI_PUBLIC_HEADERS}) + get_filename_component(HEADER_NAME_ ${h_} NAME) + add_custom_command(TARGET onnxruntime-genai POST_BUILD + COMMAND ${CMAKE_COMMAND} -E + copy_if_different ${h_} ${STATIC_FRAMEWORK_HEADER_DIR}/${HEADER_NAME_}) + endforeach() -include(CPack) \ No newline at end of file +endif() \ No newline at end of file diff --git a/cmake/presets/CMakeMacOSBuildPresets.json b/cmake/presets/CMakeMacOSBuildPresets.json index e27635e9c..d3634c3d2 100644 --- a/cmake/presets/CMakeMacOSBuildPresets.json +++ b/cmake/presets/CMakeMacOSBuildPresets.json @@ -5,8 +5,12 @@ ], "buildPresets": [ { - "name": "macos_cpu_release", - "configurePreset": "macos_cpu_release" + "name": "macos_x64_cpu_release", + "configurePreset": "macos_x64_cpu_release" + }, + { + "name": "macos_arm64_cpu_release", + "configurePreset": "macos_arm64_cpu_release" }, { "name": "macos_cpu_debug", diff --git a/cmake/presets/CMakeMacOSConfigPresets.json b/cmake/presets/CMakeMacOSConfigPresets.json index a425dc595..7de4f39a9 100644 --- a/cmake/presets/CMakeMacOSConfigPresets.json +++ b/cmake/presets/CMakeMacOSConfigPresets.json @@ -4,13 +4,12 @@ "CMakeLinuxDefaultConfigPresets.json" ], "configurePresets": [ - { + { "name": "macos_default", "generator": "Unix Makefiles", "binaryDir": "${sourceDir}/build/cpu", "cacheVariables": { "CMAKE_POSITION_INDEPENDENT_CODE": "ON", - "CMAKE_OSX_ARCHITECTURES": "arm64", "USE_CUDA": "OFF", "USE_ROCM": "OFF" }, @@ -87,6 +86,28 @@ "macos_default", "macos_minsizerel_default" ] + }, + { + "name": "macos_x64_cpu_release", + "inherits": [ + "macos_cpu_release" + ], + "cacheVariables": { + "CMAKE_OSX_ARCHITECTURES": "x86_64" + }, + "displayName": "macos x64 cpu release", + "binaryDir": "${sourceDir}/build/cpu/osx-x64" + }, + { + "name": "macos_arm64_cpu_release", + "inherits": [ + "macos_cpu_release" + ], + "cacheVariables": { + "CMAKE_OSX_ARCHITECTURES": "arm64" + }, + "displayName": "macos arm64 cpu release", + "binaryDir": "${sourceDir}/build/cpu/osx-arm64" } ] } \ No newline at end of file diff --git a/examples/c/.gitignore b/examples/c/.gitignore index 8bcf73af8..6f8fabd2e 100644 --- a/examples/c/.gitignore +++ b/examples/c/.gitignore @@ -1,3 +1,9 @@ build include/* lib/* +*.vcxproj +*.vcxproj.filters +*.sln +*.zip +*.tar.gz + diff --git a/examples/c/CMakeLists.txt b/examples/c/CMakeLists.txt index 56420786e..3ff3c5247 100644 --- a/examples/c/CMakeLists.txt +++ b/examples/c/CMakeLists.txt @@ -5,6 +5,9 @@ set(CMAKE_CXX_STANDARD 20) option(USE_CUDA "Build with CUDA support" OFF) option(USE_CXX "Invoke the C++ example" ON) +option(PHI3 "Build the Phi example" OFF) +option(PHI3V "Build the Phi3v example" OFF) +option(WHISPER "Build the Whisper example" OFF) if(USE_CXX) add_compile_definitions(USE_CXX) @@ -28,51 +31,39 @@ else() set(ONNXRUNTIME_GENAI_DEPENDENCY "*.so") endif() -add_executable(phi3 ${CMAKE_SOURCE_DIR}/src/main.cpp) -add_executable(phi3v ${CMAKE_SOURCE_DIR}/src/phi3v.cpp) +file(GLOB ort_genai_libs "${CMAKE_SOURCE_DIR}/lib/${ONNXRUNTIME_GENAI_DEPENDENCY}") +function(prepare_executable executable) + target_link_directories(${executable} PRIVATE ${ORT_GENAI_LIB_DIR}) + target_link_libraries(${executable} PRIVATE ${ONNXRUNTIME_GENAI_LIB}) + target_include_directories(${executable} PRIVATE ${CMAKE_SOURCE_DIR}/include) -target_link_directories(phi3 PRIVATE ${ORT_GENAI_LIB_DIR}) -target_link_libraries(phi3 PRIVATE ${ONNXRUNTIME_GENAI_LIB}) -target_include_directories(phi3 PRIVATE ${CMAKE_SOURCE_DIR}/include) -target_link_directories(phi3v PRIVATE ${ORT_GENAI_LIB_DIR}) -target_link_libraries(phi3v PRIVATE ${ONNXRUNTIME_GENAI_LIB}) -target_include_directories(phi3v PRIVATE ${CMAKE_SOURCE_DIR}/include) + if(USE_CUDA) + set_target_properties(${executable} PROPERTIES LINKER_LANGUAGE CUDA) + target_link_libraries(${executable} PRIVATE cublas curand cudart) + endif() -if(USE_CUDA) - set_target_properties(phi3 PROPERTIES LINKER_LANGUAGE CUDA) - set_target_properties(phi3v PROPERTIES LINKER_LANGUAGE CUDA) -endif() + target_link_libraries(${executable} PUBLIC onnxruntime-genai) -target_link_libraries( - phi3 - PUBLIC - onnxruntime-genai) -target_link_libraries( - phi3v - PUBLIC - onnxruntime-genai) + foreach(DLL_FILE ${ort_genai_libs}) + add_custom_command( + TARGET ${executable} POST_BUILD + COMMAND ${CMAKE_COMMAND} -E copy_if_different ${DLL_FILE} $ + ) + endforeach() +endfunction() -if(USE_CUDA) - target_link_libraries( - phi3 - PUBLIC - cublas curand cudart) - target_link_libraries( - phi3v - PUBLIC - cublas curand cudart) +if(PHI3) + add_executable(phi3 ${CMAKE_SOURCE_DIR}/src/phi3.cpp) + prepare_executable(phi3) endif() -file(GLOB ort_genai_libs "${CMAKE_SOURCE_DIR}/lib/${ONNXRUNTIME_GENAI_DEPENDENCY}") +if(PHI3V) + add_executable(phi3v ${CMAKE_SOURCE_DIR}/src/phi3v.cpp) + prepare_executable(phi3v) +endif() -foreach(DLL_FILE ${ort_genai_libs}) - add_custom_command( - TARGET phi3 POST_BUILD - COMMAND ${CMAKE_COMMAND} -E copy_if_different ${DLL_FILE} $ - ) - add_custom_command( - TARGET phi3v POST_BUILD - COMMAND ${CMAKE_COMMAND} -E copy_if_different ${DLL_FILE} $ - ) -endforeach() \ No newline at end of file +if(WHISPER) + add_executable(whisper ${CMAKE_SOURCE_DIR}/src/whisper.cpp) + prepare_executable(whisper) +endif() diff --git a/examples/c/README.md b/examples/c/README.md index fe4d8952c..a0889b541 100644 --- a/examples/c/README.md +++ b/examples/c/README.md @@ -2,67 +2,244 @@ ## Setup -Clone this repo and change into the examples/c folder. +Clone this repo and change into the `examples/c` folder. ```bash git clone https://github.com/microsoft/onnxruntime-genai.git cd onnxruntime-genai/examples/c ``` -## Download a model +If they don't already exist, create folders called `include` and `lib`. -This example uses the [Phi-3 mini model](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) and the [Phi-3 vision model](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) optimized to run on CPU. You can clone this entire model repository or download individual model variants. To download individual variants, you need to install the HuggingFace CLI. For example: +```bash +mkdir include +mkdir lib +``` + +## Phi-3 mini + +### Download model + +This example uses the [Phi-3 mini model](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct). + +You can clone this entire model repository or download individual model variants. To download individual variants, you need to install the HuggingFace CLI. ```bash huggingface-cli download microsoft/Phi-3-mini-4k-instruct-onnx --include cpu_and_mobile/cpu-int4-rtn-block-32-acc-level-4/* --local-dir . ``` -## Install the onnxruntime and onnxruntime-genai binaries +### Windows x64 CPU + +#### Install the onnxruntime and onnxruntime-genai binaries -### Windows +Change into the `onnxruntime-genai\examples\c` folder. +1. Install onnxruntime + + ```cmd + curl -L https://github.com/microsoft/onnxruntime/releases/download/v1.19.2/onnxruntime-win-x64-1.19.2.zip -o onnxruntime-win-x64-1.19.2.zip + tar xvf onnxruntime-win-x64-1.19.2.zip + copy onnxruntime-win-x64-1.19.2\include\* include + copy onnxruntime-win-x64-1.19.2\lib\* lib + ``` + +2. Install onnxruntime-genai + + ```cmd + curl -L https://github.com/microsoft/onnxruntime-genai/releases/download/v0.4.0/onnxruntime-genai-win-cpu-x64-capi.zip -o onnxruntime-genai-win-cpu-x64-capi.zip + tar xvf onnxruntime-genai-win-cpu-x64-capi.zip + cd onnxruntime-genai-win-cpu-x64-capi + tar xvf onnxruntime-genai-0.4.0-win-x64.zip + copy onnxruntime-genai-0.4.0-win-x64\include\* ..\include + copy onnxruntime-genai-0.4.0-win-x64\lib\* ..\lib + cd .. + ``` + +#### Build this sample + +```bash +cmake -A x64 -S . -B build -DPHI3=ON +cd build +cmake --build . --config Release ``` -curl -L https://github.com/microsoft/onnxruntime/releases/download/v1.18.1/onnxruntime-win-x64-1.18.1.zip -o onnxruntime-win-x64-1.18.1.zip -tar xvf onnxruntime-win-x64-1.18.1.zip -copy onnxruntime-win-x64-1.18.1\include\* include -copy onnxruntime-win-x64-1.18.1\lib\* lib -curl -L https://github.com/microsoft/onnxruntime-genai/releases/download/v0.3.0/onnxruntime-genai-0.3.0-win-x64.zip -o onnxruntime-genai-0.3.0-win-x64.zip -tar xvf onnxruntime-genai-0.3.0-win-x64.zip -copy onnxruntime-genai-0.3.0-win-x64\include\* include -copy onnxruntime-genai-0.3.0-win-x64\lib\* lib -``` -### Linux +#### Run the sample +```bash +cd Release +.\phi3.exe path_to_model ``` -curl -L https://github.com/microsoft/onnxruntime/releases/download/v1.18.1/onnxruntime-linux-x64-gpu-1.18.1.tgz -o onnxruntime-linux-x64-gpu-1.18.1.tgz -tar xvzf onnxruntime-linux-x64-gpu-1.18.1.tgz -cp onnxruntime-linux-x64-gpu-1.18.1/include/* include -cp onnxruntime-linux-x64-gpu-1.18.1/lib/* lib -curl -L https://github.com/microsoft/onnxruntime-genai/releases/download/v0.3.0/onnxruntime-genai-0.3.0-linux-x64.tar.gz -o onnxruntime-genai-0.3.0-linux-x64.tar.gz -tar xvzf onnxruntime-genai-0.3.0-linux-x64.tar.gz -cp onnxruntime-genai-0.3.0-linux-x64/include/* include -cp onnxruntime-genai-0.3.0-linux-x64/lib/* lib + +### Windows x64 DirectML + +#### Install the onnxruntime and onnxruntime-genai binaries + +Change into the `onnxruntime-genai\examples\c` folder. + +1. Install onnxruntime + + ```cmd + mkdir onnxruntime-win-x64-directml + cd onnxruntime-win-x64-directml + curl -L https://github.com/microsoft/onnxruntime/releases/download/v1.19.2/Microsoft.ML.OnnxRuntime.DirectML.1.19.2.nupkg -o Microsoft.ML.OnnxRuntime.DirectML.1.19.2.nupkg + tar xvf Microsoft.ML.OnnxRuntime.DirectML.1.19.2.nupkg + copy build\native\include\* ..\include + copy runtimes\win-x64\native\* ..\lib + cd .. + ``` + +2. Install onnxruntime-genai + + ```cmd + curl -L https://github.com/microsoft/onnxruntime-genai/releases/download/v0.4.0/onnxruntime-genai-win-directml-x64-capi.zip -o onnxruntime-genai-win-directml-x64-capi.zip + tar xvf onnxruntime-genai-win-directml-x64-capi.zip + cd onnxruntime-genai-win-directml-x64-capi + tar xvf onnxruntime-genai-0.4.0-win-x64-dml.zip + copy onnxruntime-genai-0.4.0-win-x64-dml\include\* ..\include + copy onnxruntime-genai-0.4.0-win-x64-dml\lib\* ..\lib + cd .. + ``` + +#### Build this sample + +```bash +cmake -A x64 -S . -B build -DPHI3=ON +cd build +cmake --build . --config Release ``` -## Build this sample +#### Run the sample + +```bash +cd Release +.\phi3.exe path_to_model +``` + +### Windows arm64 CPU + +#### Install the onnxruntime and onnxruntime-genai binaries + +Change into the `onnxruntime-genai\examples\c` folder. + +1. Install onnxruntime + + ```cmd + curl -L https://github.com/microsoft/onnxruntime/releases/download/v1.19.2/onnxruntime-win-arm64-1.19.2.zip -o onnxruntime-win-arm64-1.19.2.zip + tar xvf onnxruntime-win-arm64-1.19.2.zip + copy onnxruntime-win-arm64-1.19.2\include\* include + copy onnxruntime-win-arm64-1.19.2\lib\* lib + ``` + +2. Install onnxruntime-genai + + ```cmd + curl -L https://github.com/microsoft/onnxruntime-genai/releases/download/v0.4.0/onnxruntime-genai-win-cpu-arm64-capi.zip -o onnxruntime-genai-win-cpu-arm64-capi.zip + tar xvf onnxruntime-genai-win-cpu-arm64-capi.zip + cd onnxruntime-genai-win-cpu-arm64-capi + tar xvf onnxruntime-genai-0.4.0-win-arm64.zip + copy onnxruntime-genai-0.4.0-win-arm64\include\* ..\include + copy onnxruntime-genai-0.4.0-win-arm64\lib\* ..\lib + cd .. + ``` + +#### Build this sample + +```bash +cmake -A arm64 -S . -B build -DPHI3=ON +cd build +cmake --build . --config Release +``` + +#### Run the sample + +```bash +cd Release +.\phi3.exe path_to_model +``` + +### Windows arm64 DirectML + +#### Install the onnxruntime and onnxruntime-genai binaries + +Change into the `onnxruntime-genai\examples\c` folder. + +1. Install onnxruntime + + ```cmd + mkdir onnxruntime-win-arm64-directml + cd onnxruntime-win-arm64-directml + curl -L https://github.com/microsoft/onnxruntime/releases/download/v1.19.2/Microsoft.ML.OnnxRuntime.DirectML.1.19.2.nupkg -o Microsoft.ML.OnnxRuntime.DirectML.1.19.2.nupkg + tar xvf Microsoft.ML.OnnxRuntime.DirectML.1.19.2.nupkg + copy build\native\include\* ..\include + copy runtimes\win-arm64\native\* ..\lib + cd .. + ``` + +2. Install onnxruntime-genai + + ```cmd + curl -L https://github.com/microsoft/onnxruntime-genai/releases/download/v0.4.0/onnxruntime-genai-win-directml-arm64-capi.zip -o onnxruntime-genai-win-directml-arm64-capi.zip + tar xvf onnxruntime-genai-win-directml-arm64-capi.zip + cd onnxruntime-genai-win-directml-arm64-capi + tar xvf onnxruntime-genai-0.4.0-win-arm64-dml.zip + copy onnxruntime-genai-0.4.0-win-arm64-dml\include\* ..\include + copy onnxruntime-genai-0.4.0-win-arm64-dml\lib\* ..\lib + cd .. + ``` -### Windows +#### Build this sample ```bash -cmake -G "Visual Studio 17 2022" -A x64 -S . -B build +cmake -A arm64 -S . -B build -DPHI3=ON cd build cmake --build . --config Release ``` +#### Run the sample + +```bash +cd Release +.\phi3.exe path_to_model +``` + ### Linux +#### Install the onnxruntime and onnxruntime-genai binaries + +Change into the onnxruntime-genai directory. + +1. Install onnxruntime + + ```bash + cd examples/c + curl -L https://github.com/microsoft/onnxruntime/releases/download/v1.19.2/onnxruntime-linux-x64-1.19.2.tgz -o onnxruntime-linux-x64-1.19.2.tgz + tar xvzf onnxruntime-linux-x64-1.19.2.tgz + cp onnxruntime-linux-x64-1.19.2/include/* include + cp onnxruntime-linux-x64-1.19.2/lib/* lib + cd ../.. + ``` + +2. Build onnxruntime-genai from source and install + + This example requires onnxruntime-genai to be built from source. + + ```bash + # This should be run from the root of the onnxruntime-genai folder + python build.py --config Release --ort_home examples/c + cp src/ort_genai.h examples/c/include + cp src/ort_genai_c.h examples/c/include + cp build/Linux/Release/libonnxruntime-genai.so examples/c/lib + cd examples/c + ``` + +#### Build this sample + Build with CUDA: ```bash mkdir build cd build -cmake ../ -DCMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc -DCMAKE_CUDA_ARCHITECTURES=80 -DUSE_CUDA=ON +cmake ../ -DCMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc -DCMAKE_CUDA_ARCHITECTURES=80 -DUSE_CUDA=ON -DPHI3=ON cmake --build . --config Release ``` @@ -71,23 +248,124 @@ Build for CPU: ```bash mkdir build cd build -cmake ../ +cmake .. -DPHI3=ON cmake --build . --config Release ``` -## Run the sample +#### Run the sample + +```bash +./phi3 path_to_model +``` + +## Phi-3 vision + +### Download model + +You can use one of the following models for this sample: +* [Phi-3 vision model for CPU](https://huggingface.co/microsoft/Phi-3-vision-128k-instruct-onnx-cpu) +* [Phi-3 vision model for CUDA](https://huggingface.co/microsoft/Phi-3-vision-128k-instruct-onnx-cuda) +* [Phi-3 vision model for DirectML](https://huggingface.co/microsoft/Phi-3-vision-128k-instruct-onnx-directml) + +Clone one of the models above. + +### Run on Windows + +#### Install the required headers and binaries -### Run the language model +Change into the onnxruntime-genai folder. + +1. Install onnxruntime + + ```cmd + cd examples\c + curl -L https://github.com/microsoft/onnxruntime/releases/download/v1.19.2/onnxruntime-win-x64-1.19.2.zip -o onnxruntime-win-x64-1.19.2.zip + tar xvf onnxruntime-win-x64-1.19.2.zip + copy onnxruntime-win-x64-1.19.2\include\* include + copy onnxruntime-win-x64-1.19.2\lib\* lib + ``` + +2. Install onnxruntime-genai + + This example requires onnxruntime-genai to be built from source. + + ```cmd + cd ..\.. + python build.py --config Release --ort_home examples\c + copy src\ort_genai.h examples\c\include + copy src\ort_genai_c.h examples\c\include + copy build\Windows\Release\Release\*.dll examples\c\lib + copy build\Windows\Release\Release\*.lib examples\c\lib + cd examples\c + ``` + +#### Build this sample ```bash -cd build\\Release -.\phi3.exe path_to_model +cmake -G "Visual Studio 17 2022" -A x64 -S . -B build -DPHI3V=ON +cd build +cmake --build . --config Release ``` -### Run the vision model +#### Run the sample ```bash -cd build\\Release +cd Release .\phi3v.exe path_to_model ``` +### Run on Linux + +#### Install the required headers and binaries + +Change into the onnxruntime-genai directory. + +1. Install onnxruntime + + ```bash + cd examples/c + curl -L https://github.com/microsoft/onnxruntime/releases/download/v1.19.2/onnxruntime-linux-x64-1.19.2.tgz -o onnxruntime-linux-x64-1.19.2.tgz + tar xvzf onnxruntime-linux-x64-1.19.2.tgz + cp onnxruntime-linux-x64-1.19.2/include/* include + cp onnxruntime-linux-x64-1.19.2/lib/* lib + cd ../.. + ``` + +2. Build onnxruntime-genai from source and install + + This example requires onnxruntime-genai to be built from source. + + ```bash + # This should be run from the root of the onnxruntime-genai folder + python build.py --config Release --ort_home examples/c + cp src/ort_genai.h examples/c/include + cp src/ort_genai_c.h examples/c/include + cp build/Linux/Release/libonnxruntime-genai.so examples/c/lib + cd examples/c + ``` + +#### Build this sample + +Build to run with CUDA: + +```bash +cmake . -B build -DCMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc -DCMAKE_CUDA_ARCHITECTURES=80 -DUSE_CUDA=ON -DPHI3V=ON +cd build +cmake --build . --config Release +``` + +Build for CPU: + +```bash +cmake . -B build -DPHI3V=ON +cd build +cmake --build . --config Release +``` + +#### Run the sample + +```bash +cd build/Release +./phi3v path_to_model +``` + diff --git a/examples/c/src/main.cpp b/examples/c/src/phi3.cpp similarity index 51% rename from examples/c/src/main.cpp rename to examples/c/src/phi3.cpp index 5017108e6..ea1562593 100644 --- a/examples/c/src/main.cpp +++ b/examples/c/src/phi3.cpp @@ -1,10 +1,68 @@ // Copyright (c) Microsoft Corporation. All rights reserved. // Licensed under the MIT License. +#include +#include +#include #include #include #include "ort_genai.h" +using Clock = std::chrono::high_resolution_clock; +using TimePoint = std::chrono::time_point; +using Duration = std::chrono::duration; + +// `Timing` is a utility class for measuring performance metrics. +class Timing { + public: + Timing(const Timing&) = delete; + Timing& operator=(const Timing&) = delete; + + Timing() = default; + + ~Timing() = default; + + void RecordStartTimestamp() { + assert(start_timestamp_.time_since_epoch().count() == 0); + start_timestamp_ = Clock::now(); + } + + void RecordFirstTokenTimestamp() { + assert(first_token_timestamp_.time_since_epoch().count() == 0); + first_token_timestamp_ = Clock::now(); + } + + void RecordEndTimestamp() { + assert(end_timestamp_.time_since_epoch().count() == 0); + end_timestamp_ = Clock::now(); + } + + void Log(const int prompt_tokens_length, const int new_tokens_length) { + assert(start_timestamp_.time_since_epoch().count() != 0); + assert(first_token_timestamp_.time_since_epoch().count() != 0); + assert(end_timestamp_.time_since_epoch().count() != 0); + + Duration prompt_time = (first_token_timestamp_ - start_timestamp_); + Duration run_time = (end_timestamp_ - first_token_timestamp_); + + const auto default_precision{std::cout.precision()}; + std::cout << std::endl; + std::cout << "-------------" << std::endl; + std::cout << std::fixed << std::showpoint << std::setprecision(2) + << "Prompt length: " << prompt_tokens_length << ", New tokens: " << new_tokens_length + << ", Time to first: " << prompt_time.count() << "s" + << ", Prompt tokens per second: " << prompt_tokens_length / prompt_time.count() << " tps" + << ", New tokens per second: " << new_tokens_length / run_time.count() << " tps" + << std::setprecision(default_precision) << std::endl; + std::cout << "-------------" << std::endl; + } + + private: + TimePoint start_timestamp_; + TimePoint first_token_timestamp_; + TimePoint end_timestamp_; +}; + // C++ API Example void CXX_API(const char* model_path) { @@ -16,11 +74,19 @@ void CXX_API(const char* model_path) { while (true) { std::string text; - std::cout << "Prompt: " << std::endl; + std::cout << "Prompt: (Use quit() to exit)" << std::endl; std::getline(std::cin, text); + if (text == "quit()") { + break; // Exit the loop + } + const std::string prompt = "<|user|>\n" + text + "<|end|>\n<|assistant|>"; + bool is_first_token = true; + Timing timing; + timing.RecordStartTimestamp(); + auto sequences = OgaSequences::Create(); tokenizer->Encode(prompt.c_str(), *sequences); @@ -35,11 +101,34 @@ void CXX_API(const char* model_path) { generator->ComputeLogits(); generator->GenerateNextToken(); + if (is_first_token) { + timing.RecordFirstTokenTimestamp(); + is_first_token = false; + } + + // Show usage of GetOutput + std::unique_ptr output_logits = generator->GetOutput("logits"); + + // Assuming output_logits.Type() is float as it's logits + // Assuming shape is 1 dimensional with shape[0] being the size + auto logits = reinterpret_cast(output_logits->Data()); + + // Print out the logits using the following snippet, if needed + //auto shape = output_logits->Shape(); + //for (size_t i=0; i < shape[0]; i++) + // std::cout << logits[i] << " "; + //std::cout << std::endl; + const auto num_tokens = generator->GetSequenceCount(0); const auto new_token = generator->GetSequenceData(0)[num_tokens - 1]; std::cout << tokenizer_stream->Decode(new_token) << std::flush; } + timing.RecordEndTimestamp(); + const int prompt_tokens_length = sequences->SequenceCount(0); + const int new_tokens_length = generator->GetSequenceCount(0) - prompt_tokens_length; + timing.Log(prompt_tokens_length, new_tokens_length); + for (int i = 0; i < 3; ++i) std::cout << std::endl; } @@ -69,11 +158,19 @@ void C_API(const char* model_path) { while (true) { std::string text; - std::cout << "Prompt: " << std::endl; + std::cout << "Prompt: (Use quit() to exit)" << std::endl; std::getline(std::cin, text); + if (text == "quit()") { + break; // Exit the loop + } + const std::string prompt = "<|user|>\n" + text + "<|end|>\n<|assistant|>"; + bool is_first_token = true; + Timing timing; + timing.RecordStartTimestamp(); + OgaSequences* sequences; CheckResult(OgaCreateSequences(&sequences)); CheckResult(OgaTokenizerEncode(tokenizer, prompt.c_str(), sequences)); @@ -91,6 +188,11 @@ void C_API(const char* model_path) { CheckResult(OgaGenerator_ComputeLogits(generator)); CheckResult(OgaGenerator_GenerateNextToken(generator)); + if (is_first_token) { + timing.RecordFirstTokenTimestamp(); + is_first_token = false; + } + const int32_t num_tokens = OgaGenerator_GetSequenceCount(generator, 0); int32_t new_token = OgaGenerator_GetSequenceData(generator, 0)[num_tokens - 1]; const char* new_token_string; @@ -98,6 +200,11 @@ void C_API(const char* model_path) { std::cout << new_token_string << std::flush; } + timing.RecordEndTimestamp(); + const int prompt_tokens_length = OgaSequencesGetSequenceCount(sequences, 0); + const int new_tokens_length = OgaGenerator_GetSequenceCount(generator, 0) - prompt_tokens_length; + timing.Log(prompt_tokens_length, new_tokens_length); + for (int i = 0; i < 3; ++i) std::cout << std::endl; diff --git a/examples/c/src/phi3v.cpp b/examples/c/src/phi3v.cpp index 69cd9ef33..9d78be599 100644 --- a/examples/c/src/phi3v.cpp +++ b/examples/c/src/phi3v.cpp @@ -135,6 +135,7 @@ void C_API(const char* model_path) { OgaStringArray* image_paths_string_array; CheckResult(OgaCreateStringArrayFromStrings(image_paths_c.data(), image_paths_c.size(), &image_paths_string_array)); CheckResult(OgaLoadImages(image_paths_string_array, &images)); + OgaDestroyStringArray(image_paths_string_array); } std::string text; diff --git a/examples/c/src/whisper.cpp b/examples/c/src/whisper.cpp new file mode 100644 index 000000000..8125f59b9 --- /dev/null +++ b/examples/c/src/whisper.cpp @@ -0,0 +1,232 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +#include +#include +#include +#include + +#include "ort_genai.h" + +bool FileExists(const char* path) { + return static_cast(std::ifstream(path)); +} + +std::string trim(const std::string& str) { + const size_t first = str.find_first_not_of(' '); + if (std::string::npos == first) { + return str; + } + const size_t last = str.find_last_not_of(' '); + return str.substr(first, (last - first + 1)); +} + +// C++ API Example + +void CXX_API(const char* model_path, int32_t num_beams) { + std::cout << "Creating model..." << std::endl; + auto model = OgaModel::Create(model_path); + std::cout << "Creating multimodal processor..." << std::endl; + auto processor = OgaMultiModalProcessor::Create(*model); + std::cout << "Creating tokenizer..." << std::endl; + auto tokenizer = OgaTokenizer::Create(*model); + + while (true) { + std::string audio_paths_str; + std::cout << "Audio Paths (comma separated):" << std::endl; + std::getline(std::cin, audio_paths_str); + std::unique_ptr audios; + std::vector audio_paths; + for (size_t start = 0, end = 0; end < audio_paths_str.size(); start = end + 1) { + end = audio_paths_str.find(',', start); + audio_paths.push_back(trim(audio_paths_str.substr(start, end - start))); + } + if (audio_paths.empty()) { + throw std::runtime_error("No audio file provided."); + } else { + std::cout << "Loading audios..." << std::endl; + for (const auto& audio_path : audio_paths) { + if (!FileExists(audio_path.c_str())) { + throw std::runtime_error(std::string("Audio file not found: ") + audio_path); + } + } + std::vector audio_paths_c; + for (const auto& audio_path : audio_paths) audio_paths_c.push_back(audio_path.c_str()); + audios = OgaAudios::Load(audio_paths_c); + } + + std::cout << "Processing audio..." << std::endl; + auto mel = processor->ProcessAudios(audios.get()); + const std::vector prompt_tokens = {"<|startoftranscript|>", "<|en|>", "<|transcribe|>", + "<|notimestamps|>"}; + auto input_ids = OgaSequences::Create(); + const size_t batch_size = audio_paths.size(); + for (size_t i = 0; i < batch_size; ++i) { + for (const auto& token : prompt_tokens) { + input_ids->Append(tokenizer->ToTokenId(token), i); + } + } + + std::cout << "Generating response..." << std::endl; + auto params = OgaGeneratorParams::Create(*model); + params->SetSearchOption("max_length", 256); + params->SetSearchOptionBool("do_sample", false); + params->SetSearchOption("num_beams", num_beams); + params->SetSearchOption("num_return_sequences", num_beams); + params->SetInputs(*mel); + params->SetInputSequences(*input_ids); + + auto generator = OgaGenerator::Create(*model, *params); + + while (!generator->IsDone()) { + generator->ComputeLogits(); + generator->GenerateNextToken(); + } + + for (size_t i = 0; i < static_cast(num_beams * batch_size); ++i) { + std::cout << "Transcription:" << std::endl; + std::cout << " batch " << i / num_beams << ", beam " << i % num_beams << ":"; + const auto num_tokens = generator->GetSequenceCount(i); + const auto tokens = generator->GetSequenceData(i); + std::cout << processor->Decode(tokens, num_tokens) << std::endl; + } + + for (int i = 0; i < 3; ++i) + std::cout << std::endl; + } +} + +// C API Example + +void CheckResult(OgaResult* result) { + if (result) { + std::string string = OgaResultGetError(result); + OgaDestroyResult(result); + throw std::runtime_error(string); + } +} + +void C_API(const char* model_path, int32_t num_beams) { + OgaModel* model; + std::cout << "Creating model..." << std::endl; + CheckResult(OgaCreateModel(model_path, &model)); + + OgaMultiModalProcessor* processor; + std::cout << "Creating multimodal processor..." << std::endl; + CheckResult(OgaCreateMultiModalProcessor(model, &processor)); + OgaTokenizer* tokenizer; + std::cout << "Creating tokenizer..." << std::endl; + CheckResult(OgaCreateTokenizer(model, &tokenizer)); + + while (true) { + std::string audio_paths_str; + std::cout << "Audio Paths (comma separated):" << std::endl; + std::getline(std::cin, audio_paths_str); + OgaAudios* audios = nullptr; + std::vector audio_paths; + for (size_t start = 0, end = 0; end < audio_paths_str.size(); start = end + 1) { + end = audio_paths_str.find(',', start); + audio_paths.push_back(trim(audio_paths_str.substr(start, end - start))); + } + if (audio_paths.empty()) { + throw std::runtime_error("No audio file provided."); + } else { + std::cout << "Loading audios..." << std::endl; + for (const auto& audio_path : audio_paths) { + if (!FileExists(audio_path.c_str())) { + throw std::runtime_error(std::string("Audio file not found: ") + audio_path); + } + std::vector audio_paths_c; + for (const auto& audio_path : audio_paths) audio_paths_c.push_back(audio_path.c_str()); + OgaStringArray* audio_paths_string_array; + CheckResult(OgaCreateStringArrayFromStrings(audio_paths_c.data(), audio_paths_c.size(), &audio_paths_string_array)); + CheckResult(OgaLoadAudios(audio_paths_string_array, &audios)); + OgaDestroyStringArray(audio_paths_string_array); + } + } + + std::cout << "Processing audio..." << std::endl; + OgaNamedTensors* mel; + CheckResult(OgaProcessorProcessAudios(processor, audios, &mel)); + const std::vector prompt_tokens = {"<|startoftranscript|>", "<|en|>", "<|transcribe|>", + "<|notimestamps|>"}; + OgaSequences* input_ids; + CheckResult(OgaCreateSequences(&input_ids)); + const size_t batch_size = audio_paths.size(); + for (size_t i = 0; i < batch_size; ++i) { + for (const auto& token : prompt_tokens) { + int32_t token_id; + CheckResult(OgaTokenizerToTokenId(tokenizer, token, &token_id)); + CheckResult(OgaAppendTokenToSequence(token_id, input_ids, i)); + } + } + + std::cout << "Generating response..." << std::endl; + OgaGeneratorParams* params; + CheckResult(OgaCreateGeneratorParams(model, ¶ms)); + CheckResult(OgaGeneratorParamsSetSearchNumber(params, "max_length", 256)); + CheckResult(OgaGeneratorParamsSetSearchBool(params, "do_sample", false)); + CheckResult(OgaGeneratorParamsSetSearchNumber(params, "num_beams", num_beams)); + CheckResult(OgaGeneratorParamsSetSearchNumber(params, "num_return_sequences", num_beams)); + CheckResult(OgaGeneratorParamsSetInputs(params, mel)); + CheckResult(OgaGeneratorParamsSetInputSequences(params, input_ids)); + + OgaGenerator* generator; + CheckResult(OgaCreateGenerator(model, params, &generator)); + + while (!OgaGenerator_IsDone(generator)) { + CheckResult(OgaGenerator_ComputeLogits(generator)); + CheckResult(OgaGenerator_GenerateNextToken(generator)); + } + + for (size_t i = 0; i < static_cast(num_beams * batch_size); ++i) { + std::cout << "Transcription:" << std::endl; + std::cout << " batch " << i / num_beams << ", beam " << i % num_beams << ":"; + const int32_t num_tokens = OgaGenerator_GetSequenceCount(generator, i); + const int32_t* tokens = OgaGenerator_GetSequenceData(generator, i); + + const char* str; + CheckResult(OgaProcessorDecode(processor, tokens, num_tokens, &str)); + std::cout << str << std::endl; + } + + for (int i = 0; i < 3; ++i) + std::cout << std::endl; + + OgaDestroyGenerator(generator); + OgaDestroyGeneratorParams(params); + OgaDestroySequences(input_ids); + OgaDestroyNamedTensors(mel); + OgaDestroyAudios(audios); + } + + OgaDestroyTokenizer(tokenizer); + OgaDestroyMultiModalProcessor(processor); + OgaDestroyModel(model); +} + +static void print_usage(int /*argc*/, char** argv) { + std::cerr << "usage: " << argv[0] << " " + << "" << std::endl; +} + +int main(int argc, char** argv) { + if (argc != 3) { + print_usage(argc, argv); + return -1; + } + + std::cout << "---------------" << std::endl; + std::cout << "Hello, Whisper!" << std::endl; + std::cout << "---------------" << std::endl; + +#ifdef USE_CXX + std::cout << "C++ API" << std::endl; + CXX_API(argv[1], std::stoi(argv[2])); +#else + std::cout << "C API" << std::endl; + C_API(argv[1], std::stoi(argv[2])); +#endif + + return 0; +} \ No newline at end of file diff --git a/examples/csharp/Genny/Genny/Genny.csproj b/examples/csharp/Genny/Genny/Genny.csproj index 1aad829e8..10a39d7e2 100644 --- a/examples/csharp/Genny/Genny/Genny.csproj +++ b/examples/csharp/Genny/Genny/Genny.csproj @@ -13,9 +13,9 @@ - - - + + + diff --git a/examples/csharp/HelloPhi/HelloPhi.csproj b/examples/csharp/HelloPhi/HelloPhi.csproj index 083a2d89e..1ee51abef 100644 --- a/examples/csharp/HelloPhi/HelloPhi.csproj +++ b/examples/csharp/HelloPhi/HelloPhi.csproj @@ -6,12 +6,13 @@ enable enable Debug;Release;Debug_Cuda;Release_Cuda;Debug_DirectML;Release_DirectML + AnyCPU;x64 - - - + + + diff --git a/examples/csharp/HelloPhi/HelloPhi.sln b/examples/csharp/HelloPhi/HelloPhi.sln index ed4468ddc..2caee7ca4 100644 --- a/examples/csharp/HelloPhi/HelloPhi.sln +++ b/examples/csharp/HelloPhi/HelloPhi.sln @@ -8,25 +8,43 @@ EndProject Global GlobalSection(SolutionConfigurationPlatforms) = preSolution Debug_Cuda|Any CPU = Debug_Cuda|Any CPU + Debug_Cuda|x64 = Debug_Cuda|x64 Debug_DirectML|Any CPU = Debug_DirectML|Any CPU + Debug_DirectML|x64 = Debug_DirectML|x64 Debug|Any CPU = Debug|Any CPU + Debug|x64 = Debug|x64 Release_Cuda|Any CPU = Release_Cuda|Any CPU + Release_Cuda|x64 = Release_Cuda|x64 Release_DirectML|Any CPU = Release_DirectML|Any CPU + Release_DirectML|x64 = Release_DirectML|x64 Release|Any CPU = Release|Any CPU + Release|x64 = Release|x64 EndGlobalSection GlobalSection(ProjectConfigurationPlatforms) = postSolution {89932021-18FC-490C-8675-73F2AD1DEB2A}.Debug_Cuda|Any CPU.ActiveCfg = Debug_Cuda|Any CPU {89932021-18FC-490C-8675-73F2AD1DEB2A}.Debug_Cuda|Any CPU.Build.0 = Debug_Cuda|Any CPU + {89932021-18FC-490C-8675-73F2AD1DEB2A}.Debug_Cuda|x64.ActiveCfg = Debug_Cuda|x64 + {89932021-18FC-490C-8675-73F2AD1DEB2A}.Debug_Cuda|x64.Build.0 = Debug_Cuda|x64 {89932021-18FC-490C-8675-73F2AD1DEB2A}.Debug_DirectML|Any CPU.ActiveCfg = Debug_DirectML|Any CPU {89932021-18FC-490C-8675-73F2AD1DEB2A}.Debug_DirectML|Any CPU.Build.0 = Debug_DirectML|Any CPU + {89932021-18FC-490C-8675-73F2AD1DEB2A}.Debug_DirectML|x64.ActiveCfg = Debug_DirectML|x64 + {89932021-18FC-490C-8675-73F2AD1DEB2A}.Debug_DirectML|x64.Build.0 = Debug_DirectML|x64 {89932021-18FC-490C-8675-73F2AD1DEB2A}.Debug|Any CPU.ActiveCfg = Debug|Any CPU {89932021-18FC-490C-8675-73F2AD1DEB2A}.Debug|Any CPU.Build.0 = Debug|Any CPU + {89932021-18FC-490C-8675-73F2AD1DEB2A}.Debug|x64.ActiveCfg = Debug|x64 + {89932021-18FC-490C-8675-73F2AD1DEB2A}.Debug|x64.Build.0 = Debug|x64 {89932021-18FC-490C-8675-73F2AD1DEB2A}.Release_Cuda|Any CPU.ActiveCfg = Release_Cuda|Any CPU {89932021-18FC-490C-8675-73F2AD1DEB2A}.Release_Cuda|Any CPU.Build.0 = Release_Cuda|Any CPU + {89932021-18FC-490C-8675-73F2AD1DEB2A}.Release_Cuda|x64.ActiveCfg = Release_Cuda|x64 + {89932021-18FC-490C-8675-73F2AD1DEB2A}.Release_Cuda|x64.Build.0 = Release_Cuda|x64 {89932021-18FC-490C-8675-73F2AD1DEB2A}.Release_DirectML|Any CPU.ActiveCfg = Release_DirectML|Any CPU {89932021-18FC-490C-8675-73F2AD1DEB2A}.Release_DirectML|Any CPU.Build.0 = Release_DirectML|Any CPU + {89932021-18FC-490C-8675-73F2AD1DEB2A}.Release_DirectML|x64.ActiveCfg = Release_DirectML|x64 + {89932021-18FC-490C-8675-73F2AD1DEB2A}.Release_DirectML|x64.Build.0 = Release_DirectML|x64 {89932021-18FC-490C-8675-73F2AD1DEB2A}.Release|Any CPU.ActiveCfg = Release|Any CPU {89932021-18FC-490C-8675-73F2AD1DEB2A}.Release|Any CPU.Build.0 = Release|Any CPU + {89932021-18FC-490C-8675-73F2AD1DEB2A}.Release|x64.ActiveCfg = Release|x64 + {89932021-18FC-490C-8675-73F2AD1DEB2A}.Release|x64.Build.0 = Release|x64 EndGlobalSection GlobalSection(SolutionProperties) = preSolution HideSolutionNode = FALSE diff --git a/examples/csharp/HelloPhi/Program.cs b/examples/csharp/HelloPhi/Program.cs index 82576c1ad..26e20a353 100644 --- a/examples/csharp/HelloPhi/Program.cs +++ b/examples/csharp/HelloPhi/Program.cs @@ -76,6 +76,7 @@ void PrintUsage() var sequences = tokenizer.Encode($"<|user|>{prompt}<|end|><|assistant|>"); using GeneratorParams generatorParams = new GeneratorParams(model); + generatorParams.SetSearchOption("min_length", 50); generatorParams.SetSearchOption("max_length", 200); generatorParams.SetInputSequences(sequences); if (option == 1) // Complete Output diff --git a/examples/python/awq-quantized-model.py b/examples/python/awq-quantized-model.py index 17262c0b7..b0be037b1 100644 --- a/examples/python/awq-quantized-model.py +++ b/examples/python/awq-quantized-model.py @@ -30,6 +30,19 @@ def parse_args(): help="Folder to save AWQ-quantized ONNX model and associated files in", ) + parser.add_argument( + "-e", + "--execution_provider", + default="cuda", + help="Target execution provider to apply quantization (e.g. dml, cuda)", + ) + + parser.add_argument( + "--use_qdq", + action="store_true", + help="Use the QDQ decomposition for quantized MatMul instead of the MatMulNBits operator", + ) + args = parser.parse_args() return args @@ -108,13 +121,18 @@ def main(): input_folder = args.quant_path output_folder = args.output_path precision = "int4" - execution_provider = "cuda" + execution_provider = args.execution_provider cache_dir = os.path.join(".", "cache_dir") - create_model(model_name, input_folder, output_folder, precision, execution_provider, cache_dir) + extra_options = { + "use_qdq": args.use_qdq, + } + + create_model(model_name, input_folder, output_folder, precision, execution_provider, cache_dir, **extra_options) # Run ONNX model - run_model(args) + if args.execution_provider != "dml": + run_model(args) if __name__ == "__main__": main() diff --git a/examples/python/phi3v.py b/examples/python/phi3v.py index df5dddcfb..fd92dbd93 100644 --- a/examples/python/phi3v.py +++ b/examples/python/phi3v.py @@ -8,7 +8,6 @@ import onnxruntime_genai as og - def _complete(text, state): return (glob.glob(text + "*") + [None])[state] @@ -29,9 +28,10 @@ def run(args: argparse.Namespace): "Image Path (comma separated; leave empty if no image): " ).split(",") ] + image_paths = [image_path for image_path in image_paths if len(image_path)] print(image_paths) - image = None + images = None prompt = "<|user|>\n" if len(image_paths) == 0: print("No image provided") diff --git a/examples/python/whisper.py b/examples/python/whisper.py new file mode 100644 index 000000000..581f6bd28 --- /dev/null +++ b/examples/python/whisper.py @@ -0,0 +1,86 @@ +# Copyright (c) Microsoft Corporation. All rights reserved. +# Licensed under the MIT License + +import argparse +import glob +import os +import readline + +import onnxruntime_genai as og + + +def _complete(text, state): + return (glob.glob(text + "*") + [None])[state] + + +class Format: + end = "\033[0m" + underline = "\033[4m" + + +def run(args: argparse.Namespace): + print("Loading model...") + model = og.Model(args.model_path) + processor = model.create_multimodal_processor() + tokenizer = og.Tokenizer(model) + + while True: + readline.set_completer_delims(" \t\n;") + readline.parse_and_bind("tab: complete") + readline.set_completer(_complete) + audio_paths = [audio_path.strip() for audio_path in input("Audio Paths (comma separated): ").split(",")] + if len(audio_paths) == 0: + raise ValueError("No audio provided.") + + print("Loading audio...") + for audio_path in audio_paths: + if not os.path.exists(audio_path): + raise FileNotFoundError(f"Audio file not found: {audio_path}") + audios = og.Audios.open(*audio_paths) + + print("Processing audio...") + mel = processor(audios=audios) + decoder_prompt_tokens = ["<|startoftranscript|>", "<|en|>", "<|transcribe|>", "<|notimestamps|>"] + + params = og.GeneratorParams(model) + params.set_search_options( + do_sample=False, + num_beams=args.num_beams, + num_return_sequences=args.num_beams, + max_length=256, + ) + + batch_size = len(audio_paths) + params.set_inputs(mel) + params.input_ids = [[tokenizer.to_token_id(token) for token in decoder_prompt_tokens]] * batch_size + + generator = og.Generator(model, params) + + while not generator.is_done(): + generator.compute_logits() + generator.generate_next_token() + + print() + for i in range(batch_size * args.num_beams): + tokens = generator.get_sequence(i) + transcription = processor.decode(tokens) + + print(f"Transcription:") + print( + f" {Format.underline}batch {i // args.num_beams}, beam {i % args.num_beams}{Format.end}: {transcription}" + ) + + for _ in range(3): + print() + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument( + "-m", "--model_path", type=str, required=True, help="Path to the model" + ) + parser.add_argument( + "-b", "--num_beams", type=int, default=4, help="Number of beams" + ) + args = parser.parse_args() + run(args) diff --git a/nuget/Microsoft.ML.OnnxRuntimeGenAI.Managed.nuspec b/nuget/Microsoft.ML.OnnxRuntimeGenAI.Managed.nuspec index f4d06bc0a..1bd50e0fc 100644 --- a/nuget/Microsoft.ML.OnnxRuntimeGenAI.Managed.nuspec +++ b/nuget/Microsoft.ML.OnnxRuntimeGenAI.Managed.nuspec @@ -15,6 +15,9 @@ + + + @@ -27,6 +30,16 @@ + + + + + + + + + + diff --git a/nuget/targets/net8.0-android/Microsoft.ML.OnnxRuntimeGenAI.targets b/nuget/targets/net8.0-android/Microsoft.ML.OnnxRuntimeGenAI.targets new file mode 100644 index 000000000..a5b44939c --- /dev/null +++ b/nuget/targets/net8.0-android/Microsoft.ML.OnnxRuntimeGenAI.targets @@ -0,0 +1,8 @@ + + + + + %(Filename)%(Extension) + + + \ No newline at end of file diff --git a/nuget/targets/net8.0-ios/Microsoft.ML.OnnxRuntimeGenAI.targets b/nuget/targets/net8.0-ios/Microsoft.ML.OnnxRuntimeGenAI.targets new file mode 100644 index 000000000..d90112963 --- /dev/null +++ b/nuget/targets/net8.0-ios/Microsoft.ML.OnnxRuntimeGenAI.targets @@ -0,0 +1,13 @@ + + + + + Static + True + True + True + -lc++ + CoreML + + + \ No newline at end of file diff --git a/nuget/targets/net8.0-maccatalyst/README.md b/nuget/targets/net8.0-maccatalyst/README.md new file mode 100644 index 000000000..ef91f0f7c --- /dev/null +++ b/nuget/targets/net8.0-maccatalyst/README.md @@ -0,0 +1,3 @@ +### Notes for maccatalyst .NET targets: + +We only add a blank file for the target framework folder here and thus will be including blank TFM under build/ and buildTransitive/ in the Nuget package. The reason is for Mac Catalyst platform, it directly will resolve the xcframework from the runtimes/native/ios folder based on this [RuntimeidentifierGraph](https://github.com/dotnet/sdk/blob/main/src/Layout/redist/PortableRuntimeIdentifierGraph.json#L300-L304) diff --git a/nuget/targets/net8.0-maccatalyst/_._ b/nuget/targets/net8.0-maccatalyst/_._ new file mode 100644 index 000000000..e69de29bb diff --git a/nuget/targets/Microsoft.ML.OnnxRuntimeGenAI.props b/nuget/targets/netstandard/Microsoft.ML.OnnxRuntimeGenAI.props similarity index 100% rename from nuget/targets/Microsoft.ML.OnnxRuntimeGenAI.props rename to nuget/targets/netstandard/Microsoft.ML.OnnxRuntimeGenAI.props diff --git a/nuget/targets/Microsoft.ML.OnnxRuntimeGenAI.targets b/nuget/targets/netstandard/Microsoft.ML.OnnxRuntimeGenAI.targets similarity index 100% rename from nuget/targets/Microsoft.ML.OnnxRuntimeGenAI.targets rename to nuget/targets/netstandard/Microsoft.ML.OnnxRuntimeGenAI.targets diff --git a/src/beam_search_scorer.cpp b/src/beam_search_scorer.cpp index ec9760377..250a77373 100644 --- a/src/beam_search_scorer.cpp +++ b/src/beam_search_scorer.cpp @@ -16,7 +16,7 @@ void BeamHypotheses::Init(float length_penalty, std::span beams done_ = false; } -void BeamHypotheses::Add(cpu_span hypothesis, float sum_logprobs) { +void BeamHypotheses::Add(std::span hypothesis, float sum_logprobs) { auto length = hypothesis.size(); float const score = sum_logprobs / std::pow(static_cast(length), length_penalty_); @@ -47,10 +47,12 @@ BeamSearchScorer::BeamSearchScorer(const GeneratorParams& parameters) : batch_size_{parameters.batch_size}, num_beams_{parameters.search.num_beams}, max_length_{parameters.search.max_length}, - pad_token_id_{parameters.pad_token_id}, - eos_token_id_{parameters.eos_token_id}, + pad_token_id_{parameters.config.model.pad_token_id}, + eos_token_id_{parameters.config.model.eos_token_id}, early_stopping_{parameters.search.early_stopping}, not_done_count_{parameters.batch_size} { + auto& device = GetCpuDeviceInterface(); + size_t const batch_beam_size = static_cast(batch_size_) * num_beams_; std::span beams; @@ -66,7 +68,8 @@ BeamSearchScorer::BeamSearchScorer(const GeneratorParams& parameters) // Space to store intermediate sequence with length sequence_length, sequence_length + 1, ..., max_sequence_length. size_t const per_beam = (max_length_ * (max_length_ + 1) - (parameters.sequence_length - 1) * parameters.sequence_length) / 2; - hypothesis_buffer_ptr_ = AllocateArray(batch_beam_size * per_beam, &hypothesis_buffer_); + hypothesis_buffer_ptr_ = device.Allocate(batch_beam_size * per_beam, true); + hypothesis_buffer_ = hypothesis_buffer_ptr_->CpuSpan(); memset(next_beam_scores_.data(), 0, next_beam_scores_.size_bytes()); @@ -124,12 +127,11 @@ void BeamSearchScorer::Process(Sequences& sequences, } // Clone the sequence and append to buffer. - cpu_span const src{sequences.GetSequence(batch_beam_idx)}; - auto clone_span = hypothesis_buffer_.subspan(static_cast(hypothesis_buffer_used_), sequence_length); - cpu_span clone{clone_span.data(), sequence_length}; + std::span src = sequences.GetSequence(batch_beam_idx).CpuSpan(); + auto clone = hypothesis_buffer_.subspan(hypothesis_buffer_used_, src.size()); + hypothesis_buffer_used_ += clone.size(); - copy(src, clone); - hypothesis_buffer_used_ += static_cast(sequence_length); + copy(cpu_span{src}, cpu_span{clone}); beam_hyp.Add(clone, next_score); } else { // Add next predicted token since it is not eos_token. @@ -178,10 +180,21 @@ void BeamSearchScorer::Finalize(Sequences& sequences, for (size_t beam_index = 0; beam_index < num_beams_; beam_index++) { size_t const batch_beam_index = batch_index * num_beams_ + beam_index; float const final_score = next_beam_scores_[batch_beam_index]; - auto final_tokens = sequences.GetSequence(batch_beam_index); - beam_hyp.Add(final_tokens, final_score); + + // Clone the sequence and append to buffer. + std::span src = sequences.GetSequence(batch_beam_index).CpuSpan(); + auto clone = hypothesis_buffer_.subspan(hypothesis_buffer_used_, src.size()); + hypothesis_buffer_used_ += clone.size(); + + copy(cpu_span{src}, cpu_span{clone}); + beam_hyp.Add(clone, final_score); } } } +DeviceMemorySpan BeamSearchScorer::GetBeamHypotheses(size_t batch_id, size_t beam_id) { + auto hypothesis = beam_hyps_[batch_id].GetHypothesis(beam_id); + return hypothesis_buffer_ptr_->subspan_cpu(hypothesis); +} + } // namespace Generators diff --git a/src/beam_search_scorer.h b/src/beam_search_scorer.h index b01fed6d0..1ff261a3e 100644 --- a/src/beam_search_scorer.h +++ b/src/beam_search_scorer.h @@ -6,7 +6,7 @@ namespace Generators { struct HypothesisScore { - cpu_span hypothesis; + std::span hypothesis; float score; }; @@ -15,12 +15,12 @@ struct BeamHypotheses { void Init(float length_penalty, std::span beams); // Add a new hypothesis - void Add(cpu_span hypothesis, float sum_logprobs); + void Add(std::span hypothesis, float sum_logprobs); // Return true if this beats the worst score in the hypothesis bool CanImprove(float best_sum_logprobs, int current_length) const; - RoamingArray GetHypothesis(size_t index) const { return beams_[index].hypothesis; } + std::span GetHypothesis(size_t index) const { return beams_[index].hypothesis; } // TODO(aciddelgado): Methods to get all hypotheses and scores @@ -46,7 +46,7 @@ struct BeamSearchScorer { cpu_span GetNextScores() { return next_beam_scores_; } cpu_span GetNextTokens() { return next_beam_tokens_; } cpu_span GetNextIndicesCPU() { return next_beam_indices_; } - BeamHypotheses GetBeamHypotheses(size_t batch_id) { return beam_hyps_[batch_id]; } + DeviceMemorySpan GetBeamHypotheses(size_t batch_id, size_t beam_id); private: int batch_size_; @@ -66,9 +66,9 @@ struct BeamSearchScorer { std::unique_ptr next_beam_indices_ptr_; cpu_span next_beam_indices_; - std::unique_ptr hypothesis_buffer_ptr_; // Allocated buffer to hold all hypotheses - std::span hypothesis_buffer_; // Span of the allocated buffer - int hypothesis_buffer_used_{}; // Offset of available buffer, or length of used buffer. + std::shared_ptr> hypothesis_buffer_ptr_; // Allocated buffer to hold all hypotheses + std::span hypothesis_buffer_; // Span of the allocated buffer + size_t hypothesis_buffer_used_{}; // Offset of available buffer, or length of used buffer. std::unique_ptr hypothesis_scores_ptr_; // num_beams_ * batch_size_, divided into num_beams_ chunks per BeamHypothesis in beam_hyps_ std::unique_ptr beam_hyps_ptr_; diff --git a/src/config.cpp b/src/config.cpp index 00708faae..5603ed4ba 100644 --- a/src/config.cpp +++ b/src/config.cpp @@ -1,6 +1,7 @@ // Copyright (c) Microsoft Corporation. All rights reserved. // Licensed under the MIT License. #include "generators.h" +#include "runtime_settings.h" #include "json.h" #include #include @@ -33,8 +34,13 @@ struct ProviderOptionsObject_Element : JSON::Element { explicit ProviderOptionsObject_Element(std::vector& v) : v_{v} {} JSON::Element& OnObject(std::string_view name) override { - if (options_element_) - throw std::runtime_error("Each object in the provider_options array can only have one member (named value)"); + for (auto& v : v_) { + if (v.name == name) { + options_element_ = std::make_unique(v); + return *options_element_; + } + } + auto& options = v_.emplace_back(); options.name = name; options_element_ = std::make_unique(options); @@ -96,6 +102,8 @@ struct SessionOptions_Element : JSON::Element { v_.enable_quant_qdq_cleanup = value; else if (name == "ep_context_enable") v_.ep_context_enable = value; + else if (name == "use_env_allocators") + v_.use_env_allocators = value; else throw JSON::unknown_value_error{}; } @@ -137,10 +145,6 @@ struct Inputs_Element : JSON::Element { v_.position_ids = value; } else if (name == "attention_mask") { v_.attention_mask = value; - } else if (name == "seqlens_k") { - v_.seqlens_k = value; - } else if (name == "total_seq_len") { - v_.total_sequence_length = value; } else if (name == "past_key_names") { v_.past_key_names = value; } else if (name == "past_value_names") { @@ -151,6 +155,10 @@ struct Inputs_Element : JSON::Element { v_.cross_past_key_names = value; } else if (name == "cross_past_value_names") { v_.cross_past_value_names = value; + } else if (name == "current_sequence_length") { + v_.current_sequence_length = value; + } else if (name == "past_sequence_length") { + v_.past_sequence_length = value; } else throw JSON::unknown_value_error{}; } @@ -183,6 +191,101 @@ struct Outputs_Element : JSON::Element { Config::Model::Decoder::Outputs& v_; }; +struct StringArray_Element : JSON::Element { + explicit StringArray_Element(std::vector& v) : v_{v} {} + + void OnString(std::string_view name, std::string_view value) override { + v_.push_back(std::string(value)); + } + + private: + std::vector& v_; +}; + +struct StringStringMap_Element : JSON::Element { + explicit StringStringMap_Element(std::unordered_map& v) : v_{v} {} + + void OnString(std::string_view name, std::string_view value) override { + v_[std::string(name)] = std::string(value); + } + + private: + std::unordered_map& v_; +}; + +struct PipelineModel_Element : JSON::Element { + explicit PipelineModel_Element(Config::Model::Decoder::PipelineModel& v) : v_{v} {} + + void OnString(std::string_view name, std::string_view value) override { + if (name == "filename") { + v_.filename = value; + } else + throw JSON::unknown_value_error{}; + } + + void OnBool(std::string_view name, bool value) override { + if (name == "run_on_prompt") { + v_.run_on_prompt = value; + } else if (name == "run_on_token_gen") { + v_.run_on_token_gen = value; + } else + throw JSON::unknown_value_error{}; + } + + JSON::Element& OnObject(std::string_view name) override { + if (name == "session_options") { + v_.session_options = Config::SessionOptions{}; + session_options_ = std::make_unique(*v_.session_options); + return *session_options_; + } else if (name == "output_names_forwarder") { + return output_names_forwarder_; + } + throw JSON::unknown_value_error{}; + } + + Element& OnArray(std::string_view name) override { + if (name == "inputs") + return inputs_; + else if (name == "outputs") + return outputs_; + throw JSON::unknown_value_error{}; + } + + private: + Config::Model::Decoder::PipelineModel& v_; + std::unique_ptr session_options_; + StringArray_Element inputs_{v_.inputs}; + StringArray_Element outputs_{v_.outputs}; + StringStringMap_Element output_names_forwarder_{v_.output_names_forwarder}; +}; + +struct PipelineModelObject_Element : JSON::Element { + explicit PipelineModelObject_Element(std::vector& v) : v_{v} {} + + Element& OnObject(std::string_view name) override { + auto& model = v_.emplace_back(); + model.model_id = name; + pipeline_model_elements_.emplace_back(model); + return pipeline_model_elements_.back(); + } + + private: + std::vector& v_; + std::vector pipeline_model_elements_; +}; + +struct Pipeline_Element : JSON::Element { + explicit Pipeline_Element(std::vector& v) : v_{v} {} + + Element& OnObject(std::string_view name) override { + return object_; + } + + private: + std::vector& v_; + PipelineModelObject_Element object_{v_}; +}; + struct Decoder_Element : JSON::Element { explicit Decoder_Element(Config::Model::Decoder& v) : v_{v} {} @@ -221,11 +324,18 @@ struct Decoder_Element : JSON::Element { throw JSON::unknown_value_error{}; } + Element& OnArray(std::string_view name) override { + if (name == "pipeline") + return pipeline_; + throw JSON::unknown_value_error{}; + } + private: Config::Model::Decoder& v_; SessionOptions_Element session_options_{v_.session_options}; Inputs_Element inputs_{v_.inputs}; Outputs_Element outputs_{v_.outputs}; + Pipeline_Element pipeline_{v_.pipeline}; }; struct VisionInputs_Element : JSON::Element { @@ -248,8 +358,8 @@ struct VisionOutputs_Element : JSON::Element { explicit VisionOutputs_Element(Config::Model::Vision::Outputs& v) : v_{v} {} void OnString(std::string_view name, std::string_view value) override { - if (name == "visual_features") { - v_.visual_features = value; + if (name == "image_features") { + v_.image_features = value; } else throw JSON::unknown_value_error{}; } @@ -312,6 +422,8 @@ struct EmbeddingInputs_Element : JSON::Element { void OnString(std::string_view name, std::string_view value) override { if (name == "input_ids") { v_.input_ids = value; + } else if (name == "image_features") { + v_.image_features = value; } else throw JSON::unknown_value_error{}; } @@ -529,7 +641,7 @@ struct RootObject_Element : JSON::Element { JSON::Element& t_; }; -void ParseConfig(const fs::path& filename, Config& config) { +void ParseConfig(const fs::path& filename, std::string_view json_overlay, Config& config) { std::ifstream file = filename.open(std::ios::binary | std::ios::ate); if (!file.is_open()) { throw std::runtime_error("Error opening " + filename.string()); @@ -551,10 +663,20 @@ void ParseConfig(const fs::path& filename, Config& config) { oss << "Error encountered while parsing '" << filename.string() << "' " << message.what(); throw std::runtime_error(oss.str()); } + + if (!json_overlay.empty()) { + try { + JSON::Parse(root_object, json_overlay); + } catch (const std::exception& message) { + std::ostringstream oss; + oss << "Error encountered while parsing config overlay: " << message.what(); + throw std::runtime_error(oss.str()); + } + } } -Config::Config(const fs::path& path) : config_path{path} { - ParseConfig(path / "genai_config.json", *this); +Config::Config(const fs::path& path, std::string_view json_overlay) : config_path{path} { + ParseConfig(path / "genai_config.json", json_overlay, *this); if (model.context_length == 0) throw std::runtime_error("model context_length is 0 or was not set. It must be greater than 0"); diff --git a/src/config.h b/src/config.h index 7263dbda3..37e1837a2 100644 --- a/src/config.h +++ b/src/config.h @@ -4,14 +4,20 @@ namespace Generators { +struct RuntimeSettings; + struct Config { Config() = default; - Config(const fs::path& path); + Config(const fs::path& path, std::string_view json_overlay); struct Defaults { static constexpr std::string_view InputIdsName = "input_ids"; static constexpr std::string_view PixelValuesName = "pixel_values"; static constexpr std::string_view ImageSizesName = "image_sizes"; + static constexpr std::string_view InputFeaturesName = "encoder_input_ids"; + static constexpr std::string_view ImageFeaturesName = "image_features"; + static constexpr std::string_view CurrentSequenceLengthName = "current_sequence_length"; + static constexpr std::string_view PastSequenceLengthName = "past_sequence_length"; }; fs::path config_path; // Path of the config directory @@ -36,6 +42,9 @@ struct Config { std::optional log_id; std::optional log_severity_level; std::optional enable_profiling; + // TODO(baijumeswani): Sharing env allocators across sessions leads to crashes on windows and iOS. + // Identify the reason for the crash to enable allocator sharing by default. + bool use_env_allocators{false}; std::vector provider_options; }; @@ -55,6 +64,10 @@ struct Config { // For models like whisper struct EncoderDecoderInit { std::string filename; + + struct Inputs { + std::string input_features{Defaults::InputFeaturesName}; + } inputs; } encoder_decoder_init; struct Embedding { @@ -62,6 +75,7 @@ struct Config { struct Inputs { std::string input_ids{Defaults::InputIdsName}; + std::string image_features{Defaults::ImageFeaturesName}; } inputs; struct Outputs { @@ -78,7 +92,7 @@ struct Config { } inputs; struct Outputs { - std::string visual_features{"visual_features"}; + std::string image_features{Defaults::ImageFeaturesName}; } outputs; } vision; @@ -97,11 +111,11 @@ struct Config { std::string embeddings{"inputs_embeds"}; std::string position_ids{"position_ids"}; std::string attention_mask{"attention_mask"}; - std::string seqlens_k{"seqlens_k"}; - std::string total_sequence_length{"total_seq_len"}; std::string past_key_names{"past_key_values.%d.key"}, past_value_names{"past_key_values.%d.value"}; std::string past_names; // When key/value pairs are combined std::string cross_past_key_names, cross_past_value_names; + std::string current_sequence_length{Defaults::CurrentSequenceLengthName}; + std::string past_sequence_length{Defaults::PastSequenceLengthName}; } inputs; struct Outputs { @@ -111,6 +125,20 @@ struct Config { std::string cross_present_key_names, cross_present_value_names; } outputs; + struct PipelineModel { + std::string model_id; + std::string filename; + std::optional session_options; + + std::vector inputs; + std::vector outputs; + std::unordered_map output_names_forwarder; + bool run_on_prompt{true}; + bool run_on_token_gen{true}; + }; + + std::vector pipeline; + } decoder; } model; @@ -144,4 +172,4 @@ void SetSearchNumber(Config::Search& search, std::string_view name, double value void SetSearchBool(Config::Search& search, std::string_view name, bool value); bool IsCudaGraphEnabled(Config::SessionOptions& session_options); -} // namespace Generators \ No newline at end of file +} // namespace Generators diff --git a/src/csharp/Adapters.cs b/src/csharp/Adapters.cs new file mode 100644 index 000000000..4ef6cabfc --- /dev/null +++ b/src/csharp/Adapters.cs @@ -0,0 +1,62 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +using System; +using System.Runtime.InteropServices; + +namespace Microsoft.ML.OnnxRuntimeGenAI +{ + /// + /// A container of adapters. + /// + public class Adapters : SafeHandle + { + /// + /// Creates a container for adapters + /// used to load, unload and hold them. + /// Throws on error. + /// + /// Reference to a loaded model + /// new Adapters object + public Adapters(Model model) : base(IntPtr.Zero, true) + { + Result.VerifySuccess(NativeMethods.OgaCreateAdapters(model.Handle, out handle)); + } + + /// + /// Method that loads adapter data and assigns it a nmae that + /// it can be referred to. Throws on error. + /// + /// file path to load + /// adapter name + public void LoadAdapter(string adapterPath, string adapterName) + { + Result.VerifySuccess(NativeMethods.OgaLoadAdapter(handle, + StringUtils.ToUtf8(adapterPath), StringUtils.ToUtf8(adapterName))); + } + + /// + /// Unload the adatper that was loaded by the LoadAdapter method. + /// Throws on error. + /// + /// + public void UnloadAdapter(string adapterName) + { + Result.VerifySuccess(NativeMethods.OgaUnloadAdapter(handle, StringUtils.ToUtf8(adapterName))); + } + + internal IntPtr Handle { get { return handle; } } + + /// + /// Implement SafeHandle override + /// + public override bool IsInvalid => handle == IntPtr.Zero; + + protected override bool ReleaseHandle() + { + NativeMethods.OgaDestroyAdapters(handle); + handle = IntPtr.Zero; + return true; + } + } +} \ No newline at end of file diff --git a/src/csharp/Exceptions.cs b/src/csharp/Exceptions.cs index 3c023894b..8228bf794 100644 --- a/src/csharp/Exceptions.cs +++ b/src/csharp/Exceptions.cs @@ -2,7 +2,6 @@ // Licensed under the MIT License. using System; -using System.Collections.Generic; namespace Microsoft.ML.OnnxRuntimeGenAI { diff --git a/src/csharp/Generator.cs b/src/csharp/Generator.cs index e2772d632..b56a62255 100644 --- a/src/csharp/Generator.cs +++ b/src/csharp/Generator.cs @@ -40,6 +40,33 @@ public ReadOnlySpan GetSequence(ulong index) } } + /// + /// Fetches and returns the output tensor with the given name. + /// Throw on error + /// + /// + /// a disposable instance of Tensor + public Tensor GetOutput(string outputName) + { + Result.VerifySuccess(NativeMethods.OgaGenerator_GetOutput(_generatorHandle, + StringUtils.ToUtf8(outputName), + out IntPtr outputTensor)); + return new Tensor(outputTensor); + } + + /// + /// Activates one of the loaded adapters. + /// Throws on error. + /// + /// Adapters container + /// adapter name that was previously loaded + public void SetActiveAdapter(Adapters adapters, string adapterName) + { + Result.VerifySuccess(NativeMethods.OgaSetActiveAdapter(_generatorHandle, + adapters.Handle, + StringUtils.ToUtf8(adapterName))); + } + ~Generator() { Dispose(false); diff --git a/src/csharp/Microsoft.ML.OnnxRuntimeGenAI.csproj b/src/csharp/Microsoft.ML.OnnxRuntimeGenAI.csproj index 653f23332..ee53c83fb 100644 --- a/src/csharp/Microsoft.ML.OnnxRuntimeGenAI.csproj +++ b/src/csharp/Microsoft.ML.OnnxRuntimeGenAI.csproj @@ -1,6 +1,16 @@  - net8.0;netstandard2.0 + false + net8.0;netstandard2.0; + + + + + net8.0-android;net8.0-ios;net8.0-maccatalyst + + + + $(BaseTargets);$(MobileTargets) AnyCPU default true @@ -22,12 +32,23 @@ true true true + + + true + true + true $(CsharpSrcRoot)\..\..\build $(OnnxRuntimeGenAIBuildDirectory)\$(Configuration)\ + $(CsharpSrcRoot)\..\..\VERSION_INFO @@ -67,13 +88,29 @@ + + $(OrtConstants);__MOBILE__ + + + + $(OrtConstants);__ANDROID__ + + + + $(OrtConstants);__IOS__ + + + + $(DefineConstants);$(OrtConstants) + + - + - - + + diff --git a/src/csharp/MultiModalProcessor.cs b/src/csharp/MultiModalProcessor.cs index 9eae0eb20..a9baecb82 100644 --- a/src/csharp/MultiModalProcessor.cs +++ b/src/csharp/MultiModalProcessor.cs @@ -2,7 +2,6 @@ // Licensed under the MIT License. using System; -using System.Runtime.InteropServices; namespace Microsoft.ML.OnnxRuntimeGenAI { diff --git a/src/csharp/NativeMethods.cs b/src/csharp/NativeMethods.cs index 431b8e8cc..2d3df9a06 100644 --- a/src/csharp/NativeMethods.cs +++ b/src/csharp/NativeMethods.cs @@ -10,7 +10,15 @@ internal static class NativeMethods { internal class NativeLib { +#if __ANDROID__ + // define the library name required for android + internal const string DllName = "libonnxruntime-genai.so"; +#elif __IOS__ + // define the library name required for iOS + internal const string DllName = "__Internal"; +#else internal const string DllName = "onnxruntime-genai"; +#endif } // The returned pointer is owned by the OgaResult object and will be freed when the OgaResult @@ -73,7 +81,7 @@ internal class NativeLib [DllImport(NativeLib.DllName, CallingConvention = CallingConvention.Winapi)] public static extern IntPtr /* OgaResult* */ OgaGeneratorParamsSetModelInput(IntPtr /* OgaGeneratorParams* */ generatorParams, - byte[] /* const char* */ name, + byte[] /* const char* */ name, IntPtr /* const OgaTensor* */ tensor); [DllImport(NativeLib.DllName, CallingConvention = CallingConvention.Winapi)] @@ -112,6 +120,15 @@ internal class NativeLib public static extern IntPtr /* const in32_t* */ OgaGenerator_GetSequenceData(IntPtr /* const OgaGenerator* */ generator, UIntPtr /* size_t */ index); + [DllImport(NativeLib.DllName, CallingConvention = CallingConvention.Winapi)] + public static extern IntPtr /* OgaResult* */ OgaGenerator_GetOutput(IntPtr /* cosnt OgaGenerator* */ generator, + byte[] outputName, out IntPtr tensor); + + [DllImport(NativeLib.DllName, CallingConvention = CallingConvention.Winapi)] + public static extern IntPtr /* OgaResult* */ OgaSetActiveAdapter(IntPtr /* OgaGenerator* */ generator, + IntPtr /* OgaAdapters* */ adapters, + byte[] /*const char**/ adapterName); + [DllImport(NativeLib.DllName, CallingConvention = CallingConvention.Winapi)] public static extern IntPtr /* OgaResult* */ OgaCreateSequences(out IntPtr /* OgaSequences** */ sequences); @@ -254,5 +271,21 @@ public static extern UIntPtr OgaSequencesGetSequenceCount(IntPtr /* const OgaSeq [DllImport(NativeLib.DllName, CallingConvention = CallingConvention.Winapi)] public static extern void OgaDestroyStringArray(IntPtr /* OgaStringArray* */ stringArray); + + [DllImport(NativeLib.DllName, CallingConvention = CallingConvention.Winapi)] + public static extern IntPtr /* OgaResult* */ OgaCreateAdapters(IntPtr /* const OgaModel* */ model, + out IntPtr /* OgaAdapters** */ adapters); + + [DllImport(NativeLib.DllName, CallingConvention = CallingConvention.Winapi)] + public static extern void OgaDestroyAdapters(IntPtr /* OgaAdapters* */ adapters); + + [DllImport(NativeLib.DllName, CallingConvention = CallingConvention.Winapi)] + public static extern IntPtr /* OgaResult* */ OgaLoadAdapter(IntPtr /* OgaAdapters* */ adapters, + byte[] /* const char* */ adapterFilePath, + byte[] /* const char* */ adapterName); + + [DllImport(NativeLib.DllName, CallingConvention = CallingConvention.Winapi)] + public static extern IntPtr /* OgaResult* */ OgaUnloadAdapter(IntPtr /* OgaAdapters* */ adapters, + byte[] /* const char* */ adapterName); } } diff --git a/src/csharp/Result.cs b/src/csharp/Result.cs index a6185b907..b64e14c98 100644 --- a/src/csharp/Result.cs +++ b/src/csharp/Result.cs @@ -3,7 +3,6 @@ using System; using System.Runtime.CompilerServices; -using System.Runtime.InteropServices; namespace Microsoft.ML.OnnxRuntimeGenAI { diff --git a/src/csharp/Sequences.cs b/src/csharp/Sequences.cs index 0bbf8da83..efa4ccaf2 100644 --- a/src/csharp/Sequences.cs +++ b/src/csharp/Sequences.cs @@ -2,7 +2,6 @@ // Licensed under the MIT License. using System; -using System.Runtime.InteropServices; namespace Microsoft.ML.OnnxRuntimeGenAI { diff --git a/src/csharp/Tensor.cs b/src/csharp/Tensor.cs index ae20a1b8b..1f1c11d83 100644 --- a/src/csharp/Tensor.cs +++ b/src/csharp/Tensor.cs @@ -2,7 +2,7 @@ // Licensed under the MIT License. using System; -using System.Runtime.InteropServices; +using System.Diagnostics; namespace Microsoft.ML.OnnxRuntimeGenAI { @@ -34,6 +34,14 @@ public Tensor(IntPtr data, Int64[] shape, ElementType type) { Result.VerifySuccess(NativeMethods.OgaCreateTensorFromBuffer(data, shape, (UIntPtr)shape.Length, type, out _tensorHandle)); } + + internal Tensor(IntPtr tensorHandle) + { + Debug.Assert(tensorHandle != IntPtr.Zero); + _tensorHandle = tensorHandle; + _disposed = false; + } + internal IntPtr Handle { get { return _tensorHandle; } } ~Tensor() @@ -54,6 +62,47 @@ public Int64[] Shape() return shape; } + /// + /// Computes number of elements in the tensor + /// given the shape + /// + /// shape + /// product of dimensions + public static Int64 ElementsFromShape(Int64[] shape) + { + Int64 size = 1; + foreach (Int64 dim in shape) + { + size *= dim; + } + return size; + } + + /// + /// Computes and returns number of elements in the tensor + /// + /// + public Int64 NumElements() + { + return ElementsFromShape(Shape()); + } + + /// + /// Return a ReadOnlySpan to tensor data + /// no type checks are made + /// + /// + /// read only span + public ReadOnlySpan GetData() + { + var elements = NumElements(); + Result.VerifySuccess(NativeMethods.OgaTensorGetData(Handle, out IntPtr data)); + unsafe + { + return new ReadOnlySpan(data.ToPointer(), (int)elements); + } + } + public void Dispose() { Dispose(true); diff --git a/src/csharp/Tokenizer.cs b/src/csharp/Tokenizer.cs index 24fd85ceb..1d99566ab 100644 --- a/src/csharp/Tokenizer.cs +++ b/src/csharp/Tokenizer.cs @@ -2,8 +2,6 @@ // Licensed under the MIT License. using System; -using System.Runtime.InteropServices; -using System.Text; namespace Microsoft.ML.OnnxRuntimeGenAI { diff --git a/src/csharp/TokenizerStream.cs b/src/csharp/TokenizerStream.cs index 51cac5a28..07140d382 100644 --- a/src/csharp/TokenizerStream.cs +++ b/src/csharp/TokenizerStream.cs @@ -2,7 +2,6 @@ // Licensed under the MIT License. using System; -using System.Runtime.InteropServices; namespace Microsoft.ML.OnnxRuntimeGenAI { diff --git a/src/csharp/Utils.cs b/src/csharp/Utils.cs index 90d007bc7..eb65b924a 100644 --- a/src/csharp/Utils.cs +++ b/src/csharp/Utils.cs @@ -2,7 +2,6 @@ // Licensed under the MIT License. using System; -using System.Runtime.InteropServices; using System.Text; namespace Microsoft.ML.OnnxRuntimeGenAI diff --git a/src/beam_search_scorer_cuda.cpp b/src/cuda/beam_search_scorer_cuda.cpp similarity index 83% rename from src/beam_search_scorer_cuda.cpp rename to src/cuda/beam_search_scorer_cuda.cpp index 4c48ed82a..014b16d90 100644 --- a/src/beam_search_scorer_cuda.cpp +++ b/src/cuda/beam_search_scorer_cuda.cpp @@ -3,6 +3,7 @@ #include "search_cuda.h" #include "beam_search_scorer_cuda.cuh" #include "beam_search_scorer_cuda.h" +#include "interface.h" namespace Generators { @@ -12,8 +13,8 @@ BeamSearchScorer_Cuda::BeamSearchScorer_Cuda(const GeneratorParams& parameters) state_cpu_->batch_size_ = static_cast(parameters.batch_size); state_cpu_->num_beams_ = static_cast(parameters.search.num_beams); state_cpu_->max_length_ = static_cast(parameters.search.max_length); - state_cpu_->pad_token_id_ = parameters.pad_token_id; - state_cpu_->eos_token_id_ = parameters.eos_token_id; + state_cpu_->pad_token_id_ = parameters.config.model.pad_token_id; + state_cpu_->eos_token_id_ = parameters.config.model.eos_token_id; state_cpu_->early_stopping_ = parameters.search.early_stopping; state_cpu_->not_done_count_ = parameters.batch_size; state_cpu_->hypothesis_buffer_used_ = 0; @@ -22,6 +23,8 @@ BeamSearchScorer_Cuda::BeamSearchScorer_Cuda(const GeneratorParams& parameters) size_t batch_beam_size = state_cpu_->batch_size_ * state_cpu_->num_beams_; + auto& device = GetCudaDeviceInterface(); + gpu_span beams; hypothesis_scores_ptr_ = CudaMallocArray(batch_beam_size, &beams); beam_hyps_ptr_ = CudaMallocArray(state_cpu_->batch_size_, &beam_hyps_); @@ -38,7 +41,8 @@ BeamSearchScorer_Cuda::BeamSearchScorer_Cuda(const GeneratorParams& parameters) // Space to store intermediate sequence with length sequence_length, sequence_length + 1, ..., max_sequence_length. size_t per_beam = (state_cpu_->max_length_ * (state_cpu_->max_length_ + 1) - (parameters.sequence_length - 1) * parameters.sequence_length) / 2; - hypothesis_buffer_ptr_ = CudaMallocArray(batch_beam_size * per_beam, &hypothesis_buffer_); + hypothesis_buffer_ptr_ = device.Allocate(batch_beam_size * per_beam, false /*cpu_accessible*/); + hypothesis_buffer_ = hypothesis_buffer_ptr_->DeviceSpan(); } void BeamSearchScorer_Cuda::Process(Sequences_Cuda& sequences, @@ -47,7 +51,7 @@ void BeamSearchScorer_Cuda::Process(Sequences_Cuda& sequences, std::span next_indices) { cuda::LaunchBeamSearchScorer_Process(*state_cpu_, *state_gpu_, - sequences.GetSequences(), + sequences.GetSequences().DeviceSpan(), sequences.GetSequenceLength(), beam_hyps_, next_beam_scores_, @@ -62,8 +66,8 @@ void BeamSearchScorer_Cuda::Process(Sequences_Cuda& sequences, cuda::LaunchBeamSearchScorer_AppendNextTokenToSequences(*state_cpu_, *state_gpu_, - sequences.GetSequences(), - sequences.GetNextSequences(), + sequences.GetSequences().DeviceSpan(), + sequences.GetNextSequences().DeviceSpan(), sequences.GetSequenceLength(), next_beam_tokens_, next_beam_indices_, @@ -77,17 +81,17 @@ bool BeamSearchScorer_Cuda::IsDoneLater() const { void BeamSearchScorer_Cuda::Finalize(Sequences_Cuda& sequences, size_t num_return_sequences) { - cuda::LaunchBeamSearchScorer_Finalize(state_cpu_->batch_size_, *state_gpu_, sequences.GetSequences(), sequences.GetSequenceLength(), beam_hyps_, next_beam_scores_, stream_); + cuda::LaunchBeamSearchScorer_Finalize(state_cpu_->batch_size_, *state_gpu_, sequences.GetSequences().DeviceSpan(), sequences.GetSequenceLength(), beam_hyps_, hypothesis_buffer_, next_beam_scores_, stream_); } -RoamingArray BeamSearchScorer_Cuda::GetBeamHypothesis(size_t batch_id, size_t beam_id) const { +DeviceMemorySpan BeamSearchScorer_Cuda::GetBeamHypothesis(size_t batch_id, size_t beam_id) const { cuda_host_unique_ptr hypothesis_ptr = CudaMallocHostArray(1); cuda_host_unique_ptr hypothesis_length = CudaMallocHostArray(1); cuda_host_unique_ptr hypothesis_score = CudaMallocHostArray(1); cuda::LaunchBeamSearchScorer_GetHypothesisPtr(batch_id, beam_id, beam_hyps_, hypothesis_ptr.get(), hypothesis_length.get(), hypothesis_score.get(), stream_); CudaCheck() == cudaStreamSynchronize(stream_); - std::span hypothesis_span(*hypothesis_ptr.get(), *hypothesis_length.get()); - return gpu_span{hypothesis_span.data(), hypothesis_span.size()}; + std::span hypothesis(*hypothesis_ptr.get(), *hypothesis_length.get()); + return hypothesis_buffer_ptr_->subspan_device(hypothesis); } } // namespace Generators diff --git a/src/beam_search_scorer_cuda.cu b/src/cuda/beam_search_scorer_cuda.cu similarity index 95% rename from src/beam_search_scorer_cuda.cu rename to src/cuda/beam_search_scorer_cuda.cu index 5673c66a2..fa9148dcc 100644 --- a/src/beam_search_scorer_cuda.cu +++ b/src/cuda/beam_search_scorer_cuda.cu @@ -108,7 +108,8 @@ __global__ void BeamSearchScorer_Process(BeamScorerState& state_cpu, continue; } - // Clone the sequence and append to buffer. // TODO(aciddelgado): why do we need to clone the sequence here? + // Clone the sequence and append to buffer. + // TODO(aciddelgado): why do we need to clone the sequence here? A: Because we overwrite the sequences with other beams const int32_t* src = sequences_buffer + batch_beam_idx * state.max_length_; auto clone = hypothesis_buffer_ + atomicAdd(&state.hypothesis_buffer_used_, sequence_length); @@ -244,6 +245,7 @@ __global__ void BeamSearchScorer_Finalize(BeamScorerState& state, const int32_t* sequences_buffer, int sequence_length, BeamHypotheses* beam_hyps_, + int32_t* hypothesis_buffer_, const float* final_beam_scores) { int batch_index = blockIdx.x * blockDim.x + threadIdx.x; if (batch_index >= state.batch_size_) @@ -255,8 +257,14 @@ __global__ void BeamSearchScorer_Finalize(BeamScorerState& state, for (size_t beam_index = 0; beam_index < state.num_beams_; beam_index++) { size_t batch_beam_index = batch_index * state.num_beams_ + beam_index; float final_score = final_beam_scores[batch_beam_index]; - auto final_tokens = sequences_buffer + batch_beam_index * state.max_length_; - beam_hyp.Add(final_tokens, sequence_length, final_score); + + // Clone the sequence and append to buffer. + const int32_t* src = sequences_buffer + batch_beam_index * state.max_length_; + auto clone = hypothesis_buffer_ + atomicAdd(&state.hypothesis_buffer_used_, sequence_length); + + for (unsigned i = 0; i < sequence_length; i++) + clone[i] = src[i]; + beam_hyp.Add(clone, sequence_length, final_score); } } } @@ -266,12 +274,14 @@ void LaunchBeamSearchScorer_Finalize(int batch_size, std::span sequences, int sequence_length, std::span beam_hyps, + std::span hypothesis_buffer, std::span final_beam_scores, cudaStream_t stream) { BeamSearchScorer_Finalize<<<1, batch_size, 0, stream>>>(state, sequences.data(), sequence_length, beam_hyps.data(), + hypothesis_buffer.data(), final_beam_scores.data()); } diff --git a/src/beam_search_scorer_cuda.cuh b/src/cuda/beam_search_scorer_cuda.cuh similarity index 98% rename from src/beam_search_scorer_cuda.cuh rename to src/cuda/beam_search_scorer_cuda.cuh index 7bd864d80..68be19fee 100644 --- a/src/beam_search_scorer_cuda.cuh +++ b/src/cuda/beam_search_scorer_cuda.cuh @@ -65,6 +65,7 @@ void LaunchBeamSearchScorer_Finalize(int batch_size, std::span sequences, int sequence_length, std::span beam_hyps_, + std::span hypothesis_buffer, std::span final_beam_scores, cudaStream_t stream); diff --git a/src/beam_search_scorer_cuda.h b/src/cuda/beam_search_scorer_cuda.h similarity index 82% rename from src/beam_search_scorer_cuda.h rename to src/cuda/beam_search_scorer_cuda.h index 477e9b676..0bb110a84 100644 --- a/src/beam_search_scorer_cuda.h +++ b/src/cuda/beam_search_scorer_cuda.h @@ -22,7 +22,7 @@ struct BeamSearchScorer_Cuda { return next_beam_indices_cpu_; } gpu_span GetNextIndicesGPU() { return next_beam_indices_; } - RoamingArray GetBeamHypothesis(size_t batch_id, size_t beam_id) const; + DeviceMemorySpan GetBeamHypothesis(size_t batch_id, size_t beam_id) const; private: mutable cuda_event_holder event_process_complete_; @@ -42,9 +42,9 @@ struct BeamSearchScorer_Cuda { std::unique_ptr next_beam_indices_cpu_ptr_; cpu_span next_beam_indices_cpu_; - cuda_unique_ptr hypothesis_buffer_ptr_; // Allocated buffer to hold all hypotheses - gpu_span hypothesis_buffer_; // Span of the allocated buffer - size_t hypothesis_buffer_used_{}; // Offset of available buffer, or length of used buffer. + std::shared_ptr> hypothesis_buffer_ptr_; // Allocated buffer to hold all hypotheses + std::span hypothesis_buffer_; // Span of the allocated buffer + size_t hypothesis_buffer_used_{}; // Offset of available buffer, or length of used buffer. cuda_unique_ptr hypothesis_scores_ptr_; // num_beams_ * batch_size_, divided into num_beams_ chunks per BeamHypothesis in beam_hyps_ cuda_unique_ptr beam_hyps_ptr_; diff --git a/src/beam_search_topk.cu b/src/cuda/beam_search_topk.cu similarity index 100% rename from src/beam_search_topk.cu rename to src/cuda/beam_search_topk.cu diff --git a/src/cuda/cuda_common.h b/src/cuda/cuda_common.h new file mode 100644 index 000000000..a9ee5ae82 --- /dev/null +++ b/src/cuda/cuda_common.h @@ -0,0 +1,32 @@ +namespace Generators { + +void OnCudaError(cudaError_t error); + +struct CudaCheck { + void operator==(cudaError_t error) { + if (error != cudaSuccess) + OnCudaError(error); + } +}; + +struct cuda_event_holder { + cuda_event_holder() { + cudaEventCreate(&v_); + } + + cuda_event_holder(unsigned flags) { + cudaEventCreateWithFlags(&v_, flags); + } + + ~cuda_event_holder() { + if (v_) + (void)cudaEventDestroy(v_); + } + + operator cudaEvent_t() { return v_; } + + private: + cudaEvent_t v_{}; +}; + +} // namespace Generators diff --git a/src/cuda_sampling.cu b/src/cuda/cuda_sampling.cu similarity index 100% rename from src/cuda_sampling.cu rename to src/cuda/cuda_sampling.cu diff --git a/src/cuda_sampling.cuh b/src/cuda/cuda_sampling.cuh similarity index 97% rename from src/cuda_sampling.cuh rename to src/cuda/cuda_sampling.cuh index 6a206d5dd..7a298fba7 100644 --- a/src/cuda_sampling.cuh +++ b/src/cuda/cuda_sampling.cuh @@ -1,6 +1,6 @@ // Copyright (c) Microsoft Corporation. All rights reserved. // Licensed under the MIT License. -#include "smartptrs.h" +#include "../smartptrs.h" #include namespace Generators { diff --git a/src/cuda/debugging.cpp b/src/cuda/debugging.cpp new file mode 100644 index 000000000..66aacc77b --- /dev/null +++ b/src/cuda/debugging.cpp @@ -0,0 +1,19 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +#include "generators.h" + +namespace Generators { + +template +void DumpCudaSpan(std::ostream& stream, std::span data) { + auto cpu_copy = std::make_unique(data.size()); + CudaCheck() == cudaMemcpy(cpu_copy.get(), data.data(), data.size_bytes(), cudaMemcpyDeviceToHost); + + DumpSpan(stream, std::span{cpu_copy.get(), data.size()}); +} + +template void DumpCudaSpan(std::ostream&, std::span); +template void DumpCudaSpan(std::ostream&, std::span); + +} // namespace Generators \ No newline at end of file diff --git a/src/cuda/exported_symbols.lst b/src/cuda/exported_symbols.lst new file mode 100644 index 000000000..8d74868b7 --- /dev/null +++ b/src/cuda/exported_symbols.lst @@ -0,0 +1 @@ +GetInterface diff --git a/src/cuda/interface.cpp b/src/cuda/interface.cpp new file mode 100644 index 000000000..e1a38f0a9 --- /dev/null +++ b/src/cuda/interface.cpp @@ -0,0 +1,220 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +#include "generators.h" +#include "ort_genai_c.h" // For OGA_EXPORT +#include "interface.h" +#include "../search.h" +#include "search_cuda.h" +#include "../models/kernels.h" +#include + +namespace Generators { + +const char* label_cuda = "cuda"; +const char* label_cuda_cpu = "cuda_cpu"; + +struct HostMemory : DeviceMemoryBase { + HostMemory(size_t size) { + size_in_bytes_ = size; + ::cudaMallocHost(&p_device_, size); + p_cpu_ = p_device_; // CPU & GPU both access the same memory here + } + + ~HostMemory() override { + ::cudaFreeHost(p_device_); + } + + const char* GetType() const override { return label_cuda_cpu; } + bool IsCpuAccessible() const override { return true; } + void GetOnCpu() override { assert(false); } // Should never be called, as p_cpu_ is always valid + void CopyFromDevice(size_t begin_dest, DeviceMemoryBase& source, size_t begin_source, size_t size_in_bytes) override { + if (source.GetType() == label_cuda_cpu) + ::memcpy(p_cpu_ + begin_dest, source.p_cpu_ + begin_source, size_in_bytes); + else if (source.GetType() == label_cuda) + ::cudaMemcpy(p_device_ + begin_dest, source.p_device_ + begin_source, size_in_bytes, ::cudaMemcpyDeviceToHost); + else + throw std::runtime_error("Cuda HostMemory::CopyFromDevice not implemented for " + std::string(source.GetType())); + } +}; + +struct GpuMemory : DeviceMemoryBase { + GpuMemory(size_t size) { + size_in_bytes_ = size; + ::cudaMalloc(&p_device_, size); + } + + ~GpuMemory() override { + ::cudaFree(p_device_); + if (p_cpu_) + ::cudaFreeHost(p_cpu_); + } + + const char* GetType() const override { return label_cuda; } + bool IsCpuAccessible() const override { return false; } + void GetOnCpu() override { + assert(!p_cpu_); + ::cudaMallocHost(&p_cpu_, size_in_bytes_); + ::cudaMemcpy(p_cpu_, p_device_, size_in_bytes_, ::cudaMemcpyDeviceToHost); + } + + void CopyFromDevice(size_t begin_source, DeviceMemoryBase& source, size_t begin_dest, size_t size_in_bytes) override { + if (source.GetType() == label_cuda_cpu) + ::cudaMemcpy(p_device_ + begin_source, source.p_device_ + begin_dest, size_in_bytes, ::cudaMemcpyHostToDevice); + else if (source.GetType() == label_cuda) + ::cudaMemcpy(p_device_ + begin_source, source.p_device_ + begin_dest, size_in_bytes, ::cudaMemcpyDeviceToDevice); + else + throw std::runtime_error("Cuda GpuMemory::CopyFromDevice not implemented for " + std::string(source.GetType())); + } +}; + +struct CudaInterfaceImpl : CudaInterface { + ~CudaInterfaceImpl() { + } + + std::shared_ptr AllocateBase(size_t size, bool cpu_accessible) override { + if (cpu_accessible) + return std::make_shared(size); + return std::make_shared(size); + } + + std::unique_ptr CreateGreedy(const GeneratorParams& params) override { + return std::make_unique(params); + } + + std::unique_ptr CreateBeam(const GeneratorParams& params) override { + return std::make_unique(params); + } + + void Int32ToInt64(const int32_t* input, int64_t* output, int count, cudaStream_t stream) override { + cuda::LaunchInt32ToInt64(input, output, count, stream); + } + + void Fp16ToFp32(const uint16_t* input, float* output, int count, cudaStream_t stream) override { + cuda::LaunchFp16ToFp32(input, output, count, stream); + } + + void Fp32ToFp16(const float* input, uint16_t* output, int count, cudaStream_t stream) override { + cuda::LaunchFp32ToFp16(input, output, count, stream); + } + + void Launch_UpdatePositionIds(int32_t* position_ids, int batch_beam_size, cudaStream_t stream) override { + cuda::Launch_UpdatePositionIds(position_ids, batch_beam_size, stream); + } + + void Launch_UpdatePositionIds(int64_t* position_ids, int batch_beam_size, cudaStream_t stream) override { + cuda::Launch_UpdatePositionIds(position_ids, batch_beam_size, stream); + } + + void Launch_UpdateAttentionMask(int32_t* mask_data, const int32_t* old_mask_data, int batch_beam_size, int current_length, int max_length, bool update_only, cudaStream_t stream) override { + cuda::Launch_UpdateAttentionMask(mask_data, old_mask_data, batch_beam_size, current_length, max_length, update_only, stream); + } + + void Launch_UpdateAttentionMask(int64_t* mask_data, const int64_t* old_mask_data, int batch_beam_size, int current_length, int max_length, bool update_only, cudaStream_t stream) override { + cuda::Launch_UpdateAttentionMask(mask_data, old_mask_data, batch_beam_size, current_length, max_length, update_only, stream); + } + + void LaunchHandleEOSArray(float* batch_logits, int batch_beam_size, int vocab_size, const int32_t* eos_token_ids, int eos_token_ids_count, cudaStream_t stream) override { + cuda::LaunchHandleEOSArray(batch_logits, batch_beam_size, vocab_size, eos_token_ids, eos_token_ids_count, stream); + } + + void UpdateCacheIndirectionKernelLauncher(int32_t* tgt_indir_cache, const int32_t* src_indir_cache, const int32_t* beam_ids, int batch_size, int beam_width, int input_seq_length, int max_seq_length, int current_length, cudaStream_t stream) override { + cuda::UpdateCacheIndirectionKernelLauncher(tgt_indir_cache, src_indir_cache, beam_ids, batch_size, beam_width, input_seq_length, max_seq_length, current_length, stream); + } + + void ReorderPastStatesKernelLauncher(void* out_buffer, const void* in_buffer, int batch_size, int num_heads, int max_length, int head_size, int chunk_size, cudaStream_t stream) override { + cuda::ReorderPastStatesKernelLauncher(out_buffer, in_buffer, batch_size, num_heads, max_length, head_size, chunk_size, stream); + } + + void LaunchCopyCrossQKSingleDecodeStep(cudaStream_t stream, float* cross_qk_buffer_data, float** qk_layer_pointers, int token_index, int batch_beam_size, int num_layers, int num_heads, int num_alignment_heads, const int* alignment_heads, int frames, int max_length) override { + cuda::LaunchCopyCrossQKSingleDecodeStep(stream, cross_qk_buffer_data, qk_layer_pointers, token_index, batch_beam_size, num_layers, num_heads, num_alignment_heads, alignment_heads, frames, max_length); + } + + void LaunchFinalizeCrossQK(cudaStream_t stream, int iteration_number, int context_decoding_len, int batch_size, int num_beams, int max_length, int num_alignment_heads, int frames_of_k, const float* cross_qk_buffer_data, float* cross_qk_output, int num_return_sequences, const int* cache_indir_data) override { + cuda::LaunchFinalizeCrossQK(stream, iteration_number, context_decoding_len, batch_size, num_beams, max_length, num_alignment_heads, frames_of_k, cross_qk_buffer_data, cross_qk_output, num_return_sequences, cache_indir_data); + } + + cudaError_t cudaStreamCreate(cudaStream_t* stream) override { + return ::cudaStreamCreate(stream); + } + + cudaError_t cudaStreamDestroy(cudaStream_t stream) override { + return ::cudaStreamDestroy(stream); + } + + cudaError_t cudaMemcpyAsync(void* dst, const void* src, size_t count, cudaMemcpyKind kind, cudaStream_t stream) override { + return ::cudaMemcpyAsync(dst, src, count, kind, stream); + } + + cudaError_t cudaMemcpy(void* dst, const void* src, size_t count, cudaMemcpyKind kind) override { + return ::cudaMemcpy(dst, src, count, kind); + } + + cudaError_t cudaMemsetAsync(void* ptr, int value, size_t count, cudaStream_t stream) override { + return ::cudaMemsetAsync(ptr, value, count, stream); + } + + cudaError_t cudaMemset(void* ptr, int value, size_t count) override { + return ::cudaMemset(ptr, value, count); + } + + cudaError_t cudaMalloc(void** ptr, size_t size) override { + return ::cudaMalloc(ptr, size); + } + + cudaError_t cudaFree(void* ptr) override { + return ::cudaFree(ptr); + } + + cudaError_t cudaHostAlloc(void** ptr, size_t size, unsigned int flags) override { + return ::cudaHostAlloc(ptr, size, flags); + } + + cudaError_t cudaFreeHost(void* ptr) override { + return ::cudaFreeHost(ptr); + } +} g_cuda_device; + +DeviceInterface& GetCudaDeviceInterface() { return g_cuda_device; } +GenaiInterface* gp_genai{}; + +LogItems& GetLogItems() { return gp_genai->GetLogItems(); } +std::ostream& operator<<(std::ostream& stream, SGR sgr_code) { return gp_genai->operator_leftshift(stream, sgr_code); } +std::ostream& Log(std::string_view label, std::string_view text) { return gp_genai->Log(label, text); } + +// Duplicate of logging.cpp function +std::ostream& Log(std::string_view label, const char* fmt, ...) { + va_list args; + va_start(args, fmt); + va_list args_copy; + va_copy(args_copy, args); + size_t len = vsnprintf(0, 0, fmt, args_copy); + if (len <= 0) { + throw std::runtime_error("Invalid format"); + } + std::unique_ptr buf(new char[len + 1]); + vsnprintf(buf.get(), len + 1, fmt, args); + va_end(args); + return Log(label, std::string(buf.get(), buf.get() + len)); +} + +template <> +void DumpSpan(std::ostream& stream, std::span values) { return gp_genai->DumpSpan(stream, values); } +template <> +void DumpSpan(std::ostream& stream, std::span values) { return gp_genai->DumpSpan(stream, values); } + +} // namespace Generators + +#ifdef _WIN32 +// Override default new/delete so that we match the host's allocator +_Ret_notnull_ _Post_writable_byte_size_(n) void* operator new(size_t n) { return Generators::gp_genai->HeapAllocate(n); } +void operator delete(void* p) noexcept { Generators::gp_genai->HeapFree(p); } +void operator delete(void* p, size_t /*size*/) noexcept { Generators::gp_genai->HeapFree(p); } +#endif + +extern "C" { +Generators::CudaInterface* GetInterface(GenaiInterface* p_genai) { + Generators::gp_genai = p_genai; + return &Generators::g_cuda_device; +} +} diff --git a/src/cuda/interface.h b/src/cuda/interface.h new file mode 100644 index 000000000..346e72041 --- /dev/null +++ b/src/cuda/interface.h @@ -0,0 +1,51 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +struct GenaiInterface { +#if _WIN32 + virtual void* HeapAllocate(size_t size) = 0; + virtual void HeapFree(void*) = 0; +#endif + + virtual Generators::LogItems& GetLogItems() = 0; + virtual std::ostream& operator_leftshift(std::ostream& stream, Generators::SGR sgr_code) = 0; + virtual std::ostream& Log(std::string_view label, std::string_view text = {}) = 0; + + virtual void DumpSpan(std::ostream& stream, std::span values) = 0; + virtual void DumpSpan(std::ostream& stream, std::span values) = 0; +}; + +namespace Generators { +LogItems& GetLogItems(); + +#if USE_CUDA +DeviceInterface& GetCudaDeviceInterface(); + +struct CudaInterface : DeviceInterface { + virtual void Int32ToInt64(const int32_t* input, int64_t* output, int count, cudaStream_t stream) = 0; + virtual void Fp16ToFp32(const uint16_t* input, float* output, int count, cudaStream_t stream) = 0; + virtual void Fp32ToFp16(const float* input, uint16_t* output, int count, cudaStream_t stream) = 0; + + virtual void Launch_UpdatePositionIds(int32_t* position_ids, int batch_beam_size, cudaStream_t stream) = 0; + virtual void Launch_UpdatePositionIds(int64_t* position_ids, int batch_beam_size, cudaStream_t stream) = 0; + virtual void Launch_UpdateAttentionMask(int32_t* mask_data, const int32_t* old_mask_data, int batch_beam_size, int current_length, int max_length, bool update_only, cudaStream_t stream) = 0; + virtual void Launch_UpdateAttentionMask(int64_t* mask_data, const int64_t* old_mask_data, int batch_beam_size, int current_length, int max_length, bool update_only, cudaStream_t stream) = 0; + virtual void LaunchHandleEOSArray(float* batch_logits, int batch_beam_size, int vocab_size, const int32_t* eos_token_ids, int eos_token_ids_count, cudaStream_t stream) = 0; + virtual void UpdateCacheIndirectionKernelLauncher(int32_t* tgt_indir_cache, const int32_t* src_indir_cache, const int32_t* beam_ids, int batch_size, int beam_width, int input_seq_length, int max_seq_length, int current_length, cudaStream_t stream) = 0; + virtual void ReorderPastStatesKernelLauncher(void* out_buffer, const void* in_buffer, int batch_size, int num_heads, int max_length, int head_size, int chunk_size, cudaStream_t stream) = 0; + virtual void LaunchCopyCrossQKSingleDecodeStep(cudaStream_t stream, float* cross_qk_buffer_data, float** qk_layer_pointers, int token_index, int batch_beam_size, int num_layers, int num_heads, int num_alignment_heads, const int* alignment_heads, int frames, int max_length) = 0; + virtual void LaunchFinalizeCrossQK(cudaStream_t stream, int iteration_number, int context_decoding_len, int batch_size, int num_beams, int max_length, int num_alignment_heads, int frames_of_k, const float* cross_qk_buffer_data, float* cross_qk_output, int num_return_sequences, const int* cache_indir_data) = 0; + + virtual cudaError_t cudaStreamCreate(cudaStream_t* stream) = 0; + virtual cudaError_t cudaStreamDestroy(cudaStream_t stream) = 0; + virtual cudaError_t cudaMemcpyAsync(void* dst, const void* src, size_t count, cudaMemcpyKind kind, cudaStream_t stream) = 0; + virtual cudaError_t cudaMemcpy(void* dst, const void* src, size_t count, cudaMemcpyKind kind) = 0; + virtual cudaError_t cudaMemsetAsync(void* ptr, int value, size_t count, cudaStream_t stream) = 0; + virtual cudaError_t cudaMemset(void* ptr, int value, size_t count) = 0; + virtual cudaError_t cudaMalloc(void** ptr, size_t size) = 0; + virtual cudaError_t cudaFree(void* ptr) = 0; + virtual cudaError_t cudaHostAlloc(void** ptr, size_t size, unsigned int flags) = 0; + virtual cudaError_t cudaFreeHost(void* ptr) = 0; +}; +#endif +} // namespace Generators diff --git a/src/cuda/model_kernels.cu b/src/cuda/model_kernels.cu new file mode 100644 index 000000000..c93e20497 --- /dev/null +++ b/src/cuda/model_kernels.cu @@ -0,0 +1,381 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. +#include +#include +#include +#include +#include +#include + +namespace Generators { +namespace cuda { + +template +__global__ void UpdatePositionIds(T* positions, int batch_beam_size) { + int i = blockIdx.x * blockDim.x + threadIdx.x; + if (i < batch_beam_size) + positions[i]++; +} + +template +void Launch_UpdatePositionIds(T* positions, int batch_beam_size, cudaStream_t stream) { + UpdatePositionIds<<<(batch_beam_size + 255) / 256, 256, 0, stream>>>(positions, batch_beam_size); +} + +template void Launch_UpdatePositionIds(int32_t* positions, int batch_beam_size, cudaStream_t stream); +template void Launch_UpdatePositionIds(int64_t* positions, int batch_beam_size, cudaStream_t stream); + +template +__global__ void CopyAndUpdateAttentionMask(T* mask_data, const T* old_mask_data, int batch_beam_size, + int current_length, int max_length) { + int global_index = blockIdx.x * blockDim.x + threadIdx.x; + int i = global_index / current_length; + int j = global_index % current_length; + if (i < batch_beam_size) { + if (j < current_length - 1) { + mask_data[i * max_length + j] = old_mask_data[i * (current_length - 1) + j]; + } else { + mask_data[i * max_length + j] = 1; + } + } +} + +template +__global__ void UpdateAttentionMask(T* mask_data, int batch_beam_size, int current_length, int max_length) { + int i = blockIdx.x; + if (i < batch_beam_size) { + mask_data[i * max_length + current_length] = 1; + } +} + +template +void Launch_UpdateAttentionMask(T* mask_data, const T* old_mask_data, int batch_beam_size, int current_length, + int max_length, bool update_only, cudaStream_t stream) { + if (update_only) { + UpdateAttentionMask + <<>>(mask_data, batch_beam_size, current_length, max_length); + } else { + CopyAndUpdateAttentionMask<<<(batch_beam_size * max_length + 255) / 256, 256, 0, stream>>>( + mask_data, old_mask_data, batch_beam_size, current_length, max_length); + } +} + +template void Launch_UpdateAttentionMask(int32_t* mask_data, const int32_t* old_mask_data, int batch_beam_size, + int current_length, int max_length, bool update_only, cudaStream_t stream); +template void Launch_UpdateAttentionMask(int64_t* mask_data, const int64_t* old_mask_data, int batch_beam_size, + int current_length, int max_length, bool update_only, cudaStream_t stream); + +__global__ void HandleEOSArray(float* batch_logits, int batch_beam_size, int vocab_size, const int32_t* eos_token_ids, int eos_token_ids_count) { + int index = blockIdx.x * blockDim.x + threadIdx.x; + if (index >= batch_beam_size) + return; + + float* logits = batch_logits + index * vocab_size; + float max = std::numeric_limits::lowest(); + for (int i = 0; i < eos_token_ids_count; i++) { + max = std::max(max, logits[eos_token_ids[i]]); + logits[eos_token_ids[i]] = std::numeric_limits::lowest(); // Set all EOS token options to never happen (the first will get the max of all) + } + + logits[eos_token_ids[0]] = max; // Set the score of the primary EOS token to the highest of any of the EOS tokens +} + +void LaunchHandleEOSArray(float* batch_logits, int batch_beam_size, int vocab_size, const int32_t* eos_token_ids, int eos_token_ids_count, cudaStream_t stream) { + HandleEOSArray<<<(batch_beam_size + 255) / 256, 256, 0, stream>>>(batch_logits, batch_beam_size, vocab_size, eos_token_ids, eos_token_ids_count); +} + +__global__ void ConvertFp16ToFp32(const half* src, float* dst, int count) { + int idx = threadIdx.x + blockIdx.x * blockDim.x; + if (idx < count) + dst[idx] = __half2float(src[idx]); +} + +void LaunchFp16ToFp32(const uint16_t* fp16, float* fp32, int count, cudaStream_t stream) { + int block_size = 256; + int num_blocks = (count + block_size - 1) / block_size; + ConvertFp16ToFp32<<>>(reinterpret_cast(fp16), fp32, count); +} + +__global__ void ConvertFp32ToFp16(const float* src, half* dst, int count) { + int idx = threadIdx.x + blockIdx.x * blockDim.x; + if (idx < count) + dst[idx] = __float2half(src[idx]); +} + +void LaunchFp32ToFp16(const float* fp32, uint16_t* fp16, int count, cudaStream_t stream) { + int block_size = 256; + int num_blocks = (count + block_size - 1) / block_size; + ConvertFp32ToFp16<<>>(fp32, reinterpret_cast(fp16), count); +} + +__global__ void ConvertInt32ToInt64(const int32_t* src, int64_t* dst, int count) { + int idx = threadIdx.x + blockIdx.x * blockDim.x; + if (idx < count) { + dst[idx] = src[idx]; + } +} + +void LaunchInt32ToInt64(const int32_t* src, int64_t* dst, int count, cudaStream_t stream) { + int block_size = 256; + int num_blocks = (count + block_size - 1) / block_size; + ConvertInt32ToInt64<<>>(src, dst, count); +} + +namespace { + +struct ReorderPastStateParams { + // Support head_size up to 128 + constexpr static unsigned int kTileSize = 32; + constexpr static unsigned int kSeqTileSize = 16; +}; + +} // namespace + +__global__ void ReorderPastStatesKernel(float4* out_buffer, + const float4* in_buffer, + int batch_size, + int num_heads, + int max_length, + int chunked_head_size) { + __shared__ float4 tile[ReorderPastStateParams::kSeqTileSize][ReorderPastStateParams::kTileSize + 1]; + + const int b = blockIdx.z; + const int n = blockIdx.y; + const int s_base = blockIdx.x * ReorderPastStateParams::kSeqTileSize; + const int s = s_base + threadIdx.y; + const int base_offset = (b * num_heads + n) * max_length * chunked_head_size; + + if (s < max_length) { + const int in_offset = base_offset + s * chunked_head_size + threadIdx.x; + tile[threadIdx.y][threadIdx.x] = in_buffer[in_offset]; + } + + __syncthreads(); + + const int tidx = threadIdx.x + threadIdx.y * chunked_head_size; + const int tidx_x = tidx % ReorderPastStateParams::kSeqTileSize; + const int tidx_y = tidx / ReorderPastStateParams::kSeqTileSize; + + const int s2 = s_base + tidx_x; + + if (s2 < max_length) { + const int out_offset = base_offset + tidx_y * max_length + s2; + out_buffer[out_offset] = tile[tidx_x][tidx_y]; + } +} + +void ReorderPastStatesKernelLauncher(void* out_buffer, + const void* in_buffer, + int batch_size, + int num_heads, + int max_length, + int head_size, + int chunk_size, + cudaStream_t stream) { + // [B, N, max_length, H2(head_size/chunk_size), equv_chunk_size] -> [B, N, H2(head_size/chunk_size), max_length, equv_chunk_size] + const int chunked_head_size = head_size / chunk_size; + const dim3 block(chunked_head_size, ReorderPastStateParams::kSeqTileSize); + const dim3 grid((max_length + ReorderPastStateParams::kSeqTileSize - 1) / ReorderPastStateParams::kSeqTileSize, num_heads, batch_size); + if (chunk_size == 4 || chunk_size == 8) { + ReorderPastStatesKernel<<>>(reinterpret_cast(out_buffer), + reinterpret_cast(in_buffer), + batch_size, + num_heads, + max_length, + chunked_head_size); + } +} + +__global__ void UpdateCacheIndirectionKernel(int32_t* tgt_indir_cache, + const int32_t* src_indir_cache, + const int32_t* beam_ids, + int batch_size, + int beam_width, + int input_seq_length, + int max_seq_length, + int current_length) { + int time_step = threadIdx.x + blockIdx.x * blockDim.x; + int bb_id = threadIdx.y + blockIdx.y * blockDim.y; + const int batch_id = bb_id / beam_width; + const int beam_id = bb_id % beam_width; + + if (bb_id >= beam_width * batch_size || time_step >= current_length) { + return; + } + + const int src_beam = beam_ids[batch_id * beam_width + beam_id] % beam_width; + + const int tgt_offset = batch_id * beam_width * max_seq_length + beam_id * max_seq_length + time_step; + + if (time_step < input_seq_length) { + // For time steps that correspond to the input sequence, + // the beam that it comes from is always 0. + tgt_indir_cache[tgt_offset] = static_cast(0); + } else if (time_step == (current_length - 1)) { + // For the final (newly generated) time step, + // the beam that it comes from is always the beam that we + // are currently processing (i.e.) from this point on, these time-steps + // form the new beams. + tgt_indir_cache[tgt_offset] = static_cast(beam_id); + } else { + // For all other time-steps, we look up the source indirection, to + // see which beam it came from based on the `src_beam`. + const int src_offset = batch_id * beam_width * max_seq_length + src_beam * max_seq_length + time_step; + tgt_indir_cache[tgt_offset] = src_indir_cache[src_offset]; + } +} + +void UpdateCacheIndirectionKernelLauncher(int32_t* tgt_indir_cache, + const int32_t* src_indir_cache, + const int32_t* beam_ids, + int batch_size, + int beam_width, + int input_seq_length, + int max_seq_length, + int current_length, + cudaStream_t stream) { + const dim3 block(32); + const dim3 grid((current_length + block.x - 1) / block.x, batch_size * beam_width); + UpdateCacheIndirectionKernel<<>>(tgt_indir_cache, + src_indir_cache, + beam_ids, + batch_size, + beam_width, + input_seq_length, + max_seq_length, + current_length); +} + +template +__global__ void CopyCrossQKSingleDecodeStepKernel(T* target, // shape [batch_beam_size, num_alignment_heads, max_length, frames] + T** qk_layer_pointers, + int token_index, + int num_layers, + int num_heads, + const int* alignment_heads, + int frames, + int max_length) { + const int pair = blockIdx.x; + const int num_alignment_heads = gridDim.x; + const int bbm = blockIdx.y; + alignment_heads += (pair * 2); + const int layer = *alignment_heads; + const int head = *(alignment_heads + 1); + + target += ((int64_t)bbm * num_alignment_heads + pair) * max_length * frames + ((int64_t)token_index * frames); + T* src = qk_layer_pointers[layer] + ((int64_t)bbm * num_heads + head) * frames; + + for (int tid = threadIdx.x; tid < frames; tid += blockDim.x) { + target[tid] = src[tid]; // use vectorized read write in future if needed + } +} + +template +void LaunchCopyCrossQKSingleDecodeStep(cudaStream_t stream, + T* cross_qk_buffer_data, + T** qk_layer_pointers, + int token_index, + int batch_beam_size, + int num_layers, + int num_heads, + int num_alignment_heads, + const int* alignment_heads, + int frames, + int max_length) { + dim3 block(512); + dim3 grid(num_alignment_heads, batch_beam_size); + + CopyCrossQKSingleDecodeStepKernel<<>>(cross_qk_buffer_data, + qk_layer_pointers, + token_index, + num_layers, + num_heads, + alignment_heads, + frames, + max_length); +} + +template void LaunchCopyCrossQKSingleDecodeStep(cudaStream_t stream, + float* cross_qk_buffer_data, + float** qk_layer_pointers, + int token_index, + int batch_beam_size, + int num_layers, + int num_heads, + int num_alignment_heads, + const int* alignment_heads, + int frames, + int max_length); + +template +__global__ void CopyDecoderCrossQKAllStepsKernel(int context_decoding_len, + int num_beams, + int num_return_sequences, + int max_length, + int frames_of_k, + const T* cross_qk_buffer_data, // [batch, num_beams, num_alignment_heads, max_length, frames] + T* cross_qk_output, // [batch, num_return_sequences, num_alignment_heads, total_decoding_length, frames] + const int* cache_indir_data) { // [batch, num_beams, max_length] + const int pair = blockIdx.y; + const int num_alignment_heads = gridDim.y; + const int total_decoding_length = gridDim.x; + const int token_decoding_index = blockIdx.x; + const int br = blockIdx.z; + const int batch = br / num_return_sequences; + const int ret_seq_id = br % num_return_sequences; + + const int64_t offset_in_cache = ((int64_t)batch * num_return_sequences + ret_seq_id) * max_length + token_decoding_index + context_decoding_len; + int bi_src = batch * num_beams + cache_indir_data[offset_in_cache]; + + T* target = cross_qk_output + (((int64_t)br * num_alignment_heads + (int64_t)pair) * total_decoding_length + token_decoding_index) * frames_of_k; + const T* src = cross_qk_buffer_data + (((int64_t)bi_src * num_alignment_heads + (int64_t)pair) * max_length + token_decoding_index) * frames_of_k; + for (int tid = threadIdx.x; tid < frames_of_k; tid += blockDim.x) { + target[tid] = src[tid]; // use vectorized read write in future if needed + } +} + +template +void LaunchFinalizeCrossQK(cudaStream_t stream, + int iteration_number, + int context_decoding_len, + int batch_size, + int num_beams, + int max_length, + int num_alignment_heads, + int frames_of_k, + const T* cross_qk_buffer_data, + T* cross_qk_output, + int num_return_sequences, + const int* cache_indir_data) { + int64_t br = (int64_t)batch_size * num_return_sequences; + assert(br < 65536L && num_alignment_heads < 65536); + + const int total_decoding_length = iteration_number - 1; + dim3 block(512); + dim3 grid(total_decoding_length, num_alignment_heads, (unsigned)br); + + CopyDecoderCrossQKAllStepsKernel<<>>(context_decoding_len, + num_beams, + num_return_sequences, + max_length, + frames_of_k, + cross_qk_buffer_data, + cross_qk_output, + cache_indir_data); +} + +template void LaunchFinalizeCrossQK(cudaStream_t stream, + int iteration_number, + int context_decoding_len, + int batch_size, + int num_beams, + int max_length, + int num_alignment_heads, + int frames_of_k, + const float* cross_qk_buffer_data, + float* cross_qk_output, + int num_return_sequences, + const int* cache_indir_data); + +} // namespace cuda +} // namespace Generators diff --git a/src/search_cuda.cpp b/src/cuda/search_cuda.cpp similarity index 85% rename from src/search_cuda.cpp rename to src/cuda/search_cuda.cpp index 160d102b1..eb7adf74d 100644 --- a/src/search_cuda.cpp +++ b/src/cuda/search_cuda.cpp @@ -1,4 +1,5 @@ #include "generators.h" +#include "interface.h" #include "search.h" #include "search_cuda.h" #include "beam_search_scorer_cuda.cuh" @@ -39,7 +40,7 @@ GreedySearch_Cuda::GreedySearch_Cuda(const GeneratorParams& params) random_seed = params_->search.random_seed; else random_seed = std::random_device{}(); - samplingdata_ = std::make_unique(random_seed, params_->batch_size, params_->vocab_size, params_->cuda_stream); + samplingdata_ = std::make_unique(random_seed, params_->batch_size, params_->config.model.vocab_size, params_->cuda_stream); } BeamSearch_Cuda::BeamSearch_Cuda(const GeneratorParams& params) @@ -51,7 +52,7 @@ BeamSearch_Cuda::BeamSearch_Cuda(const GeneratorParams& params) topk_next_tokens_ = CudaMallocArray(2 * batch_beam_size); topk_next_indices_ = CudaMallocArray(2 * batch_beam_size); topk_next_scores_ = CudaMallocArray(2 * batch_beam_size); - softmax_buffer_ = CudaMallocArray(batch_beam_size * params_->vocab_size); + softmax_buffer_ = CudaMallocArray(batch_beam_size * params_->config.model.vocab_size); constexpr size_t max_parts_of_vocab = 128; size_t topk_buffer_size = batch_beam_size * (max_parts_of_vocab + 1) * params_->search.num_beams * 2 * 2; @@ -63,6 +64,10 @@ BeamSearch_Cuda::BeamSearch_Cuda(const GeneratorParams& params) BeamSearch_Cuda::~BeamSearch_Cuda() = default; +RoamingArray Search_Cuda::GetLogits() const { + return next_token_scores_; +} + void Search_Cuda::SetLogits(RoamingArray logits_unk) { next_token_scores_ = logits_unk.GetGPU(); } @@ -84,12 +89,12 @@ int Search_Cuda::GetSequenceLength() const { } void BeamSearch_Cuda::SelectTop() { - cuda::DispatchBlockwiseSoftmaxForward(const_cast(¶ms_->cuda_stream), softmax_buffer_.get(), next_token_scores_.data(), params_->vocab_size, - params_->vocab_size, params_->vocab_size, params_->BatchBeamSize()); + cuda::DispatchBlockwiseSoftmaxForward(const_cast(¶ms_->cuda_stream), softmax_buffer_.get(), next_token_scores_.data(), params_->config.model.vocab_size, + params_->config.model.vocab_size, params_->config.model.vocab_size, params_->BatchBeamSize()); // Copy next_token_scores to CPU - auto next_token_scores_cpu = CudaMallocHostArray(params_->BatchBeamSize() * params_->vocab_size); - cudaMemcpyAsync(next_token_scores_cpu.get(), softmax_buffer_.get(), params_->BatchBeamSize() * params_->vocab_size * sizeof(float), cudaMemcpyDeviceToHost, params_->cuda_stream); + auto next_token_scores_cpu = CudaMallocHostArray(params_->BatchBeamSize() * params_->config.model.vocab_size); + cudaMemcpyAsync(next_token_scores_cpu.get(), softmax_buffer_.get(), params_->BatchBeamSize() * params_->config.model.vocab_size * sizeof(float), cudaMemcpyDeviceToHost, params_->cuda_stream); CudaCheck() == cudaStreamSynchronize(params_->cuda_stream); auto beam_scores = beam_scorer_->GetNextScores(); @@ -97,7 +102,7 @@ void BeamSearch_Cuda::SelectTop() { // Add beam score to next token scores. Corresponding python code is like: // next_token_scores = next_token_scores + beam_scores[:, None].expand_as(next_token_scores) cuda::LaunchAddProbsKernel(softmax_buffer_.get(), beam_scores.data(), - params_->batch_size, params_->search.num_beams, params_->vocab_size, params_->cuda_stream); + params_->batch_size, params_->search.num_beams, params_->config.model.vocab_size, params_->cuda_stream); if (params_->search.num_beams <= 32) { constexpr size_t max_parts_of_vocab = 128; @@ -111,7 +116,7 @@ void BeamSearch_Cuda::SelectTop() { cuda::BeamSearchTopK(softmax_buffer_.get(), params_->batch_size, params_->search.num_beams, - params_->vocab_size, + params_->config.model.vocab_size, 2 * params_->search.num_beams, topk_scores_1st_stage, topk_tokens_1st_stage, @@ -145,7 +150,7 @@ void BeamSearch_Cuda::SelectTop() { } void GreedySearch_Cuda::SelectTop() { - std::span scores = next_token_scores_.subspan(0, params_->batch_size * params_->vocab_size); + std::span scores = next_token_scores_.subspan(0, params_->batch_size * params_->config.model.vocab_size); cuda::GetSample(samplingdata_.get(), params_->cuda_stream, next_tokens_.data(), scores.data(), int(scores.size() / params_->batch_size), params_->batch_size, 1, 0.0, 1.0); CheckForEOS(); @@ -153,7 +158,7 @@ void GreedySearch_Cuda::SelectTop() { } void GreedySearch_Cuda::SampleTopP(float p, float temperature) { - std::span scores = next_token_scores_.subspan(0, params_->batch_size * params_->vocab_size); + std::span scores = next_token_scores_.subspan(0, params_->batch_size * params_->config.model.vocab_size); cuda::GetSample(samplingdata_.get(), params_->cuda_stream, next_tokens_.data(), scores.data(), int(scores.size() / params_->batch_size), params_->batch_size, -1, p, temperature); CheckForEOS(); @@ -161,7 +166,7 @@ void GreedySearch_Cuda::SampleTopP(float p, float temperature) { } void GreedySearch_Cuda::SampleTopK(int k, float temperature) { - std::span scores = next_token_scores_.subspan(0, params_->batch_size * params_->vocab_size); + std::span scores = next_token_scores_.subspan(0, params_->batch_size * params_->config.model.vocab_size); cuda::GetSample(samplingdata_.get(), params_->cuda_stream, next_tokens_.data(), scores.data(), int(scores.size() / params_->batch_size), params_->batch_size, k, 0.0, temperature); CheckForEOS(); @@ -169,7 +174,7 @@ void GreedySearch_Cuda::SampleTopK(int k, float temperature) { } void GreedySearch_Cuda::SampleTopKTopP(int k, float p, float temperature) { - std::span scores = next_token_scores_.subspan(0, params_->batch_size * params_->vocab_size); + std::span scores = next_token_scores_.subspan(0, params_->batch_size * params_->config.model.vocab_size); cuda::GetSample(samplingdata_.get(), params_->cuda_stream, next_tokens_.data(), scores.data(), int(scores.size() / params_->batch_size), params_->batch_size, k, p, temperature); CheckForEOS(); @@ -178,14 +183,14 @@ void GreedySearch_Cuda::SampleTopKTopP(int k, float p, float temperature) { void GreedySearch_Cuda::CheckForEOS() { assert(next_tokens_.size() == eos_meet_.size()); - cuda::Launch_CheckForEOS(next_tokens_.data(), static_cast(next_tokens_.size()), eos_meet_.data(), params_->eos_token_id, params_->pad_token_id, done_cpu_.get(), params_->cuda_stream); + cuda::Launch_CheckForEOS(next_tokens_.data(), static_cast(next_tokens_.size()), eos_meet_.data(), params_->config.model.eos_token_id, params_->config.model.pad_token_id, done_cpu_.get(), params_->cuda_stream); } void GreedySearch_Cuda::AppendNextTokensToSequences() { sequences_.AppendNextTokenToSequences(next_tokens_); if (sequences_.GetSequenceLength() == params_->search.max_length) { - if (g_log.enabled && g_log.hit_max_length) + if (GetLogItems().enabled && GetLogItems().hit_max_length) Log("hit_max_length", "greedy cuda hit"); *done_cpu_ = true; } @@ -196,7 +201,7 @@ bool BeamSearch_Cuda::IsDone() const { return true; if (sequences_.GetSequenceLength() == params_->search.max_length) { - if (g_log.enabled && g_log.hit_max_length) + if (GetLogItems().enabled && GetLogItems().hit_max_length) Log("hit_max_length", "beam cuda hit"); return true; } @@ -214,14 +219,14 @@ void BeamSearch_Cuda::Finalize(size_t num_return_sequences) { finalized_ = true; } -RoamingArray BeamSearch_Cuda::GetSequence(size_t index) { +DeviceMemorySpan BeamSearch_Cuda::GetSequence(size_t index) { Finalize(params_->search.num_return_sequences); const size_t batch_id = index / params_->search.num_return_sequences; const size_t beam_id = index % params_->search.num_return_sequences; return beam_scorer_->GetBeamHypothesis(batch_id, beam_id); } -RoamingArray BeamSearch_Cuda::GetSequence(size_t batch_id, size_t beam_id) { +DeviceMemorySpan BeamSearch_Cuda::GetSequence(size_t batch_id, size_t beam_id) { Finalize(params_->search.num_return_sequences); return beam_scorer_->GetBeamHypothesis(batch_id, beam_id); } @@ -246,7 +251,7 @@ void GreedySearch::Finalize(size_t num_return_sequences, std::span outp std::span Search_Cuda::GetScores(int batch_beam_index) { assert(batch_beam_index >= 0 && batch_beam_index < params_->BatchBeamSize()); - return next_token_scores_.subspan(batch_beam_index * params_->vocab_size, params_->vocab_size); + return next_token_scores_.subspan(batch_beam_index * params_->config.model.vocab_size, params_->config.model.vocab_size); } std::span Search_Cuda::GetScores() { @@ -257,15 +262,15 @@ void Search_Cuda::ApplyMinLength(int min_length) { if (sequences_.GetSequenceLength() >= min_length) return; - cuda::LaunchSetScoreProcessor(GetScores().data(), params_->BatchBeamSize(), params_->vocab_size, params_->eos_token_id, std::numeric_limits::lowest(), params_->cuda_stream); + cuda::LaunchSetScoreProcessor(GetScores().data(), params_->BatchBeamSize(), params_->config.model.vocab_size, params_->config.model.eos_token_id, std::numeric_limits::lowest(), params_->cuda_stream); } void Search_Cuda::ApplyRepetitionPenalty(float penalty) { if (penalty == 1.0f) return; - cuda::LaunchRepetitionPenaltyProcessor(sequences_.GetSequences().data(), - GetScores().data(), params_->batch_size, params_->search.num_beams, params_->vocab_size, + cuda::LaunchRepetitionPenaltyProcessor(sequences_.GetSequences().DeviceSpan().data(), + GetScores().data(), params_->batch_size, params_->search.num_beams, params_->config.model.vocab_size, params_->search.max_length, GetSequenceLength(), penalty, params_->cuda_stream); } diff --git a/src/search_cuda.cu b/src/cuda/search_cuda.cu similarity index 99% rename from src/search_cuda.cu rename to src/cuda/search_cuda.cu index 24fbaf914..7df9f700b 100644 --- a/src/search_cuda.cu +++ b/src/cuda/search_cuda.cu @@ -2,6 +2,7 @@ #include #include #include "generators.h" +#include "interface.h" #include "search_cuda.cuh" namespace Generators { diff --git a/src/search_cuda.cuh b/src/cuda/search_cuda.cuh similarity index 100% rename from src/search_cuda.cuh rename to src/cuda/search_cuda.cuh diff --git a/src/search_cuda.h b/src/cuda/search_cuda.h similarity index 90% rename from src/search_cuda.h rename to src/cuda/search_cuda.h index 8a699b880..f3e536bd2 100644 --- a/src/search_cuda.h +++ b/src/cuda/search_cuda.h @@ -12,13 +12,15 @@ struct Search_Cuda : Search { int GetSequenceLength() const override; RoamingArray GetSequenceLengths() override { return sequence_lengths_; } - RoamingArray GetSequence(size_t index) override { return sequences_.GetSequence(index); } + DeviceMemorySpan GetSequence(size_t index) override { return sequences_.GetSequence(index); } bool IsDone() const { cudaStreamSynchronize(params_->cuda_stream); return *done_cpu_; } // TODO: Use an event - void SetLogits(RoamingArray logits); + + RoamingArray GetLogits() const override; + void SetLogits(RoamingArray logits) override; void ApplyMinLength(int min_length) override; void ApplyRepetitionPenalty(float penalty) override; @@ -69,8 +71,8 @@ struct BeamSearch_Cuda : Search_Cuda { RoamingArray GetNextTokens() override; RoamingArray GetNextIndices() override; // In Beam Search there are batch_size * num_beams sequences. Index is batch_id * num_beams + beam_id... Easier to use the other version. - RoamingArray GetSequence(size_t index) override; - RoamingArray GetSequence(size_t batch_id, size_t beam_id); + DeviceMemorySpan GetSequence(size_t index) override; + DeviceMemorySpan GetSequence(size_t batch_id, size_t beam_id); void SelectTop() override; diff --git a/src/sequences_cuda.cpp b/src/cuda/sequences_cuda.cpp similarity index 72% rename from src/sequences_cuda.cpp rename to src/cuda/sequences_cuda.cpp index 8f7a643e5..efed79bff 100644 --- a/src/sequences_cuda.cpp +++ b/src/cuda/sequences_cuda.cpp @@ -2,6 +2,7 @@ // Licensed under the MIT License. #include "generators.h" +#include "interface.h" #include "sequences_cuda.h" namespace Generators { @@ -18,14 +19,11 @@ Sequences_Cuda::Sequences_Cuda(std::span input_sequences, int bat assert(current_length_ * batch_size == input_sequences.size()); // Ensure size divided perfectly size_t sequences_size = batch_beam_size_ * max_length; - if (beam_size == 1) { - sequences_buffer_ = CudaMallocArray(sequences_size); - sequences_ = gpu_span(sequences_buffer_.get(), sequences_size); - } else { - sequences_buffer_ = CudaMallocArray(2 * sequences_size); - sequences_ = gpu_span(sequences_buffer_.get(), sequences_size); - sequences_next_ = gpu_span(sequences_buffer_.get() + sequences_size, sequences_size); - } + auto& device = GetCudaDeviceInterface(); + + sequences_ = device.Allocate(sequences_size, false /*cpu_accessible*/); + if (beam_size > 1) + sequences_next_ = device.Allocate(sequences_size, false /*cpu_accessible*/); // TODO: input_sequences will be in cuda memory in the future, for now make a temp copy @@ -33,13 +31,12 @@ Sequences_Cuda::Sequences_Cuda(std::span input_sequences, int bat auto input_sequences_temp = CudaMallocArray(input_sequences.size(), &input_sequences_gpu); cudaMemcpyAsync(input_sequences_gpu.data(), input_sequences.data(), input_sequences.size_bytes(), cudaMemcpyHostToDevice, stream); - cuda::Launch_ExpandInputSequences(input_sequences_gpu, sequences_, batch_size, beam_size, current_length_, max_length, stream_); + cuda::Launch_ExpandInputSequences(input_sequences_gpu, sequences_->DeviceSpan(), batch_size, beam_size, current_length_, max_length, stream_); cudaStreamSynchronize(stream); // Until we remove the todo above, wait for this to complete as input_sequences_gpu is on the stack } -RoamingArray Sequences_Cuda::GetSequence(size_t batch_beam_index) { - auto span = sequences_.subspan(batch_beam_index * max_length_, current_length_); - return gpu_span{span.data(), span.size()}; +DeviceMemorySpan Sequences_Cuda::GetSequence(size_t batch_beam_index) { + return sequences_->subspan(batch_beam_index * max_length_, current_length_); } int Sequences_Cuda::GetSequenceLength() const { @@ -47,13 +44,13 @@ int Sequences_Cuda::GetSequenceLength() const { } void Sequences_Cuda::AppendNextTokenToSequences(std::span next_tokens) { - if (g_log.enabled && g_log.append_next_tokens) { + if (GetLogItems().enabled && GetLogItems().append_next_tokens) { auto& stream = Log("append_next_tokens"); DumpCudaSpan(stream, next_tokens); stream << std::endl; } - cuda::Launch_AppendNextTokenToSequences(next_tokens, sequences_, batch_beam_size_, current_length_, max_length_, stream_); + cuda::Launch_AppendNextTokenToSequences(next_tokens, sequences_->DeviceSpan(), batch_beam_size_, current_length_, max_length_, stream_); ++current_length_; } diff --git a/src/sequences_cuda.cu b/src/cuda/sequences_cuda.cu similarity index 100% rename from src/sequences_cuda.cu rename to src/cuda/sequences_cuda.cu diff --git a/src/sequences_cuda.h b/src/cuda/sequences_cuda.h similarity index 69% rename from src/sequences_cuda.h rename to src/cuda/sequences_cuda.h index 8dc9038c3..cc138851e 100644 --- a/src/sequences_cuda.h +++ b/src/cuda/sequences_cuda.h @@ -6,9 +6,9 @@ struct Sequences_Cuda { Sequences_Cuda(std::span input_sequences, int batch_size, int beam_size, int max_length, cudaStream_t stream); // Returns a sequence of word IDs for a given beam index ( beam_index < batch_beam_size). - RoamingArray GetSequence(size_t batch_beam_index); - gpu_span GetSequences() { return sequences_; } - gpu_span GetNextSequences() { return sequences_next_; } + DeviceMemorySpan GetSequence(size_t batch_beam_index); + DeviceMemory& GetSequences() { return *sequences_; } + DeviceMemory& GetNextSequences() { return *sequences_next_; } void AppendNextTokenToSequences(std::span next_tokens); @@ -17,14 +17,13 @@ struct Sequences_Cuda { void AfterDeviceAppendedNextToken(); private: - cuda_unique_ptr sequences_buffer_; cudaStream_t stream_; // Two buffers of shape (batch_size, num_beams, max_seq_length) to store sequences. // At each time, there is only one buffer is active. The other one will be active in next token. // Each AppendNextTokenToSequences call will trigger a rotation of active buffer. - gpu_span sequences_; - gpu_span sequences_next_; // This only exists for beam search, to allow for the easy reordering of sequences + std::shared_ptr> sequences_; + std::shared_ptr> sequences_next_; // This only exists for beam search, to allow for the easy reordering of sequences int batch_beam_size_; int max_length_; diff --git a/src/cuda/symbols.def b/src/cuda/symbols.def new file mode 100644 index 000000000..3bd1ace65 --- /dev/null +++ b/src/cuda/symbols.def @@ -0,0 +1,2 @@ +EXPORTS + GetInterface diff --git a/src/cuda/version_script.lds b/src/cuda/version_script.lds new file mode 100644 index 000000000..0f621732c --- /dev/null +++ b/src/cuda/version_script.lds @@ -0,0 +1,9 @@ +#_init and _fini should be local +VERS_1.0 { + global: + GetInterface; + + # Hide everything else. + local: + *; +}; \ No newline at end of file diff --git a/src/cuda_common.h b/src/cuda_common.h deleted file mode 100644 index 394e5ca00..000000000 --- a/src/cuda_common.h +++ /dev/null @@ -1,12 +0,0 @@ -namespace Generators { - -void OnCudaError(cudaError_t error); - -struct CudaCheck { - void operator==(cudaError_t error) { - if (error != cudaSuccess) - OnCudaError(error); - } -}; - -} // namespace Generators diff --git a/src/generators.cpp b/src/generators.cpp index 237bc4c0e..1d5e74ff4 100644 --- a/src/generators.cpp +++ b/src/generators.cpp @@ -5,15 +5,46 @@ #include "sequences.h" #include "models/model.h" #include "search.h" +#include "cuda/interface.h" #if USE_CUDA -#include "search_cuda.h" +#include "cuda/search_cuda.h" +#include "models/kernels.h" +#endif + +#if _WIN32 +EXTERN_C IMAGE_DOS_HEADER __ImageBase; + +std::string CurrentModulePath() { + char path[MAX_PATH]; + GetModuleFileNameA((HINSTANCE)&__ImageBase, path, _countof(path)); + + char absolute_path[MAX_PATH]; + char* name; + GetFullPathNameA(path, _countof(path), absolute_path, &name); + + auto idx = std::distance(absolute_path, name); + auto out_path = std::string(absolute_path); + out_path.resize(idx); + + return out_path; +} #endif namespace Generators { +#if USE_CUDA +// TODO: Remove once we remove all dependencies +void OnCudaError(cudaError_t error) { assert(false); } +#endif + static bool _ = (Ort::InitApi(), false); -OrtGlobals::OrtGlobals() : env_{OrtEnv::Create(OrtLoggingLevel::ORT_LOGGING_LEVEL_ERROR)} {} +OrtGlobals::OrtGlobals() + : env_{OrtEnv::Create(OrtLoggingLevel::ORT_LOGGING_LEVEL_ERROR)} { + auto arena_config = OrtArenaCfg::Create(0, -1, -1, -1); + Ort::Allocator& allocator_cpu{Ort::Allocator::GetWithDefaultOptions()}; + env_->CreateAndRegisterAllocator(allocator_cpu.GetInfo(), *arena_config); +} // Ensure Shutdown() has been called before process exit struct ValidateShutdown { @@ -52,6 +83,108 @@ OrtEnv& GetOrtEnv() { return *GetOrtGlobals()->env_; } +struct GenaiInterfaceImpl : GenaiInterface { +#if _WIN32 + void* HeapAllocate(size_t size) override { return std::malloc(size); } + void HeapFree(void* p) override { std::free(p); } +#endif + + Generators::LogItems& GetLogItems() override { return g_log; } + std::ostream& operator_leftshift(std::ostream& stream, Generators::SGR sgr_code) override { return stream << sgr_code; } + std::ostream& Log(std::string_view label, std::string_view text = {}) override { return Log(label, text); } + + void DumpSpan(std::ostream& stream, std::span values) override { return DumpSpan(stream, values); } + virtual void DumpSpan(std::ostream& stream, std::span values) override { return DumpSpan(stream, values); } +} g_genai; + +const char* label_cpu = "cpu"; + +struct CpuMemory : DeviceMemoryBase { + CpuMemory(size_t size) { + size_in_bytes_ = size; + p_cpu_ = p_device_ = new uint8_t[size_in_bytes_]; + } + + ~CpuMemory() override { + delete[] p_device_; + } + + const char* GetType() const override { return label_cpu; } + bool IsCpuAccessible() const override { return true; } + void GetOnCpu() override { assert(false); } // Should never be called, as p_cpu_ is always valid + void CopyFromDevice(size_t begin_dest, DeviceMemoryBase& source, size_t begin_source, size_t size_in_bytes) override { + if (GetType() == label_cpu) + memcpy(p_device_ + begin_dest, source.p_device_ + begin_source, size_in_bytes); + else + throw std::runtime_error("CpuMemory::CopyFromDevice not implemented for " + std::string(source.GetType())); + } +}; + +struct CpuInterface : DeviceInterface { + std::shared_ptr AllocateBase(size_t size, bool cpu_accessible) override { + assert(cpu_accessible == true); + return std::make_shared(size); + } + + std::unique_ptr CreateGreedy(const GeneratorParams& params) override { return nullptr; } + std::unique_ptr CreateBeam(const GeneratorParams& params) override { return nullptr; } +} g_cpu; + +DeviceInterface& GetCpuDeviceInterface() { + return g_cpu; +} + +#if USE_CUDA +CudaInterface* GetCudaInterface() { +// Load the shared library onnxruntime-genai-cuda.dll +// This is a workaround to avoid linking the CUDA library to the generator library +// The CUDA library is only needed for the CUDA allocator +#ifdef _WIN32 + static std::unique_ptr cuda_library{LoadLibrary((CurrentModulePath() + "onnxruntime-genai-cuda.dll").c_str()), + [](void* h) { FreeLibrary(reinterpret_cast(h)); }}; +#else + static std::unique_ptr cuda_library{dlopen((Ort::GetCurrentModuleDir() + "/libonnxruntime-genai-cuda.so").c_str(), RTLD_NOW | RTLD_DEEPBIND), + [](void* h) { dlclose(h); }}; +#endif + + if (!cuda_library) + throw std::runtime_error("Cuda interface not available"); + + Generators::CudaInterface* GetInterface(GenaiInterface * p_genai); + static CudaInterface* cuda_interface{[] { +#ifdef _WIN32 + auto get_cuda_fn = reinterpret_cast(GetProcAddress(reinterpret_cast(cuda_library.get()), "GetInterface")); +#else + auto get_cuda_fn = reinterpret_cast(dlsym(cuda_library.get(), "GetInterface")); +#endif + return get_cuda_fn(&g_genai); + }()}; + + return cuda_interface; +} + +namespace cuda { +void LaunchInt32ToInt64(const int32_t* input, int64_t* output, int count, cudaStream_t stream) { GetCudaInterface()->Int32ToInt64(input, output, count, stream); } +void LaunchFp16ToFp32(const uint16_t* input, float* output, int count, cudaStream_t stream) { GetCudaInterface()->Fp16ToFp32(input, output, count, stream); } +void LaunchFp32ToFp16(const float* input, uint16_t* output, int count, cudaStream_t stream) { GetCudaInterface()->Fp32ToFp16(input, output, count, stream); } +template <> +void Launch_UpdatePositionIds(int32_t* position_ids, int batch_beam_size, cudaStream_t stream) { GetCudaInterface()->Launch_UpdatePositionIds(position_ids, batch_beam_size, stream); } +template <> +void Launch_UpdatePositionIds(int64_t* position_ids, int batch_beam_size, cudaStream_t stream) { GetCudaInterface()->Launch_UpdatePositionIds(position_ids, batch_beam_size, stream); } +template <> +void Launch_UpdateAttentionMask(int32_t* mask_data, const int32_t* old_mask_data, int batch_beam_size, int current_length, int max_length, bool update_only, cudaStream_t stream) { GetCudaInterface()->Launch_UpdateAttentionMask(mask_data, old_mask_data, batch_beam_size, current_length, max_length, update_only, stream); } +template <> +void Launch_UpdateAttentionMask(int64_t* mask_data, const int64_t* old_mask_data, int batch_beam_size, int current_length, int max_length, bool update_only, cudaStream_t stream) { GetCudaInterface()->Launch_UpdateAttentionMask(mask_data, old_mask_data, batch_beam_size, current_length, max_length, update_only, stream); } +void LaunchHandleEOSArray(float* batch_logits, int batch_beam_size, int vocab_size, const int32_t* eos_token_ids, int eos_token_ids_count, cudaStream_t stream) { GetCudaInterface()->LaunchHandleEOSArray(batch_logits, batch_beam_size, vocab_size, eos_token_ids, eos_token_ids_count, stream); } +void UpdateCacheIndirectionKernelLauncher(int32_t* tgt_indir_cache, const int32_t* src_indir_cache, const int32_t* beam_ids, int batch_size, int beam_width, int input_seq_length, int max_seq_length, int current_length, cudaStream_t stream) { GetCudaInterface()->UpdateCacheIndirectionKernelLauncher(tgt_indir_cache, src_indir_cache, beam_ids, batch_size, beam_width, input_seq_length, max_seq_length, current_length, stream); } +void ReorderPastStatesKernelLauncher(void* out_buffer, const void* in_buffer, int batch_size, int num_heads, int max_length, int head_size, int chunk_size, cudaStream_t stream) { GetCudaInterface()->ReorderPastStatesKernelLauncher(out_buffer, in_buffer, batch_size, num_heads, max_length, head_size, chunk_size, stream); } +template <> +void LaunchCopyCrossQKSingleDecodeStep(cudaStream_t stream, float* cross_qk_buffer_data, float** qk_layer_pointers, int token_index, int batch_beam_size, int num_layers, int num_heads, int num_alignment_heads, const int* alignment_heads, int frames, int max_length) { GetCudaInterface()->LaunchCopyCrossQKSingleDecodeStep(stream, cross_qk_buffer_data, qk_layer_pointers, token_index, batch_beam_size, num_layers, num_heads, num_alignment_heads, alignment_heads, frames, max_length); } +template <> +void LaunchFinalizeCrossQK(cudaStream_t stream, int iteration_number, int context_decoding_len, int batch_size, int num_beams, int max_length, int num_alignment_heads, int frames_of_k, const float* cross_qk_buffer_data, float* cross_qk_output, int num_return_sequences, const int* cache_indir_data) { GetCudaInterface()->LaunchFinalizeCrossQK(stream, iteration_number, context_decoding_len, batch_size, num_beams, max_length, num_alignment_heads, frames_of_k, cross_qk_buffer_data, cross_qk_output, num_return_sequences, cache_indir_data); } +} // namespace cuda +#endif + std::string to_string(DeviceType device_type) { switch (device_type) { case DeviceType::CPU: @@ -60,20 +193,20 @@ std::string to_string(DeviceType device_type) { return "CUDA"; case DeviceType::DML: return "DirectML"; + case DeviceType::WEBGPU: + return "WebGpu"; } throw std::runtime_error("Unknown device type"); } +GeneratorParams::GeneratorParams(const Config& config) : config{config} { +} + GeneratorParams::GeneratorParams(const Model& model) - : search{model.config_->search}, - pad_token_id{model.config_->model.pad_token_id}, - eos_token_id{model.config_->model.eos_token_id}, - vocab_size{model.config_->model.vocab_size}, - hidden_size{model.config_->model.decoder.hidden_size}, + : config{*model.config_.get()}, device_type{model.device_type_}, cuda_stream{model.cuda_stream_}, - is_cuda_graph_enabled_{IsCudaGraphEnabled(model.config_->model.decoder.session_options)}, - config_{model.config_.get()} { + is_cuda_graph_enabled_{IsCudaGraphEnabled(model.config_->model.decoder.session_options)} { use_cuda_graph = is_cuda_graph_enabled_; if (use_cuda_graph) { max_batch_size = 1; // set it to 1 by default @@ -107,7 +240,7 @@ void GeneratorParams::SetInputs(const NamedTensors& named_tensors) { } else { // If the nominal name is found in the map, use the graph name. // Else, use the nominal name as the graph name. - [[maybe_unused]] const auto [graph_name, found] = config_->GetGraphName(name); + [[maybe_unused]] const auto [graph_name, found] = config.GetGraphName(name); extra_inputs.push_back({graph_name, tensor}); } } @@ -121,8 +254,8 @@ std::unique_ptr CreateSearch(const GeneratorParams& params) { #if USE_CUDA if (params.device_type == DeviceType::CUDA) { if (params.search.num_beams > 1) - return std::make_unique(params); - return std::make_unique(params); + return GetCudaInterface()->CreateBeam(params); + return GetCudaInterface()->CreateGreedy(params); } #endif @@ -139,8 +272,8 @@ Generator::Generator(const Model& model, const GeneratorParams& params) : model_ throw std::runtime_error("max_length (" + std::to_string(params.search.max_length) + ") cannot be greater than model context_length (" + std::to_string(model.config_->model.context_length) + ")"); if (params.batch_size < 1) throw std::runtime_error("batch_size must be 1 or greater, is " + std::to_string(params.batch_size)); - if (params.vocab_size < 1) - throw std::runtime_error("vocab_size must be 1 or greater, is " + std::to_string(params.vocab_size)); + if (params.config.model.vocab_size < 1) + throw std::runtime_error("vocab_size must be 1 or greater, is " + std::to_string(params.config.model.vocab_size)); if (params.sequence_length >= params.search.max_length) throw std::runtime_error("input sequence_length (" + std::to_string(params.sequence_length) + ") is >= max_length (" + std::to_string(params.search.max_length) + ")"); if (params.input_ids.empty() || params.input_ids.data() == nullptr) @@ -172,7 +305,12 @@ bool Generator::IsDone() const { if (computed_logits_) throw std::runtime_error("IsDone() can't be called in the middle of processing logits"); - return search_->IsDone(); + bool is_done = search_->IsDone(); + if (is_done) { + state_->Finalize(); + } + + return is_done; } void Generator::GenerateNextToken() { @@ -216,7 +354,7 @@ void Generator::GenerateNextToken() { } } -RoamingArray Generator::GetSequence(size_t index) const { +DeviceMemorySpan Generator::GetSequence(size_t index) const { return search_->GetSequence(index); } @@ -229,9 +367,10 @@ TokenSequences Generate(const Model& model, const GeneratorParams& params) { } TokenSequences result; + for (int i = 0; i < params.batch_size * params.search.num_return_sequences; i++) { auto sequence = generator->search_->GetSequence(i); - auto sequence_cpu = sequence.GetCPU(); + auto sequence_cpu = sequence.CpuSpan(); auto& v = result.emplace_back(); v.assign(sequence_cpu.begin(), sequence_cpu.end()); @@ -240,3 +379,16 @@ TokenSequences Generate(const Model& model, const GeneratorParams& params) { } } // namespace Generators + +#if USE_CUDA +cudaError_t cudaStreamCreate(cudaStream_t* stream) { return Generators::GetCudaInterface()->cudaStreamCreate(stream); } +cudaError_t cudaStreamDestroy(cudaStream_t stream) { return Generators::GetCudaInterface()->cudaStreamDestroy(stream); } +cudaError_t cudaMemcpyAsync(void* dst, const void* src, size_t count, cudaMemcpyKind kind, cudaStream_t stream) { return Generators::GetCudaInterface()->cudaMemcpyAsync(dst, src, count, kind, stream); } +cudaError_t cudaMemcpy(void* dst, const void* src, size_t count, cudaMemcpyKind kind) { return Generators::GetCudaInterface()->cudaMemcpy(dst, src, count, kind); } +cudaError_t cudaMemsetAsync(void* ptr, int value, size_t count, cudaStream_t stream) { return Generators::GetCudaInterface()->cudaMemsetAsync(ptr, value, count, stream); } +cudaError_t cudaMemset(void* ptr, int value, size_t count) { return Generators::GetCudaInterface()->cudaMemset(ptr, value, count); } +cudaError_t cudaMalloc(void** ptr, size_t size) { return Generators::GetCudaInterface()->cudaMalloc(ptr, size); } +cudaError_t cudaFree(void* ptr) { return Generators::GetCudaInterface()->cudaFree(ptr); } +cudaError_t cudaHostAlloc(void** ptr, size_t size, unsigned int flags) { return Generators::GetCudaInterface()->cudaHostAlloc(ptr, size, flags); } +cudaError_t cudaFreeHost(void* ptr) { return Generators::GetCudaInterface()->cudaFreeHost(ptr); } +#endif diff --git a/src/generators.h b/src/generators.h index 634e518b0..c36ed6b33 100644 --- a/src/generators.h +++ b/src/generators.h @@ -25,7 +25,7 @@ #include #if USE_CUDA #include -#include "cuda_common.h" +#include "cuda/cuda_common.h" #else // If we don't include cuda_runtime.h, we define this to avoid lots of extra #ifdefs using cudaStream_t = void*; @@ -37,6 +37,7 @@ using cudaStream_t = void*; #include "models/debugging.h" #include "config.h" #include "logging.h" +#include "runtime_settings.h" #include "tensor.h" namespace Generators { @@ -52,54 +53,33 @@ enum struct DeviceType { CPU, CUDA, DML, + WEBGPU, }; std::string to_string(DeviceType device_type); struct GeneratorParams : std::enable_shared_from_this, LeakChecked { - GeneratorParams() = default; // This constructor is only used if doing a custom model handler vs built-in + GeneratorParams(const Config& config); // This constructor is only used for internal generator benchmarks GeneratorParams(const Model& model); - Config::Search search; - - // Read only values copied from model - int pad_token_id{}; - int eos_token_id{}; - int vocab_size{}; - int context_length{}; + const Config& config; // The model outlives the GeneratorParams + Config::Search search{config.search}; // Copy of the search parameters from the config int batch_size{1}; int max_batch_size{0}; bool use_cuda_graph{}; int sequence_length{}; - int hidden_size{}; int BatchBeamSize() const { return search.num_beams * batch_size; } DeviceType device_type{DeviceType::CPU}; cudaStream_t cuda_stream{}; -#if 0 - struct Bert { - std::span input_ids; // Array of [batchsize][sequence_length] - }; - - struct Gpt { - using Gpt=Bert; - }; - - struct T5 { - std::span encoder_input_ids; // Array of [batchsize][sequence_length] - std::span decoder_input_ids; // Array of [batchsize][sequence_length] - }; - using Bart=T5; - -#endif - // TODO: Move this to a separate GPT struct std::span input_ids; // Array of [batchsize][sequence_length] struct Whisper { - std::shared_ptr input_features; // float32 [batch_size, number_of_mels, something that is 3000] + std::shared_ptr input_features; // float32 [batch_size, number_of_mels, number_of_frames] + std::shared_ptr alignment_heads; // int32 [num_alignment_heads, 2] }; std::variant inputs; @@ -122,8 +102,6 @@ struct GeneratorParams : std::enable_shared_from_this, LeakChec private: bool is_cuda_graph_enabled_{}; - const Config* config_{nullptr}; // Non owning pointer to the config. - // The model outlives the GeneratorParams }; struct Generator : LeakChecked { @@ -133,7 +111,7 @@ struct Generator : LeakChecked { void ComputeLogits(); void GenerateNextToken(); - RoamingArray GetSequence(size_t index) const; + DeviceMemorySpan GetSequence(size_t index) const; std::shared_ptr model_; std::unique_ptr state_; @@ -158,9 +136,9 @@ std::unique_ptr& GetOrtGlobals(); void Shutdown(); // Do this once at exit, Ort code will fail after this call OrtEnv& GetOrtEnv(); -std::shared_ptr CreateModel(OrtEnv& ort_env, const char* config_path); +std::shared_ptr CreateModel(OrtEnv& ort_env, const char* config_path, const RuntimeSettings* settings = nullptr); std::shared_ptr CreateGeneratorParams(const Model& model); -std::shared_ptr CreateGeneratorParams(); // For benchmarking purposes only +std::shared_ptr CreateGeneratorParams(const Config& config); // For benchmarking purposes only std::unique_ptr CreateGenerator(const Model& model, const GeneratorParams& params); std::vector> Generate(const Model& model, const GeneratorParams& params); // Uses CreateGenerator and a simple loop to return the entire sequence diff --git a/src/java/CMakeLists.txt b/src/java/CMakeLists.txt index 27d9e18d3..f2f114a98 100644 --- a/src/java/CMakeLists.txt +++ b/src/java/CMakeLists.txt @@ -107,12 +107,6 @@ add_custom_command(TARGET onnxruntime-genai-jni POST_BUILD COMMAND ${CMAKE_COMMAND} -E copy_if_different $ ${JAVA_PACKAGE_LIB_DIR}/$) - -# also need the onnxruntime libraries in the same directory as onnxruntime-genai.dll has a dependency on it -foreach (ort_dll ${onnxruntime_libs}) - add_custom_command(TARGET onnxruntime-genai-jni POST_BUILD - COMMAND ${CMAKE_COMMAND} -E copy_if_different ${ort_dll} ${JAVA_PACKAGE_LIB_DIR}) -endforeach() # Add the JNI bindings to the native-jni dir add_custom_command(TARGET onnxruntime-genai-jni POST_BUILD diff --git a/src/java/src/main/java/ai/onnxruntime/genai/Tensor.java b/src/java/src/main/java/ai/onnxruntime/genai/Tensor.java index 455baf3a6..d5946c23e 100644 --- a/src/java/src/main/java/ai/onnxruntime/genai/Tensor.java +++ b/src/java/src/main/java/ai/onnxruntime/genai/Tensor.java @@ -5,12 +5,16 @@ package ai.onnxruntime.genai; import java.nio.ByteBuffer; +import java.nio.ByteOrder; public final class Tensor implements AutoCloseable { - private long nativeHandle = -1; + private long nativeHandle = 0; private final ElementType elementType; private final long[] shape; + // Buffer that owns the Tensor data. + private ByteBuffer dataBuffer = null; + // The values in this enum must match ONNX values // https://github.com/onnx/onnx/blob/159fa47b7c4d40e6d9740fcf14c36fff1d11ccd8/onnx/onnx.proto#L499-L544 public enum ElementType { @@ -33,7 +37,7 @@ public enum ElementType { /** * Constructs a Tensor with the given data, shape and element type. * - * @param data The data for the Tensor. Must be a direct ByteBuffer. + * @param data The data for the Tensor. Must be a direct ByteBuffer with native byte order. * @param shape The shape of the Tensor. * @param elementType The type of elements in the Tensor. * @throws GenAIException @@ -51,8 +55,14 @@ public Tensor(ByteBuffer data, long[] shape, ElementType elementType) throws Gen "Tensor data must be direct. Allocate with ByteBuffer.allocateDirect"); } + // for now, require native byte order as the bytes will be used directly. + if (data.order() != ByteOrder.nativeOrder()) { + throw new GenAIException("Tensor data must have native byte order."); + } + this.elementType = elementType; this.shape = shape; + this.dataBuffer = data; // save a reference so the owning buffer will stay around. nativeHandle = createTensor(data, shape, elementType.ordinal()); } diff --git a/src/models/adapters.cpp b/src/models/adapters.cpp new file mode 100644 index 000000000..3840c9b88 --- /dev/null +++ b/src/models/adapters.cpp @@ -0,0 +1,73 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +#include "../generators.h" +#include "model.h" + +namespace Generators { + +Adapter::Adapter(const char* adapter_file_path, Ort::Allocator* allocator) + : adapter_{OrtLoraAdapter::Create(fs::path(adapter_file_path).c_str(), *allocator)} {} + +const OrtLoraAdapter* Adapter::AcquireRef() { + ref_count_++; + + return adapter_.get(); +} + +void Adapter::ReleaseRef() { + ref_count_--; + if (ref_count_ < 0) { + throw std::runtime_error("Adapter ref count went negative."); + } +} + +int32_t Adapter::RefCount() const { + return ref_count_; +} + +Adapters::Adapters(const Model* model) : model_{model} {} + +void Adapters::LoadAdapter(const char* adapter_file_path, const std::string& adapter_name) { + if (adapters_.find(adapter_name) != adapters_.end()) { + throw std::runtime_error("Adapter already loaded: " + std::string{adapter_name}); + } + + adapters_.emplace(adapter_name, std::make_unique(adapter_file_path, + model_->allocator_device_ == &model_->allocator_cpu_ + ? nullptr + : model_->allocator_device_)); +} + +void Adapters::UnloadAdapter(const std::string& adapter_name) { + auto adapter = adapters_.find(adapter_name); + if (adapter == adapters_.end()) { + throw std::runtime_error("Adapter not found: " + std::string{adapter_name}); + } + + if (adapter->second->RefCount() > 0) { + throw std::runtime_error("Adapter still in use: " + std::string{adapter_name}); + } + + adapters_.erase(adapter); +} + +const OrtLoraAdapter* Adapters::AcquireAdapter(const std::string& adapter_name) { + auto adapter = adapters_.find(adapter_name); + if (adapter == adapters_.end()) { + throw std::runtime_error("Adapter not found: " + std::string{adapter_name}); + } + + return adapter->second->AcquireRef(); +} + +void Adapters::ReleaseAdapter(const std::string& adapter_name) { + auto adapter = adapters_.find(adapter_name); + if (adapter == adapters_.end()) { + throw std::runtime_error("Adapter not found: " + std::string{adapter_name}); + } + + adapter->second->ReleaseRef(); +} + +} // namespace Generators diff --git a/src/models/adapters.h b/src/models/adapters.h new file mode 100644 index 000000000..b6b1e034c --- /dev/null +++ b/src/models/adapters.h @@ -0,0 +1,47 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. +#pragma once + +namespace Generators { + +struct Adapter { + Adapter() = delete; + Adapter(const Adapter&) = delete; + Adapter& operator=(const Adapter&) = delete; + + Adapter(const char* adapter_file_path, Ort::Allocator* allocator); + + const OrtLoraAdapter* AcquireRef(); + + void ReleaseRef(); + + int32_t RefCount() const; + + private: + int32_t ref_count_{}; + std::unique_ptr adapter_; +}; + +struct Adapters : std::enable_shared_from_this { + Adapters() = delete; + Adapters(const Adapters&) = delete; + Adapters& operator=(const Adapters&) = delete; + + Adapters(const Model* model); + + void LoadAdapter(const char* adapter_file_path, const std::string& adapter_name); + + void UnloadAdapter(const std::string& adapter_name); + + const OrtLoraAdapter* AcquireAdapter(const std::string& adapter_name); + + void ReleaseAdapter(const std::string& adapter_name); + + std::shared_ptr external_owner_; + + private: + const Model* model_; + std::unordered_map> adapters_; +}; + +} // namespace Generators diff --git a/src/models/audio_processor.cpp b/src/models/audio_processor.cpp new file mode 100644 index 000000000..3b0ac53ed --- /dev/null +++ b/src/models/audio_processor.cpp @@ -0,0 +1,82 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +#include "../generators.h" +#include "model.h" + +namespace Generators { + +namespace { + +std::unique_ptr ProcessMel(ort_extensions::OrtxObjectPtr& mel, + ONNXTensorElementDataType expected_type, Ort::Allocator& allocator) { + if (!(expected_type == ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT || expected_type == ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT16)) { + throw std::runtime_error("Expected input_features to be of type float or float16. Actual: " + std::to_string(expected_type)); + } + + const float* mel_data{}; + const int64_t* shape{}; + size_t num_dims; + CheckResult(OrtxGetTensorData(mel.get(), reinterpret_cast(&mel_data), &shape, &num_dims)); + std::span shape_span(shape, num_dims); + auto input_features_value = expected_type == ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT + ? OrtValue::CreateTensor(allocator, shape_span) + : OrtValue::CreateTensor(allocator, shape_span); + if (expected_type == ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT) { + std::copy(mel_data, mel_data + input_features_value->GetTensorTypeAndShapeInfo()->GetElementCount(), + input_features_value->GetTensorMutableData()); + } else { + auto input_features_fp32 = OrtValue::CreateTensor( + allocator.GetInfo(), + std::span(const_cast(mel_data), input_features_value->GetTensorTypeAndShapeInfo()->GetElementCount()), + shape_span); + ConvertFp32ToFp16(allocator, *input_features_fp32, input_features_value, DeviceType::CPU, nullptr); + } + + return input_features_value; +} + +} // namespace + +std::unique_ptr LoadAudios(const std::span& audio_paths) { + for (const char* audio_path : audio_paths) { + if (!fs::path(audio_path).exists()) { + throw std::runtime_error("Audio path does not exist: " + std::string(audio_path)); + } + } + ort_extensions::OrtxObjectPtr audios; + CheckResult(OrtxLoadAudios(ort_extensions::ptr(audios), audio_paths.data(), audio_paths.size())); + + return std::make_unique(std::move(audios), audio_paths.size()); +} + +AudioProcessor::AudioProcessor(Config& config, const SessionInfo& session_info) + : input_features_type_{session_info.GetInputDataType(config.model.encoder_decoder_init.inputs.input_features)} { + const std::string default_processor_file_name = "audio_processor_config.json"; + auto processor_config = (config.config_path / fs::path(default_processor_file_name)).string(); + processor_ = ort_extensions::OrtxObjectPtr(OrtxCreateSpeechFeatureExtractor, processor_config.c_str()); + + config.AddMapping(std::string(Config::Defaults::InputFeaturesName), config.model.encoder_decoder_init.inputs.input_features); +} + +std::unique_ptr AudioProcessor::Process(const Audios* audios) const { + if (!audios || !audios->audios_) { + throw std::runtime_error("No audios provided to process."); + } + + Ort::Allocator& allocator{Ort::Allocator::GetWithDefaultOptions()}; + auto named_tensors = std::make_unique(); + + ort_extensions::OrtxObjectPtr result; + CheckResult(OrtxSpeechLogMel(processor_.get(), audios->audios_.get(), ort_extensions::ptr(result))); + + ort_extensions::OrtxObjectPtr mel; + CheckResult(OrtxTensorResultGetAt(result.get(), 0, ort_extensions::ptr(mel))); + + named_tensors->emplace(std::string(Config::Defaults::InputFeaturesName), + std::make_shared(ProcessMel(mel, input_features_type_, allocator))); + + return named_tensors; +} + +} // namespace Generators diff --git a/src/models/audio_processor.h b/src/models/audio_processor.h new file mode 100644 index 000000000..e611cc009 --- /dev/null +++ b/src/models/audio_processor.h @@ -0,0 +1,38 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +#include "ortx_cpp_helper.h" +#include "speech_extractor.h" +#include "utils.h" + +namespace Generators { + +struct Audios { + Audios(ort_extensions::OrtxObjectPtr audios, size_t num_audios) + : audios_(std::move(audios)), num_audios_{num_audios} {} + + Audios() = delete; + Audios(const Audios&) = delete; + Audios& operator=(const Audios&) = delete; + + ort_extensions::OrtxObjectPtr audios_; + size_t num_audios_{}; +}; + +std::unique_ptr LoadAudios(const std::span& audio_paths); + +struct AudioProcessor { + AudioProcessor(Config& config, const SessionInfo& session_info); + + AudioProcessor() = delete; + AudioProcessor(const AudioProcessor&) = delete; + AudioProcessor& operator=(const AudioProcessor&) = delete; + + std::unique_ptr Process(const Audios* audios) const; + + private: + ort_extensions::OrtxObjectPtr processor_; + ONNXTensorElementDataType input_features_type_; +}; + +} // namespace Generators diff --git a/src/models/debugging.cpp b/src/models/debugging.cpp index cdca66869..6b8621148 100644 --- a/src/models/debugging.cpp +++ b/src/models/debugging.cpp @@ -4,6 +4,11 @@ #include "utils.h" #include +#if USE_DML +#include "../dml/dml_helpers.h" +#include "model.h" +#endif + namespace Generators { static constexpr size_t c_value_count = 10; // Dump this many values from the start of a tensor @@ -42,18 +47,6 @@ void DumpSpan(std::ostream& stream, std::span values) { } } -#if USE_CUDA -template -void DumpCudaSpan(std::ostream& stream, std::span data) { - auto cpu_copy = std::make_unique(data.size()); - CudaCheck() == cudaMemcpy(cpu_copy.get(), data.data(), data.size_bytes(), cudaMemcpyDeviceToHost); - - DumpSpan(stream, std::span{cpu_copy.get(), data.size()}); -} -template void DumpCudaSpan(std::ostream&, std::span); -template void DumpCudaSpan(std::ostream&, std::span); -#endif - template bool DumpSpan(std::ostream& stream, ONNXTensorElementDataType type, const void* p_values_raw, size_t count, Ort::TypeList) { return ((type == Ort::TypeToTensorType && (DumpSpan(stream, std::span{reinterpret_cast(p_values_raw), count}), true)) || ...); @@ -71,7 +64,7 @@ void DumpValues(std::ostream& stream, ONNXTensorElementDataType type, const void stream << SGR::Fg_Green << "]" << SGR::Reset << std::endl; } -void DumpTensor(std::ostream& stream, OrtValue* value, bool dump_value) { +void DumpTensor(const Model& model, std::ostream& stream, OrtValue* value, bool dump_value) { auto type_info = value->GetTensorTypeAndShapeInfo(); auto shape = type_info->GetShape(); stream << SGR::Fg_Green << "Shape[ " << SGR::Reset; @@ -100,9 +93,29 @@ void DumpTensor(std::ostream& stream, OrtValue* value, bool dump_value) { size_t element_size = SizeOf(type); auto cpu_copy = std::make_unique(element_size * element_count); CudaCheck() == cudaMemcpy(cpu_copy.get(), value->GetTensorRawData(), element_size * element_count, cudaMemcpyDeviceToHost); + DumpValues(stream, type, cpu_copy.get(), element_count); +#elif USE_DML + auto type = type_info->GetElementType(); + size_t element_size = SizeOf(type); + auto cpu_copy = std::make_unique(element_size * element_count); + + if (value->GetTensorMutableRawData()) { + ComPtr gpu_resource; + Ort::ThrowOnError(model.GetOrtDmlApi()->GetD3D12ResourceFromAllocation( + model.allocator_device_, + value->GetTensorMutableRawData(), + &gpu_resource)); + + model.GetDmlReadbackHeap()->ReadbackFromGpu( + std::span(cpu_copy.get(), element_size * element_count), + gpu_resource.Get(), + 0, + D3D12_RESOURCE_STATE_UNORDERED_ACCESS); + } + DumpValues(stream, type, cpu_copy.get(), element_count); #else - stream << "Unexpected, using GPU memory but not compiled with CUDA?"; + stream << "Unexpected, using GPU memory but not compiled with CUDA or DML?"; #endif break; } @@ -112,10 +125,10 @@ void DumpTensor(std::ostream& stream, OrtValue* value, bool dump_value) { } } -void DumpTensors(std::ostream& stream, OrtValue** values, const char** names, size_t count, bool dump_values) { +void DumpTensors(const Model& model, std::ostream& stream, OrtValue** values, const char** names, size_t count, bool dump_values) { for (size_t i = 0; i < count; i++) { stream << SGR::Fg_Green << "Name: " << SGR::Reset << names[i] << ' '; - DumpTensor(stream, values[i], dump_values); + DumpTensor(model, stream, values[i], dump_values); } } diff --git a/src/models/debugging.h b/src/models/debugging.h index a7c953db2..2fba786e1 100644 --- a/src/models/debugging.h +++ b/src/models/debugging.h @@ -2,8 +2,8 @@ // Licensed under the MIT License. namespace Generators { -void DumpTensor(std::ostream& stream, OrtValue* value, bool dump_value); -void DumpTensors(std::ostream& stream, OrtValue** values, const char** names, size_t count, bool dump_values); +void DumpTensor(const Model& model, std::ostream& stream, OrtValue* value, bool dump_value); +void DumpTensors(const Model& model, std::ostream& stream, OrtValue** values, const char** names, size_t count, bool dump_values); template void DumpSpan(std::ostream& stream, std::span values); diff --git a/src/models/decoder_only.cpp b/src/models/decoder_only.cpp index 206549be3..e91ea14cf 100644 --- a/src/models/decoder_only.cpp +++ b/src/models/decoder_only.cpp @@ -31,7 +31,7 @@ RoamingArray DecoderOnly_State::Run(int current_length, RoamingArray(input_ids_.GetShape()[0]); - State::Run(*model_.session_decoder_, *model_.run_options_, batch_size); + State::Run(*model_.session_decoder_, batch_size); return logits_.Get(); } diff --git a/src/models/decoder_only.h b/src/models/decoder_only.h index cc519de0b..c51a71b91 100644 --- a/src/models/decoder_only.h +++ b/src/models/decoder_only.h @@ -27,11 +27,11 @@ struct DecoderOnly_State : State { const DecoderOnly_Model& model_; CapturedGraphInfoPtr captured_graph_info_; - InputIDs input_ids_{model_, *this}; - Logits logits_{model_, *this}; - KV_Cache kv_cache_{model_, *this}; + InputIDs input_ids_{*this}; + Logits logits_{*this}; + KV_Cache kv_cache_{*this}; PositionInputs position_inputs_; - ExtraInputs extra_inputs_{model_, *this}; + ExtraInputs extra_inputs_{*this}; }; } // namespace Generators diff --git a/src/models/decoder_only_pipeline.cpp b/src/models/decoder_only_pipeline.cpp new file mode 100644 index 000000000..416b3e395 --- /dev/null +++ b/src/models/decoder_only_pipeline.cpp @@ -0,0 +1,261 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +#include "../generators.h" +#include "decoder_only_pipeline.h" + +namespace Generators { + +DecoderOnlyPipelineModel::DecoderOnlyPipelineModel(std::unique_ptr config, OrtEnv& ort_env) + : Model{std::move(config)} { + for (const auto& model : config_->model.decoder.pipeline) { + sessions_.emplace_back(OrtSession::Create(ort_env, (config_->config_path / fs::path(model.filename)).c_str(), + GetSessionOptions(model.model_id))); + + if (!allocator_device_ && model.session_options.has_value()) { + const auto& provider_options = (*model.session_options).provider_options; + if (std::any_of(provider_options.begin(), provider_options.end(), + [](const auto& elem) { return !elem.name.empty(); })) { + InitDeviceAllocator(*sessions_.back()); + } + } + } + + if (!allocator_device_) { + // If the device allocator has not been created, it implies all + // sessions are configured to run on CPU. + // Pick any session to create the device allocator. + // Device allocator is guaranteed to be the cpu allocator. + InitDeviceAllocator(*sessions_.front()); + } + + for (auto& session : sessions_) { + session_info_->Add(*session); + } +} + +std::unique_ptr DecoderOnlyPipelineModel::CreateState(RoamingArray sequence_lengths, + const GeneratorParams& params) const { + return std::make_unique(*this, sequence_lengths, params); +} + +IntermediatePipelineState::IntermediatePipelineState(const DecoderOnlyPipelineModel& model, const GeneratorParams& params, + size_t pipeline_state_index) + : State{params, model}, + id_{pipeline_state_index}, + model_{model} {} + +bool IntermediatePipelineState::HasInput(std::string_view name) const { + return std::any_of(model_.config_->model.decoder.pipeline[id_].inputs.begin(), + model_.config_->model.decoder.pipeline[id_].inputs.end(), + [&name](const std::string& elem) { return elem == name; }); +} + +bool IntermediatePipelineState::HasOutput(std::string_view name) const { + return std::any_of(model_.config_->model.decoder.pipeline[id_].outputs.begin(), + model_.config_->model.decoder.pipeline[id_].outputs.end(), + [&name](const std::string& elem) { return elem == name; }); +} + +bool IntermediatePipelineState::SupportsPrimaryDevice() const { + if (model_.device_type_ == DeviceType::CPU) { + return true; + } else if (model_.device_type_ == DeviceType::CUDA) { + if (!model_.config_->model.decoder.pipeline[id_].session_options.has_value()) { + // No session options, so this session uses the default session options. + // Default session options supports the cuda device type. + return true; + } else if (auto& provider_options = (*model_.config_->model.decoder.pipeline[id_].session_options).provider_options; + std::any_of(provider_options.begin(), provider_options.end(), + [](const Config::ProviderOptions& elem) { return elem.name == "cuda"; })) { + // cuda is listed as one of the providers. This session supports the cuda device type. + return true; + } else { + // cuda is not listed as one of the providers. This session does not support the cuda device type. + return false; + } + } + + return false; +} + +RoamingArray IntermediatePipelineState::Run(int current_length, RoamingArray next_tokens, + RoamingArray next_indices) { + State::Run(*model_.sessions_[id_], params_->BatchBeamSize()); + + return RoamingArray(); +} + +DecoderOnlyPipelineState::DecoderOnlyPipelineState(const DecoderOnlyPipelineModel& model, + RoamingArray sequence_lengths, + const GeneratorParams& params) + : State{params, model}, + model_{model}, + position_inputs_{model, *this, sequence_lengths} { + input_ids_.Add(); + position_inputs_.Add(); + logits_.Add(); + if (KV_Cache::IsCacheNeeded(model)) { + kv_cache_ = std::make_unique(*this); + kv_cache_->Add(); + } + extra_inputs_.Add(); + + for ([[maybe_unused]] const auto& pipeline_model : model_.config_->model.decoder.pipeline) { + pipeline_states_.emplace_back(std::make_unique(model_, params, pipeline_states_.size())); + } +} + +RoamingArray DecoderOnlyPipelineState::Run(int current_length, RoamingArray next_tokens, + RoamingArray next_indices) { + if (!first_run_) { + UpdateInputsOutputs(next_tokens, next_indices, current_length); + } + + for (auto& pipeline_state : pipeline_states_) { + if (first_run_ && !model_.config_->model.decoder.pipeline[pipeline_state->id_].run_on_prompt) { + continue; + } else if (!first_run_ && !model_.config_->model.decoder.pipeline[pipeline_state->id_].run_on_token_gen) { + continue; + } + + // Clear the intermediate pipeline state outputs from the previous runs. + // These outputs will be replaced by the outputs from the current run. + for (const auto& output_name : pipeline_state->output_names_) { + if (auto iter = ortvalue_store_.find(output_name); iter != ortvalue_store_.end()) { + ortvalue_store_.erase(iter); + } + } + pipeline_state->ClearIO(); + + // Managed inputs and outputs are those inputs and outputs that the + // Model knows how to create and update from one run to the next. + + // Add all the managed inputs to the intermediate pipeline state + for (const auto& input_name : input_names_) { + if (pipeline_state->HasInput(input_name)) { + if (!pipeline_state->SupportsPrimaryDevice()) { + std::ostringstream oss; + oss << "Managed input " << input_name << " resides on the primary device type (" + << to_string(model_.device_type_) << "). " + << "But the pipeline model " + << model_.config_->model.decoder.pipeline[pipeline_state->id_].model_id + << " is expecting it to reside elsewhere."; + throw std::runtime_error(oss.str()); + } + pipeline_state->input_names_.push_back(input_name); + pipeline_state->inputs_.push_back(State::GetInput(input_name)); + } + } + + // Add outputs from the previous pipeline states to the current pipeline state + for (auto& [name, ortvalue] : ortvalue_store_) { + if (pipeline_state->HasInput(name)) { + pipeline_state->input_names_.push_back(name.c_str()); + pipeline_state->inputs_.push_back(ortvalue.get()); + } + } + + // Add all the managed outputs to the intermediate pipeline state + for (const auto& output_name : output_names_) { + if (pipeline_state->HasOutput(output_name)) { + if (!pipeline_state->SupportsPrimaryDevice()) { + std::ostringstream oss; + oss << "Managed output " << output_name << " resides on the primary device type (" + << to_string(model_.device_type_) << "). " + << "But the pipeline model " + << model_.config_->model.decoder.pipeline[pipeline_state->id_].model_id + << " is expecting it to reside elsewhere."; + throw std::runtime_error(oss.str()); + } + pipeline_state->output_names_.push_back(output_name); + pipeline_state->outputs_.push_back(State::GetOutput(output_name)); + } + } + + // Output of pipeline models could also be managed inputs. + // For example, the output of a pipeline model could be the key-value cache. + // In such cases, use the managed output buffers and register them with the pipeline model as outputs. + for (const auto& input_name : input_names_) { + if (pipeline_state->HasOutput(input_name)) { + if (!pipeline_state->SupportsPrimaryDevice()) { + std::ostringstream oss; + oss << "Managed input " << input_name << " resides on the primary device type (" + << to_string(model_.device_type_) << "). " + << "But the pipeline model " + << model_.config_->model.decoder.pipeline[pipeline_state->id_].model_id + << " is expecting it to reside elsewhere."; + throw std::runtime_error(oss.str()); + } + pipeline_state->output_names_.push_back(input_name); + pipeline_state->outputs_.push_back(State::GetInput(input_name)); + } + } + + // Add all the remaining outputs for the intermediate pipeline state + for (const auto& output_name : model_.config_->model.decoder.pipeline[pipeline_state->id_].outputs) { + if (std::none_of(pipeline_state->output_names_.begin(), pipeline_state->output_names_.end(), + [&](const std::string& elem) { return elem == output_name; })) { + pipeline_state->output_names_.push_back(output_name.c_str()); + pipeline_state->outputs_.push_back(nullptr); + } + } + + // Run the intermediate pipeline state + pipeline_state->Run(current_length, next_tokens, next_indices); + + // Transfer ownership of all the non-managed outputs from the current pipeline state to the ortvalue store. + // All non managed outputs are assumed to be on CPU + for (size_t i = 0; i < pipeline_state->output_names_.size(); ++i) { + if (std::none_of(output_names_.begin(), output_names_.end(), + [&](const std::string& elem) { return elem == pipeline_state->output_names_[i]; }) && + std::none_of(input_names_.begin(), input_names_.end(), + [&](const std::string& elem) { return elem == pipeline_state->output_names_[i]; })) { + auto forwarded_output = model_.config_->model.decoder.pipeline[pipeline_state->id_].output_names_forwarder.find(pipeline_state->output_names_[i]); + if (forwarded_output != model_.config_->model.decoder.pipeline[pipeline_state->id_].output_names_forwarder.end()) { + ortvalue_store_[forwarded_output->second] = std::unique_ptr(pipeline_state->outputs_[i]); + } else { + ortvalue_store_[pipeline_state->output_names_[i]] = std::unique_ptr(pipeline_state->outputs_[i]); + } + } + } + } + + // Clear the outputs of the pipeline models that are only run on prompt since this cannot happen earlier. + if (!first_run_) { + for (auto& pipeline_state : pipeline_states_) { + if (!model_.config_->model.decoder.pipeline[pipeline_state->id_].run_on_token_gen) { + for (const auto& output_name : pipeline_state->output_names_) { + if (auto iter = ortvalue_store_.find(output_name); iter != ortvalue_store_.end()) { + ortvalue_store_.erase(iter); + } + } + } + } + } + + first_run_ = false; + + return logits_.Get(); +} + +void DecoderOnlyPipelineState::UpdateInputsOutputs(const RoamingArray& next_tokens_unk, + RoamingArray beam_indices, int current_length) { + input_ids_.Update(next_tokens_unk); + position_inputs_.Update(current_length); + if (kv_cache_) kv_cache_->Update(beam_indices.GetCPU(), current_length); + logits_.Update(); +} + +OrtValue* DecoderOnlyPipelineState::GetOutput(const char* name) { + // Check the ortvalue store to search if name is one of the non-managed output. + auto it = ortvalue_store_.find(name); + if (it != ortvalue_store_.end()) { + return it->second.get(); + } + + // Search managed outputs saved in this State. + return State::GetOutput(name); +} + +} // namespace Generators diff --git a/src/models/decoder_only_pipeline.h b/src/models/decoder_only_pipeline.h new file mode 100644 index 000000000..c47022655 --- /dev/null +++ b/src/models/decoder_only_pipeline.h @@ -0,0 +1,78 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +#pragma once + +#include "model.h" +#include "input_ids.h" +#include "logits.h" +#include "kv_cache.h" +#include "position_inputs.h" +#include "extra_inputs.h" + +namespace Generators { + +struct DecoderOnlyPipelineModel : Model { + DecoderOnlyPipelineModel(std::unique_ptr config, OrtEnv& ort_env); + + DecoderOnlyPipelineModel(const DecoderOnlyPipelineModel&) = delete; + DecoderOnlyPipelineModel& operator=(const DecoderOnlyPipelineModel&) = delete; + + std::unique_ptr CreateState(RoamingArray sequence_lengths, + const GeneratorParams& params) const override; + + std::vector> sessions_; +}; + +struct IntermediatePipelineState : State { + IntermediatePipelineState(const DecoderOnlyPipelineModel& model, const GeneratorParams& params, + size_t pipeline_state_index); + + IntermediatePipelineState(const IntermediatePipelineState&) = delete; + IntermediatePipelineState& operator=(const IntermediatePipelineState&) = delete; + + RoamingArray Run(int current_length, RoamingArray next_tokens, + RoamingArray next_indices) override; + + bool HasInput(std::string_view name) const; + + bool HasOutput(std::string_view name) const; + + bool SupportsPrimaryDevice() const; + + size_t id_; + + private: + const DecoderOnlyPipelineModel& model_; +}; + +struct DecoderOnlyPipelineState : State { + DecoderOnlyPipelineState(const DecoderOnlyPipelineModel& model, RoamingArray sequence_lengths, + const GeneratorParams& params); + + DecoderOnlyPipelineState(const DecoderOnlyPipelineState&) = delete; + DecoderOnlyPipelineState& operator=(const DecoderOnlyPipelineState&) = delete; + + RoamingArray Run(int current_length, RoamingArray next_tokens, + RoamingArray next_indices) override; + + OrtValue* GetOutput(const char* name) override; + + private: + void UpdateInputsOutputs(const RoamingArray& next_tokens, RoamingArray next_indices, + int current_length); + + const DecoderOnlyPipelineModel& model_; + std::vector> pipeline_states_; + + // Stores all the outputs from the previous pipeline state(s) + std::unordered_map> ortvalue_store_; + + InputIDs input_ids_{*this}; + Logits logits_{*this}; + std::unique_ptr kv_cache_; + PositionInputs position_inputs_; + ExtraInputs extra_inputs_{*this}; +}; + +} // namespace Generators diff --git a/src/models/embeddings.cpp b/src/models/embeddings.cpp index 10508b89f..b82f95d98 100644 --- a/src/models/embeddings.cpp +++ b/src/models/embeddings.cpp @@ -7,11 +7,10 @@ namespace Generators { -Embeddings::Embeddings(const Model& model, State& state, Embeddings::Mode mode, const std::string& name) - : model_{model}, - state_{state}, +Embeddings::Embeddings(State& state, Embeddings::Mode mode, const std::string& name) + : state_{state}, shape_{static_cast(state_.params_->batch_size) * state_.params_->search.num_beams, - state_.params_->sequence_length, state_.params_->hidden_size}, + state_.params_->sequence_length, model_.config_->model.decoder.hidden_size}, type_{mode == Embeddings::Mode::Input ? model_.session_info_->GetInputDataType(name) : model_.session_info_->GetOutputDataType(name)}, @@ -19,9 +18,9 @@ Embeddings::Embeddings(const Model& model, State& state, Embeddings::Mode mode, name_{name} { // Embeddings are only transient inputs and outputs. // They are never the user provided/requested model inputs/outputs - // So only create the transient output and reuse that ortvalue for subsequent + // So only create the transient input and reuse that ortvalue for previous // steps in the pipeline. - if (mode == Embeddings::Mode::Output) { + if (mode == Embeddings::Mode::Input) { if (state_.GetCapturedGraphInfo()) { sb_embeddings_ = state_.GetCapturedGraphInfo()->sb_embeddings_.get(); } @@ -31,17 +30,21 @@ Embeddings::Embeddings(const Model& model, State& state, Embeddings::Mode mode, } void Embeddings::Add() { - if (mode_ == Embeddings::Mode::Input) { - // In case the embeddings are input to a model, they are added - // as a nullptr to reserve a slot in the inputs. The embedding - // input will be overwritten when TransferState is invoked. - index_ = state_.inputs_.size(); - state_.inputs_.push_back(nullptr); - state_.input_names_.push_back(name_.c_str()); - } else { + if (mode_ == Embeddings::Mode::Output) { + // In case the embeddings are output of a model, they are added + // as a nullptr to reserve a slot in the outputs. The embedding + // output will be overwritten by the input of the following model + // when ReuseEmbeddingsBuffer is invoked. For example, if we have + // a pipeline that looks like EmbeddingModel -> TextModel, we + // create the embedding tensor in the TextModel as an input and + // simply reuse it in the EmbeddingModel as an output. index_ = state_.outputs_.size(); - state_.outputs_.push_back(embeddings_.get()); + state_.outputs_.push_back(nullptr); state_.output_names_.push_back(name_.c_str()); + } else { + index_ = state_.inputs_.size(); + state_.inputs_.push_back(embeddings_.get()); + state_.input_names_.push_back(name_.c_str()); } } @@ -49,26 +52,26 @@ void Embeddings::UpdateSequenceLength() { if (shape_[1] != 1) { shape_[1] = 1; - if (mode_ == Embeddings::Mode::Output) { + if (mode_ == Embeddings::Mode::Input) { if (!sb_embeddings_) { embeddings_ = OrtValue::CreateTensor(*model_.allocator_device_, shape_, type_); } else { embeddings_ = sb_embeddings_->CreateTensorOnStaticBuffer(shape_, type_); } - state_.outputs_[index_] = embeddings_.get(); + state_.inputs_[index_] = embeddings_.get(); } } } void Embeddings::ReuseEmbeddingsBuffer(const Embeddings& other) { - if (mode_ == Embeddings::Mode::Output || - other.mode_ == Embeddings::Mode::Input) { + if (mode_ == Embeddings::Mode::Input || + other.mode_ == Embeddings::Mode::Output) { throw std::runtime_error("Incorrect usage of the embeddings inputs and outputs."); } - // Share the output embeddings OrtValue* from other with the input embedding for this. - state_.inputs_[index_] = other.state_.outputs_[other.index_]; + // Share the input embeddings OrtValue* from other with the output embedding for this. + state_.outputs_[index_] = other.state_.inputs_[other.index_]; } } // namespace Generators diff --git a/src/models/embeddings.h b/src/models/embeddings.h index e3ae5032e..2e3c05c9a 100644 --- a/src/models/embeddings.h +++ b/src/models/embeddings.h @@ -11,7 +11,7 @@ struct Embeddings { Output }; - Embeddings(const Model& model, State& state, Embeddings::Mode mode, const std::string& name); + Embeddings(State& state, Embeddings::Mode mode, const std::string& name); Embeddings(const Embeddings&) = delete; Embeddings& operator=(const Embeddings&) = delete; @@ -26,8 +26,8 @@ struct Embeddings { auto& GetShape() const { return shape_; } private: - const Model& model_; State& state_; + const Model& model_{state_.model_}; std::array shape_{}; // [batch_size, sequence_length, hidden_size] ONNXTensorElementDataType type_; const Mode mode_{}; diff --git a/src/models/extra_inputs.cpp b/src/models/extra_inputs.cpp index 49747c7de..6827042d3 100644 --- a/src/models/extra_inputs.cpp +++ b/src/models/extra_inputs.cpp @@ -5,9 +5,8 @@ namespace Generators { -ExtraInputs::ExtraInputs(const Model& model, State& state) - : model_{model}, - state_{state} { +ExtraInputs::ExtraInputs(State& state) + : state_{state} { extra_inputs_.reserve(state_.params_->extra_inputs.size()); if (state_.GetCapturedGraphInfo()) { diff --git a/src/models/extra_inputs.h b/src/models/extra_inputs.h index b7b8ab91a..b15562c7e 100644 --- a/src/models/extra_inputs.h +++ b/src/models/extra_inputs.h @@ -5,12 +5,12 @@ namespace Generators { struct ExtraInputs { - ExtraInputs(const Model& model, State& state); + ExtraInputs(State& state); void Add(); private: - const Model& model_; State& state_; + const Model& model_{state_.model_}; std::vector extra_inputs_; std::vector> owned_extra_inputs_; std::unordered_map sb_extra_inputs_; diff --git a/src/models/gpt.cpp b/src/models/gpt.cpp index 275708038..03f534fa9 100644 --- a/src/models/gpt.cpp +++ b/src/models/gpt.cpp @@ -31,7 +31,7 @@ RoamingArray Gpt_State::Run(int current_length, RoamingArray nex UpdateInputsOutputs(next_tokens, next_indices, current_length); } - State::Run(*model_.session_decoder_, *model_.run_options_, batch_size); + State::Run(*model_.session_decoder_, batch_size); return logits_.Get(); } diff --git a/src/models/gpt.h b/src/models/gpt.h index 1363e952f..d58351687 100644 --- a/src/models/gpt.h +++ b/src/models/gpt.h @@ -25,10 +25,10 @@ struct Gpt_State : State { const Gpt_Model& model_; - InputIDs input_ids_{model_, *this}; - Logits logits_{model_, *this}; - KV_Cache_Combined kv_cache_{model_, *this}; + InputIDs input_ids_{*this}; + Logits logits_{*this}; + KV_Cache_Combined kv_cache_{*this}; PositionInputs position_inputs_; - ExtraInputs extra_inputs_{model_, *this}; + ExtraInputs extra_inputs_{*this}; }; } // namespace Generators diff --git a/src/models/image_features.cpp b/src/models/image_features.cpp new file mode 100644 index 000000000..f27aaa7c7 --- /dev/null +++ b/src/models/image_features.cpp @@ -0,0 +1,68 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. +#include "../generators.h" +#include "model.h" +#include "image_features.h" + +namespace Generators { + +ImageFeatures::ImageFeatures(State& state, ImageFeatures::Mode mode, const std::string& name, int64_t num_image_tokens) + : state_{state}, + shape_{num_image_tokens, model_.config_->model.decoder.hidden_size}, + type_{mode == ImageFeatures::Mode::Input + ? model_.session_info_->GetInputDataType(name) + : model_.session_info_->GetOutputDataType(name)}, + mode_{mode}, + name_{name} { + // There are four cases for ImageFeatures: + // 1) Created as an output for vision model (num_image_tokens > 0) + // The tensor needs to be pre-allocated to store the output. + // It will be transferred to an input for the embedding model. + // 2) Created as an output for vision model (num_image_tokens = 0) + // The tensor will be pre-allocated to store the empty output. + // It will be transferred to an input for the embedding model. + // 3) Created as an input for embedding model (num_image_tokens > 0) + // The tensor does not need to be pre-allocated because it will be created during (1). + // 4) Created as an input for embedding model (num_image_tokens = 0) + // The tensor does not need to be pre-allocated because it will be created during (2). + if (mode == ImageFeatures::Mode::Output) { + image_features_ = OrtValue::CreateTensor(*model_.allocator_device_, shape_, type_); + } +} + +void ImageFeatures::Add() { + if (mode_ == ImageFeatures::Mode::Input) { + // In case the image_features are an input to a model, they are added + // as a nullptr to reserve a slot in the inputs. The image_features + // input will be overwritten when ReuseImageFeaturesBuffer is invoked. + index_ = state_.inputs_.size(); + state_.inputs_.push_back(nullptr); + state_.input_names_.push_back(name_.c_str()); + } else { + index_ = state_.outputs_.size(); + state_.outputs_.push_back(image_features_.get()); + state_.output_names_.push_back(name_.c_str()); + } +} + +void ImageFeatures::Update() { + // Initialize empty image_features tensor for after-prompt input scenarios + // num_image_tokens will be 0 when no image is provided + if (shape_[0] > 0) { // if num_image_tokens > 0 + shape_[0] = 0; + image_features_ = OrtValue::CreateTensor(*model_.allocator_device_, shape_, type_); + state_.inputs_[index_] = image_features_.get(); + } +} + +void ImageFeatures::ReuseImageFeaturesBuffer(ImageFeatures& other) { + if (mode_ == ImageFeatures::Mode::Output || other.mode_ == ImageFeatures::Mode::Input) { + throw std::runtime_error("Incorrect usage of the ImageFeatures inputs and outputs."); + } + + // Share the output ImageFeatures OrtValue* from other with the input ImageFeatures for this. + image_features_ = std::move(other.image_features_); + state_.inputs_[index_] = other.state_.outputs_[other.index_]; +} + +} // namespace Generators diff --git a/src/models/image_features.h b/src/models/image_features.h new file mode 100644 index 000000000..3d79685a4 --- /dev/null +++ b/src/models/image_features.h @@ -0,0 +1,39 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +#pragma once + +namespace Generators { + +struct ImageFeatures { + enum struct Mode { + Input = 0, + Output + }; + + ImageFeatures(State& state, ImageFeatures::Mode mode, const std::string& name, int64_t num_image_tokens); + ImageFeatures(const ImageFeatures&) = delete; + ImageFeatures& operator=(const ImageFeatures&) = delete; + + void Add(); + void Update(); + void ReuseImageFeaturesBuffer(ImageFeatures& other); + + auto& GetShape() const { return shape_; } + OrtValue* Get() { return image_features_.get(); } + + private: + State& state_; + const Model& model_{state_.model_}; + + std::array shape_{}; // [num_image_tokens, hidden_size] + ONNXTensorElementDataType type_; + + const Mode mode_{}; + const std::string name_; + + std::unique_ptr image_features_; + size_t index_{~0U}; +}; + +} // namespace Generators diff --git a/src/models/input_ids.cpp b/src/models/input_ids.cpp index 859c86553..acf4bd5fe 100644 --- a/src/models/input_ids.cpp +++ b/src/models/input_ids.cpp @@ -5,16 +5,15 @@ namespace Generators { -InputIDs::InputIDs(const Model& model, State& state) - : model_{model}, - state_{state} { +InputIDs::InputIDs(State& state) + : state_{state} { name_ = model_.config_->model.decoder.inputs.input_ids.c_str(); shape_ = {state_.params_->batch_size, state_.params_->sequence_length}; type_ = model_.session_info_->GetInputDataType(name_); // If 64-bit, convert from 32-bit to 64-bit if (type_ == Ort::TypeToTensorType) { - value_ = OrtValue::CreateTensor(model.allocator_cpu_, shape_, type_); + value_ = OrtValue::CreateTensor(model_.allocator_cpu_, shape_, type_); auto* p_data = value_->GetTensorMutableData(); for (auto v : state_.params_->input_ids) { *p_data++ = v; @@ -22,7 +21,7 @@ InputIDs::InputIDs(const Model& model, State& state) } else { if (type_ != Ort::TypeToTensorType) throw std::runtime_error("InputIDs must be int64 or int32"); - value_ = OrtValue::CreateTensor(model.allocator_cpu_.GetInfo(), std::span(const_cast(state_.params_->input_ids.data()), shape_[0] * shape_[1]), shape_); + value_ = OrtValue::CreateTensor(model_.allocator_cpu_.GetInfo(), std::span(const_cast(state_.params_->input_ids.data()), shape_[0] * shape_[1]), shape_); } value_ = model_.ExpandInputs(value_, state_.params_->search.num_beams); @@ -37,6 +36,38 @@ InputIDs::InputIDs(const Model& model, State& state) } #endif } + + const auto get_unpadded_sequence_length = [](std::span input_ids, + int32_t pad_token_id) { + int32_t seq_length = 0; + for (int32_t i = 0; i < input_ids.size(); i++) { + if (input_ids[i] == pad_token_id) { + break; + } + seq_length++; + } + return seq_length; + }; + + if (model_.session_info_->HasInput(model_.config_->model.decoder.inputs.current_sequence_length) && + model_.session_info_->HasInput(model_.config_->model.decoder.inputs.past_sequence_length)) { + if (state_.params_->BatchBeamSize() != 1) { + throw std::runtime_error("Batch size must be 1 for current_sequence_length and past_sequence_length inputs"); + } + const int32_t current_sequence_length = get_unpadded_sequence_length(state_.params_->input_ids, model_.config_->model.pad_token_id); + const std::array current_sequence_length_shape{1}; + const std::array past_sequence_length_shape{1, 1}; + + if (model_.session_info_->GetInputDataType(model_.config_->model.decoder.inputs.current_sequence_length) != Ort::TypeToTensorType || + model_.session_info_->GetInputDataType(model_.config_->model.decoder.inputs.past_sequence_length) != Ort::TypeToTensorType) + throw std::runtime_error("current_sequence_length and past_sequence_length must be int32"); + + current_sequence_length_ = OrtValue::CreateTensor(model_.allocator_cpu_, current_sequence_length_shape, model_.session_info_->GetInputDataType(model_.config_->model.decoder.inputs.current_sequence_length)); + *current_sequence_length_->GetTensorMutableData() = current_sequence_length; + + past_sequence_length_ = OrtValue::CreateTensor(*model_.allocator_device_, past_sequence_length_shape, model_.session_info_->GetInputDataType(model_.config_->model.decoder.inputs.past_sequence_length)); + *past_sequence_length_->GetTensorMutableData() = current_sequence_length - 1; + } } void InputIDs::Add() { @@ -44,6 +75,13 @@ void InputIDs::Add() { state_.inputs_.push_back(value_.get()); state_.input_names_.push_back(name_); + + if (current_sequence_length_ && past_sequence_length_) { + state_.input_names_.push_back(model_.config_->model.decoder.inputs.current_sequence_length.c_str()); + state_.inputs_.push_back(current_sequence_length_.get()); + state_.input_names_.push_back(model_.config_->model.decoder.inputs.past_sequence_length.c_str()); + state_.inputs_.push_back(past_sequence_length_.get()); + } } void InputIDs::Update(RoamingArray next_tokens_unk) { @@ -74,16 +112,16 @@ void InputIDs::Update(RoamingArray next_tokens_unk) { // Update input_ids with next tokens, converting from 32-bit to 64-bit if (type_ == Ort::TypeToTensorType) { switch (model_.device_type_) { -#if USE_CUDA case DeviceType::CUDA: { +#if USE_CUDA auto* data = value_->GetTensorMutableData(); auto next_tokens = next_tokens_unk.GetGPU(); cuda::LaunchInt32ToInt64(next_tokens.data(), data, static_cast(next_tokens.size()), model_.cuda_stream_); - } break; #endif + } break; -#if USE_DML case DeviceType::DML: { +#if USE_DML ComPtr source_resource; Ort::ThrowOnError(model_.GetOrtDmlApi()->GetD3D12ResourceFromAllocation(model_.allocator_device_, value_int32_->GetTensorMutableRawData(), &source_resource)); @@ -105,9 +143,10 @@ void InputIDs::Update(RoamingArray next_tokens_unk) { model_.GetDmlDevice(), model_.GetOrtDmlApi(), input_ids_cast_command_list_state_); - } break; #endif - case DeviceType::CPU: { + } break; + default: { + // CPU, WEBGPU auto* data = value_->GetTensorMutableData(); auto next_tokens = next_tokens_unk.GetCPU(); for (int i = 0; i < shape_[0]; i++) { @@ -124,6 +163,11 @@ void InputIDs::Update(RoamingArray next_tokens_unk) { #endif memcpy(data, next_tokens_unk.GetCPU().data(), shape_[0] * sizeof(int32_t)); } + + if (current_sequence_length_ && past_sequence_length_) { + *current_sequence_length_->GetTensorMutableData() += 1; + *past_sequence_length_->GetTensorMutableData() += 1; + } } } // namespace Generators diff --git a/src/models/input_ids.h b/src/models/input_ids.h index 93874821a..5d61fb7bd 100644 --- a/src/models/input_ids.h +++ b/src/models/input_ids.h @@ -5,7 +5,7 @@ namespace Generators { struct InputIDs { - InputIDs(const Model& model, State& state); + InputIDs(State& state); InputIDs(const InputIDs&) = delete; InputIDs& operator=(const InputIDs&) = delete; @@ -18,8 +18,8 @@ struct InputIDs { OrtValue* Get() { return value_.get(); } private: - const Model& model_; State& state_; + const Model& model_{state_.model_}; size_t input_index_{~0U}; std::array shape_{}; @@ -34,6 +34,9 @@ struct InputIDs { StaticBuffer* sb_input_ids_int32_{}; DmlReusedCommandListState input_ids_cast_command_list_state_{}; #endif + + std::unique_ptr current_sequence_length_; + std::unique_ptr past_sequence_length_; }; } // namespace Generators diff --git a/src/models/kernels.cu b/src/models/kernels.cu deleted file mode 100644 index f90be8347..000000000 --- a/src/models/kernels.cu +++ /dev/null @@ -1,111 +0,0 @@ -// Copyright (c) Microsoft Corporation. All rights reserved. -// Licensed under the MIT License. -#include -#include -#include -#include - -namespace Generators { -namespace cuda { - -template -__global__ void UpdatePositionIds(T* positions, int batch_beam_size) { - int i = blockIdx.x * blockDim.x + threadIdx.x; - if (i < batch_beam_size) - positions[i]++; -} - -template -void Launch_UpdatePositionIds(T* positions, int batch_beam_size, cudaStream_t stream) { - UpdatePositionIds<<<(batch_beam_size + 255) / 256, 256, 0, stream>>>(positions, batch_beam_size); -} - -template void Launch_UpdatePositionIds(int32_t* positions, int batch_beam_size, cudaStream_t stream); -template void Launch_UpdatePositionIds(int64_t* positions, int batch_beam_size, cudaStream_t stream); - -template -__global__ void CopyAndUpdateAttentionMask(T* mask_data, const T* old_mask_data, int batch_beam_size, - int current_length, int max_length) { - int global_index = blockIdx.x * blockDim.x + threadIdx.x; - int i = global_index / current_length; - int j = global_index % current_length; - if (i < batch_beam_size) { - if (j < current_length - 1) { - mask_data[i * max_length + j] = old_mask_data[i * (current_length - 1) + j]; - } else { - mask_data[i * max_length + j] = 1; - } - } -} - -template -__global__ void UpdateAttentionMask(T* mask_data, int batch_beam_size, int current_length, int max_length) { - int i = blockIdx.x; - if (i < batch_beam_size) { - mask_data[i * max_length + current_length] = 1; - } -} - -template -void Launch_UpdateAttentionMask(T* mask_data, const T* old_mask_data, int batch_beam_size, int current_length, - int max_length, bool update_only, cudaStream_t stream) { - if (update_only) { - UpdateAttentionMask - <<>>(mask_data, batch_beam_size, current_length, max_length); - } else { - CopyAndUpdateAttentionMask<<<(batch_beam_size * max_length + 255) / 256, 256, 0, stream>>>( - mask_data, old_mask_data, batch_beam_size, current_length, max_length); - } -} - -template void Launch_UpdateAttentionMask(int32_t* mask_data, const int32_t* old_mask_data, int batch_beam_size, - int current_length, int max_length, bool update_only, cudaStream_t stream); -template void Launch_UpdateAttentionMask(int64_t* mask_data, const int64_t* old_mask_data, int batch_beam_size, - int current_length, int max_length, bool update_only, cudaStream_t stream); - -__global__ void HandleEOSArray(float* batch_logits, int batch_beam_size, int vocab_size, const int32_t* eos_token_ids, int eos_token_ids_count) { - int index = blockIdx.x * blockDim.x + threadIdx.x; - if (index >= batch_beam_size) - return; - - float* logits = batch_logits + index * vocab_size; - float max = std::numeric_limits::lowest(); - for (int i = 0; i < eos_token_ids_count; i++) { - max = std::max(max, logits[eos_token_ids[i]]); - logits[eos_token_ids[i]] = std::numeric_limits::lowest(); // Set all EOS token options to never happen (the first will get the max of all) - } - - logits[eos_token_ids[0]] = max; // Set the score of the primary EOS token to the highest of any of the EOS tokens -} - -void LaunchHandleEOSArray(float* batch_logits, int batch_beam_size, int vocab_size, const int32_t* eos_token_ids, int eos_token_ids_count, cudaStream_t stream) { - HandleEOSArray<<<(batch_beam_size + 255) / 256, 256, 0, stream>>>(batch_logits, batch_beam_size, vocab_size, eos_token_ids, eos_token_ids_count); -} - -__global__ void ConvertFp16ToFp32(const half* src, float* dst, int count) { - int idx = threadIdx.x + blockIdx.x * blockDim.x; - if (idx < count) - dst[idx] = __half2float(src[idx]); -} - -void LaunchFp16ToFp32(const uint16_t* fp16, float* fp32, int count, cudaStream_t stream) { - int block_size = 256; - int num_blocks = (count + block_size - 1) / block_size; - ConvertFp16ToFp32<<>>(reinterpret_cast(fp16), fp32, count); -} - -__global__ void ConvertInt32ToInt64(const int32_t* src, int64_t* dst, int count) { - int idx = threadIdx.x + blockIdx.x * blockDim.x; - if (idx < count) { - dst[idx] = src[idx]; - } -} - -void LaunchInt32ToInt64(const int32_t* src, int64_t* dst, int count, cudaStream_t stream) { - int block_size = 256; - int num_blocks = (count + block_size - 1) / block_size; - ConvertInt32ToInt64<<>>(src, dst, count); -} - -} // namespace cuda -} // namespace Generators diff --git a/src/models/kernels.h b/src/models/kernels.h index b778d95a8..442172696 100644 --- a/src/models/kernels.h +++ b/src/models/kernels.h @@ -14,7 +14,51 @@ void Launch_UpdateAttentionMask(T* mask_data, const T* old_mask_data, int batch_ void LaunchHandleEOSArray(float* batch_logits, int batch_beam_size, int vocab_size, const int32_t* eos_token_ids, int eos_token_ids_count, cudaStream_t stream); void LaunchFp16ToFp32(const uint16_t* fp16, float* fp32, int count, cudaStream_t stream); +void LaunchFp32ToFp16(const float* fp32, uint16_t* fp16, int count, cudaStream_t stream); void LaunchInt32ToInt64(const int32_t* src, int64_t* dst, int count, cudaStream_t stream); -} // namespace cuda +template +void BufferExpansionKernelLauncher(const T* input, T* output, int batch_size, int beam_width, int chunk_size, cudaStream_t stream); + +void ReorderPastStatesKernelLauncher(void* out_buffer, const void* in_buffer, int batch_size, int num_heads, + int max_length, int head_size, int chunk_size, cudaStream_t stream); + +void UpdateCacheIndirectionKernelLauncher(int32_t* tgt_indir_cache, + const int32_t* src_indir_cache, + const int32_t* beam_ids, + int batch_size, + int beam_width, + int input_seq_length, + int max_seq_length, + int current_length, + cudaStream_t stream); + +template +void LaunchCopyCrossQKSingleDecodeStep(cudaStream_t stream, + T* cross_qk_buffer_data, + T** qk_layer_pointers, + int token_index, + int batch_beam_size, + int num_layers, + int num_heads, + int num_alignment_heads, + const int* alignment_heads, + int frames, + int max_length); + +template +void LaunchFinalizeCrossQK(cudaStream_t stream, + int iteration_number, + int context_decoding_len, + int batch_size, + int num_beams, + int max_length, + int num_alignment_heads, + int frames_of_k, + const T* cross_qk_buffer_data, + T* cross_qk_output, + int num_return_sequences, + const int* cache_indir_data); + +} // namespace cuda } // namespace Generators diff --git a/src/models/kv_cache.cpp b/src/models/kv_cache.cpp index be5231b36..381b2eda7 100644 --- a/src/models/kv_cache.cpp +++ b/src/models/kv_cache.cpp @@ -4,31 +4,41 @@ namespace Generators { -KV_Cache_Combined::KV_Cache_Combined(const Model& model, State& state) - : model_{model}, - state_{state}, - layer_count_{model.config_->model.decoder.num_hidden_layers}, - shape_{2, state_.params_->BatchBeamSize(), model.config_->model.decoder.num_key_value_heads, 0, model.config_->model.decoder.head_size} { +namespace { + +std::string ComposeKeyValueName(const std::string& template_string, int index) { + constexpr int32_t KeyValueNameLength = 64; + char key_value_name[KeyValueNameLength]; + if (auto length = snprintf(key_value_name, std::size(key_value_name), template_string.c_str(), index); + length < 0 || length >= KeyValueNameLength) { + throw std::runtime_error("Unable to compose key value name from the provided template " + template_string + + ". This could be either due to an encoding error or the name being too long."); + } + return std::string(key_value_name); +} + +} // namespace + +KV_Cache_Combined::KV_Cache_Combined(State& state) + : state_{state}, + layer_count_{model_.config_->model.decoder.num_hidden_layers}, + shape_{2, state_.params_->BatchBeamSize(), model_.config_->model.decoder.num_key_value_heads, 0, model_.config_->model.decoder.head_size} { pasts_.resize(layer_count_); presents_.reserve(layer_count_); for (int i = 0; i < layer_count_; ++i) { - char string[64]; - snprintf(string, std::size(string), model.config_->model.decoder.inputs.past_names.c_str(), i); - input_name_strings_.emplace_back(string); - - snprintf(string, std::size(string), model.config_->model.decoder.outputs.present_names.c_str(), i); - output_name_strings_.emplace_back(string); + input_name_strings_.emplace_back(ComposeKeyValueName(model_.config_->model.decoder.inputs.past_names, i)); + output_name_strings_.emplace_back(ComposeKeyValueName(model_.config_->model.decoder.outputs.present_names, i)); } // Derive the KV data type from the KV input 0 type_ = model_.session_info_->GetInputDataType(input_name_strings_[0]); - empty_past_ = OrtValue::CreateTensor(*model_.allocator_device_, shape_, type_); + empty_past_ = OrtValue::CreateTensor(*model_.allocator_kvcache_, shape_, type_); shape_[3] = state_.params_->sequence_length; for (int i = 0; i < layer_count_; ++i) { - presents_.push_back(OrtValue::CreateTensor(*model.allocator_device_, shape_, type_)); + presents_.push_back(OrtValue::CreateTensor(*model_.allocator_kvcache_, shape_, type_)); } } @@ -57,7 +67,7 @@ void KV_Cache_Combined::Update(std::span beam_indices, int curren shape_[3] = current_length; for (int i = 0; i < layer_count_; i++) { - presents_[i] = OrtValue::CreateTensor(*model_.allocator_device_, shape_, type_); + presents_[i] = OrtValue::CreateTensor(*model_.allocator_kvcache_, shape_, type_); state_.inputs_[input_index_ + i] = pasts_[i].get(); state_.outputs_[output_index_ + i] = presents_[i].get(); } @@ -71,7 +81,7 @@ void KV_Cache_Combined::PickPastState(std::span beam_indices, int auto element_count = shape_[0] * past_key_size; const OrtValue& present = *presents_[index]; - std::unique_ptr past = OrtValue::CreateTensor(*model_.allocator_device_, shape_); + std::unique_ptr past = OrtValue::CreateTensor(*model_.allocator_kvcache_, shape_); auto past_span = std::span(past->GetTensorMutableData(), element_count); auto present_span = std::span(present.GetTensorData(), element_count); @@ -113,12 +123,15 @@ void KV_Cache_Combined::PickPastState(std::span beam_indices, int } } -KV_Cache::KV_Cache(const Model& model, State& state) - : model_{model}, - state_{state}, +bool KV_Cache::IsCacheNeeded(const Model& model) { + return model.session_info_->HasInput(ComposeKeyValueName(model.config_->model.decoder.inputs.past_key_names, 0)); +} + +KV_Cache::KV_Cache(State& state) + : state_{state}, layer_count_{model_.config_->model.decoder.num_hidden_layers}, - past_present_share_buffer_{state_.params_->search.past_present_share_buffer && state_.params_->search.num_beams == 1}, - shape_{state_.params_->BatchBeamSize(), model.config_->model.decoder.num_key_value_heads, 0, model.config_->model.decoder.head_size} { + past_present_share_buffer_{state_.params_->search.past_present_share_buffer && (state_.params_->search.num_beams == 1 || model_.config_->model.type == "whisper")}, + shape_{state_.params_->BatchBeamSize(), model_.config_->model.decoder.num_key_value_heads, 0, model_.config_->model.decoder.head_size} { if (g_log.enabled && g_log.warning && past_present_share_buffer_ != state_.params_->search.past_present_share_buffer) Log("warning", "past_present_share_buffer search option set to true, but has been disabled due to the current configuration. See https://aka.ms/generate_config for details"); @@ -126,22 +139,17 @@ KV_Cache::KV_Cache(const Model& model, State& state) presents_.reserve(layer_count_ * 2); for (int i = 0; i < layer_count_; ++i) { - char string[64]; - snprintf(string, std::size(string), model.config_->model.decoder.inputs.past_key_names.c_str(), i); - input_name_strings_.emplace_back(string); - snprintf(string, std::size(string), model.config_->model.decoder.inputs.past_value_names.c_str(), i); - input_name_strings_.emplace_back(string); - - snprintf(string, std::size(string), model.config_->model.decoder.outputs.present_key_names.c_str(), i); - output_name_strings_.emplace_back(string); - snprintf(string, std::size(string), model.config_->model.decoder.outputs.present_value_names.c_str(), i); - output_name_strings_.emplace_back(string); + input_name_strings_.emplace_back(ComposeKeyValueName(model_.config_->model.decoder.inputs.past_key_names, i)); + input_name_strings_.emplace_back(ComposeKeyValueName(model_.config_->model.decoder.inputs.past_value_names, i)); + + output_name_strings_.emplace_back(ComposeKeyValueName(model_.config_->model.decoder.outputs.present_key_names, i)); + output_name_strings_.emplace_back(ComposeKeyValueName(model_.config_->model.decoder.outputs.present_value_names, i)); } // Derive the KV data type from the KV input 0 type_ = model_.session_info_->GetInputDataType(input_name_strings_[0]); - empty_past_ = OrtValue::CreateTensor(*model_.allocator_device_, shape_, type_); + empty_past_ = OrtValue::CreateTensor(*model_.allocator_kvcache_, shape_, type_); // Set the size after empty_past_ has been created with 0 for this field if (past_present_share_buffer_) @@ -159,7 +167,7 @@ KV_Cache::KV_Cache(const Model& model, State& state) for (int i = 0; i < layer_count_ * 2; ++i) { presents_.push_back( - sb_kv_caches_.empty() ? OrtValue::CreateTensor(*model_.allocator_device_, shape_, type_) + sb_kv_caches_.empty() ? OrtValue::CreateTensor(*model_.allocator_kvcache_, shape_, type_) : sb_kv_caches_[i]->CreateTensorOnStaticBuffer(shape_, type_)); } } @@ -208,7 +216,7 @@ void KV_Cache::Update(std::span beam_indices, int current_length) shape_[2] = current_length; for (int i = 0; i < layer_count_ * 2; i++) { - presents_[i] = OrtValue::CreateTensor(*model_.allocator_device_, shape_, type_); + presents_[i] = OrtValue::CreateTensor(*model_.allocator_kvcache_, shape_, type_); state_.outputs_[output_index_ + i] = presents_[i].get(); } } @@ -220,7 +228,7 @@ void KV_Cache::PickPastState(std::span beam_indices, int index) { auto element_count = shape_[0] * block_size_per_beam; const OrtValue& present_value = *presents_[index]; - std::unique_ptr past_value = OrtValue::CreateTensor(*model_.allocator_device_, shape_); + std::unique_ptr past_value = OrtValue::CreateTensor(*model_.allocator_kvcache_, shape_); auto past_span = std::span(past_value->GetTensorMutableData(), element_count); auto present_span = std::span(present_value.GetTensorData(), element_count); @@ -254,32 +262,26 @@ void KV_Cache::PickPastState(std::span beam_indices, int index) { } } -Cross_Cache::Cross_Cache(const Model& model, State& state) - : model_{model}, - state_{state}, +Cross_Cache::Cross_Cache(State& state) + : state_{state}, layer_count_{model_.config_->model.decoder.num_hidden_layers}, - shape_{state_.params_->BatchBeamSize(), model.config_->model.decoder.num_key_value_heads, 1500, model.config_->model.decoder.head_size} { + shape_{state_.params_->BatchBeamSize(), model_.config_->model.decoder.num_key_value_heads, 1500, model_.config_->model.decoder.head_size} { values_.reserve(layer_count_ * 2); for (int i = 0; i < layer_count_; ++i) { - char string[64]; - snprintf(string, std::size(string), model.config_->model.decoder.inputs.cross_past_key_names.c_str(), i); - input_name_strings_.emplace_back(string); - snprintf(string, std::size(string), model.config_->model.decoder.inputs.cross_past_value_names.c_str(), i); - input_name_strings_.emplace_back(string); - - snprintf(string, std::size(string), model.config_->model.decoder.outputs.cross_present_key_names.c_str(), i); - output_name_strings_.emplace_back(string); - snprintf(string, std::size(string), model.config_->model.decoder.outputs.cross_present_value_names.c_str(), i); - output_name_strings_.emplace_back(string); + input_name_strings_.emplace_back(ComposeKeyValueName(model_.config_->model.decoder.inputs.cross_past_key_names, i)); + input_name_strings_.emplace_back(ComposeKeyValueName(model_.config_->model.decoder.inputs.cross_past_value_names, i)); + + output_name_strings_.emplace_back(ComposeKeyValueName(model_.config_->model.decoder.outputs.cross_present_key_names, i)); + output_name_strings_.emplace_back(ComposeKeyValueName(model_.config_->model.decoder.outputs.cross_present_value_names, i)); } // Derive the KV data type from the KV input 0 type_ = model_.session_info_->GetInputDataType(input_name_strings_[0]); for (int i = 0; i < layer_count_; ++i) { - values_.push_back(OrtValue::CreateTensor(*model_.allocator_device_, shape_, type_)); - values_.push_back(OrtValue::CreateTensor(*model_.allocator_device_, shape_, type_)); + values_.push_back(OrtValue::CreateTensor(*model_.allocator_kvcache_, shape_, type_)); + values_.push_back(OrtValue::CreateTensor(*model_.allocator_kvcache_, shape_, type_)); } } diff --git a/src/models/kv_cache.h b/src/models/kv_cache.h index bfefba973..7ffe104d4 100644 --- a/src/models/kv_cache.h +++ b/src/models/kv_cache.h @@ -5,7 +5,7 @@ namespace Generators { struct KV_Cache_Combined { - KV_Cache_Combined(const Model& model, State& state); + KV_Cache_Combined(State& state); void Add(); // Add to state inputs/outputs void Update(std::span beam_indices, int current_length); @@ -15,8 +15,8 @@ struct KV_Cache_Combined { void PickPastState(std::span beam_indices, int index); private: - const Model& model_; State& state_; + const Model& model_{state_.model_}; int layer_count_; size_t input_index_{~0U}, output_index_{~0U}; @@ -29,7 +29,9 @@ struct KV_Cache_Combined { }; struct KV_Cache { - KV_Cache(const Model& model, State& state); + KV_Cache(State& state); + + static bool IsCacheNeeded(const Model& model); void AddEncoder(); // If model has an initial encoder step, this is used void Add(); @@ -39,8 +41,8 @@ struct KV_Cache { void PickPastState(std::span beam_indices, int index); private: - const Model& model_; State& state_; + const Model& model_{state_.model_}; int layer_count_; size_t input_index_{~0U}, output_index_{~0U}; bool past_present_share_buffer_; // True if model.decoder.past_present_share_buffer is set to true, and we're using cuda, and not beam search @@ -56,14 +58,14 @@ struct KV_Cache { // Very similar to the KV_Cache, but is only created once at the encoder step, then used without modification for every decoder step struct Cross_Cache { - Cross_Cache(const Model& model, State& state); + Cross_Cache(State& state); void AddOutputs(); void AddInputs(); private: - const Model& model_; State& state_; + const Model& model_{state_.model_}; int layer_count_; std::array shape_; diff --git a/src/models/logits.cpp b/src/models/logits.cpp index 5d371a74c..b7800c89e 100644 --- a/src/models/logits.cpp +++ b/src/models/logits.cpp @@ -9,10 +9,9 @@ namespace Generators { -Logits::Logits(const Model& model, State& state) - : model_{model}, - state_{state}, - shape_{static_cast(state_.params_->batch_size) * state_.params_->search.num_beams, state_.params_->sequence_length, state_.params_->vocab_size}, +Logits::Logits(State& state) + : state_{state}, + shape_{static_cast(state_.params_->batch_size) * state_.params_->search.num_beams, state_.params_->sequence_length, model_.config_->model.vocab_size}, type_{model_.session_info_->GetOutputDataType(model_.config_->model.decoder.outputs.logits)} { output_raw_ = OrtValue::CreateTensor(*model_.allocator_device_, shape_, type_); @@ -70,14 +69,14 @@ RoamingArray Logits::Get() { // Find the first non pad token from the end size_t token_index = seq_length; while (token_index-- > 0) { - if (input_ids[token_index] != state_.params_->pad_token_id) + if (input_ids[token_index] != model_.config_->model.pad_token_id) break; } for (int beam_index = 0; beam_index < num_beams; beam_index++) { switch (model_.device_type_) { -#if USE_DML case DeviceType::DML: { +#if USE_DML ComPtr source_resource; Ort::ThrowOnError(model_.GetOrtDmlApi()->GetD3D12ResourceFromAllocation(model_.allocator_device_, output_raw_->GetTensorMutableRawData(), &source_resource)); @@ -96,11 +95,11 @@ RoamingArray Logits::Get() { source_offset, D3D12_RESOURCE_STATE_UNORDERED_ACCESS, size_in_bytes); - } break; #endif + } break; - case DeviceType::CPU: - case DeviceType::CUDA: { + default: { + // CPU, CUDA, WEBGPU auto logits_raw = std::span{output_raw_->GetTensorMutableData(), element_count * element_size}; auto logits_last_tokens = std::span{logits_of_last_token->GetTensorMutableData(), element_count_last_token * element_size}; auto target = logits_last_tokens.subspan(vocab_index * element_size, vocab_size * element_size); diff --git a/src/models/logits.h b/src/models/logits.h index b72a51886..49b3a827f 100644 --- a/src/models/logits.h +++ b/src/models/logits.h @@ -7,7 +7,7 @@ namespace Generators { struct Logits { - Logits(const Model& model, State& state); + Logits(State& state); void Add(); RoamingArray Get(); @@ -17,8 +17,8 @@ struct Logits { private: void HandleEOSArray(cpu_span logits); - const Model& model_; State& state_; + const Model& model_{state_.model_}; size_t output_index_{~0U}; std::array shape_{}; diff --git a/src/models/model.cpp b/src/models/model.cpp index 3e17fd009..a5f549fb1 100644 --- a/src/models/model.cpp +++ b/src/models/model.cpp @@ -1,5 +1,7 @@ // Copyright (c) Microsoft Corporation. All rights reserved. // Licensed under the MIT License. +// +// Modifications Copyright(C) 2024 Advanced Micro Devices, Inc. All rights reserved #include #include @@ -11,69 +13,67 @@ #include "whisper.h" #include "kernels.h" #include "multi_modal_vision_model.h" +#include "decoder_only_pipeline.h" #if USE_DML #include #include "dml_provider_factory.h" #include "../dml/dml_helpers.h" -EXTERN_C IMAGE_DOS_HEADER __ImageBase; - -static std::string CurrentModulePath() { - char path[MAX_PATH]; - GetModuleFileNameA((HINSTANCE)&__ImageBase, path, _countof(path)); - - char absolute_path[MAX_PATH]; - char* name; - GetFullPathNameA(path, _countof(path), absolute_path, &name); - - auto idx = std::distance(absolute_path, name); - auto out_path = std::string(absolute_path); - out_path.resize(idx); - - return out_path; -} +std::string CurrentModulePath(); #endif namespace Generators { State::State(const GeneratorParams& params, const Model& model) - : params_{params.shared_from_this()}, - model_{model} {} + : model_{model}, + params_{params.shared_from_this()}, + run_options_{OrtRunOptions::Create()} {} + +void State::Run(OrtSession& session, int new_batch_size) { + auto captured_graph_info = GetCapturedGraphInfo(); -void State::Run(OrtSession& session, OrtRunOptions& run_options, int new_batch_size) { if (first_run_) { - if (params_->use_cuda_graph) { - model_.run_options_->AddConfigEntry("gpu_graph_id", "-1"); + if (captured_graph_info) { + run_options_->AddConfigEntry("gpu_graph_id", "-1"); } first_run_ = false; - } else if (params_->use_cuda_graph && new_batch_size != current_batch_size_) { - assert(GetCapturedGraphInfo() != nullptr); + } else if (captured_graph_info && new_batch_size != current_batch_size_) { current_batch_size_ = new_batch_size; - auto annotation_id = std::to_string(GetCapturedGraphInfo()->GenerateUniqueAnnotationID(new_batch_size)); - model_.run_options_->AddConfigEntry("gpu_graph_id", annotation_id.c_str()); + auto annotation_id = std::to_string(captured_graph_info->GenerateUniqueAnnotationID(new_batch_size)); + run_options_->AddConfigEntry("gpu_graph_id", annotation_id.c_str()); } if (g_log.enabled && g_log.model_input_values) { auto& stream = Log("model_input_values"); stream << std::endl; - DumpTensors(stream, inputs_.data(), input_names_.data(), input_names_.size(), true); + DumpTensors(model_, stream, inputs_.data(), input_names_.data(), input_names_.size(), true); } if (g_log.enabled && g_log.model_output_shapes) { auto& stream = Log("model_output_shapes"); stream << std::endl; - DumpTensors(stream, outputs_.data(), output_names_.data(), output_names_.size(), false); + DumpTensors(model_, stream, outputs_.data(), output_names_.data(), output_names_.size(), false); } - session.Run(&run_options, input_names_.data(), inputs_.data(), input_names_.size(), output_names_.data(), outputs_.data(), output_names_.size()); + session.Run(run_options_.get(), input_names_.data(), inputs_.data(), input_names_.size(), + output_names_.data(), outputs_.data(), output_names_.size()); if (g_log.enabled && g_log.model_output_values) { auto& stream = Log("model_output_values"); stream << std::endl; - DumpTensors(stream, outputs_.data(), output_names_.data(), output_names_.size(), true); + DumpTensors(model_, stream, outputs_.data(), output_names_.data(), output_names_.size(), true); } } +OrtValue* State::GetInput(const char* name) { + for (size_t i = 0; i < input_names_.size(); i++) { + if (std::strcmp(input_names_[i], name) == 0) { + return inputs_[i]; + } + } + return nullptr; +} + OrtValue* State::GetOutput(const char* name) { for (size_t i = 0; i < output_names_.size(); i++) { if (std::strcmp(output_names_[i], name) == 0) { @@ -90,6 +90,27 @@ void State::ClearIO() { outputs_.clear(); } +void State::SetActiveAdapter(Adapters* adapters, const std::string& adapter_name) { + if (!adapters_) { + adapters_ = adapters->shared_from_this(); + } else if (adapters_.get() != adapters) { + // Two different instances of Adapters are being used. The Generator state can only manage + // active adapters from a single Adapters container. + throw std::runtime_error("Generator state can only register a single Adapters container."); + } + + run_options_->AddActiveLoraAdapter(*adapters_->AcquireAdapter(adapter_name)); + adapter_names_.push_back(adapter_name); +} + +State::~State() { + if (adapters_) { + for (const auto& adapter_name : adapter_names_) { + adapters_->ReleaseAdapter(adapter_name); + } + } +} + std::vector PadInputs(std::span> sequences, int32_t pad_token_id) { bool pad_right_{true}; @@ -183,6 +204,12 @@ std::vector Tokenizer::DecodeBatch(std::span sequenc return strings; } +int32_t Tokenizer::TokenToTokenId(const char* token) const { + extTokenId_t token_id; + CheckResult(OrtxConvertTokenToId(tokenizer_, token, &token_id)); + return token_id; +} + #if USE_CUDA // Since Python/Others can and will hold onto a generator object past the model object's lifetime we need to ensure // the allocator used is not destroyed until last. This keeps the allocator around until exit, after all other memory @@ -244,9 +271,6 @@ ONNXTensorElementDataType SessionInfo::GetOutputDataType(const std::string& name } Model::Model(std::unique_ptr config) : config_{std::move(config)} { - // TODO: add function to create run options - run_options_ = OrtRunOptions::Create(); - CreateSessionOptions(); } @@ -258,99 +282,112 @@ void Model::InitDeviceAllocator([[maybe_unused]] OrtSession& session) { if (device_type_ == DeviceType::CUDA) { allocator_device_ = GetCudaAllocator(session); } -#elif USE_DML +#endif +#if USE_DML if (device_type_ == DeviceType::DML) { memory_info_device_ = OrtMemoryInfo::Create("DML", OrtAllocatorType::OrtDeviceAllocator, 0, OrtMemType::OrtMemTypeDefault); dml_owned_allocator_ = Ort::Allocator::Create(session, *memory_info_device_); allocator_device_ = dml_owned_allocator_.get(); } #endif - + allocator_kvcache_ = allocator_device_; +#if USE_WEBGPU + if (device_type_ == DeviceType::WEBGPU) { + // for webgpu we only use device memory for kv_cache + memory_info_device_ = OrtMemoryInfo::Create("WebGPU_Buffer", OrtAllocatorType::OrtDeviceAllocator, 0, OrtMemType::OrtMemTypeDefault); + webgpu_owned_allocator_ = Ort::Allocator::Create(session, *memory_info_device_); + allocator_kvcache_ = webgpu_owned_allocator_.get(); + } +#endif session_info_ = std::make_unique(session); captured_graph_pool_ = std::make_shared(config_.get(), session_info_.get(), allocator_device_); } -void Model::CreateSessionOptions() { - session_options_ = OrtSessionOptions::Create(); - auto& ort_options = *session_options_; - auto& options = config_->model.decoder.session_options; - +void Model::CreateSessionOptionsFromConfig(const Config::SessionOptions& config_session_options, + OrtSessionOptions& session_options, + bool is_primary_session_options, + bool disable_graph_capture) { // Default to a limit of 16 threads to optimize performance constexpr int min_thread_nums = 1; constexpr int max_thread_nums = 16; int num_of_cores = std::max(min_thread_nums, static_cast(std::thread::hardware_concurrency() / 2)); - ort_options.SetIntraOpNumThreads(std::min(num_of_cores, max_thread_nums)); + session_options.SetIntraOpNumThreads(std::min(num_of_cores, max_thread_nums)); - if (options.intra_op_num_threads.has_value()) { - ort_options.SetIntraOpNumThreads(options.intra_op_num_threads.value()); + if (config_session_options.intra_op_num_threads.has_value()) { + session_options.SetIntraOpNumThreads(config_session_options.intra_op_num_threads.value()); } - if (options.inter_op_num_threads.has_value()) { - ort_options.SetInterOpNumThreads(options.inter_op_num_threads.value()); + if (config_session_options.inter_op_num_threads.has_value()) { + session_options.SetInterOpNumThreads(config_session_options.inter_op_num_threads.value()); } - if (options.enable_cpu_mem_arena.has_value()) { - if (options.enable_cpu_mem_arena.value()) - ort_options.EnableCpuMemArena(); + if (config_session_options.enable_cpu_mem_arena.has_value()) { + if (config_session_options.enable_cpu_mem_arena.value()) + session_options.EnableCpuMemArena(); else - ort_options.DisableCpuMemArena(); + session_options.DisableCpuMemArena(); } - if (options.enable_mem_pattern.has_value()) { - if (options.enable_cpu_mem_arena.value()) - ort_options.EnableMemPattern(); + if (config_session_options.enable_mem_pattern.has_value()) { + if (config_session_options.enable_cpu_mem_arena.value()) + session_options.EnableMemPattern(); else - ort_options.DisableMemPattern(); + session_options.DisableMemPattern(); } - if (options.log_id.has_value()) { - ort_options.SetLogId(options.log_id.value().c_str()); + if (config_session_options.log_id.has_value()) { + session_options.SetLogId(config_session_options.log_id.value().c_str()); } - if (options.log_severity_level.has_value()) { - ort_options.SetLogSeverityLevel(options.log_severity_level.value()); + if (config_session_options.log_severity_level.has_value()) { + session_options.SetLogSeverityLevel(config_session_options.log_severity_level.value()); } - if (options.enable_profiling.has_value()) { - fs::path profile_file_prefix{options.enable_profiling.value()}; - ort_options.EnableProfiling(profile_file_prefix.c_str()); + if (config_session_options.enable_profiling.has_value()) { + fs::path profile_file_prefix{config_session_options.enable_profiling.value()}; + session_options.EnableProfiling(profile_file_prefix.c_str()); } - if (options.disable_cpu_ep_fallback.has_value()) { - if (options.disable_cpu_ep_fallback.value()) - ort_options.DisableCpuEpFallback(); + if (config_session_options.disable_cpu_ep_fallback.has_value()) { + if (config_session_options.disable_cpu_ep_fallback.value()) + session_options.DisableCpuEpFallback(); else - ort_options.EnableCpuEpFallback(); + session_options.EnableCpuEpFallback(); } - if (options.disable_quant_qdq.has_value()) { - if (options.disable_quant_qdq.value()) - ort_options.DisableQuantQdq(); + if (config_session_options.disable_quant_qdq.has_value()) { + if (config_session_options.disable_quant_qdq.value()) + session_options.DisableQuantQdq(); else - ort_options.EnableQuantQdq(); + session_options.EnableQuantQdq(); } - if (options.enable_quant_qdq_cleanup.has_value()) { - if (options.enable_quant_qdq_cleanup.value()) - ort_options.EnableQuantQdqCleanup(); + if (config_session_options.enable_quant_qdq_cleanup.has_value()) { + if (config_session_options.enable_quant_qdq_cleanup.value()) + session_options.EnableQuantQdqCleanup(); else - ort_options.DisableQuantQdqCleanup(); + session_options.DisableQuantQdqCleanup(); + } + + if (config_session_options.ep_context_enable.has_value()) { + if (config_session_options.ep_context_enable.value()) + session_options.SetEpContextEnable(); } - if (options.ep_context_enable.has_value()) { - if (options.ep_context_enable.value()) - ort_options.SetEpContextEnable(); + if (config_session_options.ep_context_embed_mode.has_value()) { + session_options.SetEpContextEmbedMode(config_session_options.ep_context_embed_mode.value().c_str()); } - if (options.ep_context_embed_mode.has_value()) { - ort_options.SetEpContextEmbedMode(options.ep_context_embed_mode.value().c_str()); + if (config_session_options.ep_context_file_path.has_value()) { + session_options.SetEpContextFilePath(config_session_options.ep_context_file_path.value().c_str()); } - if (options.ep_context_file_path.has_value()) { - ort_options.SetEpContextFilePath(options.ep_context_file_path.value().c_str()); + if (config_session_options.provider_options.empty() && config_session_options.use_env_allocators) { + // Share env allocators across sessions that only use the CPU provider + session_options.AddConfigEntry("session.use_env_allocators", "1"); } - for (auto& provider_options : options.provider_options) { + for (auto& provider_options : config_session_options.provider_options) { if (provider_options.name == "cuda") { auto ort_provider_options = OrtCUDAProviderOptionsV2::Create(); std::vector keys, values; @@ -361,11 +398,17 @@ void Model::CreateSessionOptions() { ort_provider_options->Update(keys.data(), values.data(), keys.size()); // Create and set our cudaStream_t - cuda_stream_.Create(); + if (!cuda_stream_.get()) + cuda_stream_.Create(); + ort_provider_options->UpdateValue("user_compute_stream", cuda_stream_.get()); - ort_options.AppendExecutionProvider_CUDA_V2(*ort_provider_options); - device_type_ = DeviceType::CUDA; // Scoring will use CUDA + session_options.AppendExecutionProvider_CUDA_V2(*ort_provider_options); + // Device type determines the scoring device. + // Only use the primary session options to determine the device type + if (is_primary_session_options) + device_type_ = DeviceType::CUDA; // Scoring will use CUDA + } else if (provider_options.name == "rocm") { OrtROCMProviderOptions ort_provider_options; @@ -376,64 +419,92 @@ void Model::CreateSessionOptions() { } Ort::ThrowOnError(Ort::api->UpdateROCMProviderOptions(&ort_provider_options, keys.data(), values.data(), keys.size())); - ort_options.AppendExecutionProvider_ROCM(ort_provider_options); + session_options.AppendExecutionProvider_ROCM(ort_provider_options); #if USE_DML } else if (provider_options.name == "dml") { - auto current_module_path = CurrentModulePath(); - dml_objects_ = DmlHelpers::CreateDmlObjects(current_module_path); + if (!p_dml_api_) { + auto current_module_path = CurrentModulePath(); + dml_objects_ = DmlHelpers::CreateDmlObjects(current_module_path); - constexpr auto directml_dll = "DirectML.dll"; - wil::unique_hmodule smart_directml_dll(LoadLibraryEx(directml_dll, nullptr, 0)); - THROW_LAST_ERROR_IF(!smart_directml_dll); + constexpr auto directml_dll = "DirectML.dll"; + wil::unique_hmodule smart_directml_dll(LoadLibraryEx(directml_dll, nullptr, 0)); + THROW_LAST_ERROR_IF(!smart_directml_dll); - if (LoadLibraryEx(directml_dll, nullptr, 0) == NULL) { - throw std::runtime_error("DirectML.dll not found"); - } + if (LoadLibraryEx(directml_dll, nullptr, 0) == NULL) { + throw std::runtime_error("DirectML.dll not found"); + } - auto dml_create_device1_fn = reinterpret_cast(GetProcAddress(smart_directml_dll.get(), "DMLCreateDevice1")); - THROW_LAST_ERROR_IF(!dml_create_device1_fn); - THROW_IF_FAILED(dml_create_device1_fn(dml_objects_.d3d12_device.Get(), DML_CREATE_DEVICE_FLAG_NONE, DML_FEATURE_LEVEL_5_0, IID_PPV_ARGS(&dml_device_))); + auto dml_create_device1_fn = reinterpret_cast(GetProcAddress(smart_directml_dll.get(), "DMLCreateDevice1")); + THROW_LAST_ERROR_IF(!dml_create_device1_fn); + THROW_IF_FAILED(dml_create_device1_fn(dml_objects_.d3d12_device.Get(), DML_CREATE_DEVICE_FLAG_NONE, DML_FEATURE_LEVEL_5_0, IID_PPV_ARGS(&dml_device_))); - Ort::ThrowOnError(Ort::api->GetExecutionProviderApi("DML", ORT_API_VERSION, reinterpret_cast(&p_dml_api_))); - if (!p_dml_api_) { - throw std::runtime_error("Unexpected nullptr getting OrtDmlApi"); - } + Ort::ThrowOnError(Ort::api->GetExecutionProviderApi("DML", ORT_API_VERSION, reinterpret_cast(&p_dml_api_))); + if (!p_dml_api_) { + throw std::runtime_error("Unexpected nullptr getting OrtDmlApi"); + } - dml_execution_context_ = std::make_unique( - dml_objects_.d3d12_device.Get(), - dml_device_.Get(), - dml_objects_.command_queue.Get(), - *allocator_device_, - p_dml_api_); + dml_execution_context_ = std::make_unique( + dml_objects_.d3d12_device.Get(), + dml_device_.Get(), + dml_objects_.command_queue.Get(), + *allocator_device_, + p_dml_api_); - dml_pooled_upload_heap_ = std::make_unique(dml_objects_.d3d12_device.Get(), dml_execution_context_.get()); - dml_readback_heap_ = std::make_unique(dml_objects_.d3d12_device.Get(), dml_execution_context_.get()); + dml_pooled_upload_heap_ = std::make_unique(dml_objects_.d3d12_device.Get(), dml_execution_context_.get()); + dml_readback_heap_ = std::make_unique(dml_objects_.d3d12_device.Get(), dml_execution_context_.get()); + } - // The vision model doesn't support graph capture because of dynamic shapes, so don't enable graph capture for it - if (!config_->model.vision.filename.empty()) { - vision_session_options_ = ort_options.Clone(); - p_dml_api_->SessionOptionsAppendExecutionProvider_DML1(vision_session_options_.get(), dml_device_.Get(), dml_objects_.command_queue.Get()); + if (!disable_graph_capture) { + session_options.AddConfigEntry("ep.dml.enable_graph_capture", "1"); + session_options.AddConfigEntry("ep.dml.disable_memory_arena", "1"); } - ort_options.AddConfigEntry("ep.dml.enable_graph_capture", "1"); - ort_options.AddConfigEntry("ep.dml.disable_memory_arena", "1"); - p_dml_api_->SessionOptionsAppendExecutionProvider_DML1(&ort_options, dml_device_.Get(), dml_objects_.command_queue.Get()); - is_intel_device_ = DmlHelpers::IsIntelDevice(dml_objects_.d3d12_device.Get()); + p_dml_api_->SessionOptionsAppendExecutionProvider_DML1(&session_options, dml_device_.Get(), dml_objects_.command_queue.Get()); - device_type_ = DeviceType::DML; // We use a DML allocator for input/output caches, but other tensors will use CPU tensors + if (is_primary_session_options) + device_type_ = DeviceType::DML; // We use a DML allocator for input/output caches, but other tensors will use CPU tensors #endif } else if (provider_options.name == "qnn") { + session_options.AddConfigEntry("ep.share_ep_contexts", "1"); std::unordered_map opts; for (auto& option : provider_options.options) { opts.emplace(option.first, option.second); } - - ort_options.AppendExecutionProvider("QNN", opts); + session_options.AppendExecutionProvider("QNN", opts); + } else if (provider_options.name == "webgpu") { + device_type_ = DeviceType::WEBGPU; + std::unordered_map opts; + for (auto& option : provider_options.options) { + opts.emplace(option.first, option.second); + } + session_options.AppendExecutionProvider("WebGPU", opts); } else throw std::runtime_error("Unknown provider type: " + provider_options.name); } } +void Model::CreateSessionOptions() { + session_options_ = OrtSessionOptions::Create(); + CreateSessionOptionsFromConfig(config_->model.decoder.session_options, *session_options_, true, false); + + for (auto& pipeline_model : config_->model.decoder.pipeline) { + if (pipeline_model.session_options.has_value()) { + auto emplaced = pipeline_session_options_.emplace(pipeline_model.model_id, OrtSessionOptions::Create()); + CreateSessionOptionsFromConfig(*pipeline_model.session_options, *emplaced.first->second, false, false); + } + } +} + +OrtSessionOptions* Model::GetSessionOptions(const std::string& model_id) const { + auto session_options = pipeline_session_options_.find(model_id); + // Use the pipeline model session options id config defined it. + if (session_options != pipeline_session_options_.end()) + return session_options->second.get(); + + // Else fallback to the main session options. + return session_options_.get(); +} + std::shared_ptr Model::CreateTokenizer() const { return std::make_shared(*config_); } @@ -442,17 +513,23 @@ std::shared_ptr Model::CreateMultiModalProcessor() const { return std::make_shared(*config_, *session_info_); } -std::shared_ptr CreateModel(OrtEnv& ort_env, const char* config_path) { - auto config = std::make_unique(fs::path(config_path)); +std::shared_ptr CreateModel(OrtEnv& ort_env, const char* config_path, const RuntimeSettings* settings /*= nullptr*/) { + std::string config_overlay; + if (settings) { + config_overlay = settings->GenerateConfigOverlay(); + } + auto config = std::make_unique(fs::path(config_path), config_overlay); if (config->model.type == "gpt2") return std::make_shared(std::move(config), ort_env); - if (config->model.type == "llama" || config->model.type == "gemma" || config->model.type == "gemma2" || config->model.type == "mistral" || config->model.type == "phi" || config->model.type == "phi3" || config->model.type == "phi3small" || config->model.type == "phimoe" || config->model.type == "qwen2") + if (config->model.type == "llama" || config->model.type == "gemma" || config->model.type == "gemma2" || config->model.type == "mistral" || config->model.type == "phi" || config->model.type == "phi3" || config->model.type == "phi3small" || config->model.type == "phimoe" || config->model.type == "qwen2" || config->model.type == "nemotron" || config->model.type == "chatglm") return std::make_shared(std::move(config), ort_env); if (config->model.type == "whisper") return std::make_shared(std::move(config), ort_env); if (config->model.type == "phi3v") return std::make_shared(std::move(config), ort_env); + if (config->model.type == "decoder-pipeline") + return std::make_shared(std::move(config), ort_env); throw std::runtime_error("Unsupported model_type in config.json: " + config->model.type); } @@ -462,8 +539,8 @@ std::shared_ptr CreateGeneratorParams(const Model& model) { } // Used by benchmarking tests only, should not be used normally -std::shared_ptr CreateGeneratorParams() { - return std::make_shared(); +std::shared_ptr CreateGeneratorParams(const Config& config) { + return std::make_shared(config); } void ConvertFp16ToFp32(OrtAllocator& allocator, OrtValue& in, std::unique_ptr& p_out, DeviceType device_type, cudaStream_t stream) { @@ -486,8 +563,9 @@ void ConvertFp16ToFp32(OrtAllocator& allocator, OrtValue& in, std::unique_ptrGetTensorMutableData(); switch (device_type) { + case DeviceType::WEBGPU: case DeviceType::DML: - // DML doesn't currently support on-device scoring, so we fall back to the CPU + // DML, WebGpu doesn't currently support on-device scoring, so we fall back to the CPU case DeviceType::CPU: for (int i = 0; i < count; i++) fp32[i] = FastFloat16ToFloat32(fp16[i]); @@ -533,7 +611,7 @@ void ConvertFp32ToFp16(OrtAllocator& allocator, OrtValue& in, std::unique_ptr Model::ExpandInputs(std::unique_ptr& input, // If we're on CUDA, we still want to do the copy to move the data over to CUDA memory where we will read from it later. // DML doesn't currently support on-device scoring, so we go the same route as the CPU - if (num_beams == 1 && (device_type_ == DeviceType::CPU || device_type_ == DeviceType::DML)) { + if (num_beams == 1 && (device_type_ == DeviceType::CPU || device_type_ == DeviceType::DML || device_type_ == DeviceType::WEBGPU)) { return std::move(input); } @@ -567,8 +645,9 @@ std::unique_ptr Model::ExpandInputs(std::unique_ptr& input, auto* target = expanded_data; switch (device_type_) { + case DeviceType::WEBGPU: case DeviceType::DML: - // DML doesn't currently support on-device scoring, so we use the CPU for non-cache inputs/outputs + // DML and WebGpu doesn't currently support on-device scoring, so we use the CPU for non-cache inputs/outputs case DeviceType::CPU: for (int i = 0; i < batch_size; i++) { for (int j = 0; j < num_beams; j++) { @@ -598,6 +677,8 @@ MultiModalProcessor::MultiModalProcessor(Config& config, const SessionInfo& sess : tokenizer_{std::make_shared(config)} { if (config.model.type == "phi3v") { image_processor_ = std::make_shared(config, session_info); + } else if (config.model.type == "whisper") { + audio_processor_ = std::make_shared(config, session_info); } else { throw std::runtime_error("MultiModalProcessor cannot be created. Expected a multimodal model. Actual: " + config.model.type); } diff --git a/src/models/model.h b/src/models/model.h index 552fa4b94..9eed5df75 100644 --- a/src/models/model.h +++ b/src/models/model.h @@ -5,6 +5,8 @@ #include "captured_graph_pool.h" #include "utils.h" #include "prompt_image_processor.h" +#include "audio_processor.h" +#include "adapters.h" #if USE_DML #include "dml_provider_factory.h" @@ -26,26 +28,37 @@ void CheckResult(extError_t error); struct State { State(const GeneratorParams& params, const Model& model_); - virtual ~State() = default; + virtual ~State(); virtual RoamingArray Run(int current_length, RoamingArray next_tokens, RoamingArray next_indices = {}) = 0; virtual const CapturedGraphInfo* GetCapturedGraphInfo() const { return nullptr; } + virtual void Finalize() {} - OrtValue* GetOutput(const char* name); + OrtValue* GetInput(const char* name); + + virtual OrtValue* GetOutput(const char* name); + + void ClearIO(); // Clear all inputs/outputs + + void SetActiveAdapter(Adapters* adapters, const std::string& adapter_name); + + const Model& model_; std::shared_ptr params_; std::vector input_names_, output_names_; + std::vector adapter_names_; std::vector inputs_, outputs_; protected: - void Run(OrtSession& session, OrtRunOptions& run_options, int new_batch_size); // Uses the inputs below to run - void ClearIO(); // Clear all inputs/outputs + void Run(OrtSession& session, int new_batch_size); // Uses the inputs below to run bool first_run_{true}; + std::unique_ptr run_options_; + private: - const Model& model_; int current_batch_size_{0}; + std::shared_ptr adapters_; }; struct TokenizerStream : LeakChecked { @@ -74,6 +87,8 @@ struct Tokenizer : std::enable_shared_from_this, LeakChecked EncodeBatch(std::span strings) const; std::vector DecodeBatch(std::span sequences, size_t count) const; + int32_t TokenToTokenId(const char* token) const; + OrtxPtr tokenizer_; std::shared_ptr external_owner_; // Set to 'this' when created by the C API to preserve lifetime @@ -86,6 +101,7 @@ struct MultiModalProcessor : std::enable_shared_from_this { std::shared_ptr tokenizer_; std::shared_ptr image_processor_; + std::shared_ptr audio_processor_; std::shared_ptr external_owner_; // Set to 'this' when created by the C API to preserve lifetime }; @@ -119,15 +135,16 @@ struct Model : std::enable_shared_from_this, LeakChecked { CapturedGraphPool* GetCapturedGraphPool() const { return captured_graph_pool_.get(); } + OrtSessionOptions* GetSessionOptions(const std::string& model_id) const; + std::unique_ptr config_; std::unique_ptr session_options_; - std::unique_ptr vision_session_options_; - std::unique_ptr run_options_; cuda_stream_holder cuda_stream_; DeviceType device_type_{DeviceType::CPU}; Ort::Allocator& allocator_cpu_{Ort::Allocator::GetWithDefaultOptions()}; - Ort::Allocator* allocator_device_{}; // Can be CUDA or CPU based on the DeviceType in the model + Ort::Allocator* allocator_device_{}; // Can be CUDA or CPU based on the DeviceType in the model + Ort::Allocator* allocator_kvcache_{}; // keep allocator for kv_cache seperate to allow that only kv_cache is on device std::unique_ptr session_info_; @@ -140,14 +157,17 @@ struct Model : std::enable_shared_from_this, LeakChecked { const OrtDmlApi* GetOrtDmlApi() const { return p_dml_api_; } IDMLDevice* GetDmlDevice() const { return dml_device_.Get(); } ID3D12Device* GetD3D12Device() const { return dml_objects_.d3d12_device.Get(); } - bool IsIntelDevice() const { return is_intel_device_; } #endif protected: void InitDeviceAllocator(OrtSession& session); void CreateSessionOptions(); - private: + void CreateSessionOptionsFromConfig(const Config::SessionOptions& config_session_options, + OrtSessionOptions& session_options, + bool is_primary_session_options, + bool disable_graph_capture); + #if USE_DML mutable DmlObjects dml_objects_; const OrtDmlApi* p_dml_api_{}; @@ -155,12 +175,17 @@ struct Model : std::enable_shared_from_this, LeakChecked { std::unique_ptr dml_execution_context_; std::unique_ptr dml_readback_heap_; ComPtr dml_device_; - bool is_intel_device_{}; std::unique_ptr dml_owned_allocator_; +#endif +#if USE_WEBGPU + std::unique_ptr webgpu_owned_allocator_; + std::unique_ptr webgpu_io_binding_; +#endif +#if USE_DML || USE_WEBGPU std::unique_ptr memory_info_device_; #endif - std::shared_ptr captured_graph_pool_; + std::map> pipeline_session_options_; }; } // namespace Generators diff --git a/src/models/multi_modal_vision_model.cpp b/src/models/multi_modal_vision_model.cpp index ecfc01e6d..9bf690104 100644 --- a/src/models/multi_modal_vision_model.cpp +++ b/src/models/multi_modal_vision_model.cpp @@ -12,90 +12,16 @@ RoamingArray MakeDummy() { return RoamingArray(); } -#pragma warning(push) -#pragma warning(disable : 4189) // local variable is initialized but not referenced - -void Select(const Model& model, std::span input_ids, OrtValue* hidden_states, - OrtValue* visual_features, int32_t num_img_tokens, int32_t hidden_size, DeviceType device_type, - cudaStream_t cuda_stream) { - // Assme batch_size = 1 - constexpr int32_t min_input_id = -1000000000; - constexpr int64_t expected_batch_size = 1; - - // Find the position in the input_ids that corresponds to the start of the image tokens. - // Image tokens are represented by negative values in the input_ids. - const int64_t sequence_length = input_ids.size(); - int32_t image_position_start{}; - for (int64_t idx = 0; idx < sequence_length; ++idx) { - if (input_ids[idx] < 0 && input_ids[idx] > min_input_id) { - image_position_start = static_cast(idx); - break; - } - } - - // Replace the positions in the hidden_states tensor that correspond to the image tokens - // with the visual features tensor. - const int32_t start_pos = image_position_start * hidden_size; - const int32_t element_count = num_img_tokens * hidden_size; - const int32_t hidden_states_element_count = static_cast(sequence_length) * hidden_size; - - switch (device_type) { - case DeviceType::CPU: { - auto target = cpu_span(hidden_states->GetTensorMutableData(), hidden_states_element_count) - .subspan(start_pos, element_count); - auto source = cpu_span(visual_features->GetTensorMutableData(), element_count); - std::copy(source.begin(), source.end(), target.begin()); - break; - } -#if USE_CUDA - case DeviceType::CUDA: { - auto target = gpu_span(hidden_states->GetTensorMutableData(), hidden_states_element_count) - .subspan(start_pos, element_count); - auto source = gpu_span(visual_features->GetTensorMutableData(), element_count); - CudaCheck() == cudaMemcpyAsync(target.data(), source.data(), source.size_bytes(), - cudaMemcpyDeviceToDevice, cuda_stream); - break; - } -#endif - -#if USE_DML - case DeviceType::DML: { - ComPtr source_resource; - Ort::ThrowOnError(model.GetOrtDmlApi()->GetD3D12ResourceFromAllocation(model.allocator_device_, visual_features->GetTensorMutableRawData(), &source_resource)); - - ComPtr target_resource; - Ort::ThrowOnError(model.GetOrtDmlApi()->GetD3D12ResourceFromAllocation(model.allocator_device_, hidden_states->GetTensorMutableRawData(), &target_resource)); - - model.GetDmlExecutionContext()->CopyBufferRegion( - target_resource.Get(), - start_pos * sizeof(uint16_t), - D3D12_RESOURCE_STATE_UNORDERED_ACCESS, - source_resource.Get(), - 0, - D3D12_RESOURCE_STATE_UNORDERED_ACCESS, - element_count * sizeof(uint16_t)); - - // Execute the cached command list - ComPtr fence; - uint64_t completion_value; - model.GetDmlExecutionContext()->ExecuteCommandList(nullptr, &fence, &completion_value); - break; - } -#endif - default: - throw std::runtime_error("Unsupported device type for Select."); - } -} - -#pragma warning(pop) - int64_t GetNumImageTokens(const std::vector& extra_inputs, + const std::string& pixel_values_name, const std::string& image_sizes_name) { + std::shared_ptr pixel_values; std::shared_ptr image_sizes; for (size_t i = 0; i < extra_inputs.size(); ++i) { - if (extra_inputs[i].name == image_sizes_name) { + if (extra_inputs[i].name == pixel_values_name) { + pixel_values = extra_inputs[i].tensor; + } else if (extra_inputs[i].name == image_sizes_name) { image_sizes = extra_inputs[i].tensor; - break; } } @@ -104,55 +30,43 @@ int64_t GetNumImageTokens(const std::vector& extra_input return 0; } - if (image_sizes->ort_tensor_->GetTensorTypeAndShapeInfo()->GetShape() != std::vector{1, 2}) { - throw std::runtime_error("image_sizes tensor must have 2 elements"); + auto image_sizes_shape = image_sizes->ort_tensor_->GetTensorTypeAndShapeInfo()->GetShape(); + auto num_images = pixel_values->ort_tensor_->GetTensorTypeAndShapeInfo()->GetShape()[0]; + if (image_sizes_shape != std::vector{num_images, 2}) { + std::string wrong_image_sizes_shape = "("; + for (int i = 0; i < image_sizes_shape.size(); i++) { + wrong_image_sizes_shape += std::to_string(image_sizes_shape[i]); + std::string eos = (i != image_sizes_shape.size() - 1) ? ", " : ")"; + wrong_image_sizes_shape += eos; + } + throw std::runtime_error("image_sizes tensor must be of shape (num_images, 2), got " + wrong_image_sizes_shape); } auto image_sizes_data = image_sizes->ort_tensor_->GetTensorMutableData(); - const int64_t h = image_sizes_data[0] / 336; - const int64_t w = image_sizes_data[1] / 336; - return ((h * w + 1) * 144) + 1 + ((h + 1) * 12); -} - -std::unique_ptr GetVisualFeatures(OrtAllocator& device_allocator, const SessionInfo& session_info, - const std::string& visual_features_name, int32_t hidden_size, - int64_t num_image_tokens) { - constexpr int32_t batch_size = 1; - if (!session_info.HasOutput(visual_features_name)) { - throw std::runtime_error("Visual features output not found in the model"); - } - - auto type = session_info.GetOutputDataType(visual_features_name); - - std::vector shape = {batch_size, num_image_tokens, hidden_size}; - std::unique_ptr visual_features; - - switch (type) { - case ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT: - visual_features = OrtValue::CreateTensor(device_allocator, shape); - break; - case ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT16: - visual_features = OrtValue::CreateTensor(device_allocator, shape); - break; - default: - throw std::runtime_error("Unsupported data type for visual features: " + std::to_string(type)); + int64_t num_image_tokens = 0; + for (int i = 0; i < num_images; i++) { + int64_t h = image_sizes_data[i * num_images] / 336; + int64_t w = image_sizes_data[i * num_images + 1] / 336; + num_image_tokens += ((h * w + 1) * 144) + 1 + ((h + 1) * 12); } - - return visual_features; + return num_image_tokens; } } // namespace MultiModalVisionModel::MultiModalVisionModel(std::unique_ptr config, OrtEnv& ort_env) : Model{std::move(config)} { - embedding_session_ = OrtSession::Create( - ort_env, (config_->config_path / fs::path(config_->model.embedding.filename)).c_str(), session_options_.get()); + // The embedding and vision models don't support graph capture because of control flow nodes, so disable graph capture for them + auto vision_session_options = OrtSessionOptions::Create(); + CreateSessionOptionsFromConfig(config_->model.decoder.session_options, *vision_session_options, true, true); - // User a custom vision session if available; otherwise, fallback to the generic options - auto* vision_session_options = vision_session_options_ ? vision_session_options_.get() : session_options_.get(); + auto embedding_session_options = OrtSessionOptions::Create(); + CreateSessionOptionsFromConfig(config_->model.decoder.session_options, *embedding_session_options, true, true); + embedding_session_ = OrtSession::Create( + ort_env, (config_->config_path / fs::path(config_->model.embedding.filename)).c_str(), embedding_session_options.get()); vision_session_ = OrtSession::Create( - ort_env, (config_->config_path / fs::path(config_->model.vision.filename)).c_str(), vision_session_options); + ort_env, (config_->config_path / fs::path(config_->model.vision.filename)).c_str(), vision_session_options.get()); decoder_session_ = OrtSession::Create( ort_env, (config_->config_path / fs::path(config_->model.decoder.filename)).c_str(), session_options_.get()); @@ -165,42 +79,38 @@ std::unique_ptr MultiModalVisionModel::CreateState(RoamingArray return std::make_unique(*this, sequence_lengths, params); } -EmbeddingState::EmbeddingState(const MultiModalVisionModel& model, const GeneratorParams& params, const CapturedGraphInfo* captured_graph_info) +EmbeddingState::EmbeddingState(const MultiModalVisionModel& model, const GeneratorParams& params, const int64_t num_image_tokens) : State{params, model}, model_{model}, - captured_graph_info_{captured_graph_info} { + num_image_tokens_{num_image_tokens} { input_ids_.Add(); + image_features_.Add(); inputs_embeds_.Add(); } void EmbeddingState::UpdateInputsAndOutputs(RoamingArray next_tokens) { input_ids_.Update(next_tokens); - inputs_embeds_.UpdateSequenceLength(); + image_features_.Update(); } RoamingArray EmbeddingState::Run(int current_length, RoamingArray next_tokens, RoamingArray next_indices) { int batch_size = static_cast(input_ids_.GetShape()[0]); - State::Run(*model_.embedding_session_, *model_.run_options_, batch_size); + State::Run(*model_.embedding_session_, batch_size); return MakeDummy(); } -VisionState::VisionState(const MultiModalVisionModel& model, const GeneratorParams& params) +VisionState::VisionState(const MultiModalVisionModel& model, const GeneratorParams& params, const int64_t num_image_tokens) : State{params, model}, - model_{model} { + model_{model}, + num_image_tokens_{num_image_tokens} { extra_inputs_.Add(); - num_image_tokens_ = static_cast(GetNumImageTokens(params_->extra_inputs, model_.config_->model.vision.inputs.image_sizes)); - if (num_image_tokens_ > 0) { - visual_features_ = GetVisualFeatures(*model_.allocator_device_, *model_.session_info_, - model_.config_->model.vision.outputs.visual_features, - params_->hidden_size, num_image_tokens_); - output_names_.push_back(model_.config_->model.vision.outputs.visual_features.c_str()); - outputs_.push_back(visual_features_.get()); - } + image_features_.Add(); } RoamingArray VisionState::Run(int current_length, RoamingArray next_tokens, RoamingArray next_indices) { - State::Run(*model_.vision_session_, *model_.run_options_, 1); + const int num_images = static_cast(inputs_[0]->GetTensorTypeAndShapeInfo()->GetShape()[0]); + State::Run(*model_.vision_session_, num_images); return MakeDummy(); } @@ -218,14 +128,15 @@ DecoderState::DecoderState(const MultiModalVisionModel& model, RoamingArray DecoderState::Run(int current_length, RoamingArray next_tokens, RoamingArray next_indices) { int batch_size = static_cast(inputs_embeds_.GetShape()[0]); - State::Run(*model_.decoder_session_, *model_.run_options_, batch_size); + State::Run(*model_.decoder_session_, batch_size); return logits_.Get(); } -void DecoderState::UpdateInputsOutputs(int current_length, RoamingArray beam_indices) { +void DecoderState::UpdateInputsAndOutputs(int current_length, RoamingArray beam_indices) { position_inputs_.Update(current_length); kv_cache_.Update(beam_indices.GetCPU(), current_length); logits_.Update(); + inputs_embeds_.UpdateSequenceLength(); } MultiModalPipelineState::MultiModalPipelineState(const MultiModalVisionModel& model, @@ -233,35 +144,31 @@ MultiModalPipelineState::MultiModalPipelineState(const MultiModalVisionModel& mo const GeneratorParams& params) : State{params, model}, model_{model}, - captured_graph_info_{model.GetCapturedGraphPool()->ReserveCapturedGraph(model, params)}, - embedding_state_{std::make_unique(model, params, captured_graph_info_.get())}, - vision_state_{std::make_unique(model_, params)}, - decoder_state_{std::make_unique(model_, sequence_lengths_unk, params, captured_graph_info_.get())} { + num_image_tokens_{GetNumImageTokens(params_->extra_inputs, model_.config_->model.vision.inputs.pixel_values, model_.config_->model.vision.inputs.image_sizes)}, + captured_graph_info_{model.GetCapturedGraphPool()->ReserveCapturedGraph(model, params)} { + embedding_state_ = std::make_unique(model, params, num_image_tokens_); + vision_state_ = std::make_unique(model_, params, num_image_tokens_); + decoder_state_ = std::make_unique(model_, sequence_lengths_unk, params, captured_graph_info_.get()); } RoamingArray MultiModalPipelineState::Run(int current_length, RoamingArray next_tokens, RoamingArray next_indices) { // Pipeline state defines the pipeline of the execution of the models // Prompt stage: - // - input_ids -> |embeddings_model| -> |inputs_embeds| - // - pixel_values, img_sizes -> |vision_model| -> |inputs_embeds| - // - inputs_embeds, visual_features -> |Select| -> |inputs_embeds| - // - inputs_embeds -> |decoder_model| -> |logits| + // - pixel_values, image_sizes -> |vision_model| -> image_features + // - input_ids, image_features -> |embeddings_model| -> inputs_embeds + // - inputs_embeds -> |decoder_model| -> logits // Generation stage: - // - input_ids -> |embeddings_model| -> |inputs_embeds| - // - inputs_embeds -> |decoder_model| -> |logits| + // - input_ids, image_features -> |embeddings_model| -> inputs_embeds + // - inputs_embeds -> |decoder_model| -> logits if (is_prompt_) { - embedding_state_->Run(current_length, next_tokens, next_indices); - if (vision_state_->num_image_tokens_ > 0) { + if (num_image_tokens_ > 0) { vision_state_->Run(current_length, next_tokens, next_indices); - - // Run the select logic - Select(model_, params_->input_ids, embedding_state_->inputs_embeds_.Get(), - vision_state_->visual_features_.get(), vision_state_->num_image_tokens_, - params_->hidden_size, params_->device_type, params_->cuda_stream); } + embedding_state_->image_features_.ReuseImageFeaturesBuffer(vision_state_->image_features_); + embedding_state_->inputs_embeds_.ReuseEmbeddingsBuffer(decoder_state_->inputs_embeds_); + embedding_state_->Run(current_length, next_tokens, next_indices); - decoder_state_->inputs_embeds_.ReuseEmbeddingsBuffer(embedding_state_->inputs_embeds_); auto logits = decoder_state_->Run(current_length, next_tokens, next_indices); is_prompt_ = false; @@ -271,10 +178,11 @@ RoamingArray MultiModalPipelineState::Run(int current_length, RoamingArra } embedding_state_->UpdateInputsAndOutputs(next_tokens); - decoder_state_->UpdateInputsOutputs(current_length, next_indices); + decoder_state_->UpdateInputsAndOutputs(current_length, next_indices); + embedding_state_->inputs_embeds_.ReuseEmbeddingsBuffer(decoder_state_->inputs_embeds_); embedding_state_->Run(current_length, next_tokens, next_indices); - decoder_state_->inputs_embeds_.ReuseEmbeddingsBuffer(embedding_state_->inputs_embeds_); + return decoder_state_->Run(current_length, next_tokens, next_indices); } diff --git a/src/models/multi_modal_vision_model.h b/src/models/multi_modal_vision_model.h index 9b3e62646..65527105f 100644 --- a/src/models/multi_modal_vision_model.h +++ b/src/models/multi_modal_vision_model.h @@ -4,6 +4,7 @@ #pragma once #include "model.h" #include "input_ids.h" +#include "image_features.h" #include "embeddings.h" #include "extra_inputs.h" #include "logits.h" @@ -20,35 +21,37 @@ struct MultiModalVisionModel : Model { std::unique_ptr CreateState(RoamingArray sequence_lengths, const GeneratorParams& params) const override; - std::unique_ptr embedding_session_; // input_ids -> inputs_embeds - std::unique_ptr vision_session_; // pixel_values, img_sizes -> visual_features + std::unique_ptr vision_session_; // pixel_values, image_sizes -> image_features + std::unique_ptr embedding_session_; // input_ids, image_features -> inputs_embeds std::unique_ptr decoder_session_; // inputs_embeds, attention_mask, kv_cache -> logits }; struct EmbeddingState : State { - EmbeddingState(const MultiModalVisionModel& model, const GeneratorParams& params, const CapturedGraphInfo* captured_graph_info); + EmbeddingState(const MultiModalVisionModel& model, const GeneratorParams& params, const int64_t num_image_tokens); EmbeddingState(const EmbeddingState&) = delete; EmbeddingState& operator=(const EmbeddingState&) = delete; RoamingArray Run(int current_length, RoamingArray next_tokens, RoamingArray next_indices = {}) override; - const CapturedGraphInfo* GetCapturedGraphInfo() const override { return captured_graph_info_; }; - private: friend struct MultiModalPipelineState; void UpdateInputsAndOutputs(RoamingArray next_tokens); const MultiModalVisionModel& model_; - const CapturedGraphInfo* captured_graph_info_; - InputIDs input_ids_{model_, *this}; // Model input - Embeddings inputs_embeds_{model_, *this, Embeddings::Mode::Output, // Model output + int64_t num_image_tokens_; + + InputIDs input_ids_{*this}; // Model input + ImageFeatures image_features_{*this, ImageFeatures::Mode::Input, // Optional model input + model_.config_->model.embedding.inputs.image_features, + num_image_tokens_}; + Embeddings inputs_embeds_{*this, Embeddings::Mode::Output, // Model output model_.config_->model.embedding.outputs.embeddings}; }; struct VisionState : State { - VisionState(const MultiModalVisionModel& model, const GeneratorParams& params); + VisionState(const MultiModalVisionModel& model, const GeneratorParams& params, const int64_t num_image_tokens); VisionState(const VisionState&) = delete; VisionState& operator=(const VisionState&) = delete; @@ -59,9 +62,11 @@ struct VisionState : State { friend struct MultiModalPipelineState; const MultiModalVisionModel& model_; - ExtraInputs extra_inputs_{model_, *this}; // Model inputs - std::unique_ptr visual_features_; // Model output - int32_t num_image_tokens_{}; + int64_t num_image_tokens_; + ExtraInputs extra_inputs_{*this}; // Model inputs + ImageFeatures image_features_{*this, ImageFeatures::Mode::Output, // Model output + model_.config_->model.vision.outputs.image_features, + num_image_tokens_}; }; struct DecoderState : State { @@ -78,15 +83,15 @@ struct DecoderState : State { private: friend struct MultiModalPipelineState; - void UpdateInputsOutputs(int current_length, RoamingArray beam_indices); + void UpdateInputsAndOutputs(int current_length, RoamingArray beam_indices); const MultiModalVisionModel& model_; const CapturedGraphInfo* captured_graph_info_; - Embeddings inputs_embeds_{model_, *this, Embeddings::Mode::Input, // Model input + Embeddings inputs_embeds_{*this, Embeddings::Mode::Input, // Model input model_.config_->model.decoder.inputs.embeddings}; - PositionInputs position_inputs_; // Model input - KV_Cache kv_cache_{model_, *this}; // Model input - Logits logits_{model_, *this}; // Model output + PositionInputs position_inputs_; // Model input + KV_Cache kv_cache_{*this}; // Model input + Logits logits_{*this}; // Model output }; struct MultiModalPipelineState : State { @@ -103,6 +108,7 @@ struct MultiModalPipelineState : State { int current_length); const MultiModalVisionModel& model_; + int64_t num_image_tokens_{0}; const CapturedGraphInfoPtr captured_graph_info_; std::unique_ptr embedding_state_; std::unique_ptr vision_state_; diff --git a/src/models/onnxruntime_api.h b/src/models/onnxruntime_api.h index ddc617f79..66919d4fb 100644 --- a/src/models/onnxruntime_api.h +++ b/src/models/onnxruntime_api.h @@ -75,10 +75,11 @@ p_session_->Run(nullptr, input_names, inputs, std::size(inputs), output_names, o #include "../logging.h" #include "env_utils.h" -#if defined(__ANDROID__) -#include +#if defined(__linux__) #include +#if defined(__ANDROID__) +#include #define TAG "GenAI" #define LOG_DEBUG(...) __android_log_print(ANDROID_LOG_DEBUG, TAG, __VA_ARGS__) @@ -86,9 +87,15 @@ p_session_->Run(nullptr, input_names, inputs, std::size(inputs), output_names, o #define LOG_WARN(...) __android_log_print(ANDROID_LOG_WARN, TAG, __VA_ARGS__) #define LOG_ERROR(...) __android_log_print(ANDROID_LOG_ERROR, TAG, __VA_ARGS__) #define LOG_FATAL(...) __android_log_print(ANDROID_LOG_FATAL, TAG, __VA_ARGS__) +#endif -#elif defined(__linux__) +#elif defined(__APPLE__) +#include "TargetConditionals.h" +#if TARGET_OS_OSX && _ORT_GENAI_USE_DLOPEN +#define MACOS_USE_DLOPEN #include +#endif +#endif #ifndef PATH_MAX #define PATH_MAX (4096) @@ -103,8 +110,6 @@ p_session_->Run(nullptr, input_names, inputs, std::size(inputs), output_names, o #define LOG_ERROR(...) LOG_WHEN_ENABLED(Generators::Log("error", __VA_ARGS__)) #define LOG_FATAL(...) LOG_WHEN_ENABLED(Generators::Log("fatal", __VA_ARGS__)) -#endif - /** \brief Free functions and a few helpers are defined inside this namespace. Otherwise all types are the C API types * */ @@ -115,7 +120,7 @@ using OrtApiBaseFn = const OrtApiBase* (*)(void); /// Before using this C++ wrapper API, you MUST call Ort::InitApi to set the below 'api' variable inline const OrtApi* api{}; -#if defined(__linux__) +#if defined(__linux__) || defined(MACOS_USE_DLOPEN) inline std::string GetCurrentModuleDir() { Dl_info dl_info; dladdr((void*)GetCurrentModuleDir, &dl_info); @@ -135,14 +140,16 @@ inline void* LoadDynamicLibraryIfExists(const std::string& path) { if (ort_lib_handle == nullptr) { char* err = dlerror(); LOG_WARN("Error while dlopen: %s", (err != nullptr ? err : "Unknown")); - // Trying current dir - std::string current_module_dir = GetCurrentModuleDir(); - std::string local_path{current_module_dir + "/" + path}; - LOG_INFO("Attempting to dlopen %s", local_path.c_str()); - ort_lib_handle = dlopen(local_path.c_str(), RTLD_NOW | RTLD_LOCAL); + if (path.front() != '/') { + // If not absolute path, try search for current dir + std::string current_module_dir = GetCurrentModuleDir(); + std::string local_path{current_module_dir + "/" + path}; + LOG_INFO("Attempting to dlopen %s", local_path.c_str()); + ort_lib_handle = dlopen(local_path.c_str(), RTLD_NOW | RTLD_LOCAL); + } } if (ort_lib_handle) { -#if !defined(__ANDROID__) // RTLD_DI_ORIGIN not available on Android +#if !defined(__ANDROID__) && !defined(__APPLE__) // RTLD_DI_ORIGIN not available on Android & Darwin char pathname[PATH_MAX]; dlinfo((void*)ort_lib_handle, RTLD_DI_ORIGIN, &pathname); LOG_INFO("Loaded native library at %s", pathname); @@ -196,7 +203,7 @@ inline void InitApi() { Generators::SetLogBool("ort_lib", true); } -#if defined(__linux__) +#if defined(__linux__) || defined(MACOS_USE_DLOPEN) // If the GenAI library links against the onnxruntime library, it will have a dependency on a specific // version of OrtGetApiBase. // @@ -218,15 +225,31 @@ inline void InitApi() { // any libonnxruntime.so that supports one of those versions. // - const std::string path = "libonnxruntime.so"; // "libonnxruntime4j_jni.so" is also an option if we have issues - void* ort_lib_handle = LoadDynamicLibraryIfExists(path); + void* ort_lib_handle = nullptr; + const char* ort_lib_path = std::getenv("ORT_LIB_PATH"); + if (ort_lib_path) { + ort_lib_handle = LoadDynamicLibraryIfExists(ort_lib_path); + } -#if !defined(__ANDROID__) +#if defined(__linux__) if (ort_lib_handle == nullptr) { + // For Android and NuGet Linux package, the file name is libonnxruntime.so + // "libonnxruntime4j_jni.so" is also an option on Android if we have issues + ort_lib_handle = LoadDynamicLibraryIfExists("libonnxruntime.so"); + } + + if (ort_lib_handle == nullptr) { + // On Linux it can also be `libonnxruntime.so.1`. See: https://github.com/microsoft/onnxruntime/pull/21339 ort_lib_handle = LoadDynamicLibraryIfExists("libonnxruntime.so.1"); } #endif +#if defined(MACOS_USE_DLOPEN) + if (ort_lib_handle == nullptr) { + ort_lib_handle = LoadDynamicLibraryIfExists("libonnxruntime.dylib"); + } +#endif + if (ort_lib_handle == nullptr) { throw std::runtime_error(std::string("Failed to load onnxruntime. Set ORTGENAI_LOG_ORT_LIB envvar to enable detailed logging.")); } @@ -238,11 +261,11 @@ inline void InitApi() { } InitApiWithDynamicFn(ort_api_base_fn); -#else // defined(__linux__) +#else // defined(__linux__) || defined(MACOS_USE_DLOPEN) api = OrtGetApiBase()->GetApi(ORT_API_VERSION); if (!api) throw std::runtime_error("Onnxruntime is installed but is too old, please install a newer version"); -#endif // defined(__linux__) +#endif // defined(__linux__) || defined(MACOS_USE_DLOPEN) } /** \brief All C++ methods that can fail will throw an exception of this type @@ -493,6 +516,8 @@ struct OrtRunOptions { */ OrtRunOptions& UnsetTerminate(); + OrtRunOptions& AddActiveLoraAdapter(const OrtLoraAdapter& adapter); ///< Wraps OrtApi::RunOptionsSetActiveLoraAdapter + static void operator delete(void* p) { Ort::api->ReleaseRunOptions(reinterpret_cast(p)); } Ort::Abstract make_abstract; }; @@ -1284,4 +1309,14 @@ struct OrtOp { size_t output_count); }; +/** \brief LoraAdapter + * + */ +struct OrtLoraAdapter { + static std::unique_ptr Create(const ORTCHAR_T* adapter_file_path, OrtAllocator& allocator); ///< Wraps OrtApi::CreateOrtLoraAdapter + + static void operator delete(void* p) { Ort::api->ReleaseLoraAdapter(reinterpret_cast(p)); } + Ort::Abstract make_abstract; +}; + #include "onnxruntime_inline.h" diff --git a/src/models/onnxruntime_inline.h b/src/models/onnxruntime_inline.h index bb0ef70b2..e33684b06 100644 --- a/src/models/onnxruntime_inline.h +++ b/src/models/onnxruntime_inline.h @@ -432,6 +432,11 @@ inline OrtRunOptions& OrtRunOptions::UnsetTerminate() { return *this; } +inline OrtRunOptions& OrtRunOptions::AddActiveLoraAdapter(const OrtLoraAdapter& adapter) { + Ort::ThrowOnError(Ort::api->RunOptionsAddActiveLoraAdapter(this, &adapter)); + return *this; +} + inline std::unique_ptr OrtCUDAProviderOptionsV2::Create() { OrtCUDAProviderOptionsV2* p; Ort::ThrowOnError(Ort::api->CreateCUDAProviderOptions(&p)); @@ -1336,3 +1341,9 @@ inline void OrtOp::Invoke(const OrtKernelContext* context, Ort::ThrowOnError(Ort::api->InvokeOp(context, this, input_values, static_cast(input_count), output_values, static_cast(output_count))); } + +inline std::unique_ptr OrtLoraAdapter::Create(const ORTCHAR_T* adapter_file_path, OrtAllocator& allocator) { + OrtLoraAdapter* p; + Ort::ThrowOnError(Ort::api->CreateLoraAdapter(adapter_file_path, &allocator, &p)); + return std::unique_ptr{p}; +} diff --git a/src/models/position_inputs.cpp b/src/models/position_inputs.cpp index 91671aedc..a14e36225 100644 --- a/src/models/position_inputs.cpp +++ b/src/models/position_inputs.cpp @@ -172,13 +172,6 @@ void PositionInputs::UpdatePositionIDs(int current_length) { model_.GetDmlExecutionContext()->ExecuteCommandList(dml_update_position_ids_kernel_->GetCommandList(), &fence, &completion_value); } break; #endif - case DeviceType::CPU: { - if (type_ == Ort::TypeToTensorType) - UpdatePositionIDsImpl(); - else - UpdatePositionIDsImpl(); - break; - } #if USE_CUDA case DeviceType::CUDA: if (type_ == Ort::TypeToTensorType) @@ -187,6 +180,14 @@ void PositionInputs::UpdatePositionIDs(int current_length) { cuda::Launch_UpdatePositionIds(position_ids_->GetTensorMutableData(), static_cast(position_ids_shape_[0]), model_.cuda_stream_); break; #endif + case DeviceType::CPU: + case DeviceType::WEBGPU: { + if (type_ == Ort::TypeToTensorType) + UpdatePositionIDsImpl(); + else + UpdatePositionIDsImpl(); + break; + } default: throw std::runtime_error("PositionIDs::Update - Unsupported device type"); } @@ -269,17 +270,6 @@ void PositionInputs::UpdateAttentionMask(int current_length) { break; } #endif - case DeviceType::CPU: { - if (type_ == Ort::TypeToTensorType) - UpdateAttentionMaskImpl(attention_mask_next_->GetTensorMutableData(), - attention_mask_->GetTensorData(), - current_length); - else - UpdateAttentionMaskImpl(attention_mask_next_->GetTensorMutableData(), - attention_mask_->GetTensorData(), - current_length); - break; - } #if USE_CUDA case DeviceType::CUDA: { int max_seq_len = sb_attention_mask_ ? state_.params_->search.max_length : current_length; @@ -304,6 +294,18 @@ void PositionInputs::UpdateAttentionMask(int current_length) { break; } #endif + case DeviceType::WEBGPU: + case DeviceType::CPU: { + if (type_ == Ort::TypeToTensorType) + UpdateAttentionMaskImpl(attention_mask_next_->GetTensorMutableData(), + attention_mask_->GetTensorData(), + current_length); + else + UpdateAttentionMaskImpl(attention_mask_next_->GetTensorMutableData(), + attention_mask_->GetTensorData(), + current_length); + break; + } default: throw std::runtime_error("PositionIDs::Update - Unsupported device type"); } @@ -334,7 +336,7 @@ void PositionInputs::InitializeTensors(std::array shape, cpu_spanpad_token_id) { + if (*word_id == model_.config_->model.pad_token_id) { *mask = 0; *position = 0; } else { diff --git a/src/models/prompt_image_processor.cpp b/src/models/prompt_image_processor.cpp index 8b791af1e..249711a0b 100644 --- a/src/models/prompt_image_processor.cpp +++ b/src/models/prompt_image_processor.cpp @@ -15,7 +15,7 @@ std::unique_ptr ProcessImagePrompt(const Generators::Tokenizer& tokeni const size_t num_images = num_img_tokens ? num_img_tokens->NumberOfElement() : 0U; auto* num_img_tokens_data = num_img_tokens ? num_img_tokens->Data() : nullptr; - // Split the prompt string based on the occurrences of the pattern "<|image_|>" + // Split the prompt string based on the occurrences of the pattern "<|image_|>" // Here the represents the image id. const std::regex pattern("<\\|image_\\d+\\|>"); const std::vector prompt_chunks( @@ -127,7 +127,7 @@ ImageProcessor::ImageProcessor(Config& config, const SessionInfo& session_info) } std::unique_ptr ImageProcessor::Process(const Tokenizer& tokenizer, const std::string& prompt, - const Images* images) { + const Images* images) const { Ort::Allocator& allocator{Ort::Allocator::GetWithDefaultOptions()}; auto named_tensors = std::make_unique(); diff --git a/src/models/prompt_image_processor.h b/src/models/prompt_image_processor.h index 5ccdf13f3..16eeb0d06 100644 --- a/src/models/prompt_image_processor.h +++ b/src/models/prompt_image_processor.h @@ -1,7 +1,6 @@ // Copyright (c) Microsoft Corporation. All rights reserved. // Licensed under the MIT License. -#include "ortx_processor.h" #include "image_processor.h" #include "utils.h" @@ -21,9 +20,7 @@ std::unique_ptr LoadImages(const std::span& image_pat struct ImageProcessor { ImageProcessor(Config& config, const SessionInfo& session_info); - // Returned NamedTensors own the OrtValue and are not owned by the caller. - // OrtValue memory will be released when the NamedTensors are destroyed. - std::unique_ptr Process(const Tokenizer& tokenizer, const std::string& prompt, const Images* images); + std::unique_ptr Process(const Tokenizer& tokenizer, const std::string& prompt, const Images* images) const; private: OrtxPtr processor_; diff --git a/src/models/whisper.cpp b/src/models/whisper.cpp index b42c458d8..29dfbd712 100644 --- a/src/models/whisper.cpp +++ b/src/models/whisper.cpp @@ -2,16 +2,18 @@ // Licensed under the MIT License. #include "../generators.h" #include "whisper.h" +#include +#include "kernels.h" namespace Generators { Whisper_Model::Whisper_Model(std::unique_ptr config, OrtEnv& ort_env) : Model{std::move(config)} { - session_decoder_ = OrtSession::Create(ort_env, (config_->config_path / fs::path(config_->model.decoder.filename)).c_str(), session_options_.get()); session_encoder_ = OrtSession::Create(ort_env, (config_->config_path / fs::path(config_->model.encoder_decoder_init.filename)).c_str(), session_options_.get()); + session_decoder_ = OrtSession::Create(ort_env, (config_->config_path / fs::path(config_->model.decoder.filename)).c_str(), session_options_.get()); InitDeviceAllocator(*session_decoder_); - session_encoder_info_ = std::make_unique(*session_encoder_); + session_info_->Add(*session_encoder_); } std::unique_ptr Whisper_Model::CreateState(RoamingArray sequence_lengths, const GeneratorParams& params) const { @@ -23,10 +25,46 @@ Whisper_State::Whisper_State(const Whisper_Model& model, RoamingArray s model_{model} { auto& inputs = const_cast(std::get(params.inputs)); - encoder_input_ids_ = model_.ExpandInputs(inputs.input_features->ort_tensor_, params_->search.num_beams); + for (const auto& [name, value] : params.extra_inputs) { + if (name == "encoder_input_ids") { + encoder_input_ids_ = model_.ExpandInputs(value->ort_tensor_, params_->search.num_beams); + } + } + if (encoder_input_ids_ == nullptr) { + encoder_input_ids_ = model_.ExpandInputs(inputs.input_features->ort_tensor_, params_->search.num_beams); + } + + if (encoder_input_ids_ == nullptr) { + throw std::runtime_error("encoder_input_ids must be provided in the extra inputs"); + } + + if (inputs.alignment_heads != nullptr) { +#if USE_CUDA + auto alignment_heads_type_and_shape_info = inputs.alignment_heads->ort_tensor_->GetTensorTypeAndShapeInfo(); + auto alignment_heads_type = alignment_heads_type_and_shape_info->GetElementType(); // ONNX_TENSOR_ELEMENT_DATA_TYPE_INT32 + auto alignment_heads_shape = alignment_heads_type_and_shape_info->GetShape(); + alignment_heads_ = OrtValue::CreateTensor(*model_.allocator_device_, alignment_heads_shape, alignment_heads_type); + + // Since alignment_heads is a user input, we need to copy from CPU to GPU + auto alignment_heads_elements = alignment_heads_type_and_shape_info->GetElementCount(); + auto alignment_heads_element_size = SizeOf(alignment_heads_type); + auto alignment_heads_data_size = alignment_heads_elements * alignment_heads_element_size; + cudaMemcpyAsync(alignment_heads_->GetTensorMutableRawData(), inputs.alignment_heads->ort_tensor_->GetTensorRawData(), alignment_heads_data_size, cudaMemcpyHostToDevice, model_.cuda_stream_); + + auto cross_qk_type = model_.session_info_->GetOutputDataType("output_cross_qk_0"); + auto cross_qk_shape = std::array{params_->BatchBeamSize(), alignment_heads_->GetTensorTypeAndShapeInfo()->GetShape()[0], params_->search.max_length, 1500}; + cross_qk_search_buffer_ = OrtValue::CreateTensor(*model_.allocator_device_, cross_qk_shape, cross_qk_type); - auto hidden_states_type = model_.session_encoder_info_->GetOutputDataType("encoder_hidden_states"); - auto encoder_hidden_states_shape = std::array{decoder_input_ids_.GetShape()[0], 1500, static_cast(model_.config_->model.decoder.num_key_value_heads) * model_.config_->model.decoder.head_size}; + // Allocate GPU buffer for storing output_cross_qk_{i} pointers + cross_qk_ptrs_buffer_ = CudaMallocArray(model_.config_->model.decoder.num_hidden_layers); + output_cross_qk_ptrs_gpu_ = gpu_span(cross_qk_ptrs_buffer_.get(), model_.config_->model.decoder.num_hidden_layers); +#else + alignment_heads_ = std::move(inputs.alignment_heads->ort_tensor_); +#endif + } + + auto hidden_states_type = model_.session_info_->GetOutputDataType("encoder_hidden_states"); + auto encoder_hidden_states_shape = std::array{decoder_input_ids_.GetShape()[0], 1500, static_cast(model_.config_->model.decoder.num_attention_heads) * model_.config_->model.decoder.head_size}; encoder_hidden_states_ = OrtValue::CreateTensor(*model_.allocator_device_, encoder_hidden_states_shape, hidden_states_type); auto sequence_lengths = sequence_lengths_unk.GetCPU(); @@ -42,22 +80,170 @@ Whisper_State::Whisper_State(const Whisper_Model& model, RoamingArray s logits_.Add(); output_names_.push_back("encoder_hidden_states"); outputs_.push_back(encoder_hidden_states_.get()); + + const auto kv_cache_indices = outputs_.size(); kv_cache_.AddEncoder(); - extra_inputs_.Add(); cross_cache_.AddOutputs(); + + { + auto layer_count = model_.config_->model.decoder.num_hidden_layers; + std::array shape{params_->BatchBeamSize(), model_.config_->model.decoder.num_attention_heads, params_->sequence_length, model_.config_->model.decoder.head_size}; + auto type = model_.session_info_->GetOutputDataType(output_names_[kv_cache_indices]); + + for (int i = 0; i < layer_count * 2; i++) { + init_presents_.emplace_back(OrtValue::CreateTensor(*model_.allocator_device_, shape, type)); + presents_.emplace_back(outputs_[kv_cache_indices + i]); + outputs_[kv_cache_indices + i] = init_presents_.back().get(); + } + } } +#if USE_CUDA +template +void TransposeKCacheForDMMHA(T* dest_data, + T* temp_buffer, + std::vector& dest_dims, + size_t dest_data_size, + size_t dest_element_size, + cudaStream_t stream) { + // Treat the 'K' caches as if they are of shape [B, N, max_length, head_size / x, x] + // and transpose each 'K' cache into [B, N, head_size / x, max_length, x], where x = 16 / sizeof(T) + int chunk_size = static_cast(16 / dest_element_size); + if (chunk_size != 4 && chunk_size != 8) { + throw std::runtime_error("ReorderPastStatesKernelLauncher only supports float32 or float16 precision"); + } + + // Copy the original 'K' caches to a temporary buffer in order to + // use the destination buffer to store the transposed 'K' caches + cudaMemcpyAsync(temp_buffer, dest_data, dest_data_size, cudaMemcpyDeviceToDevice, stream); + + // Transpose each 'K' cache + cuda::ReorderPastStatesKernelLauncher(dest_data, + temp_buffer, + static_cast(dest_dims[0]), + static_cast(dest_dims[1]), + static_cast(dest_dims[2]), + static_cast(dest_dims[3]), + chunk_size, + stream); +} +#endif + RoamingArray Whisper_State::Run(int current_length, RoamingArray next_tokens, RoamingArray next_indices) { int batch_size = static_cast(decoder_input_ids_.GetShape()[0]); switch (run_state_) { case RunState::Encoder_Decoder_Init: - State::Run(*model_.session_encoder_, *model_.run_options_, batch_size); + State::Run(*model_.session_encoder_, batch_size); run_state_ = RunState::Decoder_First; return logits_.Get(); - case RunState::Decoder_First: + case RunState::Decoder_First: { + auto src_shape_info = init_presents_[0]->GetTensorTypeAndShapeInfo(); + + const auto copy_data_size_all = src_shape_info->GetElementCount() * SizeOf(src_shape_info->GetElementType()); + +#if USE_CUDA + const auto src_dims = src_shape_info->GetShape(); + const auto src_element_type = src_shape_info->GetElementType(); + const auto src_element_size = SizeOf(src_element_type); + + auto dest_shape_info = presents_[0]->GetTensorTypeAndShapeInfo(); + auto dest_dims = dest_shape_info->GetShape(); + auto dest_element_type = dest_shape_info->GetElementType(); + auto dest_element_size = SizeOf(dest_element_type); + auto dest_data_size = dest_shape_info->GetElementCount() * dest_element_size; + + const auto copy_data_size = src_dims[2] * src_dims[3] * src_element_size; + + // Allocate temporary buffer for when CUDA EP + FP16 precision is used because + // we need to reformat the `K` caches for `DecoderMaskedMultiHeadAttention` + // and we need some extra memory to do so. + // + // Since the self attention K caches are of size (batch_size, num_heads, past_sequence_length, head_size) with type 'float16', + // the cross attention K caches are of size (batch_size, num_heads, 1500, head_size) with type 'float32', and + // past_sequence_length <= 448 < 1500, we will allocate a temporary buffer that is the + // size of a cross attention K cache. This lets us use the same temporary buffer for both + // the self attention and cross attention K caches. + + std::unique_ptr temp_buffer; + auto self_attn_kv_cache_element_type = src_element_type; // should be `float16` for the below case + if (self_attn_kv_cache_element_type == ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT16 && model_.device_type_ == DeviceType::CUDA) { + auto cross_attn_shape_info = outputs_[outputs_.size() - 1]->GetTensorTypeAndShapeInfo(); + auto cross_attn_dims = cross_attn_shape_info->GetShape(); + auto cross_attn_kv_cache_element_type = cross_attn_shape_info->GetElementType(); // should be `float32` for this case + + temp_buffer = OrtValue::CreateTensor(*model_.allocator_device_, cross_attn_dims, cross_attn_kv_cache_element_type); + } +#endif + + // Copy over the hacked outputs to the real outputs + for (int i = 0; i < presents_.size(); i++) { + auto src_data = init_presents_[i]->GetTensorRawData(); + auto dest_data = presents_[i]->GetTensorMutableRawData(); + + switch (model_.device_type_) { +#if USE_CUDA + case DeviceType::CUDA: + if (self_attn_kv_cache_element_type == ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT16) { + // CUDA EP + FP16 precision == `DecoderMaskedMultiHeadAttention` op is used + // This also means `past-present buffer sharing = true` + + // Copy data from init_presents_[i] to presents_[i] + // from (batch_size, num_heads, past_sequence_length, head_size) + // to (batch_size, num_heads, max_sequence_length, head_size) + // + // Implemented as: + // real[:batch_size, :num_heads, :past_sequence_length, :head_size] = hacked + for (int b = 0; b < dest_dims[0] * dest_dims[1]; b++) { + auto src_offset = b * src_dims[2] * src_dims[3]; + auto dest_offset = b * dest_dims[2] * dest_dims[3]; + + src_offset *= src_element_size; + dest_offset *= dest_element_size; + cudaMemcpyAsync(reinterpret_cast(dest_data) + dest_offset, reinterpret_cast(src_data) + src_offset, copy_data_size, cudaMemcpyDeviceToDevice, model_.cuda_stream_); + } + + // Transpose self attention K caches for `DecoderMaskedMultiHeadAttention` + if (i % 2 == 0) { + TransposeKCacheForDMMHA(dest_data, temp_buffer->GetTensorMutableRawData(), dest_dims, + dest_data_size, dest_element_size, model_.cuda_stream_); + } + } else { + cudaMemcpyAsync(dest_data, src_data, copy_data_size_all, cudaMemcpyDeviceToDevice, model_.cuda_stream_); + } + break; +#endif + case DeviceType::CPU: { + memcpy(dest_data, src_data, copy_data_size_all); + break; + } + + default: + throw std::runtime_error("Unsupported Device Type in Whisper_State::Run"); + } + } + +#if USE_CUDA + if (self_attn_kv_cache_element_type == ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT16 && model_.device_type_ == DeviceType::CUDA) { + // Transpose cross attention K caches for `DecoderMaskedMultiHeadAttention` + + // Add +2 to start of loop to account for `logits` and `encoder_hidden_states` outputs + for (size_t i = 2 + init_presents_.size(); i < outputs_.size(); i += 2) { + auto dest_data = outputs_[i]->GetTensorMutableRawData(); + dest_shape_info = outputs_[i]->GetTensorTypeAndShapeInfo(); + dest_dims = dest_shape_info->GetShape(); + dest_element_type = dest_shape_info->GetElementType(); + dest_element_size = SizeOf(dest_element_type); + dest_data_size = dest_shape_info->GetElementCount() * dest_element_size; + + TransposeKCacheForDMMHA(dest_data, temp_buffer->GetTensorMutableRawData(), dest_dims, + dest_data_size, dest_element_size, model_.cuda_stream_); + } + } +#endif + ClearIO(); decoder_input_ids_.name_ = model_.config_->model.decoder.inputs.input_ids.c_str(); // Set back to default name, since we overrode it above in the encoder step @@ -66,21 +252,176 @@ RoamingArray Whisper_State::Run(int current_length, RoamingArray kv_cache_.Add(); cross_cache_.AddInputs(); run_state_ = RunState::Decoder; - // Fall through - case RunState::Decoder: - UpdateInputsOutputs(next_tokens, next_indices, current_length); + if (model_.session_info_->HasInput("past_sequence_length")) { + past_sequence_length_ = OrtValue::CreateTensor(model_.allocator_cpu_, std::array{1}); + input_names_.push_back("past_sequence_length"); + inputs_.push_back(past_sequence_length_.get()); + } + + if (model_.session_info_->HasInput("beam_width")) { + beam_width_ = OrtValue::CreateTensor(model_.allocator_cpu_, std::array{1}); + input_names_.push_back("beam_width"); + inputs_.push_back(beam_width_.get()); + + auto data = beam_width_->GetTensorMutableData(); + *data = params_->search.num_beams; + } + + if (model_.session_info_->HasInput("cache_indirection")) { +#if USE_CUDA + cache_indirection_ = OrtValue::CreateTensor(*model_.allocator_device_, std::array{params_->batch_size, params_->search.num_beams, params_->search.max_length}); + cache_indirection_index_ = inputs_.size(); + input_names_.push_back("cache_indirection"); + inputs_.push_back(cache_indirection_.get()); + + auto data = gpu_span{cache_indirection_->GetTensorMutableData(), + static_cast(params_->batch_size) * params_->search.num_beams * params_->search.max_length}; + CudaCheck() == cudaMemsetAsync(data.data(), 0, data.size_bytes(), params_->cuda_stream); +#endif + } + + if (model_.session_info_->HasOutput("output_cross_qk_0")) { + auto layer_count = model_.config_->model.decoder.num_hidden_layers; + auto type = model_.session_info_->GetOutputDataType("output_cross_qk_0"); + std::array shape{params_->BatchBeamSize(), model_.config_->model.decoder.num_attention_heads, 1, 1500}; + for (int i = 0; i < layer_count; i++) { + char string[64]; + snprintf(string, std::size(string), "output_cross_qk_%d", i); + output_cross_qk_names_.emplace_back(string); + output_cross_qk_.emplace_back(OrtValue::CreateTensor(*model_.allocator_device_, shape, type)); + + output_names_.emplace_back(output_cross_qk_names_.back().c_str()); + outputs_.emplace_back(output_cross_qk_.back().get()); + } + } + + UpdateInputsOutputs(next_tokens, next_indices, current_length, false /* search_buffers */); + break; + } + + case RunState::Decoder: { + bool search_buffers = true; + UpdateInputsOutputs(next_tokens, next_indices, current_length, search_buffers); + break; + } } - State::Run(*model_.session_decoder_, *model_.run_options_, batch_size); + State::Run(*model_.session_decoder_, batch_size); return logits_.Get(); } -void Whisper_State::UpdateInputsOutputs(const RoamingArray& next_tokens, RoamingArray beam_indices, int current_length) { +void Whisper_State::UpdateInputsOutputs(const RoamingArray& next_tokens, RoamingArray beam_indices, int current_length, bool search_buffers) { decoder_input_ids_.Update(next_tokens); kv_cache_.Update(beam_indices.GetCPU(), current_length); logits_.Update(); + + if (past_sequence_length_) { + auto data = past_sequence_length_->GetTensorMutableData(); + *data = current_length - 1; + } + + if (!search_buffers) { + // No need to update cache indirection and cross QK search buffers + // when preparing to run decoder for the first time. + if (cache_indirection_) + inputs_[cache_indirection_index_] = cache_indirection_.get(); + return; + } + + if (cache_indirection_) { +#if USE_CUDA + gpu_span beam_indices_gpu = beam_indices.GetGPU(); + cuda_unique_ptr beam_indices_ptr; + if (beam_indices_gpu.empty()) { + beam_indices_ptr = CudaMallocArray(params_->batch_size, &beam_indices_gpu); + std::vector beam_indices_cpu(params_->batch_size, 0); + std::iota(beam_indices_cpu.begin(), beam_indices_cpu.end(), 0); + CudaCheck() == cudaMemcpyAsync(beam_indices_gpu.data(), beam_indices_cpu.data(), + beam_indices_cpu.size() * sizeof(int32_t), + cudaMemcpyHostToDevice, model_.cuda_stream_); + } + std::unique_ptr new_cache_indirection; + auto cache_indirection_type = model_.session_info_->GetInputDataType("cache_indirection"); + auto cache_indirection_shape = std::array{params_->batch_size, params_->search.num_beams, params_->search.max_length}; + new_cache_indirection = OrtValue::CreateTensor(*model_.allocator_device_, cache_indirection_shape, cache_indirection_type); + + cuda::UpdateCacheIndirectionKernelLauncher(new_cache_indirection->GetTensorMutableData(), + cache_indirection_->GetTensorData(), + beam_indices_gpu.data(), + params_->batch_size, + params_->search.num_beams, + params_->sequence_length, + params_->search.max_length, + current_length, + model_.cuda_stream_); + + cache_indirection_ = std::move(new_cache_indirection); + inputs_[cache_indirection_index_] = cache_indirection_.get(); +#endif + } + + if (output_cross_qk_.size() && alignment_heads_) { +#if USE_CUDA + // Collect a GPU array of float* pointers from the vector of OrtValues to pass to the kernel + std::vector output_cross_qk_ptrs{output_cross_qk_.size(), nullptr}; + for (int i = 0; i < output_cross_qk_.size(); i++) { + output_cross_qk_ptrs[i] = output_cross_qk_[i]->GetTensorMutableData(); + } + cudaMemcpyAsync(output_cross_qk_ptrs_gpu_.data(), output_cross_qk_ptrs.data(), output_cross_qk_.size() * sizeof(output_cross_qk_ptrs[0]), cudaMemcpyHostToDevice, model_.cuda_stream_); + + auto output_cross_qk_dims = output_cross_qk_[0]->GetTensorTypeAndShapeInfo()->GetShape(); + cuda::LaunchCopyCrossQKSingleDecodeStep(model_.cuda_stream_, + cross_qk_search_buffer_->GetTensorMutableData(), + output_cross_qk_ptrs_gpu_.data(), + current_length - params_->sequence_length, + params_->BatchBeamSize(), + model_.config_->model.decoder.num_hidden_layers, + static_cast(output_cross_qk_dims[1]), + static_cast(alignment_heads_->GetTensorTypeAndShapeInfo()->GetShape()[0]), + alignment_heads_->GetTensorData(), + static_cast(output_cross_qk_dims[3]), + params_->search.max_length); +#endif + } +} + +void Whisper_State::Finalize() { + if (output_cross_qk_.size() && alignment_heads_) { +#if USE_CUDA + int decoded_length = *(past_sequence_length_->GetTensorMutableData()) + 1; + auto output_cross_qk_dims = output_cross_qk_[0]->GetTensorTypeAndShapeInfo()->GetShape(); + + // Instantiate final output for cross QKs + auto num_alignment_heads = alignment_heads_->GetTensorTypeAndShapeInfo()->GetShape()[0]; + auto cross_qk_type = model_.session_info_->GetOutputDataType("output_cross_qk_0"); + auto cross_qk_shape = std::array{params_->batch_size, params_->search.num_return_sequences, num_alignment_heads, decoded_length, 1500}; + cross_qk_final_ = OrtValue::CreateTensor(*model_.allocator_device_, cross_qk_shape, cross_qk_type); + + cuda::LaunchFinalizeCrossQK(model_.cuda_stream_, + decoded_length - params_->sequence_length, + decoded_length, + static_cast(output_cross_qk_dims[0]), + params_->search.num_beams, + params_->search.max_length, + static_cast(alignment_heads_->GetTensorTypeAndShapeInfo()->GetShape()[0]), + static_cast(output_cross_qk_dims[3]), + cross_qk_search_buffer_->GetTensorData(), + cross_qk_final_->GetTensorMutableData(), + params_->search.num_return_sequences, + cache_indirection_->GetTensorData()); +#endif + } } +OrtValue* Whisper_State::GetOutput(const char* name) { + // cross_qk_final_ is an onnxruntime-genai maintained buffer that + // is not part of the model's outputs, so we need to check for it here. + if (std::strcmp("cross_qk", name) == 0) { + return cross_qk_final_.get(); + } + return State::GetOutput(name); +}; + } // namespace Generators diff --git a/src/models/whisper.h b/src/models/whisper.h index 5f3872e4c..5af9c7e16 100644 --- a/src/models/whisper.h +++ b/src/models/whisper.h @@ -13,18 +13,18 @@ struct Whisper_Model : Model { std::unique_ptr CreateState(RoamingArray sequence_lengths, const GeneratorParams& params) const override; - std::unique_ptr session_decoder_; // decoder.onnx std::unique_ptr session_encoder_; // encoder_decoder_init.onnx - - std::unique_ptr session_encoder_info_; + std::unique_ptr session_decoder_; // decoder.onnx }; struct Whisper_State : State { Whisper_State(const Whisper_Model& model, RoamingArray sequence_lengths, const GeneratorParams& params); RoamingArray Run(int current_length, RoamingArray next_tokens, RoamingArray next_indices) override; + OrtValue* GetOutput(const char* name) override; private: - void UpdateInputsOutputs(const RoamingArray& next_tokens, RoamingArray next_indices, int current_length); + void UpdateInputsOutputs(const RoamingArray& next_tokens, RoamingArray next_indices, int current_length, bool search_buffers); + void Finalize() override; const Whisper_Model& model_; enum struct RunState { @@ -33,12 +33,33 @@ struct Whisper_State : State { Decoder, } run_state_{RunState::Encoder_Decoder_Init}; - InputIDs decoder_input_ids_{model_, *this}; - Logits logits_{model_, *this}; - KV_Cache kv_cache_{model_, *this}; - Cross_Cache cross_cache_{model_, *this}; - ExtraInputs extra_inputs_{model_, *this}; + InputIDs decoder_input_ids_{*this}; + Logits logits_{*this}; + KV_Cache kv_cache_{*this}; + Cross_Cache cross_cache_{*this}; std::unique_ptr encoder_input_ids_; std::unique_ptr encoder_hidden_states_; + + std::unique_ptr past_sequence_length_; + std::unique_ptr beam_width_; + std::unique_ptr cache_indirection_; + + // Temporary hack to have different sized outputs from the encoder that we then expand into the decoder buffers + std::vector> init_presents_; // Hacked sized encoder_decoder_init presents + std::vector presents_; // The original present buffers we must resize init_presents_ into after the first run + + std::vector output_cross_qk_names_; + std::vector> output_cross_qk_; // { batch_size, num_heads, 1, 1500 } + +#if USE_CUDA + // Buffers for calculating word-level timestamps + cuda_unique_ptr cross_qk_ptrs_buffer_; // To create and hold a reference to the GPU memory so it isn't freed + gpu_span output_cross_qk_ptrs_gpu_; // To use for copying the CPU vector of float* pointers into +#endif + std::unique_ptr alignment_heads_; // { num_alignment_heads, 2 } + std::unique_ptr cross_qk_search_buffer_; // { batch_beam_size, num_alignment_heads, max_length, 1500 } + std::unique_ptr cross_qk_final_; // { batch_size, num_return_sequences, num_alignment_heads, decoded_length, 1500 } + + size_t cache_indirection_index_{~0U}; }; } // namespace Generators diff --git a/src/ort_genai.h b/src/ort_genai.h index 0295e762f..424e7aad7 100644 --- a/src/ort_genai.h +++ b/src/ort_genai.h @@ -59,12 +59,34 @@ inline void OgaCheckResult(OgaResult* result) { } } +struct OgaRuntimeSettings : OgaAbstract { + static std::unique_ptr Create() { + OgaRuntimeSettings* p; + OgaCheckResult(OgaCreateRuntimeSettings(&p)); + return std::unique_ptr(p); + } + + void SetHandle(const char* name, void* handle) { + OgaCheckResult(OgaRuntimeSettingsSetHandle(this, name, handle)); + } + void SetHandle(const std::string& name, void* handle) { + SetHandle(name.c_str(), handle); + } + + static void operator delete(void* p) { OgaDestroyRuntimeSettings(reinterpret_cast(p)); } +}; + struct OgaModel : OgaAbstract { static std::unique_ptr Create(const char* config_path) { OgaModel* p; OgaCheckResult(OgaCreateModel(config_path, &p)); return std::unique_ptr(p); } + static std::unique_ptr Create(const char* config_path, const OgaRuntimeSettings& settings) { + OgaModel* p; + OgaCheckResult(OgaCreateModelWithRuntimeSettings(config_path, &settings, &p)); + return std::unique_ptr(p); + } std::unique_ptr Generate(const OgaGeneratorParams& params) const { OgaSequences* p; @@ -106,6 +128,11 @@ struct OgaSequences : OgaAbstract { void Append(const int32_t* tokens, size_t token_cnt) { OgaCheckResult(OgaAppendTokenSequence(tokens, token_cnt, this)); } + + void Append(int32_t token, size_t sequence_index) { + OgaCheckResult(OgaAppendTokenToSequence(token, this, sequence_index)); + } + #if __cplusplus >= 202002L std::span Get(size_t index) const { return {SequenceData(index), SequenceCount(index)}; @@ -132,6 +159,12 @@ struct OgaTokenizer : OgaAbstract { OgaCheckResult(OgaTokenizerEncode(this, str, &sequences)); } + int32_t ToTokenId(const char* str) const { + int32_t token_id; + OgaCheckResult(OgaTokenizerToTokenId(this, str, &token_id)); + return token_id; + } + OgaString Decode(const int32_t* tokens_data, size_t tokens_length) const { const char* p; OgaCheckResult(OgaTokenizerDecode(this, tokens_data, tokens_length, &p)); @@ -253,6 +286,10 @@ struct OgaGenerator : OgaAbstract { } #endif + void SetActiveAdapter(OgaAdapters& adapters, const char* adapter_name) { + OgaCheckResult(OgaSetActiveAdapter(this, &adapters, adapter_name)); + } + static void operator delete(void* p) { OgaDestroyGenerator(reinterpret_cast(p)); } }; @@ -317,6 +354,30 @@ struct OgaImages : OgaAbstract { static void operator delete(void* p) { OgaDestroyImages(reinterpret_cast(p)); } }; +struct OgaAudios : OgaAbstract { + static std::unique_ptr Load(const std::vector& audio_paths) { + OgaAudios* p; + OgaStringArray* strs; + OgaCheckResult(OgaCreateStringArrayFromStrings(audio_paths.data(), audio_paths.size(), &strs)); + OgaCheckResult(OgaLoadAudios(strs, &p)); + OgaDestroyStringArray(strs); + return std::unique_ptr(p); + } + +#if __cplusplus >= 202002L + static std::unique_ptr Load(std::span audio_paths) { + OgaAudios* p; + OgaStringArray* strs; + OgaCheckResult(OgaCreateStringArrayFromStrings(audio_paths.data(), audio_paths.size(), &strs)); + OgaCheckResult(OgaLoadAudios(strs, &p)); + OgaDestroyStringArray(strs); + return std::unique_ptr(p); + } +#endif + + static void operator delete(void* p) { OgaDestroyAudios(reinterpret_cast(p)); } +}; + struct OgaNamedTensors : OgaAbstract { static void operator delete(void* p) { OgaDestroyNamedTensors(reinterpret_cast(p)); } }; @@ -334,6 +395,12 @@ struct OgaMultiModalProcessor : OgaAbstract { return std::unique_ptr(p); } + std::unique_ptr ProcessAudios(const OgaAudios* audios) const { + OgaNamedTensors* p; + OgaCheckResult(OgaProcessorProcessAudios(this, audios, &p)); + return std::unique_ptr(p); + } + OgaString Decode(const int32_t* tokens_data, size_t tokens_length) const { const char* p; OgaCheckResult(OgaProcessorDecode(this, tokens_data, tokens_length, &p)); @@ -351,6 +418,25 @@ struct OgaMultiModalProcessor : OgaAbstract { static void operator delete(void* p) { OgaDestroyMultiModalProcessor(reinterpret_cast(p)); } }; +struct OgaAdapters : OgaAbstract { + static std::unique_ptr Create(const OgaModel& model) { + OgaAdapters* p; + OgaCheckResult(OgaCreateAdapters(&model, &p)); + return std::unique_ptr(p); + } + + void LoadAdapter(const char* adapter_file_path, + const char* adapter_name) { + OgaCheckResult(OgaLoadAdapter(this, adapter_file_path, adapter_name)); + } + + void UnloadAdapter(const char* adapter_name) { + OgaCheckResult(OgaUnloadAdapter(this, adapter_name)); + } + + static void operator delete(void* p) { OgaDestroyAdapters(reinterpret_cast(p)); } +}; + struct OgaHandle { OgaHandle() = default; ~OgaHandle() noexcept { diff --git a/src/ort_genai_c.cpp b/src/ort_genai_c.cpp index e2429066c..a8f259fde 100644 --- a/src/ort_genai_c.cpp +++ b/src/ort_genai_c.cpp @@ -8,6 +8,7 @@ #include "ort_genai_c.h" #include "generators.h" #include "models/model.h" +#include "runtime_settings.h" #include "search.h" namespace Generators { @@ -70,6 +71,22 @@ OgaResult* OGA_API_CALL OgaAppendTokenSequence(const int32_t* token_ptr, size_t OGA_CATCH } +OgaResult* OGA_API_CALL OgaAppendTokenToSequence(int32_t token, OgaSequences* sequences, size_t sequence_index) { + OGA_TRY + Generators::TokenSequences* toks = reinterpret_cast(sequences); + if (sequence_index > toks->size()) { + throw std::runtime_error("sequence index out of bounds"); + } + if (sequence_index == toks->size()) { + toks->emplace_back(); + } + + toks->at(sequence_index).push_back(token); + + return nullptr; + OGA_CATCH +} + size_t OGA_API_CALL OgaSequencesCount(const OgaSequences* p) { return reinterpret_cast(p)->size(); } @@ -100,15 +117,44 @@ OgaResult* OGA_API_CALL OgaLoadImages(const OgaStringArray* image_paths, OgaImag OGA_CATCH } -OgaResult* OGA_API_CALL OgaCreateModel(const char* config_path, OgaModel** out) { +OgaResult* OGA_API_CALL OgaLoadAudio(const char* audio_path, OgaAudios** audios) { + OGA_TRY + const std::vector audio_paths_vector{audio_path}; + *audios = reinterpret_cast(Generators::LoadAudios(audio_paths_vector).release()); + return nullptr; + OGA_CATCH +} + +OgaResult* OGA_API_CALL OgaLoadAudios(const OgaStringArray* audio_paths, OgaAudios** audios) { + OGA_TRY + const auto& audio_paths_vector = *reinterpret_cast*>(audio_paths); + std::vector audio_paths_vector_c; + for (const auto& audio_path : audio_paths_vector) audio_paths_vector_c.push_back(audio_path.c_str()); + *audios = reinterpret_cast(Generators::LoadAudios(audio_paths_vector_c).release()); + return nullptr; + OGA_CATCH +} + +OgaResult* OGA_API_CALL OgaCreateRuntimeSettings(OgaRuntimeSettings** out) { OGA_TRY - auto model = Generators::CreateModel(Generators::GetOrtEnv(), config_path); + *out = reinterpret_cast(Generators::CreateRuntimeSettings().release()); + return nullptr; + OGA_CATCH +} + +OgaResult* OGA_API_CALL OgaCreateModelWithRuntimeSettings(const char* config_path, const OgaRuntimeSettings* settings, OgaModel** out) { + OGA_TRY + auto model = Generators::CreateModel(Generators::GetOrtEnv(), config_path, reinterpret_cast(settings)); model->external_owner_ = model; *out = reinterpret_cast(model.get()); return nullptr; OGA_CATCH } +OgaResult* OGA_API_CALL OgaCreateModel(const char* config_path, OgaModel** out) { + return OgaCreateModelWithRuntimeSettings(config_path, nullptr, out); +} + OgaResult* OGA_API_CALL OgaCreateGeneratorParams(const OgaModel* model, OgaGeneratorParams** out) { OGA_TRY auto params = std::make_shared(*reinterpret_cast(model)); @@ -118,6 +164,14 @@ OgaResult* OGA_API_CALL OgaCreateGeneratorParams(const OgaModel* model, OgaGener OGA_CATCH } +OgaResult* OGA_API_CALL OgaRuntimeSettingsSetHandle(OgaRuntimeSettings* settings, const char* handle_name, void* handle) { + OGA_TRY + Generators::RuntimeSettings* settings_ = reinterpret_cast(settings); + settings_->handles_[handle_name] = handle; + return nullptr; + OGA_CATCH +} + OgaResult* OGA_API_CALL OgaGeneratorParamsSetSearchNumber(OgaGeneratorParams* generator_params, const char* name, double value) { OGA_TRY Generators::SetSearchNumber(reinterpret_cast(generator_params)->search, name, value); @@ -162,7 +216,7 @@ OgaResult* OGA_API_CALL OgaGeneratorParamsSetInputSequences(OgaGeneratorParams* span_sequences.emplace_back(sequences[i]); } - params.input_ids_owner = Generators::PadInputs(span_sequences, params.pad_token_id); + params.input_ids_owner = Generators::PadInputs(span_sequences, params.config.model.pad_token_id); params.batch_size = static_cast(sequences.size()); params.sequence_length = static_cast(params.input_ids_owner.size() / params.batch_size); params.input_ids = params.input_ids_owner; @@ -277,12 +331,12 @@ OgaResult* OGA_API_CALL OgaGenerator_GetOutput(const OgaGenerator* oga_generator size_t OGA_API_CALL OgaGenerator_GetSequenceCount(const OgaGenerator* oga_generator, size_t index) { auto& generator = *reinterpret_cast(oga_generator); - return generator.GetSequence(static_cast(index)).GetCPU().size(); + return generator.GetSequence(static_cast(index)).CpuSpan().size(); } const int32_t* OGA_API_CALL OgaGenerator_GetSequenceData(const OgaGenerator* oga_generator, size_t index) { auto& generator = *reinterpret_cast(oga_generator); - return generator.GetSequence(static_cast(index)).GetCPU().data(); + return generator.GetSequence(static_cast(index)).CpuSpan().data(); } OgaResult* OGA_API_CALL OgaCreateTokenizer(const OgaModel* model, OgaTokenizer** out) { @@ -303,6 +357,14 @@ OgaResult* OGA_API_CALL OgaTokenizerEncode(const OgaTokenizer* p, const char* st OGA_CATCH } +OgaResult* OGA_API_CALL OgaTokenizerToTokenId(const OgaTokenizer* p, const char* str, int32_t* token_id) { + OGA_TRY + auto& tokenizer = *reinterpret_cast(p); + *token_id = tokenizer.TokenToTokenId(str); + return nullptr; + OGA_CATCH +} + OgaResult* OGA_API_CALL OgaTokenizerDecode(const OgaTokenizer* p, const int32_t* tokens, size_t token_count, const char** out_string) { OGA_TRY auto& tokenizer = *reinterpret_cast(p); @@ -310,12 +372,7 @@ OgaResult* OGA_API_CALL OgaTokenizerDecode(const OgaTokenizer* p, const int32_t* auto string = tokenizer.Decode({tokens, token_count}); auto length = string.length() + 1; auto cstr_buffer = std::make_unique(length); -#if _MSC_VER - strcpy_s(cstr_buffer.get(), length, string.c_str()); -#else - strncpy(cstr_buffer.get(), string.c_str(), length); - cstr_buffer[length] = 0; -#endif + memcpy(cstr_buffer.get(), string.c_str(), length); *out_string = cstr_buffer.release(); return nullptr; OGA_CATCH @@ -328,12 +385,7 @@ OgaResult* OGA_API_CALL OgaProcessorDecode(const OgaMultiModalProcessor* p, cons auto string = processor.tokenizer_->Decode({tokens, token_count}); auto length = string.length() + 1; auto cstr_buffer = std::make_unique(length); -#if _MSC_VER - strcpy_s(cstr_buffer.get(), length, string.c_str()); -#else - strncpy(cstr_buffer.get(), string.c_str(), length); - cstr_buffer[length] = 0; -#endif + memcpy(cstr_buffer.get(), string.c_str(), length); *out_string = cstr_buffer.release(); return nullptr; OGA_CATCH @@ -446,6 +498,21 @@ OgaResult* OGA_API_CALL OgaProcessorProcessImages(const OgaMultiModalProcessor* OGA_CATCH } +OgaResult* OGA_API_CALL OgaProcessorProcessAudios(const OgaMultiModalProcessor* p, const OgaAudios* audios_p, OgaNamedTensors** input_tensors) { + OGA_TRY + auto& processor = *reinterpret_cast(p); + auto* audios = reinterpret_cast(audios_p); + + if (!processor.audio_processor_) + throw std::runtime_error("Audio processor not available for this model."); + + auto named_tensors = processor.audio_processor_->Process(audios); + *input_tensors = reinterpret_cast(named_tensors.release()); + + return nullptr; + OGA_CATCH +} + OgaResult* OGA_API_CALL OgaCreateStringArray(OgaStringArray** out) { OGA_TRY *out = reinterpret_cast(std::make_unique>().release()); @@ -474,6 +541,39 @@ size_t OGA_API_CALL OgaStringArrayGetCount(const OgaStringArray* string_array) { return reinterpret_cast*>(string_array)->size(); } +OgaResult* OgaCreateAdapters(const OgaModel* model, OgaAdapters** out) { + OGA_TRY + auto adapters = std::make_shared(reinterpret_cast(model)); + *out = reinterpret_cast(adapters.get()); + adapters->external_owner_ = adapters; + return nullptr; + OGA_CATCH +} + +OgaResult* OgaLoadAdapter(OgaAdapters* adapters, const char* adapter_file_path, + const char* adapter_name) { + OGA_TRY + reinterpret_cast(adapters)->LoadAdapter(adapter_file_path, adapter_name); + return nullptr; + OGA_CATCH +} + +OgaResult* OgaUnloadAdapter(OgaAdapters* adapters, const char* adapter_name) { + OGA_TRY + reinterpret_cast(adapters)->UnloadAdapter(adapter_name); + return nullptr; + OGA_CATCH +} + +OgaResult* OgaSetActiveAdapter(OgaGenerator* generator, OgaAdapters* adapters, + const char* adapter_name) { + OGA_TRY + reinterpret_cast(generator)->state_->SetActiveAdapter( + reinterpret_cast(adapters), adapter_name); + return nullptr; + OGA_CATCH +} + void OGA_API_CALL OgaDestroyStringArray(OgaStringArray* string_array) { delete reinterpret_cast*>(string_array); } @@ -487,7 +587,7 @@ void OGA_API_CALL OgaDestroyString(const char* p) { } void OGA_API_CALL OgaDestroySequences(OgaSequences* p) { - delete reinterpret_cast(p); + delete reinterpret_cast(p); } void OGA_API_CALL OgaDestroyModel(OgaModel* p) { @@ -522,7 +622,19 @@ void OGA_API_CALL OgaDestroyImages(OgaImages* p) { delete reinterpret_cast(p); } +void OGA_API_CALL OgaDestroyAudios(OgaAudios* p) { + delete reinterpret_cast(p); +} + void OGA_API_CALL OgaDestroyNamedTensors(OgaNamedTensors* p) { delete reinterpret_cast(p); } + +void OGA_API_CALL OgaDestroyAdapters(OgaAdapters* p) { + reinterpret_cast(p)->external_owner_ = nullptr; +} + +void OGA_API_CALL OgaDestroyRuntimeSettings(OgaRuntimeSettings* p) { + delete reinterpret_cast(p); +} } diff --git a/src/ort_genai_c.h b/src/ort_genai_c.h index ffa65b105..b00494d7d 100644 --- a/src/ort_genai_c.h +++ b/src/ort_genai_c.h @@ -50,6 +50,7 @@ typedef enum OgaElementType { typedef struct OgaResult OgaResult; typedef struct OgaGeneratorParams OgaGeneratorParams; typedef struct OgaGenerator OgaGenerator; +typedef struct OgaRuntimeSettings OgaRuntimeSettings; typedef struct OgaModel OgaModel; // OgaSequences is an array of token arrays where the number of token arrays can be obtained using // OgaSequencesCount and the number of tokens in each token array can be obtained using OgaSequencesGetSequenceCount. @@ -60,7 +61,9 @@ typedef struct OgaTensor OgaTensor; typedef struct OgaImages OgaImages; typedef struct OgaNamedTensors OgaNamedTensors; typedef struct OgaMultiModalProcessor OgaMultiModalProcessor; +typedef struct OgaAudios OgaAudios; typedef struct OgaStringArray OgaStringArray; +typedef struct OgaAdapters OgaAdapters; /* \brief Call this on process exit to cleanly shutdown the genai library & its onnxruntime usage */ @@ -109,6 +112,17 @@ OGA_EXPORT size_t OGA_API_CALL OgaSequencesCount(const OgaSequences* sequences); */ OGA_EXPORT OgaResult* OGA_API_CALL OgaAppendTokenSequence(const int32_t* token_ptr, size_t token_cnt, OgaSequences* sequence); +/* + * \brief Appends the given token to the sequence at the given index. + If the sequence at the given index does not exist, a new sequence is + created at the given index if sequence_idx is equal to the current sequences count. + * \param[in] token token to append to the sequence + * \param[in] sequences OgaSequences object to append the token to + * \param[in] sequence_index index of the sequence to append the token to + * \return OgaResult containing the error message when tokens could not been added, else nullptr. + */ +OGA_EXPORT OgaResult* OGA_API_CALL OgaAppendTokenToSequence(int32_t token, OgaSequences* sequence, size_t sequence_index); + /* * \brief Returns the number of tokens in the sequence at the given index * \param[in] sequences @@ -130,6 +144,33 @@ OGA_EXPORT OgaResult* OGA_API_CALL OgaLoadImages(const OgaStringArray* image_pat OGA_EXPORT void OGA_API_CALL OgaDestroyImages(OgaImages* images); +OGA_EXPORT OgaResult* OGA_API_CALL OgaLoadAudio(const char* audio_path, OgaAudios** audios); + +OGA_EXPORT OgaResult* OGA_API_CALL OgaLoadAudios(const OgaStringArray* audio_paths, OgaAudios** audios); + +OGA_EXPORT void OGA_API_CALL OgaDestroyAudios(OgaAudios* audios); + +/* + * \brief Creates a runtime settings instance to be used to create a model. + * \param[out] out The created runtime settings. + * \return OgaResult containing the error message if the creation of the runtime settings failed. + */ +OGA_EXPORT OgaResult* OGA_API_CALL OgaCreateRuntimeSettings(OgaRuntimeSettings** out); +/* + * \brief Destroys the given runtime settings. + * \param[in] settings The runtime settings to be destroyed. + */ +OGA_EXPORT void OGA_API_CALL OgaDestroyRuntimeSettings(OgaRuntimeSettings* settings); + +/* + * \brief Sets a specific runtime handle for the runtime settings. + * \param[in] settings The runtime settings to set the device type. + * \param[in] handle_name The name of the handle to set for the runtime settings. + * \param[in] handle The value of handle to set for the runtime settings. + * \return OgaResult containing the error message if the setting of the device type failed. + */ +OGA_EXPORT OgaResult* OGA_API_CALL OgaRuntimeSettingsSetHandle(OgaRuntimeSettings* settings, const char* handle_name, void* handle); + /* * \brief Creates a model from the given configuration directory and device type. * \param[in] config_path The path to the model configuration directory. The path is expected to be encoded in UTF-8. @@ -139,6 +180,16 @@ OGA_EXPORT void OGA_API_CALL OgaDestroyImages(OgaImages* images); */ OGA_EXPORT OgaResult* OGA_API_CALL OgaCreateModel(const char* config_path, OgaModel** out); +/* + * \brief Creates a model from the given configuration directory, runtime settings and device type. + * \param[in] config_path The path to the model configuration directory. The path is expected to be encoded in UTF-8. + * \param[in] settings The runtime settings to use for the model. + * \param[in] device_type The device type to use for the model. + * \param[out] out The created model. + * \return OgaResult containing the error message if the model creation failed. + */ +OGA_EXPORT OgaResult* OGA_API_CALL OgaCreateModelWithRuntimeSettings(const char* config_path, const OgaRuntimeSettings* settings, OgaModel** out); + /* * \brief Destroys the given model. * \param[in] model The model to be destroyed. @@ -273,8 +324,19 @@ OGA_EXPORT void OGA_API_CALL OgaDestroyMultiModalProcessor(OgaMultiModalProcesso */ OGA_EXPORT OgaResult* OGA_API_CALL OgaTokenizerEncode(const OgaTokenizer*, const char* str, OgaSequences* sequences); +/* + * \brief Converts the given string to a single token id. + * \param[in] tokenizer The tokenizer to use to convert the string to a token id. + * \param[in] str The string to convert to a token id. + * \param[in] token_id The converted token id. + * \return OgaResult containing the error message if the conversion of the string to a token id failed. + */ +OGA_EXPORT OgaResult* OGA_API_CALL OgaTokenizerToTokenId(const OgaTokenizer* tokenizer, const char* str, int32_t* token_id); + OGA_EXPORT OgaResult* OGA_API_CALL OgaProcessorProcessImages(const OgaMultiModalProcessor*, const char* prompt, const OgaImages* images, OgaNamedTensors** input_tensors); +OGA_EXPORT OgaResult* OGA_API_CALL OgaProcessorProcessAudios(const OgaMultiModalProcessor*, const OgaAudios* audios, OgaNamedTensors** input_tensors); + /* Decode a single token sequence and returns a null terminated utf8 string. out_string must be freed with OgaDestroyString */ OGA_EXPORT OgaResult* OGA_API_CALL OgaTokenizerDecode(const OgaTokenizer*, const int32_t* tokens, size_t token_count, const char** out_string); @@ -356,6 +418,45 @@ OGA_EXPORT OgaResult* OGA_API_CALL OgaStringArrayAddString(OgaStringArray* strin */ OGA_EXPORT size_t OGA_API_CALL OgaStringArrayGetCount(const OgaStringArray* string_array); +/* + * \brief Creates the OgaAdapters object that manages the adapters. + - The OgaAdapters object is used to load all the model adapters. + - It is responsible for reference counting the loaded adapters. + */ +OGA_EXPORT OgaResult* OGA_API_CALL OgaCreateAdapters(const OgaModel* model, OgaAdapters** out); + +/* + * \brief Destroys the OgaAdapters object. + */ +OGA_EXPORT void OGA_API_CALL OgaDestroyAdapters(OgaAdapters* adapters); + +/* + * \brief Loads the model adapter from the given adapter file path and adapter name. + * \param[in] adapters The OgaAdapters object to load the adapter. + * \param[in] adapter_file_path The file path of the adapter to load. + * \param[in] adapter_name A unique identifier for the adapter chosed by the function invoker. + * This name is used for querying the adapter. + */ +OGA_EXPORT OgaResult* OGA_API_CALL OgaLoadAdapter(OgaAdapters* adapters, const char* adapter_file_path, + const char* adapter_name); + +/* + * \brief Unloads the adapter with the given identifier from the previosly loaded adapters. + If the adapter is not found, or if it cannot be unloaded (when it is in use), an error is returned. + * \param[in] adapters The OgaAdapters object to unload the adapter. + * \param[in] adapter_name The name of the adapter to unload. + */ +OGA_EXPORT OgaResult* OGA_API_CALL OgaUnloadAdapter(OgaAdapters* adapters, const char* adapter_name); + +/* + * \brief Sets the adapter with the given adapter name as active for the given OgaGenerator object. + * \param[in] generator The OgaGenerator object to set the active adapter. + * \param[in] adapters The OgaAdapters object that manages the model adapters. + * \param[in] adapter_name The name of the adapter to set as active. + */ +OGA_EXPORT OgaResult* OGA_API_CALL OgaSetActiveAdapter(OgaGenerator* generator, OgaAdapters* adapters, + const char* adapter_name); + #ifdef __cplusplus } #endif diff --git a/src/python/CMakeLists.txt b/src/python/CMakeLists.txt index 6628862a3..326ccfe2e 100644 --- a/src/python/CMakeLists.txt +++ b/src/python/CMakeLists.txt @@ -9,7 +9,7 @@ target_include_directories(python PRIVATE ${ORT_HEADER_DIR}) target_link_directories(python PRIVATE ${ORT_LIB_DIR}) target_link_libraries(python PRIVATE onnxruntime-genai-static) -if(NOT (CMAKE_SYSTEM_NAME STREQUAL "Android" OR CMAKE_SYSTEM_NAME STREQUAL "Linux")) +if(NOT (CMAKE_SYSTEM_NAME STREQUAL "Android" OR CMAKE_SYSTEM_NAME STREQUAL "Linux" OR CMAKE_SYSTEM_NAME STREQUAL "Darwin")) target_link_libraries(python PRIVATE ${ONNXRUNTIME_LIB}) endif() @@ -27,14 +27,7 @@ if(USE_CUDA AND CMAKE_CUDA_COMPILER) target_link_libraries(python PRIVATE cublas curand cudart) endif() -# Avoid warning of Calling FetchContent_Populate(Lib) is deprecated temporarily -# TODO: find a better way to handle the header-only 3rd party deps -if(CMAKE_VERSION VERSION_GREATER_EQUAL "3.30.0") - cmake_policy(SET CMP0169 OLD) -endif() - -set_target_properties(python PROPERTIES FOLDER "Sources") -source_group(TREE ${PROJECT_SOURCE_DIR} FILES ${python_srcs}) +source_group(TREE ${CMAKE_CURRENT_SOURCE_DIR} FILES ${python_srcs}) if(BUILD_WHEEL) set(WHEEL_FILES_DIR "${CMAKE_BINARY_DIR}/wheel") diff --git a/src/python/py/_dll_directory.py b/src/python/py/_dll_directory.py index 0e47dbdce..1b09994c0 100644 --- a/src/python/py/_dll_directory.py +++ b/src/python/py/_dll_directory.py @@ -12,6 +12,10 @@ def _is_linux(): return sys.platform.startswith("linux") +def _is_macos(): + return sys.platform.startswith("darwin") + + def add_onnxruntime_dependency(package_id: str): """Add the onnxruntime shared library dependency. @@ -38,7 +42,7 @@ def add_onnxruntime_dependency(package_id: str): import ctypes _ = ctypes.CDLL(dml_path) - elif _is_linux(): + elif _is_linux() or _is_macos(): import importlib.util import ctypes import glob @@ -50,11 +54,17 @@ def add_onnxruntime_dependency(package_id: str): # Load the onnxruntime shared library here since we can find the path in python with ease. # This avoids needing to know the exact path of the shared library from native code. ort_package_path = ort_package.submodule_search_locations[0] - ort_lib_path = glob.glob(os.path.join(ort_package_path, "capi", "libonnxruntime.so*")) + if _is_linux(): + ort_lib_path = glob.glob(os.path.join(ort_package_path, "capi", "libonnxruntime.so*")) + elif _is_macos(): + ort_lib_path = glob.glob(os.path.join(ort_package_path, "capi", "libonnxruntime*.dylib")) if not ort_lib_path: raise ImportError("Could not find the onnxruntime shared library.") - _ = ctypes.CDLL(ort_lib_path[0]) + target_lib_path = ort_lib_path[0] + os.environ["ORT_LIB_PATH"] = target_lib_path + + _ = ctypes.CDLL(target_lib_path) def add_cuda_dependency(): diff --git a/src/python/py/models/README.md b/src/python/py/models/README.md index 8cc995c95..089160e66 100644 --- a/src/python/py/models/README.md +++ b/src/python/py/models/README.md @@ -18,6 +18,9 @@ This folder contains the model builder for quickly creating optimized and quanti - [Exclude Language Modeling Head](#exclude-language-modeling-head) - [Enable Cuda Graph](#enable-cuda-graph) - [Use 8 Bits Quantization in QMoE](#use-8-bits-quantization-in-qmoe) + - [Hugging Face Authentication](#hugging-face-authentication) + - [Use QDQ Pattern for Quantization](#use-qdq-pattern-for-quantization) + - [LoRA Models](#lora-models) - [Unit Testing Models](#unit-testing-models) - [Option 1: Use the model builder directly](#option-1-use-the-model-builder-directly) - [Option 2: Edit the config.json file](#option-2-edit-the-configjson-file-on-disk-and-then-run-the-model-builder) @@ -32,6 +35,7 @@ The tool currently supports the following model architectures. - Mistral - Phi - Qwen +- Nemotron It is intended for supporting the latest, popular state-of-the-art models. @@ -185,6 +189,49 @@ python3 -m onnxruntime_genai.models.builder -i path_to_local_folder_on_disk -o p python3 builder.py -i path_to_local_folder_on_disk -o path_to_output_folder -p precision -e execution_provider -c cache_dir_to_store_temp_files --extra_options use_8bits_moe=1 ``` +#### Hugging Face Authentication + +This scenario is for when you need to disable the Hugging Face authentication or use a different authentication token than the one stored in [huggingface-cli login](https://huggingface.co/docs/huggingface_hub/main/en/guides/cli#huggingface-cli-login). + +Possible values : + +- hf_token=False +- hf_token= + +``` +# From wheel: +python3 -m onnxruntime_genai.models.builder -m model_name -o path_to_output_folder -p precision -e execution_provider -c cache_dir_for_hf_files --extra_options hf_token=False + +# From source: +python3 builder.py -m model_name -o path_to_output_folder -p precision -e execution_provider -c cache_dir_for_hf_files --extra_options hf_token=False +``` + +#### Use QDQ Pattern for Quantization + +This scenario is for when you want to use the QDQ pattern (DequantizeLinear + MatMul) instead of the MatMulNBits operator when quantizing the model to 4 bits. + +``` +# From wheel: +python3 -m onnxruntime_genai.models.builder -i path_to_local_folder_on_disk -o path_to_output_folder -p precision -e execution_provider -c cache_dir_to_store_temp_files --extra_options use_qdq=1 + +# From source: +python3 builder.py -i path_to_local_folder_on_disk -o path_to_output_folder -p precision -e execution_provider -c cache_dir_to_store_temp_files --extra_options use_qdq=1 +``` + +#### LoRA Models + +This scenario is where you have a finetuned model with LoRA adapters and your model can be loaded in the Hugging Face style via [PEFT](https://github.com/huggingface/peft). + +- path_to_local_folder_on_disk = location where base_model's weights are present + +``` +# From wheel: +python3 -m onnxruntime_genai.models.builder -i path_to_local_folder_on_disk -o path_to_output_folder -p fp16 -e execution_provider -c cache_dir_to_store_temp_files --extra_options adapter_path=path_to_adapter_files + +# From source: +python3 builder.py -i path_to_local_folder_on_disk -o path_to_output_folder -p fp16 -e execution_provider -c cache_dir_to_store_temp_files --extra_options adapter_path=path_to_adapter_files +``` + ### Unit Testing Models This scenario is where your PyTorch model is already downloaded locally (either in the default Hugging Face cache directory or in a local folder on disk). If it is not already downloaded locally, here is an example of how you can download it. diff --git a/src/python/py/models/builder.py b/src/python/py/models/builder.py index 0f064dde0..6c54bd429 100644 --- a/src/python/py/models/builder.py +++ b/src/python/py/models/builder.py @@ -3,12 +3,13 @@ # Licensed under the MIT License. See License.txt in the project root for # license information. # -------------------------------------------------------------------------- +# Modifications Copyright(C) 2024 Advanced Micro Devices, Inc. All rights reserved """ Run this script to create the desired ONNX model. """ from onnx import helper, numpy_helper, TensorProto, external_data_helper, save_model -from onnxruntime.quantization.matmul_4bits_quantizer import MatMul4BitsQuantizer +from onnxruntime.quantization.matmul_4bits_quantizer import MatMul4BitsQuantizer, QuantFormat from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer, GenerationConfig import numpy as np import torch @@ -21,16 +22,16 @@ class Model: - def __init__(self, config, io_dtype, onnx_dtype, ep, cache_dir, extra_options): - self.context_length = config.max_position_embeddings - self.original_context_length = config.original_max_position_embeddings if hasattr(config, "original_max_position_embeddings") else config.rope_scaling["original_max_position_embeddings"] if hasattr(config, "rope_scaling") and hasattr(config.rope_scaling, "original_max_position_embeddings") else config.max_position_embeddings + def __init__(self, config, io_dtype, onnx_dtype, ep, cache_dir, extra_options): + self.context_length = config.seq_length if hasattr(config, "seq_length") else config.max_position_embeddings + self.original_context_length = config.original_max_position_embeddings if hasattr(config, "original_max_position_embeddings") else config.rope_scaling["original_max_position_embeddings"] if hasattr(config, "rope_scaling") and hasattr(config.rope_scaling, "original_max_position_embeddings") else self.context_length self.window_size = config.sliding_window if hasattr(config, "sliding_window") else -1 # default is -1 in GroupQueryAttention kernel - self.intermediate_size = config.intermediate_size + self.intermediate_size = config.ffn_hidden_size if hasattr(config, "ffn_hidden_size") else config.intermediate_size self.hidden_size = config.hidden_size - self.num_kv_heads = config.num_key_value_heads if hasattr(config, "num_key_value_heads") else config.num_attention_heads + self.num_kv_heads = config.num_key_value_heads if hasattr(config, "num_key_value_heads") else config.multi_query_group_num if hasattr(config, "multi_query_group_num") else config.num_attention_heads self.num_attn_heads = config.num_attention_heads self.head_size = config.head_dim if hasattr(config, "head_dim") else config.hidden_size // config.num_attention_heads - self.num_layers = int(extra_options["num_hidden_layers"]) if "num_hidden_layers" in extra_options else config.num_hidden_layers + self.num_layers = int(extra_options["num_hidden_layers"]) if "num_hidden_layers" in extra_options else config.num_hidden_layers if hasattr(config, "num_hidden_layers") else config.num_layers self.vocab_size = config.vocab_size self.activation = config.hidden_activation if hasattr(config, "hidden_activation") and config.hidden_activation is not None else config.hidden_act @@ -39,9 +40,11 @@ def __init__(self, config, io_dtype, onnx_dtype, ep, cache_dir, extra_options): self.io_dtype = io_dtype # {'fp16', 'fp32'} self.onnx_dtype = onnx_dtype # {"int4", "fp16", "fp32"} self.quant_type = config.quantization_config["quant_method"] if hasattr(config, "quantization_config") else None + self.adapter_path = extra_options["adapter_path"] if "adapter_path" in extra_options else None self.cache_dir = cache_dir self.filename = extra_options["filename"] if "filename" in extra_options else "model.onnx" + self.hf_token = parse_hf_token(extra_options.get("hf_token", "true")) self.extra_options = extra_options self.inputs = [] @@ -51,7 +54,7 @@ def __init__(self, config, io_dtype, onnx_dtype, ep, cache_dir, extra_options): self.nodes = [] # EP-specific variables - enable_cuda_graph = "1" if "enable_cuda_graph" in extra_options and extra_options["enable_cuda_graph"] == "1" else "0" + enable_cuda_graph = "1" if "enable_cuda_graph" in extra_options else "0" self.ep = ep self.ep_attrs = { "cpu": {}, @@ -157,6 +160,12 @@ def __init__(self, config, io_dtype, onnx_dtype, ep, cache_dir, extra_options): "epsilon": epsilon, # Epsilon value to avoid `sqrt(0)` in LayerNorm } + # MatMul-specific variables + is_lora = hasattr(config, "peft_type") and config.peft_type == "LORA" + self.matmul_attrs = { + "use_lora": is_lora, # Use LoRA/QLoRA format + } + # RotaryEmbedding-specific variables position_scale = config.rope_position_scale if hasattr(config, "rope_position_scale") else 1 partial_rotary_factor = config.partial_rotary_factor if hasattr(config, "partial_rotary_factor") else 1.0 @@ -214,12 +223,15 @@ def __init__(self, config, io_dtype, onnx_dtype, ep, cache_dir, extra_options): vert_block_stride = config.blocksparse_vert_stride if hasattr(config, "blocksparse_vert_stride") else 0 homo_head = config.blocksparse_homo_head_pattern if hasattr(config, "blocksparse_homo_head_pattern") else False self.attention_attrs = { + "q_path": "", # Q path to attention + "k_path": "", # K path to attention + "v_path": "", # V path to attention "op_type": "MultiHeadAttention", # Attention op to use "scale": 1 / np.sqrt(self.head_size), # Scale value after calculating Q x K' in attention "softcap": softcap, # Softcap value to prevent values from exploding in attention "use_rotemb_in_attn": False, # Use rotary embeddings within attention (instead of a separate RotaryEmbedding op) "use_packed_matmul": False, # Use packed MatMul (instead of 3 separate MatMuls for Q/K/V) - "block_sparse": { + "block_sparse": { # Block-sparse attention-specific variables "sparse_block_size": sparse_block_size, # Sparse block size for SparseAttention op "kernel_block_size": kernel_block_size, # Kernel block size for sparse attention "local_blocks": local_blocks, # Number of local blocks for sparse attention @@ -230,6 +242,7 @@ def __init__(self, config, io_dtype, onnx_dtype, ep, cache_dir, extra_options): valid_gqa_configurations = [ ("cpu", TensorProto.FLOAT), ("cuda", TensorProto.FLOAT16), + ("rocm", TensorProto.FLOAT16), ("dml", TensorProto.FLOAT16), ] if (self.ep, self.io_dtype) in valid_gqa_configurations: @@ -238,7 +251,8 @@ def __init__(self, config, io_dtype, onnx_dtype, ep, cache_dir, extra_options): print("GroupQueryAttention (GQA) is used in this model.") # DML doesn't support packed Q/K/V for GQA yet - self.attention_attrs["use_packed_matmul"] = self.ep != "dml" + # Packed MatMul with LoRA/QLoRA is not currently supported + self.attention_attrs["use_packed_matmul"] = self.ep != "dml" and not self.matmul_attrs["use_lora"] # GQA + Rot.Emb. does not require `position ids` as input if self.ep != "dml": @@ -280,8 +294,9 @@ def __init__(self, config, io_dtype, onnx_dtype, ep, cache_dir, extra_options): self.quant_attrs = { "int4": { "block_size": int(extra_options["int4_block_size"]) if "int4_block_size" in extra_options else 32, - "accuracy_level": int(extra_options["int4_accuracy_level"]) if "int4_accuracy_level" in extra_options else None, - } + "accuracy_level": int(extra_options["int4_accuracy_level"]) if "int4_accuracy_level" in extra_options else 0, # Default is 0 for non-QDQ formats, default is 4 for QDQ formats + }, + "use_qdq": False, # Use QDQ format } if self.quant_type is not None: # Create quantized attributes from quantization config @@ -291,9 +306,9 @@ def __init__(self, config, io_dtype, onnx_dtype, ep, cache_dir, extra_options): def make_genai_config(self, model_name_or_path, extra_kwargs, out_dir): try: - config = GenerationConfig.from_pretrained(model_name_or_path, use_auth_token=True, trust_remote_code=True, **extra_kwargs) + config = GenerationConfig.from_pretrained(model_name_or_path, token=self.hf_token, trust_remote_code=True, **extra_kwargs) except: - config = AutoConfig.from_pretrained(model_name_or_path, use_auth_token=True, trust_remote_code=True, **extra_kwargs) + config = AutoConfig.from_pretrained(model_name_or_path, token=self.hf_token, trust_remote_code=True, **extra_kwargs) inputs = dict(zip(self.input_names, self.input_names)) inputs.update({ "past_key_names": "past_key_values.%d.key", @@ -301,7 +316,7 @@ def make_genai_config(self, model_name_or_path, extra_kwargs, out_dir): }) genai_config = { "model": { - "bos_token_id": config.bos_token_id, + "bos_token_id": config.bos_token_id if hasattr(config, "bos_token_id") else 1, # config.bos_token_id not present in ChatGLM model configs. "context_length": self.context_length, "decoder": { "session_options" : { @@ -353,7 +368,7 @@ def make_genai_config(self, model_name_or_path, extra_kwargs, out_dir): json.dump(genai_config, f, indent=4) def save_processing(self, model_name_or_path, extra_kwargs, out_dir): - tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, use_auth_token=True, trust_remote_code=True, **extra_kwargs) + tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, token=self.hf_token, trust_remote_code=True, **extra_kwargs) print(f"Saving processing files in {out_dir} for GenAI") tokenizer.save_pretrained(out_dir) @@ -363,7 +378,7 @@ def save_model(self, out_dir): # Create ONNX model model = helper.make_model( - opset_imports=[self.clear_field(helper.make_operatorsetid('', 14), 'domain'), helper.make_operatorsetid('com.microsoft', 1)], + opset_imports=[self.clear_field(helper.make_operatorsetid('', 21 if self.quant_attrs["use_qdq"] else 14), 'domain'), helper.make_operatorsetid('com.microsoft', 1)], ir_version=7, producer_name="onnxruntime-genai", producer_version="0.0.0", @@ -421,6 +436,7 @@ def to_int4(self, model): is_symmetric=True, accuracy_level=self.quant_attrs["int4"]["accuracy_level"], nodes_to_exclude=[], + quant_format=QuantFormat.QDQ if self.quant_attrs["use_qdq"] else QuantFormat.QOperator, ) quant.process() return quant.model.model @@ -433,7 +449,7 @@ def order_repeated_field(self, repeated_proto, key_name, order): order = list(order) repeated_proto.sort(key=lambda x: order.index(getattr(x, key_name))) - def make_external_tensor(self, np_data, name, **kwargs): + def make_external_tensor(self, np_data, name, unpack_int4=False, **kwargs): tensor = numpy_helper.from_array(np_data) tensor.name = name @@ -444,6 +460,10 @@ def make_external_tensor(self, np_data, name, **kwargs): tensor.ClearField("raw_data") tensor.data_location = TensorProto.EXTERNAL + if unpack_int4 and self.onnx_dtype == 'int4': + tensor.data_type = TensorProto.UINT4 + tensor.dims[-1] *= 2 + self.initializers.append(tensor) def make_node(self, op_type, inputs, outputs, name=None, doc_string=None, domain=None, **kwargs): @@ -575,6 +595,11 @@ def make_greater(self, name, inputs, shape): output = f"{name}/output_0" self.make_node("Greater", inputs=inputs, outputs=[output], name=name) self.make_value_info(output, TensorProto.BOOL, shape=shape) + + def make_greater_or_equal(self, name, inputs, shape): + output = f"{name}/output_0" + self.make_node("GreaterOrEqual", inputs=inputs, outputs=[output], name=name) + self.make_value_info(output, TensorProto.BOOL, shape=shape) def make_isinf(self, name, root_input, shape): output = f"{name}/output_0" @@ -601,6 +626,11 @@ def make_reduce_sum(self, name, inputs, dtype, shape): self.make_node("ReduceSum", inputs=inputs, outputs=[output], name=name) self.make_value_info(output, dtype, shape=shape) + def make_reduce_max(self, name, inputs, dtype, shape): + output = f"{name}/output_0" + self.make_node("ReduceMax", inputs=inputs, outputs=[output], name=name, keepdims=False) + self.make_value_info(output, dtype, shape=shape) + def make_cast(self, name, root_input, dtype, shape): output = f"{name}/output_0" self.make_node("Cast", inputs=[root_input], outputs=[output], name=name, to=dtype) @@ -652,10 +682,21 @@ def make_tanh(self, name, root_input, dtype, shape): self.make_value_info(output, dtype, shape=shape) def make_matmul(self, matmul, basename, root_input, **kwargs): + if hasattr(matmul, "base_layer"): + # For LoRA `MatMul` + return self.make_matmul_lora(matmul, basename, root_input, **kwargs) + else: + # For regular `MatMul` + return self.make_matmul_op(matmul, basename, root_input, **kwargs) + + def make_matmul_op(self, matmul, basename, root_input, **kwargs): if self.onnx_dtype in {"fp16", "fp32"}: return self.make_matmul_fp16_or_fp32(matmul, basename, root_input, **kwargs) elif self.onnx_dtype == "int4": - return self.make_matmul_int4(matmul, basename, root_input, **kwargs) + if self.quant_attrs["use_qdq"]: + return self.make_matmul_int4_qdq(matmul, basename, root_input, **kwargs) + else: + return self.make_matmul_int4(matmul, basename, root_input, **kwargs) else: raise NotImplementedError(f"The {self.onnx_dtype} precision is not currently supported.") @@ -700,12 +741,103 @@ def make_matmul_int4(self, matmul, basename, root_input, **kwargs): output = "logits" if kwargs.get("logits", False) else f"{name}/output_0" self.make_node( "MatMulNBits", inputs=inputs, outputs=[output], name=name, domain="com.microsoft", + accuracy_level=self.quant_attrs["int4"]["accuracy_level"], bits=matmul.bits, block_size=matmul.group_size, K=matmul.in_features, N=matmul.out_features, ) self.make_value_info(output, self.io_dtype, shape=['batch_size', 'sequence_length', matmul.out_features]) return name + def make_dequantize_linear(self, dequantize_name, quantized_op): + # Input weights are quantized, save quantized MatMul numpy weights for onnx model + qweight = dequantize_name[1:].replace("/", ".") + ".qweight" + qweight_npy = quantized_op.qweight.detach().numpy() + qweight_npy = qweight_npy.reshape(*qweight_npy.shape[:-2], qweight_npy.shape[-2] * qweight_npy.shape[-1]) + self.make_external_tensor(qweight_npy, qweight, True) + + scales = dequantize_name[1:].replace("/", ".") + ".scales" + scales_npy = quantized_op.scales.detach().numpy().astype(self.to_numpy_dtype[self.io_dtype]) + scales_npy = scales_npy.reshape(*qweight_npy.shape[:-1], qweight_npy.shape[-1] * 2 // quantized_op.group_size) + self.make_external_tensor(scales_npy, scales) + + dequantize_inputs = [qweight, scales] + + if hasattr(quantized_op, "qzeros") and quantized_op.qzeros is not None: + zeros = dequantize_name[1:].replace("/", ".") + ".qzeros" + zeros_npy = quantized_op.qzeros.detach().numpy() + zeros_npy = zeros_npy.reshape(*qweight_npy.shape[:-1], qweight_npy.shape[-1] // quantized_op.group_size) + self.make_external_tensor(zeros_npy, zeros, True) + dequantize_inputs.append(zeros) + + dequantize_output = f"{dequantize_name}/output_0" + self.make_node("DequantizeLinear", inputs=dequantize_inputs, outputs=[dequantize_output], name=dequantize_name, block_size=quantized_op.group_size, axis=-1) + self.make_value_info(dequantize_output, self.io_dtype, shape=[*scales_npy.shape[:-1], scales_npy.shape[-1] * quantized_op.group_size]) + + return dequantize_output + + def make_matmul_int4_qdq(self, matmul, matmul_name, root_input, **kwargs): + if not hasattr(matmul, "qweight"): + # TODO: quantize weights, then save new MatMul numpy weights for onnx model + # print(f"Quantizing to {self.onnx_dtype} on-the-fly is not currently supported.") + # print(f"Saving as {self.io_dtype} on-the-fly and quantizing to {self.onnx_dtype} at the end.") + return self.make_matmul_fp16_or_fp32(matmul, matmul_name, root_input, **kwargs) + + dequantize_output = self.make_dequantize_linear(f"{matmul_name}/DequantizeLinear", matmul) + + # Add a transpose instead of transposing the weights offline. The reason for this is that it is more natural and usually more performant to + # compute quantized matmul when the weights are transposed. In most implementations, the transpose should usually be converted to a "transposeB" + # attribute on the MatMul itself. A more natural way to represent this would have been to use Gemm since it already supports a transB attribute, + # but unfortunately Gemm doesn't support batches. + qweight_shape = matmul.qweight.detach().numpy().shape + transposed_shape = [qweight_shape[1] * qweight_shape[2] * 2, qweight_shape[0]] + transpose_name = f"{matmul_name}/Transpose" + self.make_transpose(transpose_name, dequantize_output, self.io_dtype, transposed_shape, [1, 0]) + + matmul_output = "logits" if kwargs.get("logits", False) else f"{matmul_name}/output_0" + self.make_node("MatMul", inputs=[root_input, f"{transpose_name}/output_0"], outputs=[matmul_output], name=matmul_name) + self.make_value_info(matmul_output, self.io_dtype, shape=['batch_size', 'sequence_length', matmul.out_features]) + + return matmul_name + + def make_matmul_lora(self, matmul, basename, root_input, **kwargs): + # Make nodes for the MatMul-LoRA subgraph + # + # root_input + # | + # +------+------+ + # | | + # MatMul_LoRA_A MatMul + # | | + # MatMul_LoRA_B | + # | | + # +------+------+ + # | + # Add_LoRA_Add + + basename_parts = basename.split("/") + + # Make LoRA MatMul path + matmul_A_basename = "/".join(basename_parts[:-1] + ["lora_A"] + basename_parts[-1:]) + matmul_A_name = self.make_matmul_op(matmul.lora_A.default, matmul_A_basename, root_input=root_input) + lora_A = f"{matmul_A_name}/output_0" + + matmul.lora_B.default.weight *= matmul.scaling["default"] + matmul_B_basename = "/".join(basename_parts[:-1] + ["lora_B"] + basename_parts[-1:]) + matmul_B_name = self.make_matmul_op(matmul.lora_B.default, matmul_B_basename, root_input=lora_A) + lora_B = f"{matmul_B_name}/output_0" + + # Make regular MatMul path + last_dim = matmul.base_layer.weight.shape[0] + matmul_name = self.make_matmul_op(matmul.base_layer, basename, root_input, **kwargs) + + # Make LoRA Add node + add_name = "/".join(basename_parts[:-1] + ["lora", "Add"]) + add_inputs = [f"{matmul_name}/output_0", lora_B] + add_shape = ["batch_size", "sequence_length", last_dim] + self.make_add(add_name, add_inputs, dtype=self.io_dtype, shape=add_shape) + + return add_name + def make_packed_matmul(self, q_matmul, k_matmul, v_matmul, basename, root_input, **kwargs): if self.onnx_dtype in {"fp16", "fp32"}: return self.make_packed_matmul_fp16_or_fp32(q_matmul, k_matmul, v_matmul, basename, root_input, **kwargs) @@ -775,6 +907,7 @@ def __init__(self): output = "logits" if kwargs.get("logits", False) else f"{name}/output_0" self.make_node( "MatMulNBits", inputs=inputs, outputs=[output], name=name, domain="com.microsoft", + accuracy_level=self.quant_attrs["int4"]["accuracy_level"], bits=matmul.bits, block_size=matmul.group_size, K=matmul.in_features, N=matmul.out_features, ) self.make_value_info(output, self.io_dtype, shape=['batch_size', 'sequence_length', matmul.out_features]) @@ -1308,26 +1441,22 @@ def make_attention(self, layer_id, attention, root_input, **kwargs): # | # O_Add - q_input_to_attention = "" - k_input_to_attention = "" - v_input_to_attention = "" - # Make MatMul nodes if self.attention_attrs["use_packed_matmul"]: # Combine 3 MatMuls into 1 packed MatMul qkv_matmul_basename = f"/model/layers.{layer_id}/attn/qkv_proj/MatMul" qkv_matmul_name = self.make_packed_matmul(attention.q_proj, attention.k_proj, attention.v_proj, qkv_matmul_basename, root_input) - q_input_to_attention = f"{qkv_matmul_name}/output_0" + self.attention_attrs["q_path"] = f"{qkv_matmul_name}/output_0" else: q_matmul_basename = f"/model/layers.{layer_id}/attn/q_proj/MatMul" q_matmul_name = self.make_matmul(attention.q_proj, q_matmul_basename, root_input) - q_input_to_attention = f"{q_matmul_name}/output_0" + self.attention_attrs["q_path"] = f"{q_matmul_name}/output_0" k_matmul_basename = f"/model/layers.{layer_id}/attn/k_proj/MatMul" k_matmul_name = self.make_matmul(attention.k_proj, k_matmul_basename, root_input) - k_input_to_attention = f"{k_matmul_name}/output_0" + self.attention_attrs["k_path"] = f"{k_matmul_name}/output_0" v_matmul_basename = f"/model/layers.{layer_id}/attn/v_proj/MatMul" v_matmul_name = self.make_matmul(attention.v_proj, v_matmul_basename, root_input) - v_input_to_attention = f"{v_matmul_name}/output_0" + self.attention_attrs["v_path"] = f"{v_matmul_name}/output_0" # Make Add nodes (if bias exists) q_bias_exists = attention.q_proj.bias is not None and torch.count_nonzero(attention.q_proj.bias) > 0 @@ -1338,21 +1467,21 @@ def make_attention(self, layer_id, attention, root_input, **kwargs): if all_bias_exists and self.attention_attrs["use_packed_matmul"]: # Combine 3 Adds into 1 packed Add qkv_add_name = f"/model/layers.{layer_id}/attn/qkv_proj/Add" - self.make_packed_add(attention.q_proj.bias.detach().numpy(), attention.k_proj.bias.detach().numpy(), attention.v_proj.bias.detach().numpy(), qkv_add_name, root_input=q_input_to_attention) - q_input_to_attention = f"{qkv_add_name}/output_0" + self.make_packed_add(attention.q_proj.bias.detach().numpy(), attention.k_proj.bias.detach().numpy(), attention.v_proj.bias.detach().numpy(), qkv_add_name, root_input=self.attention_attrs["q_path"]) + self.attention_attrs["q_path"] = f"{qkv_add_name}/output_0" else: if q_bias_exists: q_add_name = f"/model/layers.{layer_id}/attn/q_proj/Add" - self.make_add_bias(attention.q_proj.bias.detach().numpy(), q_add_name, root_input=q_input_to_attention) - q_input_to_attention = f"{q_add_name}/output_0" + self.make_add_bias(attention.q_proj.bias.detach().numpy(), q_add_name, root_input=self.attention_attrs["q_path"]) + self.attention_attrs["q_path"] = f"{q_add_name}/output_0" if k_bias_exists: k_add_name = f"/model/layers.{layer_id}/attn/k_proj/Add" - self.make_add_bias(attention.k_proj.bias.detach().numpy(), k_add_name, root_input=k_input_to_attention) - k_input_to_attention = f"{k_add_name}/output_0" + self.make_add_bias(attention.k_proj.bias.detach().numpy(), k_add_name, root_input=self.attention_attrs["k_path"]) + self.attention_attrs["k_path"] = f"{k_add_name}/output_0" if v_bias_exists: v_add_name = f"/model/layers.{layer_id}/attn/v_proj/Add" - self.make_add_bias(attention.v_proj.bias.detach().numpy(), v_add_name, root_input=v_input_to_attention) - v_input_to_attention = f"{v_add_name}/output_0" + self.make_add_bias(attention.v_proj.bias.detach().numpy(), v_add_name, root_input=self.attention_attrs["v_path"]) + self.attention_attrs["v_path"] = f"{v_add_name}/output_0" # Make RotaryEmbedding nodes cos_cache_name, sin_cache_name = "", "" @@ -1360,11 +1489,11 @@ def make_attention(self, layer_id, attention, root_input, **kwargs): cos_cache_name, sin_cache_name = self.make_rotary_embedding_caches(attention.rotary_emb) else: q_rotary_name = f"/model/layers.{layer_id}/attn/q_rotary/RotaryEmbedding" - self.make_rotary_embedding(attention.rotary_emb, q_rotary_name, root_input=q_input_to_attention, position_ids=kwargs.get("position_ids", "position_ids")) - q_input_to_attention = f"{q_rotary_name}/output_0" + self.make_rotary_embedding(attention.rotary_emb, q_rotary_name, root_input=self.attention_attrs["q_path"], position_ids=kwargs.get("position_ids", "position_ids")) + self.attention_attrs["q_path"] = f"{q_rotary_name}/output_0" k_rotary_name = f"/model/layers.{layer_id}/attn/k_rotary/RotaryEmbedding" - self.make_rotary_embedding(attention.rotary_emb, k_rotary_name, root_input=k_input_to_attention, position_ids=kwargs.get("position_ids", "position_ids")) - k_input_to_attention = f"{k_rotary_name}/output_0" + self.make_rotary_embedding(attention.rotary_emb, k_rotary_name, root_input=self.attention_attrs["k_path"], position_ids=kwargs.get("position_ids", "position_ids")) + self.attention_attrs["k_path"] = f"{k_rotary_name}/output_0" # Make repeat KV nodes (Note: `repeat_kv` needs to be kept since GroupQueryAttention isn't supported for FP32 CUDA) past_k = f"past_key_values.{layer_id}.key" @@ -1372,14 +1501,14 @@ def make_attention(self, layer_id, attention, root_input, **kwargs): present_k = f"present.{layer_id}.key" present_v = f"present.{layer_id}.value" if self.num_attn_heads != self.num_kv_heads and self.attention_attrs["op_type"] == "MultiHeadAttention": - k_input_to_attention = self.make_repeat_kv(layer_id, root_input=k_input_to_attention, past_kv=past_k, present_kv=present_k) - v_input_to_attention = self.make_repeat_kv(layer_id, root_input=v_input_to_attention, past_kv=past_v, present_kv=present_v) + self.attention_attrs["k_path"] = self.make_repeat_kv(layer_id, root_input=self.attention_attrs["k_path"], past_kv=past_k, present_kv=present_k) + self.attention_attrs["v_path"] = self.make_repeat_kv(layer_id, root_input=self.attention_attrs["v_path"], past_kv=past_v, present_kv=present_v) past_k, past_v, present_k, present_v = "", "", "", "" # Make attention node (e.g. MultiHeadAttention, GroupQueryAttention, etc.) attn_name = f"/model/layers.{layer_id}/attn/{self.attention_attrs['op_type']}" self.make_attention_op( - attn_name, q_path=q_input_to_attention, k_path=k_input_to_attention, v_path=v_input_to_attention, + attn_name, q_path=self.attention_attrs["q_path"], k_path=self.attention_attrs["k_path"], v_path=self.attention_attrs["v_path"], past_k=past_k, past_v=past_v, present_k=present_k, present_v=present_v, cos_cache=cos_cache_name, sin_cache=sin_cache_name, **kwargs, ) @@ -1401,23 +1530,16 @@ def make_attention(self, layer_id, attention, root_input, **kwargs): self.layernorm_attrs["skip_input"] = f"{o_matmul_name if not o_bias_exists else o_add_name}/output_0" def make_attention_unpacked(self, layer_id, attention, root_input, **kwargs): - q_size = self.num_attn_heads * self.head_size - kv_size = self.num_kv_heads * self.head_size qkv_proj = 'qkv_proj' if hasattr(attention, 'qkv_proj') else 'query_key_value' qkv_linear = eval(f"attention.{qkv_proj}") - attention.q_proj = torch.nn.Linear(in_features=q_size, out_features=q_size) - attention.q_proj.weight = torch.nn.Parameter(qkv_linear.weight[: q_size, :]) - attention.q_proj.bias = None if qkv_linear.bias is None else torch.nn.Parameter(qkv_linear.bias[: q_size]) - - attention.k_proj = torch.nn.Linear(in_features=q_size, out_features=kv_size) - attention.k_proj.weight = torch.nn.Parameter(qkv_linear.weight[q_size : q_size + kv_size, :]) - attention.k_proj.bias = None if qkv_linear.bias is None else torch.nn.Parameter(qkv_linear.bias[q_size : q_size + kv_size]) - - attention.v_proj = torch.nn.Linear(in_features=q_size, out_features=kv_size) - attention.v_proj.weight = torch.nn.Parameter(qkv_linear.weight[q_size + kv_size :, :]) - attention.v_proj.bias = None if qkv_linear.bias is None else torch.nn.Parameter(qkv_linear.bias[q_size + kv_size :]) + if hasattr(qkv_linear, "base_layer"): + # For LoRA packed `MatMul` + return self.make_attention_unpacked_lora(layer_id, attention, qkv_linear, root_input, **kwargs) + else: + # For regular packed `MatMul` + return self.make_attention_unpacked_regular(layer_id, attention, qkv_linear, root_input, **kwargs) # Delete original packed weights and any references to them (e.g. `del qkv_linear` isn't sufficient) del qkv_linear @@ -1426,6 +1548,72 @@ def make_attention_unpacked(self, layer_id, attention, root_input, **kwargs): else: del attention.query_key_value + def make_attention_unpacked_lora(self, layer_id, attention, qkv_linear, root_input, **kwargs): + from peft.tuners.lora.layer import LoraLayer + + q_size = self.num_attn_heads * self.head_size + kv_size = self.num_kv_heads * self.head_size + + # Create Q/K/V base layers + q_proj = torch.nn.Linear(in_features=q_size, out_features=q_size) + q_proj.weight = torch.nn.Parameter(qkv_linear.weight[: q_size, :], requires_grad=False) + q_proj.bias = None if qkv_linear.bias is None else torch.nn.Parameter(qkv_linear.bias[: q_size], requires_grad=False) + + k_proj = torch.nn.Linear(in_features=q_size, out_features=kv_size) + k_proj.weight = torch.nn.Parameter(qkv_linear.weight[q_size : q_size + kv_size, :], requires_grad=False) + k_proj.bias = None if qkv_linear.bias is None else torch.nn.Parameter(qkv_linear.bias[q_size : q_size + kv_size], requires_grad=False) + + v_proj = torch.nn.Linear(in_features=q_size, out_features=kv_size) + v_proj.weight = torch.nn.Parameter(qkv_linear.weight[q_size + kv_size :, :], requires_grad=False) + v_proj.bias = None if qkv_linear.bias is None else torch.nn.Parameter(qkv_linear.bias[q_size + kv_size :], requires_grad=False) + + # Create Q/K/V lora_B layers + lora_B = qkv_linear.lora_B.default + + q_lora_B = torch.nn.Linear(in_features=q_size, out_features=q_size) + q_lora_B.weight = torch.nn.Parameter(lora_B.weight[: q_size, :], requires_grad=False) + q_lora_B.bias = None if lora_B.bias is None else torch.nn.Parameter(lora_B.bias[: q_size], requires_grad=False) + + k_lora_B = torch.nn.Linear(in_features=q_size, out_features=kv_size) + k_lora_B.weight = torch.nn.Parameter(lora_B.weight[q_size : q_size + kv_size, :], requires_grad=False) + k_lora_B.bias = None if lora_B.bias is None else torch.nn.Parameter(lora_B.bias[q_size : q_size + kv_size], requires_grad=False) + + v_lora_B = torch.nn.Linear(in_features=q_size, out_features=kv_size) + v_lora_B.weight = torch.nn.Parameter(lora_B.weight[q_size + kv_size :, :], requires_grad=False) + v_lora_B.bias = None if lora_B.bias is None else torch.nn.Parameter(lora_B.bias[q_size + kv_size :], requires_grad=False) + + # Create Q/K/V LoRA layers + attention.q_proj = LoraLayer(q_proj) + attention.q_proj.lora_A = qkv_linear.lora_A + attention.q_proj.lora_B.default = q_lora_B + attention.q_proj.scaling = qkv_linear.scaling + + attention.k_proj = LoraLayer(k_proj) + attention.k_proj.lora_A = qkv_linear.lora_A + attention.k_proj.lora_B.default = k_lora_B + attention.k_proj.scaling = qkv_linear.scaling + + attention.v_proj = LoraLayer(v_proj) + attention.v_proj.lora_A = qkv_linear.lora_A + attention.v_proj.lora_B.default = v_lora_B + attention.v_proj.scaling = qkv_linear.scaling + + def make_attention_unpacked_regular(self, layer_id, attention, qkv_linear, root_input, **kwargs): + q_size = self.num_attn_heads * self.head_size + kv_size = self.num_kv_heads * self.head_size + + attention.q_proj = torch.nn.Linear(in_features=q_size, out_features=q_size) + attention.q_proj.weight = torch.nn.Parameter(qkv_linear.weight[: q_size, :], requires_grad=False) + attention.q_proj.bias = None if qkv_linear.bias is None else torch.nn.Parameter(qkv_linear.bias[: q_size], requires_grad=False) + + attention.k_proj = torch.nn.Linear(in_features=q_size, out_features=kv_size) + attention.k_proj.weight = torch.nn.Parameter(qkv_linear.weight[q_size : q_size + kv_size, :], requires_grad=False) + attention.k_proj.bias = None if qkv_linear.bias is None else torch.nn.Parameter(qkv_linear.bias[q_size : q_size + kv_size], requires_grad=False) + + attention.v_proj = torch.nn.Linear(in_features=q_size, out_features=kv_size) + attention.v_proj.weight = torch.nn.Parameter(qkv_linear.weight[q_size + kv_size :, :], requires_grad=False) + attention.v_proj.bias = None if qkv_linear.bias is None else torch.nn.Parameter(qkv_linear.bias[q_size + kv_size :], requires_grad=False) + def make_mlp(self, layer_id, mlp, root_input): if self.mlp_attrs["use_proj"]: self.make_mlp_proj(layer_id, mlp, root_input) @@ -1435,14 +1623,52 @@ def make_mlp(self, layer_id, mlp, root_input): raise NotImplementedError(f"The MLP layer type is not set.") def make_mlp_unpacked(self, layer_id, mlp, root_input): + if hasattr(mlp, "base_layer"): + # For LoRA packed `MatMul` + return self.make_mlp_unpacked_lora(layer_id, mlp, root_input) + else: + # For regular packed `MatMul` + return self.make_mlp_unpacked_regular(layer_id, mlp, root_input) + + def make_mlp_unpacked_lora(self, layer_id, mlp, root_input): + from peft.tuners.lora.layer import LoraLayer + + # Create GateProj/UpProj base layers + gate_proj = torch.nn.Linear(in_features=self.hidden_size, out_features=self.intermediate_size) + gate_proj.weight = torch.nn.Parameter(mlp.gate_up_proj.weight[ : self.intermediate_size, :], requires_grad=False) + + up_proj = torch.nn.Linear(in_features=self.hidden_size, out_features=self.intermediate_size) + up_proj.weight = torch.nn.Parameter(mlp.gate_up_proj.weight[self.intermediate_size :, :], requires_grad=False) + + # Create GateProj/UpProj lora_B layers + lora_B = mlp.lora_B.default + + gate_proj_lora_B = torch.nn.Linear(in_features=self.hidden_size, out_features=self.intermediate_size) + gate_proj_lora_B.weight = torch.nn.Parameter(lora_B.weight[ : self.intermediate_size, :], requires_grad=False) + + up_proj_lora_B = torch.nn.Linear(in_features=self.hidden_size, out_features=self.intermediate_size) + up_proj_lora_B.weight = torch.nn.Parameter(lora_B.weight[self.intermediate_size :, :], requires_grad=False) + + # Create GateProj/UpProj LoRA layers + mlp.gate_proj = LoraLayer(q_proj) + mlp.gate_proj.lora_A = mlp.gate_up_proj.lora_A + mlp.gate_proj.lora_B.default = gate_proj_lora_B + mlp.gate_proj.scaling = mlp.gate_up_proj.scaling + + mlp.up_proj = LoraLayer(k_proj) + mlp.up_proj.lora_A = mlp.gate_up_proj.lora_A + mlp.up_proj.lora_B.default = up_proj_lora_B + mlp.up_proj.scaling = mlp.gate_up_proj.scaling + + def make_mlp_unpacked_regular(self, layer_id, mlp, root_input): + packed_proj = getattr(mlp, "gate_up_proj", None) or getattr(mlp, "dense_h_to_4h", None) mlp.gate_proj = torch.nn.Linear(in_features=self.hidden_size, out_features=self.intermediate_size) - mlp.gate_proj.weight = torch.nn.Parameter(mlp.gate_up_proj.weight[ : self.intermediate_size, :]) + mlp.gate_proj.weight = torch.nn.Parameter(packed_proj.weight[: self.intermediate_size, :]) mlp.up_proj = torch.nn.Linear(in_features=self.hidden_size, out_features=self.intermediate_size) - mlp.up_proj.weight = torch.nn.Parameter(mlp.gate_up_proj.weight[self.intermediate_size :, :]) - + mlp.up_proj.weight = torch.nn.Parameter(packed_proj.weight[self.intermediate_size :, :]) # Delete original packed weights - del mlp.gate_up_proj + del packed_proj def make_mlp_proj(self, layer_id, mlp, root_input): # Make nodes for the MLP subgraph @@ -1472,8 +1698,9 @@ def make_mlp_proj(self, layer_id, mlp, root_input): self.make_mul(mul_name, mul_inputs, dtype=self.io_dtype, shape=["batch_size", "sequence_length", self.intermediate_size]) # Make output MatMul node + down_proj = getattr(mlp, "down_proj", None) or getattr(mlp, "dense_4h_to_h", None) down_basename = f"/model/layers.{layer_id}/mlp/down_proj/MatMul" - down_name = self.make_matmul(mlp.down_proj, down_basename, f"{mul_name}/output_0") + down_name = self.make_matmul(down_proj, down_basename, f"{mul_name}/output_0") # Assign output 0 of previous MatMul as skip input to next SkipLayerNorm self.layernorm_attrs["skip_input"] = f"{down_name}/output_0" @@ -1666,8 +1893,24 @@ def make_gelu(self, layer_id, root_input, activation): return gelu_name + def make_relu(self, layer_id, root_input, activation): + relu_name = f"/model/layers.{layer_id}/mlp/act_fn/{activation}" + output = f"{relu_name}/output_0" + self.make_node(activation, inputs=[root_input], outputs=[output], name=relu_name, domain="") + self.make_value_info(output, self.io_dtype, shape=['batch_size', 'sequence_length', self.intermediate_size]) + return relu_name + + def make_relu_squared(self, layer_id, root_input, activation): + relu_name = self.make_relu(layer_id, root_input, "Relu") + basename = f"/model/layers.{layer_id}/mlp/square/{activation}" + pow_name = f"{basename}/pow" + pow_inputs = [f"{relu_name}/output_0", "/model/constants/TensorProto.INT32/1D/2"] + self.make_node("Pow", inputs=pow_inputs, outputs=[f"{pow_name}/output_0"], name=pow_name, domain="") + self.make_value_info(f"{pow_name}/output_0", self.io_dtype, shape=['batch_size', 'sequence_length', self.intermediate_size]) + return pow_name + def make_activation(self, layer_id, root_input): - if self.activation in {"silu", "swish"}: + if self.activation in {"silu", "swish", "swiglu"}: output_name = self.make_activation_with_mul(layer_id, root_input, activation="Sigmoid", domain=None) elif self.activation in {"gelu_new", "gelu_fast", "gelu_pytorch_tanh"}: output_name = self.make_gelu(layer_id, root_input, activation="FastGelu") @@ -1675,6 +1918,10 @@ def make_activation(self, layer_id, root_input): output_name = self.make_gelu(layer_id, root_input, activation="Gelu") elif self.activation in {"gegelu", "geglu"}: output_name = self.make_gelu(layer_id, root_input, activation="QuickGelu") + elif self.activation in {"relu"}: + output_name = self.make_relu(layer_id, root_input, activation="Relu") + elif self.activation in {"relu2"}: + output_name = self.make_relu_squared(layer_id, root_input, activation="Relu2") else: raise NotImplementedError(f"The {self.activation} activation function is not currently supported.") return output_name @@ -1747,15 +1994,30 @@ def make_model(self, input_path): from onnxruntime_genai.models.quantized_model import QuantModel q_size = self.num_attn_heads * self.head_size kv_size = self.num_kv_heads * self.head_size - model = QuantModel.from_pretrained(self.quant_type, input_path, self.quant_attrs["bits"], self.quant_attrs["group_size"], self.quant_attrs["use_g_idx"], q_size, kv_size, self.intermediate_size, self.num_layers) + model = QuantModel.from_pretrained( + self.quant_type, + input_path, + self.quant_attrs["bits"], + self.quant_attrs["group_size"], + self.quant_attrs["use_g_idx"], + q_size, + kv_size, + self.intermediate_size, + self.num_layers, + ) else: # Load PyTorch model extra_kwargs = {"num_hidden_layers": self.num_layers} if "num_hidden_layers" in self.extra_options else {} - model = AutoModelForCausalLM.from_pretrained(self.model_name_or_path, cache_dir=self.cache_dir, use_auth_token=True, trust_remote_code=True, **extra_kwargs) + model = AutoModelForCausalLM.from_pretrained(self.model_name_or_path, cache_dir=self.cache_dir, token=self.hf_token, trust_remote_code=True, **extra_kwargs) + + if "adapter_path" in self.extra_options: + from peft import PeftModel + model = PeftModel.from_pretrained(model, self.extra_options["adapter_path"], cache_dir=self.cache_dir, token=self.hf_token) # Loop through model and map each module to ONNX/ORT ops self.layer_id = 0 for module in model.modules(): + if isinstance(module, torch.nn.Embedding) or (hasattr(model, "embedding") and module == model.embedding): # Checks (Hugging Face logic) or (GGUF logic) if not self.exclude_embeds: @@ -1767,7 +2029,7 @@ def make_model(self, input_path): self.layernorm_attrs["root_input"] = "inputs_embeds" self.layernorm_attrs["skip_input"] = "inputs_embeds" - elif module.__class__.__name__.endswith("DecoderLayer") and self.layer_id < self.num_layers: + elif (module.__class__.__name__.endswith("DecoderLayer") or module.__class__.__name__.endswith("GLMBlock")) and self.layer_id < self.num_layers: # Each decoder layer of model print(f"Reading decoder layer {self.layer_id}") self.make_layer(self.layer_id, module) @@ -1777,7 +2039,7 @@ def make_model(self, input_path): # SkipLayerNorm after last decoder layer (MatMul --> SkipLayerNorm) print("Reading final norm") self.make_layernorm(self.layer_id, module, skip=True, simple=self.layernorm_attrs["simple"], location="final_norm") - + elif (isinstance(module, torch.nn.Linear) and module.out_features == self.vocab_size) or (hasattr(model, "lm_head") and module == model.lm_head): # Checks (Hugging Face logic) or (GGUF logic) if not self.exclude_lm_head: @@ -1788,12 +2050,13 @@ def make_model(self, input_path): del model def has_final_norm(self, module, model): - # Hugging Face names - hf_norm = hasattr(model, "model") and hasattr(model.model, "norm") and module == model.model.norm - hf_final_layernorm = hasattr(model, "model") and hasattr(model.model, "final_layernorm") and module == model.model.final_layernorm - # GGUF names - gguf_final_norm = hasattr(model, "final_norm") and module == model.final_norm - return hf_norm or hf_final_layernorm or gguf_final_norm + # Hugging Face names + hf_norm = hasattr(model, "model") and hasattr(model.model, "norm") and module == model.model.norm + hf_final_layernorm = hasattr(model, "model") and hasattr(model.model, "final_layernorm") and module == model.model.final_layernorm + hf_transformer_final_layernorm = hasattr(model, "transformer") and hasattr(model.transformer, "encoder") and hasattr(model.transformer.encoder, "final_layernorm") and module == model.transformer.encoder.final_layernorm + # GGUF names + gguf_final_norm = hasattr(model, "final_norm") and module == model.final_norm + return hf_norm or hf_final_layernorm or hf_transformer_final_layernorm or gguf_final_norm def make_preprocessing_nodes(self): self.make_attention_mask_reformatting() @@ -2217,6 +2480,7 @@ def make_position_ids_reformatting(self): # position_ids input for RotaryEmbedding basename = "/model/pos_ids_reformat" + shape_name = f"{basename}/Shape" self.make_shape(shape_name, root_input="input_ids" if not self.exclude_embeds else "inputs_embeds", shape=[2] if not self.exclude_embeds else [3]) gather_name = f"{basename}/Gather" @@ -2369,12 +2633,112 @@ def make_mlp_proj(self, layer_id, mlp, root_input): super().make_mlp_unpacked(layer_id, mlp, root_input) super().make_mlp_proj(layer_id, mlp, root_input) +class NemotronModel(LlamaModel): + def __init__(self, config, io_dtype, onnx_dtype, ep, cache_dir, extra_options): + super().__init__(config, io_dtype, onnx_dtype, ep, cache_dir, extra_options) + self.layernorm_attrs["simple"] = False + self.layernorm_attrs["add_offset"] = 1 + self.rotemb_attrs["rotary_embedding_dim"] = int(self.head_size * self.rotemb_attrs["partial_rotary_factor"]) + + def make_mlp_proj(self, layer_id, mlp, root_input): + # Make nodes for the MLP subgraph + # + # root_input + # | + # UpProjMatMul + # | + # ActFunc + # | + # DownProjMatMul + + up_basename = f"/model/layers.{layer_id}/mlp/up_proj/MatMul" + up_name = self.make_matmul(mlp.up_proj, up_basename, root_input) + + act_fn_name = self.make_activation(layer_id, root_input=f"{up_name}/output_0") + + # Make output MatMul node + down_basename = f"/model/layers.{layer_id}/mlp/down_proj/MatMul" + down_name = self.make_matmul(mlp.down_proj, down_basename, f"{act_fn_name}/output_0") + + # Assign output 0 of previous MatMul as skip input to next SkipLayerNorm + self.layernorm_attrs["skip_input"] = f"{down_name}/output_0" + + def make_attention(self, layer_id, attention, root_input, **kwargs): + attention.rotary_emb = type("RotaryEmbedding", (object,), {'content':{}})() + return super().make_attention(layer_id, attention, root_input, **kwargs) + + def make_rotary_embedding(self, rotemb, name, root_input, **kwargs): + num_heads = self.num_kv_heads if "k_rotary" in name else self.num_attn_heads + super().make_rotary_embedding(rotemb, name, root_input, num_heads=num_heads, rotary_embedding_dim=self.rotemb_attrs["rotary_embedding_dim"], **kwargs) class Phi3Mini128KModel(Phi3Mini4KModel): def __init__(self, config, io_dtype, onnx_dtype, ep, cache_dir, extra_options): super().__init__(config, io_dtype, onnx_dtype, ep, cache_dir, extra_options) self.make_rotary_embedding_multi_cache() + + def make_position_ids_reformatting(self): + if self.ep != "dml": + position_ids_input_to_rotemb = super().make_position_ids_reformatting() + return position_ids_input_to_rotemb + + basename = "/model/pos_ids_reformat" + reduce_max_name = f"{basename}/ReduceMax" + reduce_max_inputs = ["position_ids"] + self.make_reduce_max(reduce_max_name, reduce_max_inputs, dtype=TensorProto.INT64, shape=[1]) + greater_or_equal_name = f"{basename}/GreaterOrEqual" + greater_or_equal_inputs = [f"{reduce_max_name}/output_0", f"/model/constants/TensorProto.INT64/0D/{self.original_context_length}"] + self.make_greater_or_equal(greater_or_equal_name, greater_or_equal_inputs, shape=[]) + cast_name = f"{basename}/Cast" + self.make_cast(cast_name, f"{greater_or_equal_name}/output_0", dtype=TensorProto.INT64, shape=None) + mul_name = f"{basename}/Mul" + mul_inputs = [f"{cast_name}/output_0", f"/model/constants/TensorProto.INT64/0D/{self.original_context_length}"] + self.make_mul(mul_name, mul_inputs, dtype=TensorProto.INT64, shape=None) + add_1_name = f"{basename}/Add_1" + add_1_inputs = [f"{mul_name}/output_0", "position_ids"] + self.make_add(add_1_name, add_1_inputs, dtype=TensorProto.INT64, shape=["batch_size", "sequence_length"]) + + return add_1_name + + def make_rotary_embedding_caches(self, rotemb, **kwargs): + if self.ep != "dml": + cos_cache_name, sin_cache_name = super().make_rotary_embedding_caches(rotemb, **kwargs) + return cos_cache_name, sin_cache_name + cos_cache_name = kwargs.get("cos_cache_name", "cos_cache") + sin_cache_name = kwargs.get("sin_cache_name", "sin_cache") + + if self.rotemb_attrs["create_rotary_embedding_caches"]: + if not hasattr(rotemb, "cos_cached"): + # Create cos/sin caches if not already created + # concate 4k and 128k cos/sin caches for phi3/phi3.5 and dml EP only + cos_cache_large, sin_cache_large = self.make_rotary_embedding_caches_from_scratch() + self.rotemb_attrs["rescale_factors"] = self.rotemb_attrs["multi_cache"]["short_factor"] + self.rotemb_attrs["cache_length"] = self.original_context_length + self.rotemb_attrs["mscale"] = self.rotemb_attrs["multi_cache"]["short_mscale"] + cos_cache_small, sin_cache_small = self.make_rotary_embedding_caches_from_scratch() + cos_cache = torch.cat((cos_cache_small, cos_cache_large), dim=0) + sin_cache = torch.cat((sin_cache_small, sin_cache_large), dim=0) + else: + cos_cache, sin_cache = rotemb.cos_cached, rotemb.sin_cached + + # Reshape cos/sin cache from (M, H) to (M, H/2) + hidden_dim = cos_cache.shape[-1] + cos_cache = cos_cache.squeeze()[:, : (hidden_dim // 2)].detach().numpy() + cos_cache = cos_cache.astype(self.to_numpy_dtype[self.io_dtype]) + sin_cache = sin_cache.squeeze()[:, : (hidden_dim // 2)].detach().numpy() + sin_cache = sin_cache.astype(self.to_numpy_dtype[self.io_dtype]) + + if "cos_cache_name" not in kwargs and "sin_cache_name" not in kwargs: + # Save cos/sin caches to disk + self.make_external_tensor(cos_cache, cos_cache_name) + self.make_external_tensor(sin_cache, sin_cache_name) + else: + # Return cos/sin caches since they will be custom-saved + return cos_cache, sin_cache + + self.rotemb_attrs["create_rotary_embedding_caches"] = False + + return cos_cache_name, sin_cache_name class Phi3Small8KModel(Model): def __init__(self, config, io_dtype, onnx_dtype, ep, cache_dir, extra_options): @@ -2469,16 +2833,16 @@ def make_attention(self, layer_id, attention, root_input, **kwargs): qkv_bias = attention.query_key_value.bias.view(self.num_kv_heads, (self.num_attn_heads // self.num_kv_heads) + 2, self.head_size) attention.q_proj = torch.nn.Linear(in_features=q_size, out_features=q_size) - attention.q_proj.weight = torch.nn.Parameter(qkv_weight[:, :, :-2].reshape(q_size, q_size).T) - attention.q_proj.bias = None if attention.query_key_value.bias is None else torch.nn.Parameter(qkv_bias[:, :-2].flatten()) + attention.q_proj.weight = torch.nn.Parameter(qkv_weight[:, :, :-2].reshape(q_size, q_size).T, requires_grad=False) + attention.q_proj.bias = None if attention.query_key_value.bias is None else torch.nn.Parameter(qkv_bias[:, :-2].flatten(), requires_grad=False) attention.k_proj = torch.nn.Linear(in_features=q_size, out_features=kv_size) - attention.k_proj.weight = torch.nn.Parameter(qkv_weight[:, :, [-2]].reshape(q_size, kv_size).T) - attention.k_proj.bias = None if attention.query_key_value.bias is None else torch.nn.Parameter(qkv_bias[:, [-2]].flatten()) + attention.k_proj.weight = torch.nn.Parameter(qkv_weight[:, :, [-2]].reshape(q_size, kv_size).T, requires_grad=False) + attention.k_proj.bias = None if attention.query_key_value.bias is None else torch.nn.Parameter(qkv_bias[:, [-2]].flatten(), requires_grad=False) attention.v_proj = torch.nn.Linear(in_features=q_size, out_features=kv_size) - attention.v_proj.weight = torch.nn.Parameter(qkv_weight[:, :, [-1]].reshape(q_size, kv_size).T) - attention.v_proj.bias = None if attention.query_key_value.bias is None else torch.nn.Parameter(qkv_bias[:, [-1]].flatten()) + attention.v_proj.weight = torch.nn.Parameter(qkv_weight[:, :, [-1]].reshape(q_size, kv_size).T, requires_grad=False) + attention.v_proj.bias = None if attention.query_key_value.bias is None else torch.nn.Parameter(qkv_bias[:, [-1]].flatten(), requires_grad=False) del qkv_weight del qkv_bias @@ -2616,6 +2980,34 @@ def make_layer(self, layer_id, layer): self.layernorm_attrs["last_layernorm"] = True +class ChatGLMModel(Model): + def __init__(self, config, io_dtype, onnx_dtype, ep, cache_dir, extra_options): + super().__init__(config, io_dtype, onnx_dtype, ep, cache_dir, extra_options) + self.rotemb_attrs["num_heads"] = self.num_attn_heads + self.rotemb_attrs["partial_rotary_factor"] = 0.5 # Line 755 of modeling_chatglm.py check self.rotary_pos_emb declaration + self.rotemb_attrs["rotary_embedding_dim"] = int(self.head_size * self.rotemb_attrs["partial_rotary_factor"]) + self.rotemb_attrs["interleaved"] = 1 + + def make_rotary_embedding(self, rotemb, name, root_input, **kwargs): + super().make_rotary_embedding(rotemb, name, root_input, num_heads=self.rotemb_attrs["num_heads"], rotary_embedding_dim=self.rotemb_attrs["rotary_embedding_dim"], **kwargs) + + def make_attention(self, layer_id, attention, root_input, **kwargs): + if self.quant_type is None: + super().make_attention_unpacked(layer_id, attention, root_input, **kwargs) + # Add dummy rotary_emb attribute + attention.rotary_emb = type("RotaryEmbedding", (object,), {'content':{}})() + return super().make_attention(layer_id, attention, root_input, **kwargs) + + + def make_mlp_proj(self, layer_id, mlp, root_input): + if self.quant_type is None: + super().make_mlp_unpacked(layer_id, mlp, root_input) + super().make_mlp_proj(layer_id, mlp, root_input) + + def make_layer(self, layer_id, layer): + layer.self_attn = layer.self_attn if hasattr(layer, 'self_attn') else layer.self_attention + super().make_layer(layer_id, layer) + def check_extra_options(kv_pairs): if "use_8bits_moe" in kv_pairs: assert(kv_pairs["use_8bits_moe"] == "1" or kv_pairs["use_8bits_moe"] == "0"), "use_8bits_moe must be 0 or 1." @@ -2640,6 +3032,23 @@ def parse_extra_options(kv_items): return kv_pairs +def parse_hf_token(hf_token): + """ + Returns the authentication token needed for Hugging Face. + Token is obtained either from the user or the environment. + """ + if hf_token.lower() in {"false", "0"}: + # Default is `None` for disabling authentication + return None + + if hf_token.lower() in {"true", "1"}: + # Return token in environment + return True + + # Return user-provided token as string + return hf_token + + def create_model(model_name, input_path, output_dir, precision, execution_provider, cache_dir, **extra_options): # Create cache and output directories os.makedirs(output_dir, exist_ok=True) @@ -2648,7 +3057,13 @@ def create_model(model_name, input_path, output_dir, precision, execution_provid # Load model config extra_kwargs = {} if os.path.isdir(input_path) else {"cache_dir": cache_dir} hf_name = input_path if os.path.isdir(input_path) else model_name - config = AutoConfig.from_pretrained(hf_name, use_auth_token=True, trust_remote_code=True, **extra_kwargs) + hf_token = parse_hf_token(extra_options.get("hf_token", "true")) + + config = AutoConfig.from_pretrained(hf_name, token=hf_token, trust_remote_code=True, **extra_kwargs) + if "adapter_path" in extra_options: + from peft import PeftConfig + peft_config = PeftConfig.from_pretrained(extra_options["adapter_path"], token=hf_token, trust_remote_code=True, **extra_kwargs) + config.update(peft_config.__dict__) # Set input/output precision of ONNX model io_dtype = TensorProto.FLOAT if precision in {"int8", "fp32"} or (precision == "int4" and execution_provider == "cpu") else TensorProto.FLOAT16 @@ -2685,6 +3100,12 @@ def create_model(model_name, input_path, output_dir, precision, execution_provid onnx_model = Phi3VModel(config, io_dtype, precision, execution_provider, cache_dir, extra_options) elif config.architectures[0] == "Qwen2ForCausalLM": onnx_model = QwenModel(config, io_dtype, precision, execution_provider, cache_dir, extra_options) + elif config.architectures[0] == "NemotronForCausalLM": + onnx_model = NemotronModel(config, io_dtype, precision, execution_provider, cache_dir, extra_options) + elif config.architectures[0] == "ChatGLMForConditionalGeneration" or config.architectures[0] == "ChatGLMModel": + # Quantized ChatGLM model has ChatGLMForConditionalGeneration as architecture whereas HF model as the latter + config.hidden_act = "swiglu" + onnx_model = ChatGLMModel(config, io_dtype, precision, execution_provider, cache_dir, extra_options) else: raise NotImplementedError(f"The {hf_name} model is not currently supported.") @@ -2745,7 +3166,7 @@ def get_args(): "-e", "--execution_provider", required=True, - choices=["cpu", "cuda", "dml", "web"], + choices=["cpu", "cuda", "rocm", "dml", "web"], help="Execution provider to target with precision of model (e.g. FP16 CUDA, INT4 CPU, INT4 WEB)", ) @@ -2787,6 +3208,10 @@ def get_args(): is the prerequisite for the CUDA graph to be used correctly. It is not guaranteed that cuda graph be enabled as it depends on the model and the graph structure. use_8bits_moe = 1 : Use 8-bit quantization for MoE layers. Default is using 4-bit quantization. + hf_token = false/token: Use this to disable authentication with Hugging Face or provide a custom authentication token that differs from the one stored in your environment. Default behavior is to use the authentication token stored by `huggingface-cli login`. + If you have already authenticated via `huggingface-cli login`, you do not need to use this flag because Hugging Face has already stored your authentication token for you. + use_qdq = 1 : Use the QDQ decomposition for quantized MatMul instead of the MatMulNBits operator. + adapter_path = Path to folder on disk containing the adapter files (adapter_config.json and adapter model weights). """), ) diff --git a/src/python/py/models/quantized_model.py b/src/python/py/models/quantized_model.py index f15f21cb9..b41b16d90 100644 --- a/src/python/py/models/quantized_model.py +++ b/src/python/py/models/quantized_model.py @@ -3,6 +3,7 @@ # Licensed under the MIT License. See License.txt in the project root for # license information. # -------------------------------------------------------------------------- +# Modifications Copyright(C) 2024 Advanced Micro Devices, Inc. All rights reserved """ A set of Python classes to unpack the quantized weights and repack them in ONNX Runtime's standard format. @@ -102,18 +103,24 @@ def __init__(self, quant_type, input_path, bits, group_size, q_size, kv_size, in if tensor.dtype == torch.bfloat16: # Cast bfloat16 to float32 since NumPy does not support bfloat16 tensor = tensor.to(torch.float32) - - if name == "model.embed_tokens.weight": + if name == "model.embed_tokens.weight" or name == "transformer.embedding.word_embeddings.weight": self.embedding.weight = tensor - elif name == "model.norm.weight": + elif name == "model.norm.weight" or name == "transformer.encoder.final_layernorm.weight": self.final_norm.weight = tensor - elif name == "model.norm.bias": + elif name == "model.norm.bias" or name == "transformer.encoder.final_layernorm.bias": self.final_norm.bias = tensor - elif name == "lm_head.weight": + elif name == "lm_head.weight" or name == "transformer.output_layer.weight": self.lm_head.weight = tensor - elif name == "lm_head.bias": + elif name == "lm_head.bias" or name == "transformer.output_layer.bias": self.lm_head.bias = tensor + elif name == "transformer.rotary_pos_emb.inv_freq": + # transformer.rotary_pos_emb.inv_freq in ChatGLM3. + # Skip rotary embedding weights since they can be re-calculated when looping through the model + continue else: + if name.startswith("transformer.encoder"): + # Chatglm3, e.g., transformer.encoder.layers.0.input_layernorm.weight + name = name.replace("transformer.encoder", "model") curr_layer_id = int(name.split(".")[2]) if curr_layer_id != layer_id: # Switch layer module used @@ -177,20 +184,25 @@ def __init__(self, quant_type, input_path, bits, group_size, q_size, kv_size, in elif bool(re.match(r"^model.layers\.\d+\.self_attn.v_proj\.bias$", name)): # model.layers.layer_id.self_attn.v_proj.bias module.self_attn.v_proj.bias = tensor - elif bool(re.match(r"^model.layers\.\d+\.self_attn.o_proj\.qweight$", name)): + elif bool(re.match(r"^model.layers\.\d+\.(self_attn.o_proj|self_attention.dense)\.qweight$", name)): # model.layers.layer_id.self_attn.o_proj.qweight + # model.layers.layer_id.self_attention.dense.qweight module.self_attn.o_proj.qweight = tensor - elif bool(re.match(r"^model.layers\.\d+\.self_attn.o_proj\.scales$", name)): + elif bool(re.match(r"^model.layers\.\d+\.(self_attn.o_proj|self_attention.dense)\.scales$", name)): # model.layers.layer_id.self_attn.o_proj.scales + # model.layers.layer_id.self_attention.dense.scales module.self_attn.o_proj.scales = tensor - elif bool(re.match(r"^model.layers\.\d+\.self_attn.o_proj\.qzeros$", name)): + elif bool(re.match(r"^model.layers\.\d+\.(self_attn.o_proj|self_attention.dense)\.qzeros$", name)): # model.layers.layer_id.self_attn.o_proj.qzeros + # model.layers.layer_id.self_attention.dense.qzeros module.self_attn.o_proj.qzeros = tensor - elif bool(re.match(r"^model.layers\.\d+\.self_attn.o_proj\.g_idx$", name)): + elif bool(re.match(r"^model.layers\.\d+\.(self_attn.o_proj|self_attention.dense)\.g_idx$", name)): # model.layers.layer_id.self_attn.o_proj.g_idx + # model.layers.layer_id.self_attention.dense.g_idx module.self_attn.o_proj.g_idx = tensor - elif bool(re.match(r"^model.layers\.\d+\.self_attn.o_proj\.bias$", name)): + elif bool(re.match(r"^model.layers\.\d+\.(self_attn.o_proj|self_attention.dense)\.bias$", name)): # model.layers.layer_id.self_attn.o_proj.bias + # model.layers.layer_id.self_attention.dense.bias module.self_attn.o_proj.bias = tensor elif bool(re.match(r"^model.layers\.\d+\.post_attention_layernorm\.weight$", name)): # model.layers.layer_id.post_attention_layernorm.weight @@ -228,64 +240,88 @@ def __init__(self, quant_type, input_path, bits, group_size, q_size, kv_size, in elif bool(re.match(r"^model.layers\.\d+\.mlp.up_proj\.bias$", name)): # model.layers.layer_id.mlp.up_proj.bias module.mlp.up_proj.bias = tensor - elif bool(re.match(r"^model.layers\.\d+\.mlp.down_proj\.qweight$", name)): + elif bool(re.match(r"^model.layers\.\d+\.mlp.(down_proj|dense_4h_to_h)\.qweight$", name)): # model.layers.layer_id.mlp.down_proj.qweight + # model.layers.layer_id.mlp.dense_4h_to_h.qweight module.mlp.down_proj.qweight = tensor - elif bool(re.match(r"^model.layers\.\d+\.mlp.down_proj\.scales$", name)): + elif bool(re.match(r"^model.layers\.\d+\.mlp.(down_proj|dense_4h_to_h)\.scales$", name)): # model.layers.layer_id.mlp.down_proj.scales + # model.layers.layer_id.mlp.dense_4h_to_h.scales module.mlp.down_proj.scales = tensor - elif bool(re.match(r"^model.layers\.\d+\.mlp.down_proj\.qzeros$", name)): + elif bool(re.match(r"^model.layers\.\d+\.mlp.(down_proj|dense_4h_to_h)\.qzeros$", name)): # model.layers.layer_id.mlp.down_proj.qzeros + # model.layers.layer_id.mlp.dense_4h_to_h.qzeros module.mlp.down_proj.qzeros = tensor - elif bool(re.match(r"^model.layers\.\d+\.mlp.down_proj\.g_idx$", name)): + elif bool(re.match(r"^model.layers\.\d+\.mlp.(down_proj|dense_4h_to_h)\.g_idx$", name)): # model.layers.layer_id.mlp.down_proj.g_idx + # model.layers.layer_id.mlp.dense_4h_to_h.g_idx module.mlp.down_proj.g_idx = tensor - elif bool(re.match(r"^model.layers\.\d+\.mlp.down_proj\.bias$", name)): + elif bool(re.match(r"^model.layers\.\d+\.mlp.(down_proj|dense_4h_to_h)\.bias$", name)): # model.layers.layer_id.mlp.down_proj.bias + # model.layers.layer_id.mlp.dense_4h_to_h.bias module.mlp.down_proj.bias = tensor # Match against fused layers - elif bool(re.match(r"^model.layers\.\d+\.self_attn.qkv_proj\.qweight$", name)): + elif bool(re.match(r"^model.layers\.\d+\.(self_attn.qkv_proj|self_attention.query_key_value)\.qweight$", name)): # model.layers.layer_id.self_attn.qkv_proj.qweight + # model.layers.layer_id.self_attention.query_key_value.qweight q_dim = q_size // (32 // bits) if quant_type == "awq" else q_size kv_dim = kv_size // (32 // bits) if quant_type == "awq" else kv_size module.self_attn.q_proj.qweight = tensor[:, : q_dim] module.self_attn.k_proj.qweight = tensor[:, q_dim : q_dim + kv_dim] module.self_attn.v_proj.qweight = tensor[:, q_dim + kv_dim :] - elif bool(re.match(r"^model.layers\.\d+\.self_attn.qkv_proj\.scales$", name)): + elif bool(re.match(r"^model.layers\.\d+\.(self_attn.qkv_proj|self_attention.query_key_value)\.scales$", name)): # model.layers.layer_id.self_attn.qkv_proj.scales + # model.layers.layer_id.self_attention.query_key_value.scales module.self_attn.q_proj.scales = tensor[:, : q_size] module.self_attn.k_proj.scales = tensor[:, q_size : q_size + kv_size] module.self_attn.v_proj.scales = tensor[:, q_size + kv_size :] - elif bool(re.match(r"^model.layers\.\d+\.self_attn.qkv_proj\.qzeros$", name)): + elif bool(re.match(r"^model.layers\.\d+\.(self_attn.qkv_proj|self_attention.query_key_value)\.qzeros$", name)): # model.layers.layer_id.self_attn.qkv_proj.qzeros + # model.layers.layer_id.self_attention.query_key_value.qzeros q_dim = q_size // (32 // bits) if quant_type in {"awq", "gptq"} else q_size kv_dim = kv_size // (32 // bits) if quant_type in {"awq", "gptq"} else kv_size module.self_attn.q_proj.qzeros = tensor[:, : q_dim] module.self_attn.k_proj.qzeros = tensor[:, q_dim : q_dim + kv_dim] module.self_attn.v_proj.qzeros = tensor[:, q_dim + kv_dim :] - elif bool(re.match(r"^model.layers\.\d+\.self_attn.qkv_proj\.g_idx$", name)): - # model.layers.layer_id.self_attn.qkv_proj.g_ix + elif bool(re.match(r"^model.layers\.\d+\.(self_attn.qkv_proj|self_attention.query_key_value)\.g_idx$", name)): + # model.layers.layer_id.self_attn.qkv_proj.g_idx + # model.layers.layer_id.self_attention.query_key_value.g_idx module.self_attn.q_proj.g_idx = tensor module.self_attn.k_proj.g_idx = tensor module.self_attn.v_proj.g_idx = tensor - elif bool(re.match(r"^model.layers\.\d+\.mlp.gate_up_proj\.qweight$", name)): + elif bool(re.match(r"^model.layers\.\d+\.(self_attn.qkv_proj|self_attention.query_key_value)\.bias$", name)): + # model.layers.layer_id.self_attn.qkv_proj.bias + # model.layers.layer_id.self_attention.query_key_value.bias + module.self_attn.q_proj.bias = tensor[: q_size] + module.self_attn.k_proj.bias = tensor[q_size : q_size + kv_size] + module.self_attn.v_proj.bias = tensor[q_size + kv_size : ] + elif bool(re.match(r"^model.layers\.\d+\.mlp.(gate_up_proj|dense_h_to_4h)\.qweight$", name)): # model.layers.layer_id.mlp.gate_up_proj.qweight + # model.layers.layer_id.mlp.dense_h_to_4h.qweight intermediate_dim = intermediate_size // (32 // bits) if quant_type == "awq" else intermediate_size module.mlp.gate_proj.qweight = tensor[:, : intermediate_dim] module.mlp.up_proj.qweight = tensor[:, intermediate_dim :] - elif bool(re.match(r"^model.layers\.\d+\.mlp.gate_up_proj\.scales$", name)): + elif bool(re.match(r"^model.layers\.\d+\.mlp.(gate_up_proj|dense_h_to_4h)\.scales$", name)): # model.layers.layer_id.mlp.gate_up_proj.scales + # model.layers.layer_id.mlp.dense_h_to_4h.scales module.mlp.gate_proj.scales = tensor[:, : intermediate_size] module.mlp.up_proj.scales = tensor[:, intermediate_size :] - elif bool(re.match(r"^model.layers\.\d+\.mlp.gate_up_proj\.qzeros$", name)): + elif bool(re.match(r"^model.layers\.\d+\.mlp.(gate_up_proj|dense_h_to_4h)\.qzeros$", name)): # model.layers.layer_id.mlp.gate_up_proj.qzeros + # model.layers.layer_id.mlp.dense_h_to_4h.qzeros intermediate_dim = intermediate_size // (32 // bits) if quant_type in {"awq", "gptq"} else intermediate_size module.mlp.gate_proj.qzeros = tensor[:, : intermediate_dim] module.mlp.up_proj.qzeros = tensor[:, intermediate_dim :] - elif bool(re.match(r"^model.layers\.\d+\.mlp.gate_up_proj\.g_idx$", name)): + elif bool(re.match(r"^model.layers\.\d+\.mlp.(gate_up_proj|dense_h_to_4h)\.g_idx$", name)): # model.layers.layer_id.mlp.gate_up_proj.g_idx + # model.layers.layer_id.mlp.dense_h_to_4h.g_idx module.mlp.gate_proj.g_idx = tensor module.mlp.up_proj.g_idx = tensor + elif bool(re.match(r"^model.layers\.\d+\.mlp.(gate_up_proj|dense_h_to_4h)\.bias$", name)): + # model.layers.layer_id.mlp.gate_up_proj.bias + # model.layers.layer_id.mlp.dense_h_to_4h.bias + module.mlp.gate_proj.bias = tensor[: intermediate_size] + module.mlp.down_proj.bias = tensor[intermediate_size: ] else: raise NotImplementedError(f"{name} in your quantized model is not recognized.") @@ -295,7 +331,7 @@ def __init__(self, quant_type, input_path, bits, group_size, q_size, kv_size, in self.lm_head.weight = self.embedding.weight if self.lm_head.bias is not None: self.lm_head.bias = self.embedding.bias - + # Sort list of layers by layer id self.layers = list(self.layers.values()) self.layers.sort(key=lambda m: m.layer_id) @@ -459,7 +495,7 @@ def dequant_weight(self, module): scale_mat = scales[g_idx] scale_zeros_mat = scale_zeros[g_idx] qdq_weight_T = intweight * scale_mat - scale_zeros_mat.half() - + # Store unpacked result in `qweight` module.qweight = qdq_weight_T.T @@ -484,8 +520,8 @@ def pack_ort_format(self, module, intweight): Pack `scales`, `qzeros`, and `qweight` to ORT format """ if module.bits != 4: - raise NotImplementedError(f"{modue.bits}-bit quantization in ORT is not currently supported by this tool.") - + raise NotImplementedError(f"{module.bits}-bit quantization in ORT is not currently supported by this tool.") + intzeros_pt = module.qzeros.T if module.qzeros.dtype == module.scales.dtype else module.qzeros.T.byte() intweight_pt = intweight.byte() block_size = module.group_size @@ -528,7 +564,8 @@ def __init__(self, quant_type, input_path, bits, group_size, q_size, kv_size, in print(f"Unpacking and repacking layer {i}") # Unpack and repack all `QuantizedTensorModule` classes in attention - for name, q_tensors in layer.self_attn.__dict__.items(): + self_attn = getattr(layer, "self_attn", None) or getattr(layer, "self_attention", None) + for name, q_tensors in self_attn.__dict__.items(): if isinstance(q_tensors, QuantizedTensorModule) and q_tensors.qweight is not None: self.unpack(q_tensors) self.repack(q_tensors) @@ -656,4 +693,4 @@ def from_pretrained(quant_type, input_path, bits, group_size, use_g_idx, q_size, else: raise NotImplementedError(f"The {quant_type} quantized model is not currently supported.") - return model \ No newline at end of file + return model diff --git a/src/python/python.cpp b/src/python/python.cpp index 01534bf2c..06e9b8e3c 100644 --- a/src/python/python.cpp +++ b/src/python/python.cpp @@ -40,7 +40,7 @@ std::span ToSpan(pybind11::array_t v) { template pybind11::array_t ToPython(std::span v) { - return pybind11::array_t(v.size(), v.data()); + return pybind11::array_t{{v.size()}, {sizeof(T)}, v.data()}; } ONNXTensorElementDataType ToTensorType(const pybind11::dtype& type) { @@ -203,6 +203,23 @@ struct PyRoamingArray : RoamingArray { pybind11::array_t py_cpu_array_; }; +template +struct PyDeviceMemorySpan { + void operator=(DeviceMemorySpan span) { + span_ = std::move(span); + } + + pybind11::array_t GetNumpy() { + auto v = span_.CpuSpan(); + py_cpu_array_ = pybind11::array_t({v.size()}, {sizeof(T)}, v.data(), pybind11::capsule(v.data(), [](void*) {})); + return py_cpu_array_; + } + + private: + DeviceMemorySpan span_; + pybind11::array_t py_cpu_array_; +}; + template void Declare_DeviceArray(pybind11::module& m, const char* name) { using Type = PyRoamingArray; @@ -239,6 +256,9 @@ struct PyGeneratorParams { if (py_whisper_input_features_.size() != 0) { GeneratorParams::Whisper& whisper = params_->inputs.emplace(); whisper.input_features = std::make_shared(ToOrtValue(py_whisper_input_features_)); + if (py_alignment_heads_.size() != 0) { + whisper.alignment_heads = std::make_shared(ToOrtValue(py_alignment_heads_)); + } } } @@ -275,7 +295,8 @@ struct PyGeneratorParams { } pybind11::array_t py_input_ids_; - pybind11::array_t py_whisper_input_features_; + pybind11::array py_whisper_input_features_; + pybind11::array py_alignment_heads_; std::vector refs_; // References to data we want to ensure doesn't get garbage collected }; @@ -299,8 +320,8 @@ struct PyGenerator { } pybind11::array_t GetSequence(int index) { - py_sequence_.Assign(generator_->search_->GetSequence(index)); - return ToPython(py_sequence_.GetCPU()); + py_sequence_ = generator_->search_->GetSequence(index); + return py_sequence_.GetNumpy(); } void ComputeLogits() { @@ -311,6 +332,16 @@ struct PyGenerator { return ToNumpy(generator_->state_->GetOutput(name.c_str()), *(generator_->model_)); } + pybind11::array_t GetLogits() { + py_logits_.Assign(generator_->search_->GetLogits()); + return ToPython(py_logits_.GetCPU()); + } + + void SetLogits(pybind11::array_t logits) { + logits_ = logits; + generator_->search_->SetLogits(cpu_span{ToSpan(logits_)}); + } + void GenerateNextToken() { generator_->GenerateNextToken(); } @@ -319,12 +350,18 @@ struct PyGenerator { return generator_->IsDone(); } + void SetActiveAdapter(Adapters* adapters, const std::string& adapter_name) { + generator_->state_->SetActiveAdapter(adapters, adapter_name); + } + private: std::unique_ptr generator_; PyRoamingArray py_tokens_; PyRoamingArray py_indices_; - PyRoamingArray py_sequence_; + PyDeviceMemorySpan py_sequence_; PyRoamingArray py_sequencelengths_; + PyRoamingArray py_logits_; + pybind11::array_t logits_; // Logits passed in from python, to keep the memory alive }; void SetLogOptions(const pybind11::kwargs& dict) { @@ -371,11 +408,14 @@ PYBIND11_MODULE(onnxruntime_genai, m) { pybind11::class_(m, "GeneratorParams") .def(pybind11::init()) - .def_property_readonly("pad_token_id", [](const PyGeneratorParams& v) { return v.params_->pad_token_id; }) - .def_property_readonly("eos_token_id", [](const PyGeneratorParams& v) { return v.params_->eos_token_id; }) - .def_property_readonly("vocab_size", [](const PyGeneratorParams& v) { return v.params_->vocab_size; }) + // TODO(ryanhill): Remove these entirely or replace with a single property that returns the entire config? + .def_property_readonly("pad_token_id", [](const PyGeneratorParams& v) { return v.params_->config.model.pad_token_id; }) + .def_property_readonly("eos_token_id", [](const PyGeneratorParams& v) { return v.params_->config.model.eos_token_id; }) + .def_property_readonly("vocab_size", [](const PyGeneratorParams& v) { return v.params_->config.model.vocab_size; }) .def_readwrite("input_ids", &PyGeneratorParams::py_input_ids_) + // TODO(baijumeswani): Rename/redesign the whisper_input_features to be more generic .def_readwrite("whisper_input_features", &PyGeneratorParams::py_whisper_input_features_) + .def_readwrite("alignment_heads", &PyGeneratorParams::py_alignment_heads_) .def("set_inputs", [](PyGeneratorParams& generator_params, PyNamedTensors* named_tensors) { if (!named_tensors || !named_tensors->named_tensors_) throw std::runtime_error("No inputs provided."); @@ -393,6 +433,7 @@ PYBIND11_MODULE(onnxruntime_genai, m) { pybind11::class_>(m, "Tokenizer") .def(pybind11::init([](Model& model) { return model.CreateTokenizer(); })) .def("encode", &Tokenizer::Encode) + .def("to_token_id", &Tokenizer::TokenToTokenId) .def("decode", [](const Tokenizer& t, pybind11::array_t tokens) { return t.Decode(ToSpan(tokens)); }) .def("encode_batch", [](const Tokenizer& t, std::vector strings) { auto result = t.EncodeBatch(strings); @@ -424,9 +465,14 @@ PYBIND11_MODULE(onnxruntime_genai, m) { .def("is_done", &PyGenerator::IsDone) .def("compute_logits", &PyGenerator::ComputeLogits) .def("get_output", &PyGenerator::GetOutput) + .def("get_logits", &PyGenerator::GetLogits) + .def("set_logits", &PyGenerator::SetLogits) .def("generate_next_token", &PyGenerator::GenerateNextToken) .def("get_next_tokens", &PyGenerator::GetNextTokens) - .def("get_sequence", &PyGenerator::GetSequence); + .def("get_sequence", &PyGenerator::GetSequence) + .def("set_active_adapter", [](PyGenerator& generator, Adapters* adapters, const std::string& adapter_name) { + generator.SetActiveAdapter(adapters, adapter_name); + }); pybind11::class_(m, "Images") .def_static("open", [](pybind11::args image_paths) { @@ -461,30 +507,65 @@ PYBIND11_MODULE(onnxruntime_genai, m) { return std::make_unique(std::move(image_raw_data), image_datas.size()); }); + pybind11::class_(m, "Audios") + .def_static("open", [](pybind11::args audio_paths) { + if (audio_paths.empty()) + throw std::runtime_error("No audios provided"); + + std::vector audio_paths_string; + std::vector audio_paths_vector; + + for (const auto& audio_path : audio_paths) { + if (!pybind11::isinstance(audio_path)) + throw std::runtime_error("Audio paths must be strings."); + audio_paths_string.push_back(audio_path.cast()); + audio_paths_vector.push_back(audio_paths_string.back().c_str()); + } + + return LoadAudios(audio_paths_vector); + }); + pybind11::class_(m, "NamedTensors"); pybind11::class_>(m, "MultiModalProcessor") - .def("__call__", [](MultiModalProcessor& processor, const std::string& prompt, const pybind11::kwargs& kwargs) -> std::unique_ptr { - if (kwargs.contains("images")) { - if (processor.image_processor_ == nullptr) { - throw std::runtime_error("Image processor is not available for this model."); - } - const Images* images = kwargs["images"].cast(); - return std::make_unique(processor.image_processor_->Process(*processor.tokenizer_, prompt, images)); - } else { - throw std::runtime_error("MultiModalProcessor cannot process this request. Nothing to process."); - } - }) + .def( + "__call__", [](MultiModalProcessor& processor, const std::optional& prompt, const pybind11::kwargs& kwargs) -> std::unique_ptr { + if (kwargs.contains("images")) { + if (processor.image_processor_ == nullptr) { + throw std::runtime_error("Image processor is not available for this model."); + } + const Images* images = kwargs["images"].cast(); + if (!prompt.has_value()) { + throw std::runtime_error("Prompt is required for processing the image."); + } + return std::make_unique( + processor.image_processor_->Process(*processor.tokenizer_, *prompt, images)); + } else if (kwargs.contains("audios")) { + const Audios* audios = kwargs["audios"].cast(); + return std::make_unique( + processor.audio_processor_->Process(audios)); + } else { + throw std::runtime_error("Nothing to process."); + } + }, + pybind11::arg("prompt") = pybind11::none()) .def("create_stream", [](MultiModalProcessor& processor) { return processor.tokenizer_->CreateStream(); }) .def("decode", [](MultiModalProcessor& processor, pybind11::array_t tokens) { return processor.tokenizer_->Decode(ToSpan(tokens)); }); + pybind11::class_>(m, "Adapters") + .def(pybind11::init([](Model& model) { + return std::make_shared(&model); + })) + .def("load", &Adapters::LoadAdapter); + m.def("set_log_options", &SetLogOptions); m.def("is_cuda_available", []() { return USE_CUDA != 0; }); m.def("is_dml_available", []() { return USE_DML != 0; }); m.def("is_rocm_available", []() { return USE_ROCM != 0; }); + m.def("is_webgpu_available", []() { return USE_WEBGPU != 0; }); m.def("set_current_gpu_device_id", [](int device_id) { Ort::SetCurrentGpuDeviceId(device_id); }); m.def("get_current_gpu_device_id", []() { return Ort::GetCurrentGpuDeviceId(); }); diff --git a/src/python/setup.py.in b/src/python/setup.py.in index b08c200d6..6df075952 100644 --- a/src/python/setup.py.in +++ b/src/python/setup.py.in @@ -26,22 +26,21 @@ package_name = '@TARGET_NAME@' def _onnxruntime_dependency() -> str: dependency = None # Use stable version as default - ort_version = os.environ.get("ONNXRUNTIME_VERSION", "1.19.0") - is_nightly = True if "dev" in ort_version else False + ort_version = os.environ.get("ONNXRUNTIME_VERSION", "1.20.0") if package_name == "onnxruntime-genai": - dependency = "onnxruntime" if not is_nightly else "ort-nightly" + dependency = "onnxruntime" import platform # win arm64 whls are only available in onnxruntime-qnn if platform.machine() == "ARM64" and sys.platform.startswith("win"): - dependency = "onnxruntime-qnn" if not is_nightly else "ort-nightly-qnn" + dependency = "onnxruntime-qnn" elif package_name == "onnxruntime-genai-cuda": - dependency = "onnxruntime-gpu" if not is_nightly else "ort-nightly-gpu" + dependency = "onnxruntime-gpu" elif package_name == "onnxruntime-genai-directml": - dependency = "onnxruntime-directml" if not is_nightly else "ort-nightly-directml" + dependency = "onnxruntime-directml" elif package_name == "onnxruntime-genai-rocm": - dependency = "onnxruntime-rocm" if not is_nightly else "ort-nightly-rocm" + dependency = "onnxruntime-rocm" else: raise ValueError(f'Unable to determine the onnxruntime dependency for {package_name}.') diff --git a/src/runtime_settings.cpp b/src/runtime_settings.cpp new file mode 100644 index 000000000..c6a64c854 --- /dev/null +++ b/src/runtime_settings.cpp @@ -0,0 +1,43 @@ +#include "runtime_settings.h" + +namespace Generators { + +std::unique_ptr CreateRuntimeSettings() { + return std::make_unique(); +} + +std::string RuntimeSettings::GenerateConfigOverlay() const { + // #if USE_WEBGPU + constexpr std::string_view webgpu_overlay_pre = R"({ + "model": { + "decoder": { + "session_options": { + "provider_options": [ + { + "webgpu": { + "dawnProcTable": ")"; + constexpr std::string_view webgpu_overlay_post = R"(" + } + } + ] + } + } + } +} +)"; + + auto it = handles_.find("dawnProcTable"); + if (it != handles_.end()) { + void* dawn_proc_table_handle = it->second; + std::string overlay; + overlay.reserve(webgpu_overlay_pre.size() + webgpu_overlay_post.size() + 20); // Optional small optimization of buffer size + overlay += webgpu_overlay_pre; + overlay += std::to_string((size_t)(dawn_proc_table_handle)); + overlay += webgpu_overlay_post; + return overlay; + } + + return {}; +} + +} // namespace Generators \ No newline at end of file diff --git a/src/runtime_settings.h b/src/runtime_settings.h new file mode 100644 index 000000000..c5d76d526 --- /dev/null +++ b/src/runtime_settings.h @@ -0,0 +1,20 @@ +#pragma once + +#include +#include +#include + +namespace Generators { + +// This struct should only be used for runtime settings that are not able to be put into config. +struct RuntimeSettings { + RuntimeSettings() = default; + + std::string GenerateConfigOverlay() const; + + std::unordered_map handles_; +}; + +std::unique_ptr CreateRuntimeSettings(); + +} // namespace Generators \ No newline at end of file diff --git a/src/search.cpp b/src/search.cpp index d7a9d3c69..65392c9b3 100644 --- a/src/search.cpp +++ b/src/search.cpp @@ -41,6 +41,10 @@ BeamSearch_Cpu::BeamSearch_Cpu(const GeneratorParams& params) BeamSearch_Cpu::~BeamSearch_Cpu() = default; +RoamingArray Search_Cpu::GetLogits() const { + return next_token_scores_; +} + void Search_Cpu::SetLogits(RoamingArray logits_unk) { next_token_scores_ = logits_unk.GetCPU(); } @@ -64,7 +68,7 @@ int Search_Cpu::GetSequenceLength() const { void BeamSearch_Cpu::SelectTop() { // Normalize next token scores for (int i = 0; i < params_->BatchBeamSize(); i++) { - std::span const scores = next_token_scores_.subspan(static_cast(i) * static_cast(params_->vocab_size), params_->vocab_size); + std::span const scores = next_token_scores_.subspan(static_cast(i) * static_cast(params_->config.model.vocab_size), params_->config.model.vocab_size); LogSoftMax(scores, 1.0); } @@ -77,7 +81,7 @@ void BeamSearch_Cpu::SelectTop() { int batch_beam_index = 0; for (int i = 0; i < params_->batch_size; i++) { for (int j = 0; j < params_->search.num_beams; j++, batch_beam_index++) { - for (int k = 0; k < params_->vocab_size; k++, offset++) { + for (int k = 0; k < params_->config.model.vocab_size; k++, offset++) { next_token_scores_[offset] += beam_scores[batch_beam_index]; } } @@ -103,7 +107,7 @@ void BeamSearch_Cpu::SelectTop() { // TODO(aciddelgado): Optimize this top k with partial sort for (size_t batch_index = 0; batch_index < static_cast(params_->batch_size); batch_index++) { std::priority_queue> queue; - auto token_scores_sub = next_token_scores_.subspan(batch_index * params_->search.num_beams * params_->vocab_size, static_cast(params_->search.num_beams) * params_->vocab_size); + auto token_scores_sub = next_token_scores_.subspan(batch_index * params_->search.num_beams * params_->config.model.vocab_size, static_cast(params_->search.num_beams) * params_->config.model.vocab_size); for (int i = 0; i < token_scores_sub.size(); i++) { queue.push({token_scores_sub[i], i}); } @@ -113,8 +117,8 @@ void BeamSearch_Cpu::SelectTop() { auto next_scores_sub = next_scores.subspan(top_k * batch_index, top_k); for (unsigned i = 0; i < top_k; i++) { auto v = queue.top(); - next_indices_sub[i] = v.index / params_->vocab_size; - next_tokens_sub[i] = v.index % params_->vocab_size; + next_indices_sub[i] = v.index / params_->config.model.vocab_size; + next_tokens_sub[i] = v.index % params_->config.model.vocab_size; next_scores_sub[i] = v.score; queue.pop(); } @@ -139,7 +143,7 @@ void GreedySearch_Cpu::SelectTop() { continue; } - std::span const scores = next_token_scores_.subspan(batch_id * params_->vocab_size, params_->vocab_size); + std::span const scores = next_token_scores_.subspan(batch_id * params_->config.model.vocab_size, params_->config.model.vocab_size); auto const token = static_cast(std::distance(scores.begin(), std::max_element(scores.begin(), scores.end()))); SetNextToken(batch_id, token); } @@ -149,7 +153,7 @@ void GreedySearch_Cpu::SelectTop() { void GreedySearch_Cpu::SampleTopK(int k, float temperature) { for (size_t batch_id = 0; batch_id < params_->batch_size; batch_id++) { - std::span const scores = next_token_scores_.subspan(batch_id * params_->vocab_size, params_->vocab_size); + std::span const scores = next_token_scores_.subspan(batch_id * params_->config.model.vocab_size, params_->config.model.vocab_size); SoftMax(scores, temperature); // Find the top K scores std::vector indices(scores.size()); @@ -168,7 +172,7 @@ void GreedySearch_Cpu::SampleTopP(float p, float temperature) { if (PadIfAlreadyEOS(batch_id)) { continue; } - std::span const scores = next_token_scores_.subspan(batch_id * params_->vocab_size, params_->vocab_size); + std::span const scores = next_token_scores_.subspan(batch_id * params_->config.model.vocab_size, params_->config.model.vocab_size); SoftMax(scores, temperature); // Sort an array of indices into the scores std::vector indices(scores.size()); @@ -197,7 +201,7 @@ void GreedySearch_Cpu::SampleTopKTopP(int k, float p, float temperature) { if (PadIfAlreadyEOS(batch_id)) { continue; } - std::span const scores = next_token_scores_.subspan(batch_id * params_->vocab_size, params_->vocab_size); + std::span const scores = next_token_scores_.subspan(batch_id * params_->config.model.vocab_size, params_->config.model.vocab_size); SoftMax(scores, temperature); // Find the top K scores std::vector indices(scores.size()); @@ -226,13 +230,13 @@ bool GreedySearch_Cpu::PadIfAlreadyEOS(size_t batch_id) { return false; } - next_tokens_[batch_id] = params_->pad_token_id; + next_tokens_[batch_id] = params_->config.model.pad_token_id; return true; } void GreedySearch_Cpu::SetNextToken(size_t batch_id, int32_t token) { next_tokens_[batch_id] = token; - if (token == params_->eos_token_id) { + if (token == params_->config.model.eos_token_id) { eos_seen_[batch_id] = true; if (g_log.enabled && g_log.hit_eos) Log("hit_eos", "EOS seen on batch " + std::to_string(batch_id)); @@ -278,24 +282,22 @@ void BeamSearch_Cpu::Finalize(size_t num_return_sequences) { finalized_ = true; } -RoamingArray BeamSearch_Cpu::GetSequence(size_t index) { +DeviceMemorySpan BeamSearch_Cpu::GetSequence(size_t index) { size_t batch_id = index / params_->search.num_return_sequences; size_t beam_id = index % params_->search.num_return_sequences; Finalize(params_->search.num_return_sequences); - BeamHypotheses beam_hyp = beam_scorer_->GetBeamHypotheses(batch_id); - return beam_hyp.GetHypothesis(beam_id); + return beam_scorer_->GetBeamHypotheses(batch_id, beam_id); } -// TODO(aciddelgado): my question is, should this return copy or reference? -RoamingArray BeamSearch_Cpu::GetSequence(size_t batch_id, size_t beam_id) { +// TODO(aciddelgado): my question is, should this return copy or reference? A: A copy, as with DeviceMemorySpan it's like a span +DeviceMemorySpan BeamSearch_Cpu::GetSequence(size_t batch_id, size_t beam_id) { Finalize(params_->search.num_return_sequences); - BeamHypotheses beam_hyp = beam_scorer_->GetBeamHypotheses(batch_id); - return beam_hyp.GetHypothesis(beam_id); + return beam_scorer_->GetBeamHypotheses(batch_id, beam_id); } std::span Search_Cpu::GetScores(int batch_beam_index) const { assert(batch_beam_index >= 0 && batch_beam_index < params_->BatchBeamSize()); - return next_token_scores_.subspan(static_cast(batch_beam_index) * params_->vocab_size, params_->vocab_size); + return next_token_scores_.subspan(static_cast(batch_beam_index) * params_->config.model.vocab_size, params_->config.model.vocab_size); } void Search_Cpu::ApplyMinLength(int min_length) { @@ -306,7 +308,7 @@ void Search_Cpu::ApplyMinLength(int min_length) { const int batch_beam_size = params_->BatchBeamSize(); for (int i = 0; i < batch_beam_size; i++) { std::span const beam_token_scores = GetScores(i); - beam_token_scores[params_->eos_token_id] = std::numeric_limits::lowest(); + beam_token_scores[params_->config.model.eos_token_id] = std::numeric_limits::lowest(); } } @@ -317,7 +319,7 @@ void Search_Cpu::ApplyRepetitionPenalty(float penalty) { const int batch_beam_size = params_->BatchBeamSize(); for (int i = 0; i < batch_beam_size; i++) { std::span const beam_token_scores = GetScores(i); - std::span const sequence = sequences_.GetSequence(i); + std::span const sequence = sequences_.GetSequence(i).CpuSpan(); // Find unique word IDs in sequence. std::unordered_set unique_word_ids; diff --git a/src/search.h b/src/search.h index 357964be9..2d29f8355 100644 --- a/src/search.h +++ b/src/search.h @@ -13,8 +13,9 @@ struct Search : LeakChecked { virtual RoamingArray GetNextIndices() = 0; virtual RoamingArray GetSequenceLengths() = 0; virtual int GetSequenceLength() const = 0; - virtual RoamingArray GetSequence(size_t index) = 0; + virtual DeviceMemorySpan GetSequence(size_t index) = 0; + virtual RoamingArray GetLogits() const = 0; virtual void SetLogits(RoamingArray logits) = 0; virtual bool IsDone() const = 0; @@ -35,9 +36,10 @@ struct Search_Cpu : Search { int GetSequenceLength() const override; RoamingArray GetSequenceLengths() override { return sequence_lengths_; } - RoamingArray GetSequence(size_t index) override { return sequences_.GetSequence(index); } + DeviceMemorySpan GetSequence(size_t index) override { return sequences_.GetSequence(index); } bool IsDone() const override { return done_; } + RoamingArray GetLogits() const override; void SetLogits(RoamingArray logits) override; void ApplyMinLength(int min_length) override; @@ -51,7 +53,7 @@ struct Search_Cpu : Search { cpu_span next_tokens_; // shape (beam_size*batch_size) - std::span next_token_scores_; // shape (beam_size*batch_size, vocab_size) + cpu_span next_token_scores_; // shape (beam_size*batch_size, vocab_size) Sequences sequences_; bool done_{}; @@ -90,8 +92,8 @@ struct BeamSearch_Cpu : Search_Cpu { RoamingArray GetNextTokens() override; RoamingArray GetNextIndices() override; // In Beam Search there are batch_size * num_beams sequences. Index is batch_id * num_beams + beam_id... Easier to use the other version. - RoamingArray GetSequence(size_t index) override; - RoamingArray GetSequence(size_t batch_id, size_t beam_id); + DeviceMemorySpan GetSequence(size_t index) override; + DeviceMemorySpan GetSequence(size_t batch_id, size_t beam_id); bool IsDone() const override; diff --git a/src/sequences.cpp b/src/sequences.cpp index 39354a56c..0ea82f99a 100644 --- a/src/sequences.cpp +++ b/src/sequences.cpp @@ -13,29 +13,26 @@ Sequences::Sequences(std::span input_sequences, int batch_size, i assert(current_length_ * batch_size == input_sequences.size()); // Ensure size divided perfectly const size_t sequences_size = static_cast(batch_beam_size_) * max_length; - if (beam_size == 1) { - sequences_buffer_ = std::make_unique(sequences_size); - sequences_ = cpu_span(sequences_buffer_.get(), sequences_size); - } else { - sequences_buffer_ = std::make_unique(2 * sequences_size); - sequences_ = cpu_span(sequences_buffer_.get(), sequences_size); - sequences_next_ = cpu_span(sequences_buffer_.get() + sequences_size, sequences_size); - } + auto& device = GetCpuDeviceInterface(); + + sequences_ = device.Allocate(sequences_size, true); + if (beam_size > 1) + sequences_next_ = device.Allocate(sequences_size, true); // The original inputs are not expanded, this expands them in place into the sequences + auto span = sequences_->CpuSpan(); for (size_t batch = 0; batch < batch_size; batch++) { for (size_t beam = 0; beam < beam_size; beam++) { for (int j = 0; j < current_length_; j++) { - sequences_[(batch * beam_size + beam) * max_length + j] = + span[(batch * beam_size + beam) * max_length + j] = static_cast(input_sequences[batch * current_length_ + j]); } } } } -cpu_span Sequences::GetSequence(size_t batch_beam_index) { - auto span = sequences_.subspan(batch_beam_index * max_length_, current_length_); - return cpu_span{span.data(), span.size()}; +DeviceMemorySpan Sequences::GetSequence(size_t batch_beam_index) { + return sequences_->subspan(batch_beam_index * max_length_, current_length_); } int Sequences::GetSequenceLength() const { @@ -43,14 +40,17 @@ int Sequences::GetSequenceLength() const { } void Sequences::AppendNextTokenToSequences(std::span batch_beam_indices, std::span batch_beam_next_tokens) { + auto sequences_span = sequences_->CpuSpan(); + auto sequences_next_span = sequences_next_->CpuSpan(); + for (ptrdiff_t i = 0; i < batch_beam_size_; i++) { int batch_beam_index = batch_beam_indices[i]; - std::span source = sequences_.subspan(batch_beam_index * max_length_, current_length_); - std::span target = sequences_next_.subspan(i * max_length_, current_length_); + std::span source = sequences_span.subspan(static_cast(batch_beam_index) * max_length_, current_length_); + std::span target = sequences_next_span.subspan(i * max_length_, current_length_); copy(source, target); // Append next token to each beam. - sequences_next_[i * max_length_ + current_length_] = batch_beam_next_tokens[i]; + sequences_next_span[i * max_length_ + current_length_] = batch_beam_next_tokens[i]; } ++current_length_; @@ -60,6 +60,8 @@ void Sequences::AppendNextTokenToSequences(std::span batch_beam_i } void Sequences::AppendNextTokenToSequences(std::span next_tokens) { + auto sequences_span = sequences_->CpuSpan(); + if (g_log.enabled && g_log.append_next_tokens) { auto& stream = Log("append_next_tokens"); DumpSpan(stream, next_tokens); @@ -67,7 +69,7 @@ void Sequences::AppendNextTokenToSequences(std::span next_tokens) } // Append next token to each sequence. for (int i = 0; i < batch_beam_size_; i++) { - sequences_[i * max_length_ + current_length_] = next_tokens[i]; + sequences_span[i * max_length_ + current_length_] = next_tokens[i]; } ++current_length_; diff --git a/src/sequences.h b/src/sequences.h index 5407a3bc1..fac31bfef 100644 --- a/src/sequences.h +++ b/src/sequences.h @@ -6,8 +6,8 @@ struct Sequences { Sequences(std::span input_sequence, int batch_size, int beam_size, int max_length); // Returns a sequence of word IDs for a given beam index ( beam_index < batch_beam_size). - cpu_span GetSequence(size_t batch_beam_index); - cpu_span GetSequences() { return sequences_; } + DeviceMemorySpan GetSequence(size_t batch_beam_index); + DeviceMemory& GetSequences() { return *sequences_; } // Returns current sequence length. int GetSequenceLength() const; @@ -20,13 +20,11 @@ struct Sequences { void AppendNextTokenToSequences(std::span next_tokens); private: - std::unique_ptr sequences_buffer_; - // Two buffers of shape (batch_size, num_beams, max_seq_length) to store sequences. // At each time, there is only one buffer is active. The other one will be active in next token. // Each AppendNextTokenToSequences call will trigger a rotation of active buffer. - cpu_span sequences_; - cpu_span sequences_next_; // This only exists for beam search, to allow for the easy reordering of sequences + std::shared_ptr> sequences_; + std::shared_ptr> sequences_next_; // This only exists for beam search, to allow for the easy reordering of sequences int batch_beam_size_; int max_length_; diff --git a/src/smartptrs.h b/src/smartptrs.h index 257ae5535..d00693571 100644 --- a/src/smartptrs.h +++ b/src/smartptrs.h @@ -6,9 +6,81 @@ #include "span.h" namespace Generators { +struct Search; +struct GeneratorParams; + +struct DeviceMemoryBase : std::enable_shared_from_this { + virtual ~DeviceMemoryBase() {} + virtual const char* GetType() const = 0; // Returns "cuda" "cuda_cpu" "directml" etc + virtual bool IsCpuAccessible() const = 0; + virtual void GetOnCpu() = 0; // Allocates p_cpu_ if necessary and copies p_device_ memory into it + virtual void CopyFromDevice(size_t begin_dest, DeviceMemoryBase& source, size_t begin_source, size_t size_in_bytes) = 0; + + uint8_t* p_device_{}; + uint8_t* p_cpu_{}; + size_t size_in_bytes_{}; +}; + +template +struct DeviceMemorySpan; + +template +struct DeviceMemory : DeviceMemoryBase { + size_t Size() const { return size_in_bytes_ / sizeof(T); } + std::span DeviceSpan() { return std::span(reinterpret_cast(p_device_), Size()); } + std::span CpuSpan() { + if (!p_cpu_) GetOnCpu(); + return std::span(reinterpret_cast(p_cpu_), Size()); + } + + DeviceMemorySpan subspan() { return DeviceMemorySpan(*this, 0, Size()); } + DeviceMemorySpan subspan(size_t begin, size_t length) { return DeviceMemorySpan(*this, begin, length); } + DeviceMemorySpan subspan_cpu(std::span span) { return DeviceMemorySpan(*this, span.data() - CpuSpan().data(), span.size()); } + DeviceMemorySpan subspan_device(std::span span) { return DeviceMemorySpan(*this, span.data() - DeviceSpan().data(), span.size()); } + + private: + static void CheckSize() { + // Ensure we're the same size as DeviceMemory so we can be cast to it + // Has to be in a method because sizeof(TDeviceMemory) is not known outside of methods + static_assert(sizeof(DeviceMemory) == sizeof(DeviceMemoryBase)); + } +}; -template -void Unreferenced(const T&...) {} +// Many times we want to pass a subspan of device memory, this handles the memory differences +template +struct DeviceMemorySpan { + DeviceMemorySpan() = default; + DeviceMemorySpan(DeviceMemory& memory, size_t begin, size_t length) + : p_device_memory_{std::static_pointer_cast>(memory.shared_from_this())}, begin_{begin}, length_{length} {} + + size_t size() const { return length_; } + std::span CpuSpan() { return p_device_memory_->CpuSpan().subspan(begin_, length_); } + + private: + std::shared_ptr> p_device_memory_; + size_t begin_, length_; // Subspan of p_device_memory_, relative to original memory block +}; + +template +void copy(DeviceMemorySpan source, DeviceMemorySpan dest) { + assert(source.size() == dest.size()); + dest.p_device_memory_->CopyFromDevice(dest.begin, *source.p_device_memory_, source.begin, source.size * sizeof(T)); +} + +struct DeviceInterface { + virtual ~DeviceInterface() {} + + virtual std::shared_ptr AllocateBase(size_t size, bool cpu_accessible) = 0; + template + std::shared_ptr> Allocate(size_t count, bool cpu_accessible) { + return std::static_pointer_cast>(AllocateBase(sizeof(T) * count, cpu_accessible)); + } + + virtual std::unique_ptr CreateGreedy(const GeneratorParams& params) = 0; + virtual std::unique_ptr CreateBeam(const GeneratorParams& params) = 0; +}; + +DeviceInterface& GetCpuDeviceInterface(); namespace Location { struct CPU {}; @@ -18,6 +90,7 @@ struct GPU {}; template struct cpu_span : std::span { using std::span::span; + explicit cpu_span(std::span v) : std::span(v) {} }; template struct gpu_span : std::span { @@ -81,26 +154,6 @@ cuda_host_unique_ptr CudaMallocHostArray(size_t count, cpu_span* p_span = return cuda_host_unique_ptr{p}; } -struct cuda_event_holder { - cuda_event_holder() { - cudaEventCreate(&v_); - } - - cuda_event_holder(unsigned flags) { - cudaEventCreateWithFlags(&v_, flags); - } - - ~cuda_event_holder() { - if (v_) - (void)cudaEventDestroy(v_); - } - - operator cudaEvent_t() { return v_; } - - private: - cudaEvent_t v_{}; -}; - struct cuda_stream_holder { void Create() { assert(!v_); @@ -180,16 +233,6 @@ struct RoamingArray { return device_; } - void FlushCPUChanges() { - if (!device_.empty()) - cudaMemcpy(device_.data(), cpu_.data(), cpu_.size_bytes(), cudaMemcpyHostToDevice); - } - - void FlushGPUChanges() { - if (!cpu_.empty()) - cudaMemcpy(cpu_.data(), device_.data(), cpu_.size_bytes(), cudaMemcpyDeviceToHost); - } - void Assign(const RoamingArray& v) { cpu_ = v.cpu_; device_ = v.device_; diff --git a/test/CMakeLists.txt b/test/CMakeLists.txt index da3502bb4..75070cbd7 100644 --- a/test/CMakeLists.txt +++ b/test/CMakeLists.txt @@ -25,8 +25,11 @@ target_link_libraries(unit_tests PRIVATE onnxruntime-genai-static GTest::gtest_main ) +set_target_properties(unit_tests PROPERTIES + RUNTIME_OUTPUT_DIRECTORY "$" +) -if(NOT (CMAKE_SYSTEM_NAME STREQUAL "Android" OR CMAKE_SYSTEM_NAME STREQUAL "Linux")) +if(NOT (CMAKE_SYSTEM_NAME STREQUAL "Android" OR CMAKE_SYSTEM_NAME STREQUAL "Linux" OR CMAKE_SYSTEM_NAME STREQUAL "Darwin")) target_link_libraries(unit_tests PRIVATE ${ONNXRUNTIME_LIB}) endif() @@ -41,17 +44,15 @@ if(USE_CUDA AND CMAKE_CUDA_COMPILER) endif() set(TEST_MODEL_SRC_DIR "${CMAKE_CURRENT_SOURCE_DIR}/test_models/") -set(TEST_MODEL_DES_DIR "$/test_models/") -add_custom_command(TARGET unit_tests POST_BUILD - COMMAND ${CMAKE_COMMAND} -E copy_directory ${TEST_MODEL_SRC_DIR} ${TEST_MODEL_DES_DIR} - COMMAND ${CMAKE_COMMAND} -E copy ${onnxruntime_libs} $ -) -add_compile_definitions(MODEL_PATH="${TEST_MODEL_DES_DIR}") +add_compile_definitions(MODEL_PATH="${TEST_MODEL_SRC_DIR}") set_target_properties(unit_tests PROPERTIES FOLDER "Tests") source_group(TREE ${PROJECT_SOURCE_DIR} FILES ${test_srcs}) set_property(DIRECTORY ${CMAKE_SOURCE_DIR} PROPERTY VS_STARTUP_PROJECT unit_tests) -include(GoogleTest) - +# Hide symbols by default, so that shared libraries don't link to our redirected symbols (leads to infinite loops) +if (NOT MSVC) + target_compile_options(unit_tests PRIVATE "-fvisibility=hidden") +endif() +include(GoogleTest) diff --git a/test/c_api_tests.cpp b/test/c_api_tests.cpp index e6d9c2a65..019d03724 100644 --- a/test/c_api_tests.cpp +++ b/test/c_api_tests.cpp @@ -4,12 +4,21 @@ #include #include #include +#include "../src/span.h" + #ifndef MODEL_PATH #define MODEL_PATH "../../test/test_models/" #endif +#ifndef PHI2_PATH +#if USE_CUDA +#define PHI2_PATH MODEL_PATH "phi-2/int4/cuda" +#else +#define PHI2_PATH MODEL_PATH "phi-2/int4/cpu" +#endif +#endif TEST(CAPITests, TokenizerCAPI) { #if TEST_PHI2 - auto model = OgaModel::Create(MODEL_PATH "phi-2"); + auto model = OgaModel::Create(PHI2_PATH); auto tokenizer = OgaTokenizer::Create(*model); // Encode single decode single @@ -18,7 +27,7 @@ TEST(CAPITests, TokenizerCAPI) { auto input_sequences = OgaSequences::Create(); tokenizer->Encode(input_string, *input_sequences); - auto out_string = tokenizer->Decode(input_sequences->Get(0)); + auto out_string = tokenizer->Decode(input_sequences->SequenceData(0), input_sequences->SequenceCount(0)); ASSERT_STREQ(input_string, out_string); } @@ -38,7 +47,7 @@ TEST(CAPITests, TokenizerCAPI) { // Decode one at a time for (size_t i = 0; i < sequences->Count(); i++) { - auto out_string = tokenizer->Decode(sequences->Get(i)); + auto out_string = tokenizer->Decode(sequences->SequenceData(i), sequences->SequenceCount(i)); std::cout << "Decoded string:" << out_string << std::endl; if (strcmp(input_strings[i], out_string) != 0) throw std::runtime_error("Token decoding mismatch"); @@ -48,10 +57,10 @@ TEST(CAPITests, TokenizerCAPI) { for (size_t i = 0; i < sequences->Count(); i++) { auto tokenizer_stream = OgaTokenizerStream::Create(*tokenizer); - std::span sequence = sequences->Get(i); + auto* sequence = sequences->SequenceData(i); std::string stream_result; - for (auto& token : sequence) { - stream_result += tokenizer_stream->Decode(token); + for (size_t j = 0; j < sequences->SequenceCount(i); j++) { + stream_result += tokenizer_stream->Decode(sequence[j]); } std::cout << "Stream decoded string:" << stream_result << std::endl; if (strcmp(input_strings[i], stream_result.c_str()) != 0) @@ -61,8 +70,8 @@ TEST(CAPITests, TokenizerCAPI) { } TEST(CAPITests, AppendTokensToSequence) { - #if TEST_PHI2 - auto model = OgaModel::Create(MODEL_PATH "phi-2"); +#if TEST_PHI2 + auto model = OgaModel::Create(PHI2_PATH); auto tokenizer = OgaTokenizer::Create(*model); const char* input_strings[] = { @@ -83,20 +92,20 @@ TEST(CAPITests, AppendTokensToSequence) { // Append token sequence to another sequence // Basically create a copy for (size_t i = 0; i < sequences->Count(); i++) { - std::span sequence = sequences->Get(i); - appended_sequences->Append(sequence.data(), sequence.size()); + auto* sequence = sequences->SequenceData(i); + appended_sequences->Append(sequence, sequences->SequenceCount(i)); } // All sequences should be copied - EXPECT_EQ(appended_sequences->Count() != sequences->Count()); + EXPECT_EQ(appended_sequences->Count(), sequences->Count()); // Compare each token in each sequence - for (int i = 0; i< sequences->Count(); i++) { - std::span sequence = sequences->Get(i); - std::span appended_sequence = appended_sequences->Get(i); - EXPECT_EQ(sequence.size(), appended_sequence.size()); - - for (int j = 0; j < sequence.size(); j++) { - EXPECT_EQ(sequence[j], appended_sequence[j]) + for (int i = 0; i < sequences->Count(); i++) { + auto* sequence = sequences->SequenceData(i); + auto* appended_sequence = appended_sequences->SequenceData(i); + EXPECT_EQ(sequences->SequenceCount(i), appended_sequences->SequenceCount(i)); + + for (size_t j = 0; j < sequences->SequenceCount(i); j++) { + EXPECT_EQ(sequence[j], appended_sequence[j]); } } #endif @@ -104,7 +113,7 @@ TEST(CAPITests, AppendTokensToSequence) { TEST(CAPITests, EndToEndPhiBatch) { #if TEST_PHI2 - auto model = OgaModel::Create(MODEL_PATH "phi-2"); + auto model = OgaModel::Create(PHI2_PATH); auto tokenizer = OgaTokenizer::Create(*model); const char* input_strings[] = { @@ -118,14 +127,14 @@ TEST(CAPITests, EndToEndPhiBatch) { tokenizer->Encode(string, *input_sequences); auto params = OgaGeneratorParams::Create(*model); - params->SetSearchOption("max_length", 20); + params->SetSearchOption("max_length", 40); params->SetInputSequences(*input_sequences); auto output_sequences = model->Generate(*params); // Decode The Batch for (size_t i = 0; i < output_sequences->Count(); i++) { - auto out_string = tokenizer->Decode(output_sequences->Get(i)); + auto out_string = tokenizer->Decode(output_sequences->SequenceData(i), output_sequences->SequenceCount(i)); std::cout << "Decoded string:" << out_string << std::endl; } #endif @@ -237,14 +246,14 @@ TEST(CAPITests, GetOutputCAPI) { // check prompt // full logits has shape [2, 4, 1000]. Sample 1 for every 200 tokens and the expected sampled logits has shape [2, 4, 5] - std::vector expected_sampled_logits_prompt{0.29694548f, 0.00955007f, 0.0430819f, 0.10063869f, 0.0437237f, - 0.27329233f, 0.00841076f, -0.1060291f, 0.11328877f, 0.13369876f, - 0.30323744f, 0.0545997f, 0.03894716f, 0.11702324f, 0.0410665f, - -0.12675379f, -0.04443946f, 0.14492269f, 0.03021223f, -0.03212897f, - 0.29694548f, 0.00955007f, 0.0430819f, 0.10063869f, 0.0437237f, - 0.27329233f, 0.00841076f, -0.1060291f, 0.11328877f, 0.13369876f, - -0.04699047f, 0.17915794f, 0.20838135f, 0.10888482f, -0.00277808f, - 0.2938929f, -0.10538938f, -0.00226692f, 0.12050669f, -0.10622668f}; + std::vector expected_sampled_logits_prompt{0.29694548f, 0.00955007f, 0.0430819f, 0.10063869f, 0.0437237f, + 0.27329233f, 0.00841076f, -0.1060291f, 0.11328877f, 0.13369876f, + 0.30323744f, 0.0545997f, 0.03894716f, 0.11702324f, 0.0410665f, + -0.12675379f, -0.04443946f, 0.14492269f, 0.03021223f, -0.03212897f, + 0.29694548f, 0.00955007f, 0.0430819f, 0.10063869f, 0.0437237f, + 0.27329233f, 0.00841076f, -0.1060291f, 0.11328877f, 0.13369876f, + -0.04699047f, 0.17915794f, 0.20838135f, 0.10888482f, -0.00277808f, + 0.2938929f, -0.10538938f, -0.00226692f, 0.12050669f, -0.10622668f}; generator->ComputeLogits(); auto prompt_logits_ptr = generator->GetOutput("logits"); @@ -254,14 +263,14 @@ TEST(CAPITests, GetOutputCAPI) { float tolerance = 0.001f; // Verify outputs match expected outputs for (int i = 0; i < num_prompt_outputs_to_check; i++) { - EXPECT_NEAR(expected_sampled_logits_prompt[i], prompt_logits[i*sample_size], tolerance); + EXPECT_NEAR(expected_sampled_logits_prompt[i], prompt_logits[i * sample_size], tolerance); } generator->GenerateNextToken(); // check for the 1st token generation // full logits has shape [2, 1, 1000]. Sample 1 for every 200 tokens and the expected sampled logits has shape [2, 1, 5] - std::vector expected_sampled_logits_token_gen{0.03742531f, -0.05752287f, 0.14159015f, 0.04210977f, -0.1484456f, - 0.3041716f, -0.08701379f, -0.03778192f, 0.07471392f, -0.02049096f}; + std::vector expected_sampled_logits_token_gen{0.03742531f, -0.05752287f, 0.14159015f, 0.04210977f, -0.1484456f, + 0.3041716f, -0.08701379f, -0.03778192f, 0.07471392f, -0.02049096f}; generator->ComputeLogits(); auto token_gen_logits_ptr = generator->GetOutput("logits"); @@ -269,7 +278,7 @@ TEST(CAPITests, GetOutputCAPI) { int num_token_gen_outputs_to_check = 10; for (int i = 0; i < num_token_gen_outputs_to_check; i++) { - EXPECT_NEAR(expected_sampled_logits_token_gen[i], token_gen_logits[i*sample_size], tolerance); + EXPECT_NEAR(expected_sampled_logits_token_gen[i], token_gen_logits[i * sample_size], tolerance); } generator->GenerateNextToken(); } @@ -278,7 +287,7 @@ TEST(CAPITests, GetOutputCAPI) { struct Phi2Test { Phi2Test() { - model_ = OgaModel::Create(MODEL_PATH "phi-2"); + model_ = OgaModel::Create(PHI2_PATH); tokenizer_ = OgaTokenizer::Create(*model_); input_sequences_ = OgaSequences::Create(); @@ -309,7 +318,7 @@ struct Phi2Test { // Decode One at a time for (size_t i = 0; i < 3; i++) { - auto out_string = tokenizer_->Decode(generator->GetSequence(i)); + auto out_string = tokenizer_->Decode(generator->GetSequenceData(i), generator->GetSequenceCount(i)); std::cout << "Decoded string:" << out_string << std::endl; } } @@ -320,7 +329,7 @@ struct Phi2Test { // Decode The Batch for (size_t i = 0; i < output_sequences->Count(); i++) { - auto out_string = tokenizer_->Decode(output_sequences->Get(i)); + auto out_string = tokenizer_->Decode(output_sequences->SequenceData(i), output_sequences->SequenceCount(i)); std::cout << "Decoded string:" << out_string << std::endl; } } @@ -365,6 +374,134 @@ TEST(CAPITests, TopKTopPCAPI) { #endif // TEST_PHI2 +#if TEST_PHI2 +TEST(CAPITests, AdaptersTest) { + +#ifdef USE_CUDA +using OutputType = Ort::Float16_t; +#else +using OutputType = float; +#endif + + + // The python unit tests create the adapter model. + // In order to run this test, the python unit test must have been run first. + auto model = OgaModel::Create(MODEL_PATH "adapters"); + auto adapters = OgaAdapters::Create(*model); + adapters->LoadAdapter(MODEL_PATH "adapters/adapters.onnx_adapter", "adapters_a_and_b"); + + auto tokenizer = OgaTokenizer::Create(*model); + + const char* input_strings[] = { + "This is a test.", + "Rats are awesome pets!", + "The quick brown fox jumps over the lazy dog.", + }; + + auto input_sequences = OgaSequences::Create(); + for (auto& string : input_strings) + tokenizer->Encode(string, *input_sequences); + + // Run base scenario + size_t output_size = 0; + std::vector output_shape; + std::vector base_output; + { + auto params = OgaGeneratorParams::Create(*model); + params->SetSearchOption("max_length", 20); + params->SetInputSequences(*input_sequences); + + auto generator = OgaGenerator::Create(*model, *params); + + while (!generator->IsDone()) { + generator->ComputeLogits(); + generator->GenerateNextToken(); + } + + auto logits = generator->GetOutput("logits"); + output_shape = logits->Shape(); + output_size = static_cast(std::accumulate(output_shape.begin(), output_shape.end(), 1LL, + std::multiplies())); + base_output.reserve(output_size); + std::span src(reinterpret_cast(logits->Data()), output_size); + std::copy(src.begin(), src.end(), std::back_inserter(base_output)); + } + // Run scenario with an adapter + // We are expecting a difference in output + { + auto params = OgaGeneratorParams::Create(*model); + params->SetSearchOption("max_length", 20); + params->SetInputSequences(*input_sequences); + + auto generator = OgaGenerator::Create(*model, *params); + generator->SetActiveAdapter(*adapters, "adapters_a_and_b"); + + while (!generator->IsDone()) { + generator->ComputeLogits(); + generator->GenerateNextToken(); + } + + auto logits = generator->GetOutput("logits"); + const auto shape = logits->Shape(); + // Expecting the same shape + ASSERT_TRUE(std::equal(output_shape.begin(), output_shape.end(), shape.begin(), shape.end())); + + const auto size = static_cast(std::accumulate(shape.begin(), shape.end(), 1LL, + std::multiplies())); + ASSERT_EQ(output_size, size); + std::span src(reinterpret_cast(logits->Data()), size); + ASSERT_FALSE(std::equal(base_output.begin(), base_output.end(), src.begin(), src.end())); + } + + // Unload the adapter. Will error out if the adapter is still active. + // So, the generator must go out of scope before the adapter can be unloaded. + adapters->UnloadAdapter("adapters_a_and_b"); +} +#endif + +TEST(CAPITests, AdaptersTestMultipleAdapters) { +#if TEST_PHI2 + // The python unit tests create the adapter model. + // In order to run this test, the python unit test must have been run first. + auto model = OgaModel::Create(MODEL_PATH "multiple_adapters"); + auto adapters = OgaAdapters::Create(*model); + adapters->LoadAdapter(MODEL_PATH "multiple_adapters/adapter_0.onnx_adapter", "adapter_a"); + adapters->LoadAdapter(MODEL_PATH "multiple_adapters/adapter_1.onnx_adapter", "adapter_b"); + + auto tokenizer = OgaTokenizer::Create(*model); + + const char* input_strings[] = { + "This is a test.", + "Rats are awesome pets!", + "The quick brown fox jumps over the lazy dog.", + }; + + auto input_sequences = OgaSequences::Create(); + for (auto& string : input_strings) + tokenizer->Encode(string, *input_sequences); + + { + auto params = OgaGeneratorParams::Create(*model); + params->SetSearchOption("max_length", 20); + params->SetInputSequences(*input_sequences); + + auto generator = OgaGenerator::Create(*model, *params); + generator->SetActiveAdapter(*adapters, "adapter_a"); + generator->SetActiveAdapter(*adapters, "adapter_b"); + + while (!generator->IsDone()) { + generator->ComputeLogits(); + generator->GenerateNextToken(); + } + } + + // Unload the adapter. Will error out if the adapter is still active. + // So, the generator must go out of scope before the adapter can be unloaded. + adapters->UnloadAdapter("adapter_a"); + adapters->UnloadAdapter("adapter_b"); +#endif +} + void CheckResult(OgaResult* result) { if (result) { std::string string = OgaResultGetError(result); diff --git a/test/csharp/Microsoft.ML.OnnxRuntimeGenAI.Tests.csproj b/test/csharp/Microsoft.ML.OnnxRuntimeGenAI.Tests.csproj index 7d6c8ea74..cb43d91ba 100644 --- a/test/csharp/Microsoft.ML.OnnxRuntimeGenAI.Tests.csproj +++ b/test/csharp/Microsoft.ML.OnnxRuntimeGenAI.Tests.csproj @@ -22,8 +22,7 @@ $(TestsSrcRoot)\..\build $(OnnxRuntimeGenAIBuildDirectory)\$(Configuration) - $(TestsSrcRoot)\..\ort - $(OrtHome)\lib + @@ -32,15 +31,15 @@ PreserveNewest false - + PreserveNewest false - + PreserveNewest false - + PreserveNewest false @@ -54,15 +53,25 @@ PreserveNewest false - + PreserveNewest false - + PreserveNewest false + + + PreserveNewest + false + + + PreserveNewest + false + + PreserveNewest false diff --git a/test/csharp/TestOnnxRuntimeGenAIAPI.cs b/test/csharp/TestOnnxRuntimeGenAIAPI.cs index 66fefc740..74c0a33f5 100644 --- a/test/csharp/TestOnnxRuntimeGenAIAPI.cs +++ b/test/csharp/TestOnnxRuntimeGenAIAPI.cs @@ -3,17 +3,28 @@ using System; using System.IO; -using Xunit; -using Xunit.Abstractions; -using Microsoft.ML.OnnxRuntimeGenAI; -using System.Collections.Generic; using System.Linq; -using System.Reflection.Emit; using System.Runtime.InteropServices; +using Xunit; +using Xunit.Abstractions; namespace Microsoft.ML.OnnxRuntimeGenAI.Tests { - public partial class OnnxRuntimeGenAITests + public class TestsFixture : IDisposable + { + private OgaHandle _handle; + public TestsFixture() + { + _handle = new OgaHandle(); + } + + public void Dispose() + { + _handle.Dispose(); + } + } + + public class OnnxRuntimeGenAITests : IClassFixture { private readonly ITestOutputHelper output; @@ -22,9 +33,9 @@ public OnnxRuntimeGenAITests(ITestOutputHelper o) this.output = o; } - private class IgnoreOnModelAbsebceFact : FactAttribute + private class IgnoreOnModelAbsenceFact : FactAttribute { - public IgnoreOnModelAbsebceFact() + public IgnoreOnModelAbsenceFact() { string modelPath = Path.Combine(Directory.GetCurrentDirectory(), "test_models", "cpu", "phi-2"); bool exists = System.IO.Directory.Exists(modelPath); @@ -88,7 +99,7 @@ public void TestGreedySearch() } } - [IgnoreOnModelAbsebceFact(DisplayName = "TestTopKSearch")] + [IgnoreOnModelAbsenceFact(DisplayName = "TestTopKSearch")] public void TestTopKSearch() { int topK = 100; @@ -130,7 +141,7 @@ public void TestTopKSearch() } } - [IgnoreOnModelAbsebceFact(DisplayName = "TestTopPSearch")] + [IgnoreOnModelAbsenceFact(DisplayName = "TestTopPSearch")] public void TestTopPSearch() { float topP = 0.6f; @@ -172,7 +183,7 @@ public void TestTopPSearch() } } - [IgnoreOnModelAbsebceFact(DisplayName = "TestTopKTopPSearch")] + [IgnoreOnModelAbsenceFact(DisplayName = "TestTopKTopPSearch")] public void TestTopKTopPSearch() { int topK = 100; @@ -216,7 +227,7 @@ public void TestTopKTopPSearch() } } - [IgnoreOnModelAbsebceFact(DisplayName = "TestTokenizerBatchEncodeDecode")] + [IgnoreOnModelAbsenceFact(DisplayName = "TestTokenizerBatchEncodeDecode")] public void TestTokenizerBatchEncodeDecode() { string modelPath = Path.Combine(Directory.GetCurrentDirectory(), "test_models", "cpu", "phi-2"); @@ -245,7 +256,7 @@ public void TestTokenizerBatchEncodeDecode() } } - [IgnoreOnModelAbsebceFact(DisplayName = "TestTokenizerBatchEncodeSingleDecode")] + [IgnoreOnModelAbsenceFact(DisplayName = "TestTokenizerBatchEncodeSingleDecode")] public void TestTokenizerBatchEncodeSingleDecode() { string modelPath = Path.Combine(Directory.GetCurrentDirectory(), "test_models", "cpu", "phi-2"); @@ -276,7 +287,7 @@ public void TestTokenizerBatchEncodeSingleDecode() } } - [IgnoreOnModelAbsebceFact(DisplayName = "TestTokenizerBatchEncodeStreamDecode")] + [IgnoreOnModelAbsenceFact(DisplayName = "TestTokenizerBatchEncodeStreamDecode")] public void TestTokenizerBatchEncodeStreamDecode() { string modelPath = Path.Combine(Directory.GetCurrentDirectory(), "test_models", "cpu", "phi-2"); @@ -312,7 +323,7 @@ public void TestTokenizerBatchEncodeStreamDecode() } } - [IgnoreOnModelAbsebceFact(DisplayName = "TestTokenizerSingleEncodeDecode")] + [IgnoreOnModelAbsenceFact(DisplayName = "TestTokenizerSingleEncodeDecode")] public void TestTokenizerSingleEncodeDecode() { string modelPath = Path.Combine(Directory.GetCurrentDirectory(), "test_models", "cpu", "phi-2"); @@ -336,7 +347,7 @@ public void TestTokenizerSingleEncodeDecode() } } - [IgnoreOnModelAbsebceFact(DisplayName = "TestPhi2")] + [IgnoreOnModelAbsenceFact(DisplayName = "TestPhi2")] public void TestPhi2() { string modelPath = Path.Combine(Directory.GetCurrentDirectory(), "test_models", "cpu", "phi-2"); @@ -387,17 +398,107 @@ public void TestTensorAndAddExtraInput() // Pin the array to get its pointer GCHandle handle = GCHandle.Alloc(data, GCHandleType.Pinned); - IntPtr data_pointer = handle.AddrOfPinnedObject(); + try + { + IntPtr data_pointer = handle.AddrOfPinnedObject(); + + using var tensor = new Tensor(data_pointer, shape, ElementType.float32); + Assert.NotNull(tensor); + + Assert.Equal(shape, tensor.Shape()); + Assert.Equal(ElementType.float32, tensor.Type()); + + generatorParams.SetModelInput("test_input", tensor); + } + finally + { + handle.Free(); + } + } + + private class IgnoreOnAdaptersAbsentFact : FactAttribute + { + public IgnoreOnAdaptersAbsentFact() + { + string modelPath = Path.Combine(Directory.GetCurrentDirectory(), "test_models", "adapters"); + bool exists = System.IO.Directory.Exists(modelPath); + if (!System.IO.Directory.Exists(modelPath)) + { + // Skip this test on some machines since the model cannot be downloaded on those machines at runtime. + Skip = "Skipping this test since the model does not exist."; + } + } + } - using var tensor = new Tensor(data_pointer, shape, ElementType.float32); - Assert.NotNull(tensor); + // This model is dependent on the presense of Phi2 model + // get this model generated and copied to the output + // by running test_onnxruntime_genai.py + [IgnoreOnAdaptersAbsentFact(DisplayName = "TestAdapters")] + public void TestAdapters() + { + string modelPath = Path.Combine(Directory.GetCurrentDirectory(), "test_models", "adapters"); + string adapterPath = Path.Combine(modelPath, "adapters.onnx_adapter"); + + using var model = new Model(modelPath); + Assert.NotNull(model); + + using var adapters = new Adapters(model); + adapters.LoadAdapter(adapterPath, "adapters_a_and_b"); + + var inputStrings = new string[] + { + "This is a test.", + "Rats are awesome pets!", + "The quick brown fox jumps over the lazy dog.", + }; - Assert.Equal(shape, tensor.Shape()); - Assert.Equal(ElementType.float32, tensor.Type()); + using var tokenizer = new Tokenizer(model); + using var sequences = tokenizer.EncodeBatch(inputStrings); - generatorParams.SetModelInput("test_input", tensor); + Int64 outputSize = 0; + Int64[] output_shape; + float[] base_output; - handle.Free(); + // Run base scenario + { + using var genParams = new GeneratorParams(model); + genParams.SetSearchOption("max_length", 20); + genParams.SetInputSequences(sequences); + + using var generator = new Generator(model, genParams); + while(!generator.IsDone()) + { + generator.ComputeLogits(); + generator.GenerateNextToken(); + } + + using var logits = generator.GetOutput("logits"); + Assert.Equal(ElementType.float32, logits.Type()); + output_shape = logits.Shape(); + outputSize = logits.NumElements(); + base_output = logits.GetData().ToArray(); + } + // Adapter scenario. The output must be affected + { + using var genParams = new GeneratorParams(model); + genParams.SetSearchOption("max_length", 20); + genParams.SetInputSequences(sequences); + + using var generator = new Generator(model, genParams); + generator.SetActiveAdapter(adapters, "adapters_a_and_b"); + while (!generator.IsDone()) + { + generator.ComputeLogits(); + generator.GenerateNextToken(); + } + using var logits = generator.GetOutput("logits"); + Assert.Equal(ElementType.float32, logits.Type()); + Assert.Equal(outputSize, logits.NumElements()); + Assert.Equal(output_shape, logits.Shape()); + + var adapter_output = logits.GetData().ToArray(); + Assert.NotEqual(base_output, adapter_output); + } } } } diff --git a/test/model_tests.cpp b/test/model_tests.cpp index 6766fb892..7f73ec57a 100644 --- a/test/model_tests.cpp +++ b/test/model_tests.cpp @@ -10,6 +10,13 @@ #ifndef MODEL_PATH #define MODEL_PATH "../../test/test_models/" #endif +#ifndef PHI2_PATH +#if USE_CUDA +#define PHI2_PATH MODEL_PATH "phi-2/int4/cuda" +#else +#define PHI2_PATH MODEL_PATH "phi-2/int4/cpu" +#endif +#endif // To generate this file: // python convert_generation.py --model_type gpt2 -m hf-internal-testing/tiny-random-gpt2 --output tiny_gpt2_greedysearch_fp16.onnx --use_gpu --max_length 20 @@ -50,7 +57,7 @@ TEST(ModelTests, GreedySearchGptFp32) { // Verify outputs match expected outputs for (size_t i = 0; i < static_cast(params->batch_size); i++) { - auto sequence = generator->GetSequence(i).GetCPU(); + auto sequence = generator->GetSequence(i).CpuSpan(); auto* expected_output_start = &expected_output[i * params->search.max_length]; EXPECT_TRUE(0 == std::memcmp(expected_output_start, sequence.data(), params->search.max_length * sizeof(int32_t))); } @@ -86,7 +93,6 @@ TEST(ModelTests, BeamSearchGptFp32) { auto generator = Generators::CreateGenerator(*model, *params); auto result = Generators::Generate(*model, *params); - // Verify outputs match expected outputs for (int i = 0; i < params->batch_size; i++) { auto sequence = std::span(result[i].data(), params->search.max_length); @@ -124,7 +130,7 @@ void Test_GreedySearch_Gpt_Cuda(const char* model_path, const char* model_label) // Verify outputs match expected outputs for (int i = 0; i < params->batch_size; i++) { auto sequence_gpu = generator->GetSequence(i); - auto sequence = sequence_gpu.GetCPU(); + auto sequence = sequence_gpu.CpuSpan(); auto* expected_output_start = &expected_output[i * params->search.max_length]; EXPECT_TRUE(0 == std::memcmp(expected_output_start, sequence.data(), params->search.max_length * sizeof(int32_t))); } @@ -164,7 +170,6 @@ void Test_BeamSearch_Gpt_Cuda(const char* model_path, const char* model_label) { auto generator = Generators::CreateGenerator(*model, *params); auto result = Generators::Generate(*model, *params); - // Verify outputs match expected outputs for (int i = 0; i < params->batch_size; i++) { auto sequence = std::span(result[i].data(), params->search.max_length); @@ -190,7 +195,7 @@ Print all primes between 1 and n std::cout << "With prompt:" << prompt << "\r\n"; - auto model = Generators::CreateModel(Generators::GetOrtEnv(), MODEL_PATH "phi-2"); + auto model = Generators::CreateModel(Generators::GetOrtEnv(), PHI2_PATH); auto tokenizer = model->CreateTokenizer(); auto tokens = tokenizer->Encode(prompt); @@ -209,7 +214,7 @@ Print all primes between 1 and n auto result = generator->GetSequence(0); - std::cout << tokenizer->Decode(result.GetCPU()) << "\r\n"; + std::cout << tokenizer->Decode(result.CpuSpan()) << "\r\n"; #endif } @@ -224,7 +229,7 @@ Print all primes between 1 and n std::cout << "With prompt:" << prompt << "\r\n"; - auto model = Generators::CreateModel(Generators::GetOrtEnv(), MODEL_PATH "phi-2"); + auto model = Generators::CreateModel(Generators::GetOrtEnv(), PHI2_PATH); auto tokenizer = model->CreateTokenizer(); auto tokens = tokenizer->Encode(prompt); diff --git a/test/python/cpu/ort/requirements.txt b/test/python/cpu/ort/requirements.txt new file mode 100644 index 000000000..c00054ea3 --- /dev/null +++ b/test/python/cpu/ort/requirements.txt @@ -0,0 +1,2 @@ +-i https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT-Nightly/pypi/simple/ +onnxruntime==1.20.0.dev20241017001 diff --git a/test/python/cpu/torch/requirements.txt b/test/python/cpu/torch/requirements.txt new file mode 100644 index 000000000..4f7c53dc4 --- /dev/null +++ b/test/python/cpu/torch/requirements.txt @@ -0,0 +1,2 @@ +-f https://download.pytorch.org/whl/torch_stable.html +torch==2.2.1+cpu diff --git a/test/python/cuda/ort/requirements.txt b/test/python/cuda/ort/requirements.txt new file mode 100644 index 000000000..afc5aa7ae --- /dev/null +++ b/test/python/cuda/ort/requirements.txt @@ -0,0 +1,2 @@ +-i https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT-Nightly/pypi/simple/ +onnxruntime-gpu==1.20.0.dev20241016001 diff --git a/test/python/cuda/torch/requirements.txt b/test/python/cuda/torch/requirements.txt new file mode 100644 index 000000000..04fa85e79 --- /dev/null +++ b/test/python/cuda/torch/requirements.txt @@ -0,0 +1,2 @@ +-f https://download.pytorch.org/whl/torch_stable.html +torch==2.2.1+cu121 diff --git a/test/python/directml/ort/requirements.txt b/test/python/directml/ort/requirements.txt new file mode 100644 index 000000000..44a6f1003 --- /dev/null +++ b/test/python/directml/ort/requirements.txt @@ -0,0 +1,2 @@ +-i https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT-Nightly/pypi/simple/ +onnxruntime-directml==1.20.0.dev20241016004 diff --git a/test/python/directml/torch/requirements.txt b/test/python/directml/torch/requirements.txt new file mode 100644 index 000000000..4f7c53dc4 --- /dev/null +++ b/test/python/directml/torch/requirements.txt @@ -0,0 +1,2 @@ +-f https://download.pytorch.org/whl/torch_stable.html +torch==2.2.1+cpu diff --git a/test/python/macos/ort/requirements.txt b/test/python/macos/ort/requirements.txt new file mode 100644 index 000000000..c00054ea3 --- /dev/null +++ b/test/python/macos/ort/requirements.txt @@ -0,0 +1,2 @@ +-i https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT-Nightly/pypi/simple/ +onnxruntime==1.20.0.dev20241017001 diff --git a/test/python/macos/torch/requirements.txt b/test/python/macos/torch/requirements.txt new file mode 100644 index 000000000..7f1670fdd --- /dev/null +++ b/test/python/macos/torch/requirements.txt @@ -0,0 +1,2 @@ +-f https://download.pytorch.org/whl/torch_stable.html +torch==2.2.1 diff --git a/test/python/requirements-cpu.txt b/test/python/requirements-cpu.txt deleted file mode 100644 index d656c9ea6..000000000 --- a/test/python/requirements-cpu.txt +++ /dev/null @@ -1,4 +0,0 @@ --f https://download.pytorch.org/whl/torch_stable.html --i https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT-Nightly/pypi/simple/ -torch==2.2.1+cpu -ort-nightly==1.20.0.dev20240805004 diff --git a/test/python/requirements-cuda.txt b/test/python/requirements-cuda.txt deleted file mode 100644 index f0db6a66d..000000000 --- a/test/python/requirements-cuda.txt +++ /dev/null @@ -1,4 +0,0 @@ --f https://download.pytorch.org/whl/torch_stable.html --i https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT-Nightly/pypi/simple/ -torch==2.2.1+cu121 -ort-nightly-gpu==1.20.0.dev20240806001 diff --git a/test/python/requirements-directml.txt b/test/python/requirements-directml.txt deleted file mode 100644 index 6e7b86828..000000000 --- a/test/python/requirements-directml.txt +++ /dev/null @@ -1,4 +0,0 @@ --f https://download.pytorch.org/whl/torch_stable.html --i https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT-Nightly/pypi/simple/ -torch==2.2.1+cpu -ort-nightly-directml==1.20.0.dev20240805004 diff --git a/test/python/test_onnxruntime_genai_api.py b/test/python/test_onnxruntime_genai_api.py index c038eb9d7..a05efc62a 100644 --- a/test/python/test_onnxruntime_genai_api.py +++ b/test/python/test_onnxruntime_genai_api.py @@ -1,15 +1,23 @@ # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License +from __future__ import annotations + import os import sys import sysconfig from pathlib import Path +import shutil +import onnxruntime import numpy as np import onnxruntime_genai as og import pytest +if not sysconfig.get_platform().endswith("arm64"): + # Skip importing onnx if running on ARM64 + import onnx + devices = ["cpu"] if og.is_cuda_available(): @@ -241,6 +249,90 @@ def test_get_output(test_data_path, relative_model_path): generator.generate_next_token() +@pytest.mark.skipif( + not og.is_cuda_available(), reason="Pipeline model uses a mix of CPU and CUDA EP." +) +@pytest.mark.parametrize("relative_model_path", [Path("pipeline-model")]) +def test_pipeline_model(test_data_path, phi2_for, relative_model_path): + def _extract_subgraph( + input_path: os.PathLike, + output_path: os.PathLike, + input_names: list[str], + output_names: list[str], + ): + """Extract a subgraph from the input model and save it to the output path""" + + model = onnx.load(input_path) + + e = onnx.utils.Extractor(model) + extracted = e.extract_model(input_names, output_names) + + onnx.save( + extracted, + output_path, + save_as_external_data=True, + location=f"{Path(output_path).name}.data", + ) + + def _split(onnx_model_path: os.PathLike, output_dir: os.PathLike): + """Split the model into three models: embedding model, transformer model, and lm_head model.""" + num_layers = 1 + inputs_and_outputs = [ + (["input_ids"], ["/model/embed_tokens/Gather/output_0"]), + ( + ["/model/embed_tokens/Gather/output_0", "attention_mask"] + + [ + f"past_key_values.{i}.{kv}" + for kv in ["key", "value"] + for i in range(num_layers) + ], + [f"/model/layers.{num_layers}/final_norm_layernorm/output_0"] + + [ + f"present.{i}.{kv}" + for kv in ["key", "value"] + for i in range(num_layers) + ], + ), + ([f"/model/layers.{num_layers}/final_norm_layernorm/output_0"], ["logits"]), + ] + + for i, split_name in enumerate(["embeds", "transformer", "lm_head"]): + split_model_path = output_dir / f"{split_name}.onnx" + _extract_subgraph( + onnx_model_path, + split_model_path, + inputs_and_outputs[i][0], + inputs_and_outputs[i][1], + ) + + _split( + Path(phi2_for("cuda")) / "model.onnx", + Path(test_data_path) / relative_model_path, + ) + + model_path = os.fspath(Path(test_data_path) / relative_model_path) + model = og.Model(model_path) + tokenizer = og.Tokenizer(model) + + prompts = [ + "This is a test.", + "Rats are awesome pets!", + "The quick brown fox jumps over the lazy dog.", + ] + + params = og.GeneratorParams(model) + params.set_search_options(max_length=20) + params.input_ids = tokenizer.encode_batch(prompts) + + output_sequences = model.generate(params) + expected_output = [ + 'This is a test.\n # TOD import * doct proofingrad', + 'Rats are awesome pets!\n """\n\n', + 'The quick brown fox jumps over the lazy dog.\n """\n\n', + ] + assert tokenizer.decode_batch(output_sequences) == expected_output + + @pytest.mark.parametrize("relative_model_path", [Path("vision-preprocessing")]) @pytest.mark.parametrize("relative_image_path", [Path("images") / "sheet.png"]) def test_vision_preprocessing(test_data_path, relative_model_path, relative_image_path): @@ -301,3 +393,135 @@ def test_vision_preprocessing_multiple_images( prompt += " What is shown in this two images?\n<|end|>\n<|assistant|>\n" _ = processor(prompt, images=images) + + +@pytest.mark.parametrize("device", devices) +@pytest.mark.skipif( + sysconfig.get_platform().endswith("arm64"), + reason="ONNX is not available on ARM64", +) +@pytest.mark.parametrize("multiple_adapters", [True, False]) +def test_adapters(test_data_path, device, multiple_adapters, phi2_for): + def _prepare_adapter_model(test_data_path): + phi2_model_path = phi2_for(device) + relative_model_path = "multiple_adapters" if multiple_adapters else "adapters" + adapter_model_path = os.fspath(Path(test_data_path) / relative_model_path) + if os.path.exists(adapter_model_path): + shutil.rmtree(adapter_model_path) + + shutil.copytree(phi2_model_path, adapter_model_path) + + # Create the model with adapters + model = onnx.load(Path(adapter_model_path) / "model.onnx") + + for node in model.graph.node: + if node.name == "/lm_head/Add": + node.output[0] = "logits_0" + break + + vocab_size = 51200 + adapter_a = onnx.helper.make_tensor_value_info( + "adapter_a", + onnx.TensorProto.FLOAT if device == "cpu" else onnx.TensorProto.FLOAT16, + [vocab_size], + ) + adapter_b = onnx.helper.make_tensor_value_info( + "adapter_b", + onnx.TensorProto.FLOAT if device == "cpu" else onnx.TensorProto.FLOAT16, + [vocab_size], + ) + + model.graph.input.extend([adapter_a, adapter_b]) + + for adapter_name in ["adapter_a", "adapter_b"]: + adapter_weight = np.zeros([vocab_size], dtype=(np.float32 if device == "cpu" else np.float16)) + adapter_weight_tensor = onnx.helper.make_tensor( + adapter_name, + onnx.TensorProto.FLOAT if device == "cpu" else onnx.TensorProto.FLOAT16, + [vocab_size], + adapter_weight.flatten() + ) + model.graph.initializer.append(adapter_weight_tensor) + + add_node = onnx.helper.make_node( + "Add", ["adapter_a", "adapter_b"], ["adapter_output"], name="adapter_add" + ) + add_to_logits_node = onnx.helper.make_node( + "Add", ["adapter_output", "logits_0"], ["logits"], name="add_to_logits" + ) + model.graph.node.extend([add_node, add_to_logits_node]) + + onnx.save( + model, + Path(adapter_model_path) / "model.onnx", + save_as_external_data=True, + location="model.data", + ) + + # Create adapters for the model + a, b = None, None + if device == "cpu": + a = np.random.rand(vocab_size).astype(np.float32) + b = np.random.rand(vocab_size).astype(np.float32) + else: + a = np.random.rand(vocab_size).astype(np.float16) + b = np.random.rand(vocab_size).astype(np.float16) + + onnx_dtype = 1 if device == "cpu" else 10 + adapters = { + "adapter_a": onnxruntime.OrtValue.ortvalue_from_numpy_with_onnx_type( + a, onnx_dtype + ), + "adapter_b": onnxruntime.OrtValue.ortvalue_from_numpy_with_onnx_type( + b, onnx_dtype + ), + } + if multiple_adapters: + adapters = [{key: value} for key, value in adapters.items()] + + def _export_adapter(adapter, adapter_file_name): + adapter_format = onnxruntime.AdapterFormat() + adapter_format.set_adapter_version(1) + adapter_format.set_model_version(1) + adapter_format.set_parameters(adapter) + adapter_format.export_adapter(adapter_file_name) + + adapter_paths = [] + if multiple_adapters: + for i, adapter in enumerate(adapters): + adapter_file_name = str(Path(adapter_model_path) / f"adapter_{i}.onnx_adapter") + _export_adapter(adapter, adapter_file_name) + adapter_paths.append(adapter_file_name) + else: + adapter_file_name = str(Path(adapter_model_path) / "adapters.onnx_adapter") + _export_adapter(adapters, adapter_file_name) + adapter_paths.append(adapter_file_name) + + return adapter_model_path, adapter_paths + + model_path, adapter_paths = _prepare_adapter_model(test_data_path) + model = og.Model(model_path) + adapters = og.Adapters(model) + for i, adapter_path in enumerate(adapter_paths): + adapters.load(adapter_path, f"adapter_{i}") + + tokenizer = og.Tokenizer(model) + prompts = [ + "This is a test.", + "Rats are awesome pets!", + "The quick brown fox jumps over the lazy dog.", + ] + + params = og.GeneratorParams(model) + params.set_search_options(max_length=20) + params.input_ids = tokenizer.encode_batch(prompts) + + print(len(adapter_paths)) + + generator = og.Generator(model, params) + for i in range(len(adapter_paths)): + generator.set_active_adapter(adapters, f"adapter_{i}") + + while not generator.is_done(): + generator.compute_logits() + generator.generate_next_token() diff --git a/test/sampling_benchmark.cpp b/test/sampling_benchmark.cpp index e614b2b20..59cfa61c0 100644 --- a/test/sampling_benchmark.cpp +++ b/test/sampling_benchmark.cpp @@ -19,17 +19,19 @@ void CreateRandomLogits(float* logits, int num_large, int vocab_size, int batch_ TEST(Benchmarks, BenchmarkRandomizedSamplingTopPCpu) { auto model = Generators::CreateModel(Generators::GetOrtEnv(), MODEL_PATH "hf-internal-testing/tiny-random-gpt2-fp32"); - int vocab_size = 32000; // vocab size of llama int batch_size = 1; std::vector input_ids{0, 1, 2, 3, 4}; - auto params = Generators::CreateGeneratorParams(); + + Generators::Config config; + config.model.vocab_size = 32000; // vocab size of llama + + auto params = Generators::CreateGeneratorParams(config); params->search.max_length = 10; params->batch_size = batch_size; params->sequence_length = 1; - params->vocab_size = vocab_size; params->input_ids = input_ids; params->device_type = Generators::DeviceType::CPU; - std::vector logits_cpu(vocab_size * batch_size); + std::vector logits_cpu(config.model.vocab_size * batch_size); std::random_device rd; std::mt19937 engine(rd()); std::uniform_int_distribution<> dist(1, 25); @@ -38,8 +40,8 @@ TEST(Benchmarks, BenchmarkRandomizedSamplingTopPCpu) { for (int i = 0; i < num_iter; i++) { auto generator = Generators::CreateGenerator(*model, *params); int num_large = dist(engine); - CreateRandomLogits(logits_cpu.data(), num_large, vocab_size, batch_size, engine); - generator->search_->SetLogits(Generators::cpu_span(logits_cpu.data(), vocab_size * batch_size)); + CreateRandomLogits(logits_cpu.data(), num_large, config.model.vocab_size, batch_size, engine); + generator->search_->SetLogits(Generators::cpu_span(logits_cpu.data(), config.model.vocab_size * batch_size)); auto start = std::chrono::high_resolution_clock::now(); generator->search_->SampleTopP(0.95f, 1.0f); auto stop = std::chrono::high_resolution_clock::now(); @@ -53,18 +55,20 @@ TEST(Benchmarks, BenchmarkRandomizedSamplingTopPCpu) { TEST(Benchmarks, BenchmarkRandomizedSamplingTopKCpu) { auto model = Generators::CreateModel(Generators::GetOrtEnv(), MODEL_PATH "hf-internal-testing/tiny-random-gpt2-fp32"); - int vocab_size = 32000; // vocab size of llama int batch_size = 1; int k = 5; std::vector input_ids{0, 1, 2, 3, 4}; - auto params = Generators::CreateGeneratorParams(); + + Generators::Config config; + config.model.vocab_size = 32000; // vocab size of llama + + auto params = Generators::CreateGeneratorParams(config); params->search.max_length = 10; params->batch_size = batch_size; params->sequence_length = 1; - params->vocab_size = vocab_size; params->input_ids = input_ids; params->device_type = Generators::DeviceType::CPU; - std::vector logits_cpu(vocab_size * batch_size); + std::vector logits_cpu(config.model.vocab_size * batch_size); std::random_device rd; std::mt19937 engine(rd()); std::uniform_int_distribution<> dist(5, 25); @@ -73,8 +77,8 @@ TEST(Benchmarks, BenchmarkRandomizedSamplingTopKCpu) { for (int i = 0; i < num_iter; i++) { int num_large = dist(engine); auto generator = Generators::CreateGenerator(*model, *params); - CreateRandomLogits(logits_cpu.data(), num_large, vocab_size, batch_size, engine); - generator->search_->SetLogits(Generators::cpu_span(logits_cpu.data(), vocab_size * batch_size)); + CreateRandomLogits(logits_cpu.data(), num_large, config.model.vocab_size, batch_size, engine); + generator->search_->SetLogits(Generators::cpu_span(logits_cpu.data(), config.model.vocab_size * batch_size)); auto start = std::chrono::high_resolution_clock::now(); generator->search_->SampleTopK(k, 1.0f); @@ -90,19 +94,21 @@ TEST(Benchmarks, BenchmarkRandomizedSamplingTopKCpu) { TEST(Benchmarks, BenchmarkRandomizedSamplingTopPAndKCpu) { auto model = Generators::CreateModel(Generators::GetOrtEnv(), MODEL_PATH "hf-internal-testing/tiny-random-gpt2-fp32"); - int vocab_size = 32000; // vocab size of llama int batch_size = 1; float p = 0.95f; int k = 5; std::vector input_ids{0, 1, 2, 3, 4}; - auto params = Generators::CreateGeneratorParams(); + + Generators::Config config; + config.model.vocab_size = 32000; // vocab size of llama + + auto params = Generators::CreateGeneratorParams(config); params->search.max_length = 10; params->batch_size = batch_size; params->sequence_length = 1; - params->vocab_size = vocab_size; params->input_ids = input_ids; params->device_type = Generators::DeviceType::CPU; - std::vector logits_cpu(vocab_size * batch_size); + std::vector logits_cpu(config.model.vocab_size * batch_size); std::random_device rd; std::mt19937 engine(rd()); std::uniform_int_distribution<> dist(5, 25); @@ -111,8 +117,8 @@ TEST(Benchmarks, BenchmarkRandomizedSamplingTopPAndKCpu) { for (int i = 0; i < num_iter; i++) { int num_large = dist(engine); auto generator = Generators::CreateGenerator(*model, *params); - CreateRandomLogits(logits_cpu.data(), num_large, vocab_size, batch_size, engine); - generator->search_->SetLogits(Generators::cpu_span(logits_cpu.data(), vocab_size * batch_size)); + CreateRandomLogits(logits_cpu.data(), num_large, config.model.vocab_size, batch_size, engine); + generator->search_->SetLogits(Generators::cpu_span(logits_cpu.data(), config.model.vocab_size * batch_size)); auto start = std::chrono::high_resolution_clock::now(); generator->search_->SampleTopKTopP(k, p, 1.0f); @@ -131,31 +137,33 @@ TEST(Benchmarks, BenchmarkRandomizedSamplingTopPAndKCpu) { TEST(Benchmarks, BenchmarkRandomizedSamplingTopPCuda) { auto model = Generators::CreateModel(Generators::GetOrtEnv(), MODEL_PATH "hf-internal-testing/tiny-random-gpt2-fp32"); - int vocab_size = 32000; // vocab size of llama int batch_size = 1; std::vector input_ids{0, 1, 2, 3, 4}; - auto params = Generators::CreateGeneratorParams(); + + Generators::Config config; + config.model.vocab_size = 32000; // vocab size of llama + + auto params = Generators::CreateGeneratorParams(config); params->search.max_length = 10; params->batch_size = batch_size; params->sequence_length = 1; - params->vocab_size = vocab_size; params->input_ids = input_ids; params->device_type = Generators::DeviceType::CUDA; - std::vector cpu_logits(vocab_size * batch_size); + std::vector cpu_logits(config.model.vocab_size * batch_size); std::random_device rd; std::mt19937 engine(rd()); std::uniform_int_distribution<> dist(1, 25); - auto logits_gpu = Generators::CudaMallocArray(vocab_size * batch_size); - auto indices_buffer = Generators::CudaMallocArray(vocab_size * batch_size); + auto logits_gpu = Generators::CudaMallocArray(config.model.vocab_size * batch_size); + auto indices_buffer = Generators::CudaMallocArray(config.model.vocab_size * batch_size); double total_time = 0.0; int num_iter = 1000; for (int i = 0; i < num_iter; i++) { int num_large = dist(engine); auto generator = Generators::CreateGenerator(*model, *params); - LaunchGeometricDecayKernel(logits_gpu.get(), vocab_size, batch_size, num_large, 20.0f, params->cuda_stream); - LaunchFisherYatesKernel(logits_gpu.get(), indices_buffer.get(), vocab_size, batch_size, params->cuda_stream); - cudaMemcpy(cpu_logits.data(), logits_gpu.get(), vocab_size * batch_size * sizeof(float), cudaMemcpyDeviceToHost); - generator->search_->SetLogits(Generators::gpu_span(logits_gpu.get(), vocab_size * batch_size)); + LaunchGeometricDecayKernel(logits_gpu.get(), config.model.vocab_size, batch_size, num_large, 20.0f, params->cuda_stream); + LaunchFisherYatesKernel(logits_gpu.get(), indices_buffer.get(), config.model.vocab_size, batch_size, params->cuda_stream); + cudaMemcpy(cpu_logits.data(), logits_gpu.get(), config.model.vocab_size * batch_size * sizeof(float), cudaMemcpyDeviceToHost); + generator->search_->SetLogits(Generators::gpu_span(logits_gpu.get(), config.model.vocab_size * batch_size)); cudaStreamSynchronize(params->cuda_stream); auto start = std::chrono::high_resolution_clock::now(); @@ -174,20 +182,22 @@ TEST(Benchmarks, BenchmarkRandomizedSamplingTopPCuda) { TEST(Benchmarks, BenchmarkRandomizedSamplingTopKCuda) { auto model = Generators::CreateModel(Generators::GetOrtEnv(), MODEL_PATH "hf-internal-testing/tiny-random-gpt2-fp32"); - int vocab_size = 32000; // vocab size of llama int batch_size = 1; int k = 5; std::vector input_ids{0, 1, 2, 3, 4}; - auto params = Generators::CreateGeneratorParams(); + + Generators::Config config; + config.model.vocab_size = 32000; // vocab size of llama + + auto params = Generators::CreateGeneratorParams(config); params->search.max_length = 10; params->batch_size = batch_size; params->sequence_length = 1; - params->vocab_size = vocab_size; params->input_ids = input_ids; params->device_type = Generators::DeviceType::CUDA; - auto logits_gpu = Generators::CudaMallocArray(vocab_size * batch_size); - auto indices_buffer = Generators::CudaMallocArray(vocab_size * batch_size); - std::vector cpu_logits(vocab_size * batch_size); + auto logits_gpu = Generators::CudaMallocArray(config.model.vocab_size * batch_size); + auto indices_buffer = Generators::CudaMallocArray(config.model.vocab_size * batch_size); + std::vector cpu_logits(config.model.vocab_size * batch_size); std::random_device rd; std::mt19937 engine(rd()); std::uniform_int_distribution<> dist(1, 25); @@ -196,10 +206,10 @@ TEST(Benchmarks, BenchmarkRandomizedSamplingTopKCuda) { for (int i = 0; i < num_iter; i++) { int num_large = dist(engine); auto generator = Generators::CreateGenerator(*model, *params); - LaunchGeometricDecayKernel(logits_gpu.get(), vocab_size, batch_size, num_large, 20.0f, params->cuda_stream); - LaunchFisherYatesKernel(logits_gpu.get(), indices_buffer.get(), vocab_size, batch_size, params->cuda_stream); - cudaMemcpy(cpu_logits.data(), logits_gpu.get(), vocab_size * batch_size * sizeof(float), cudaMemcpyDeviceToHost); - generator->search_->SetLogits(Generators::gpu_span(logits_gpu.get(), vocab_size * batch_size)); + LaunchGeometricDecayKernel(logits_gpu.get(), config.model.vocab_size, batch_size, num_large, 20.0f, params->cuda_stream); + LaunchFisherYatesKernel(logits_gpu.get(), indices_buffer.get(), config.model.vocab_size, batch_size, params->cuda_stream); + cudaMemcpy(cpu_logits.data(), logits_gpu.get(), config.model.vocab_size * batch_size * sizeof(float), cudaMemcpyDeviceToHost); + generator->search_->SetLogits(Generators::gpu_span(logits_gpu.get(), config.model.vocab_size * batch_size)); cudaStreamSynchronize(params->cuda_stream); auto start = std::chrono::high_resolution_clock::now(); generator->search_->SampleTopK(k, 1.0f); @@ -214,21 +224,23 @@ TEST(Benchmarks, BenchmarkRandomizedSamplingTopKCuda) { TEST(Benchmarks, BenchmarkRandomizedSamplingTopPAndKCuda) { auto model = Generators::CreateModel(Generators::GetOrtEnv(), MODEL_PATH "hf-internal-testing/tiny-random-gpt2-fp32"); - int vocab_size = 32000; // vocab size of llama int batch_size = 1; float p = 0.95f; int k = 5; std::vector input_ids{0, 1, 2, 3, 4}; - auto params = Generators::CreateGeneratorParams(); + + Generators::Config config; + config.model.vocab_size = 32000; // vocab size of llama + + auto params = Generators::CreateGeneratorParams(config); params->search.max_length = 10; params->batch_size = batch_size; params->sequence_length = 1; - params->vocab_size = vocab_size; params->input_ids = input_ids; params->device_type = Generators::DeviceType::CUDA; - auto logits_gpu = Generators::CudaMallocArray(vocab_size * batch_size); - auto indices_buffer = Generators::CudaMallocArray(vocab_size * batch_size); - std::vector cpu_logits(vocab_size * batch_size); + auto logits_gpu = Generators::CudaMallocArray(config.model.vocab_size * batch_size); + auto indices_buffer = Generators::CudaMallocArray(config.model.vocab_size * batch_size); + std::vector cpu_logits(config.model.vocab_size * batch_size); std::random_device rd; std::mt19937 engine(rd()); std::uniform_int_distribution<> dist(1, 25); @@ -237,10 +249,10 @@ TEST(Benchmarks, BenchmarkRandomizedSamplingTopPAndKCuda) { for (int i = 0; i < num_iter; i++) { auto generator = Generators::CreateGenerator(*model, *params); int num_large = dist(engine); - LaunchGeometricDecayKernel(logits_gpu.get(), vocab_size, batch_size, num_large, 20.0f, params->cuda_stream); - LaunchFisherYatesKernel(logits_gpu.get(), indices_buffer.get(), vocab_size, batch_size, params->cuda_stream); - cudaMemcpy(cpu_logits.data(), logits_gpu.get(), vocab_size * batch_size * sizeof(float), cudaMemcpyDeviceToHost); - generator->search_->SetLogits(Generators::gpu_span(logits_gpu.get(), vocab_size * batch_size)); + LaunchGeometricDecayKernel(logits_gpu.get(), config.model.vocab_size, batch_size, num_large, 20.0f, params->cuda_stream); + LaunchFisherYatesKernel(logits_gpu.get(), indices_buffer.get(), config.model.vocab_size, batch_size, params->cuda_stream); + cudaMemcpy(cpu_logits.data(), logits_gpu.get(), config.model.vocab_size * batch_size * sizeof(float), cudaMemcpyDeviceToHost); + generator->search_->SetLogits(Generators::gpu_span(logits_gpu.get(), config.model.vocab_size * batch_size)); cudaStreamSynchronize(params->cuda_stream); auto start = std::chrono::high_resolution_clock::now(); @@ -259,19 +271,21 @@ TEST(Benchmarks, BenchmarkRandomizedSamplingTopPAndKCuda) { TEST(Benchmarks, BenchmarkRandomizedSelectTopCuda) { auto model = Generators::CreateModel(Generators::GetOrtEnv(), MODEL_PATH "hf-internal-testing/tiny-random-gpt2-fp32"); - int vocab_size = 32000; // vocab size of llama int batch_size = 12; std::vector input_ids{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11}; // Needs to match batch_size - auto params = Generators::CreateGeneratorParams(); + + Generators::Config config; + config.model.vocab_size = 32000; // vocab size of llama + + auto params = Generators::CreateGeneratorParams(config); params->search.max_length = 10; params->batch_size = batch_size; params->sequence_length = 1; - params->vocab_size = vocab_size; params->input_ids = input_ids; params->device_type = Generators::DeviceType::CUDA; - auto logits_gpu = Generators::CudaMallocArray(vocab_size * batch_size); - auto indices_buffer = Generators::CudaMallocArray(vocab_size * batch_size); - std::vector cpu_logits(vocab_size * batch_size); + auto logits_gpu = Generators::CudaMallocArray(config.model.vocab_size * batch_size); + auto indices_buffer = Generators::CudaMallocArray(config.model.vocab_size * batch_size); + std::vector cpu_logits(config.model.vocab_size * batch_size); std::random_device rd; std::mt19937 engine(rd()); std::uniform_int_distribution<> dist(1, 25); @@ -280,10 +294,10 @@ TEST(Benchmarks, BenchmarkRandomizedSelectTopCuda) { for (int i = 0; i < num_iter; i++) { int num_large = dist(engine); auto generator = Generators::CreateGenerator(*model, *params); - LaunchGeometricDecayKernel(logits_gpu.get(), vocab_size, batch_size, num_large, 20.0f, params->cuda_stream); - LaunchFisherYatesKernel(logits_gpu.get(), indices_buffer.get(), vocab_size, batch_size, params->cuda_stream); - cudaMemcpy(cpu_logits.data(), logits_gpu.get(), vocab_size * batch_size * sizeof(float), cudaMemcpyDeviceToHost); - generator->search_->SetLogits(Generators::gpu_span(logits_gpu.get(), vocab_size * batch_size)); + LaunchGeometricDecayKernel(logits_gpu.get(), config.model.vocab_size, batch_size, num_large, 20.0f, params->cuda_stream); + LaunchFisherYatesKernel(logits_gpu.get(), indices_buffer.get(), config.model.vocab_size, batch_size, params->cuda_stream); + cudaMemcpy(cpu_logits.data(), logits_gpu.get(), config.model.vocab_size * batch_size * sizeof(float), cudaMemcpyDeviceToHost); + generator->search_->SetLogits(Generators::gpu_span(logits_gpu.get(), config.model.vocab_size * batch_size)); cudaStreamSynchronize(params->cuda_stream); auto start = std::chrono::high_resolution_clock::now(); generator->search_->SelectTop(); diff --git a/test/sampling_tests.cpp b/test/sampling_tests.cpp index 85c151d2e..7a6505255 100644 --- a/test/sampling_tests.cpp +++ b/test/sampling_tests.cpp @@ -22,15 +22,15 @@ TEST(SamplingTests, BatchedSamplingTopPCpu) { 0.1f, 0.1f, 0.6f, 0.1f, 0.1f, 0.1f, 0.1f, 0.1f, 0.6f, 0.1f, 0.1f, 0.1f, 0.1f, 0.1f, 0.6f}; - int vocab_size = 5; - int batch_size = 4; - auto params = Generators::CreateGeneratorParams(); + Generators::Config config; + config.model.vocab_size = 5; + + auto params = Generators::CreateGeneratorParams(config); params->search.max_length = 10; params->search.do_sample = true; params->search.top_p = 0.25f; - params->batch_size = batch_size; + params->batch_size = 4; params->sequence_length = 1; - params->vocab_size = vocab_size; params->input_ids = input_ids; params->device_type = Generators::DeviceType::CUDA; auto generator = Generators::CreateGenerator(*model, *params); @@ -50,15 +50,16 @@ TEST(SamplingTests, BatchedSamplingTopKCpu) { 0.25f, 2.0f, 1.25f, 1.5f, 0.25f, 0.25f, 2.0f, 0.25f, 1.5f, 1.25f, 1.25f, 0.25f, 1.5f, 0.25f, 2.0f}; - int vocab_size = 5; + Generators::Config config; + config.model.vocab_size = 5; + int batch_size = 4; - auto params = Generators::CreateGeneratorParams(); + auto params = Generators::CreateGeneratorParams(config); params->search.max_length = 10; params->search.do_sample = true; params->search.top_k = 2; params->batch_size = batch_size; params->sequence_length = 1; - params->vocab_size = vocab_size; params->input_ids = input_ids; params->device_type = Generators::DeviceType::CPU; auto generator = Generators::CreateGenerator(*model, *params); @@ -71,7 +72,7 @@ TEST(SamplingTests, BatchedSamplingTopKCpu) { auto next_tokens = generator->search_->GetNextTokens().GetCPU(); for (int b = 0; b < batch_size; b++) { auto next_token = next_tokens[b]; - auto next_token_score = logits_cpu[next_token + vocab_size * b]; + auto next_token_score = logits_cpu[next_token + config.model.vocab_size * b]; EXPECT_GT(next_token_score, 1.25f); } } @@ -83,16 +84,18 @@ TEST(SamplingTests, BatchedSamplingTopPAndKCpu) { 0.25f, 2.0f, 1.25f, 1.5f, 0.25f, 0.25f, 2.0f, 0.25f, 1.5f, 1.25f, 1.25f, 0.25f, 1.5f, 0.25f, 2.0f}; - int vocab_size = 5; + + Generators::Config config; + config.model.vocab_size = 5; + int batch_size = 4; - auto params = Generators::CreateGeneratorParams(); + auto params = Generators::CreateGeneratorParams(config); params->search.max_length = 10; params->search.do_sample = true; params->search.top_k = 2; params->search.top_p = 0.25f; params->batch_size = batch_size; params->sequence_length = 1; - params->vocab_size = vocab_size; params->input_ids = input_ids; params->device_type = Generators::DeviceType::CPU; auto generator = Generators::CreateGenerator(*model, *params); @@ -104,7 +107,7 @@ TEST(SamplingTests, BatchedSamplingTopPAndKCpu) { auto next_tokens = generator->search_->GetNextTokens().GetCPU(); for (int b = 0; b < batch_size; b++) { auto next_token = next_tokens[b]; - auto next_token_score = logits_cpu[next_token + vocab_size * b]; + auto next_token_score = logits_cpu[next_token + config.model.vocab_size * b]; EXPECT_GT(next_token_score, 1.25f); } } @@ -133,19 +136,21 @@ void CreateRandomLogits(float* logits, int num_large, int vocab_size, int batch_ TEST(SamplingTests, RandomizedSamplingTopPCpu) { auto model = Generators::CreateModel(Generators::GetOrtEnv(), MODEL_PATH "hf-internal-testing/tiny-random-gpt2-fp32"); - int vocab_size = 32000; // vocab size of llama int batch_size = 5; std::vector input_ids{0, 1, 2, 3, 4}; - auto params = Generators::CreateGeneratorParams(); + + Generators::Config config; + config.model.vocab_size = 32000; // vocab size of llama + + auto params = Generators::CreateGeneratorParams(config); params->search.max_length = 10; params->search.do_sample = true; params->search.top_p = 0.95f; params->batch_size = batch_size; params->sequence_length = 1; - params->vocab_size = vocab_size; params->input_ids = input_ids; params->device_type = Generators::DeviceType::CPU; - std::vector logits_cpu(vocab_size * batch_size); + std::vector logits_cpu(config.model.vocab_size * batch_size); std::random_device rd; std::mt19937 engine(rd()); std::uniform_int_distribution<> dist(1, 25); @@ -153,7 +158,7 @@ TEST(SamplingTests, RandomizedSamplingTopPCpu) { for (int i = 0; i < num_iter; i++) { auto generator = Generators::CreateGenerator(*model, *params); int num_large = dist(engine); - CreateRandomLogits(logits_cpu.data(), num_large, vocab_size, batch_size, engine); + CreateRandomLogits(logits_cpu.data(), num_large, config.model.vocab_size, batch_size, engine); auto logits_copy = logits_cpu; generator->search_->SetLogits(Generators::cpu_span(logits_copy)); generator->computed_logits_ = true; @@ -162,7 +167,7 @@ TEST(SamplingTests, RandomizedSamplingTopPCpu) { // Verify outputs match expected outputs for (int b = 0; b < batch_size; b++) { auto next_token = next_tokens[b]; - auto next_token_score = logits_cpu[next_token + vocab_size * b]; + auto next_token_score = logits_cpu[next_token + config.model.vocab_size * b]; EXPECT_GT(next_token_score, 1.0f); } } @@ -170,20 +175,22 @@ TEST(SamplingTests, RandomizedSamplingTopPCpu) { TEST(SamplingTests, RandomizedSamplingTopKCpu) { auto model = Generators::CreateModel(Generators::GetOrtEnv(), MODEL_PATH "hf-internal-testing/tiny-random-gpt2-fp32"); - int vocab_size = 32000; // vocab size of llama int batch_size = 5; int k = 5; std::vector input_ids{0, 1, 2, 3, 4}; - auto params = Generators::CreateGeneratorParams(); + + Generators::Config config; + config.model.vocab_size = 32000; // vocab size of llama + + auto params = Generators::CreateGeneratorParams(config); params->search.max_length = 10; params->search.do_sample = true; params->search.top_k = k; params->batch_size = batch_size; params->sequence_length = 1; - params->vocab_size = vocab_size; params->input_ids = input_ids; params->device_type = Generators::DeviceType::CPU; - std::vector logits_cpu(vocab_size * batch_size); + std::vector logits_cpu(config.model.vocab_size * batch_size); std::random_device rd; std::mt19937 engine(rd()); std::uniform_int_distribution<> dist(5, 25); @@ -191,7 +198,7 @@ TEST(SamplingTests, RandomizedSamplingTopKCpu) { for (int i = 0; i < num_iter; i++) { int num_large = dist(engine); auto generator = Generators::CreateGenerator(*model, *params); - CreateRandomLogits(logits_cpu.data(), num_large, vocab_size, batch_size, engine); + CreateRandomLogits(logits_cpu.data(), num_large, config.model.vocab_size, batch_size, engine); auto logits_copy = logits_cpu; generator->search_->SetLogits(Generators::cpu_span(logits_copy)); generator->computed_logits_ = true; @@ -200,7 +207,7 @@ TEST(SamplingTests, RandomizedSamplingTopKCpu) { // Verify outputs match expected outputs for (int b = 0; b < batch_size; b++) { auto next_token = next_tokens[b]; - auto next_token_score = logits_cpu[next_token + vocab_size * b]; + auto next_token_score = logits_cpu[next_token + config.model.vocab_size * b]; EXPECT_GT(next_token_score, 10.0f); } } @@ -208,22 +215,24 @@ TEST(SamplingTests, RandomizedSamplingTopKCpu) { TEST(SamplingTests, RandomizedSamplingTopPAndKCpu) { auto model = Generators::CreateModel(Generators::GetOrtEnv(), MODEL_PATH "hf-internal-testing/tiny-random-gpt2-fp32"); - int vocab_size = 32000; // vocab size of llama int batch_size = 5; float p = 0.95f; int k = 5; std::vector input_ids{0, 1, 2, 3, 4}; - auto params = Generators::CreateGeneratorParams(); + + Generators::Config config; + config.model.vocab_size = 32000; // vocab size of llama + + auto params = Generators::CreateGeneratorParams(config); params->search.max_length = 10; params->search.do_sample = true; params->search.top_k = k; params->search.top_p = p; params->batch_size = batch_size; params->sequence_length = 1; - params->vocab_size = vocab_size; params->input_ids = input_ids; params->device_type = Generators::DeviceType::CPU; - std::vector logits_cpu(vocab_size * batch_size); + std::vector logits_cpu(config.model.vocab_size * batch_size); std::random_device rd; std::mt19937 engine(rd()); std::uniform_int_distribution<> dist(5, 25); @@ -231,7 +240,7 @@ TEST(SamplingTests, RandomizedSamplingTopPAndKCpu) { for (int i = 0; i < num_iter; i++) { int num_large = dist(engine); auto generator = Generators::CreateGenerator(*model, *params); - CreateRandomLogits(logits_cpu.data(), num_large, vocab_size, batch_size, engine); + CreateRandomLogits(logits_cpu.data(), num_large, config.model.vocab_size, batch_size, engine); auto logits_copy = logits_cpu; generator->search_->SetLogits(Generators::cpu_span(logits_copy)); generator->computed_logits_ = true; @@ -240,7 +249,7 @@ TEST(SamplingTests, RandomizedSamplingTopPAndKCpu) { // Verify outputs match expected outputs for (int b = 0; b < batch_size; b++) { auto next_token = next_tokens[b]; - auto next_token_score = logits_cpu[next_token + vocab_size * b]; + auto next_token_score = logits_cpu[next_token + config.model.vocab_size * b]; EXPECT_GT(next_token_score, 10.0f); } } @@ -259,15 +268,17 @@ TEST(SamplingTests, BatchedSamplingTopPCuda) { 0.1f, 0.1f, 0.1f, 0.6f, 0.1f, 0.1f, 0.1f, 0.1f, 0.1f, 0.6f}; auto logits_gpu = Generators::CudaMallocArray(logits_cpu.size()); - int vocab_size = 5; int batch_size = 4; - auto params = Generators::CreateGeneratorParams(); + + Generators::Config config; + config.model.vocab_size = 5; + + auto params = Generators::CreateGeneratorParams(config); params->search.max_length = 10; params->search.do_sample = true; params->search.top_p = 0.25f; params->batch_size = batch_size; params->sequence_length = 1; - params->vocab_size = vocab_size; params->input_ids = input_ids; params->device_type = Generators::DeviceType::CUDA; cudaMemcpyAsync(logits_gpu.get(), logits_cpu.data(), logits_cpu.size() * sizeof(float), cudaMemcpyHostToDevice, params->cuda_stream); @@ -289,15 +300,17 @@ TEST(SamplingTests, BatchedSamplingTopKCuda) { 0.25f, 2.0f, 0.25f, 1.5f, 1.25f, 1.25f, 0.25f, 1.5f, 0.25f, 2.0f}; auto logits_gpu = Generators::CudaMallocArray(logits_cpu.size()); - int vocab_size = 5; int batch_size = 4; - auto params = Generators::CreateGeneratorParams(); + + Generators::Config config; + config.model.vocab_size = 5; + + auto params = Generators::CreateGeneratorParams(config); params->search.max_length = 10; params->search.do_sample = true; params->search.top_k = 2; params->batch_size = batch_size; params->sequence_length = 1; - params->vocab_size = vocab_size; params->input_ids = input_ids; params->device_type = Generators::DeviceType::CUDA; cudaMemcpyAsync(logits_gpu.get(), logits_cpu.data(), logits_cpu.size() * sizeof(float), cudaMemcpyHostToDevice, params->cuda_stream); @@ -310,7 +323,7 @@ TEST(SamplingTests, BatchedSamplingTopKCuda) { auto next_tokens = generator->search_->GetNextTokens().GetCPU(); for (int b = 0; b < batch_size; b++) { auto next_token = next_tokens[b]; - auto next_token_score = logits_cpu[next_token + vocab_size * b]; + auto next_token_score = logits_cpu[next_token + config.model.vocab_size * b]; EXPECT_GT(next_token_score, 1.25f); } } @@ -323,16 +336,18 @@ TEST(SamplingTests, BatchedSamplingTopPAndKCuda) { 0.25f, 2.0f, 0.25f, 1.5f, 1.25f, 1.25f, 0.25f, 1.5f, 0.25f, 2.0f}; auto logits_gpu = Generators::CudaMallocArray(logits_cpu.size()); - int vocab_size = 5; int batch_size = 4; - auto params = Generators::CreateGeneratorParams(); + + Generators::Config config; + config.model.vocab_size = 5; + + auto params = Generators::CreateGeneratorParams(config); params->search.max_length = 10; params->search.do_sample = true; params->search.top_k = 2; params->search.top_p = 0.25f; params->batch_size = batch_size; params->sequence_length = 1; - params->vocab_size = vocab_size; params->input_ids = input_ids; params->device_type = Generators::DeviceType::CUDA; cudaMemcpyAsync(logits_gpu.get(), logits_cpu.data(), logits_cpu.size() * sizeof(float), cudaMemcpyHostToDevice, params->cuda_stream); @@ -345,28 +360,31 @@ TEST(SamplingTests, BatchedSamplingTopPAndKCuda) { auto next_tokens = generator->search_->GetNextTokens().GetCPU(); for (int b = 0; b < batch_size; b++) { auto next_token = next_tokens[b]; - auto next_token_score = logits_cpu[next_token + vocab_size * b]; + auto next_token_score = logits_cpu[next_token + config.model.vocab_size * b]; EXPECT_GT(next_token_score, 1.25f); } } TEST(SamplingTests, RandomizedSamplingTopPCuda) { auto model = Generators::CreateModel(Generators::GetOrtEnv(), MODEL_PATH "hf-internal-testing/tiny-random-gpt2-fp32"); - int vocab_size = 32000; // vocab size of llama int batch_size = 5; std::vector input_ids{0, 1, 2, 3, 4}; - auto params = Generators::CreateGeneratorParams(); + + Generators::Config config; + config.model.vocab_size = 32000; // vocab size of llama + + auto params = Generators::CreateGeneratorParams(config); params->search.max_length = 10; params->search.do_sample = true; params->search.top_p = 0.95f; params->batch_size = batch_size; params->sequence_length = 1; - params->vocab_size = vocab_size; params->input_ids = input_ids; params->device_type = Generators::DeviceType::CUDA; - auto logits_gpu = Generators::CudaMallocArray(vocab_size * batch_size); - auto indices_buffer = Generators::CudaMallocHostArray(vocab_size * batch_size); - float* cpu_logits = new float[vocab_size * batch_size]; + auto logits_gpu = Generators::CudaMallocArray(config.model.vocab_size * batch_size); + auto indices_buffer = Generators::CudaMallocHostArray(config.model.vocab_size * batch_size); + std::vector logits_cpu(config.model.vocab_size * batch_size); + std::random_device rd; std::mt19937 engine(rd()); std::uniform_int_distribution<> dist(1, 25); @@ -374,10 +392,10 @@ TEST(SamplingTests, RandomizedSamplingTopPCuda) { for (int i = 0; i < num_iter; i++) { int num_large = dist(engine); auto generator = Generators::CreateGenerator(*model, *params); - LaunchGeometricDecayKernel(logits_gpu.get(), vocab_size, batch_size, num_large, 20.0f, params->cuda_stream); - LaunchFisherYatesKernel(logits_gpu.get(), indices_buffer.get(), vocab_size, batch_size, params->cuda_stream); - cudaMemcpyAsync(cpu_logits, logits_gpu.get(), vocab_size * batch_size * sizeof(float), cudaMemcpyDeviceToHost, params->cuda_stream); - generator->search_->SetLogits(Generators::gpu_span(logits_gpu.get(), vocab_size * batch_size)); + LaunchGeometricDecayKernel(logits_gpu.get(), config.model.vocab_size, batch_size, num_large, 20.0f, params->cuda_stream); + LaunchFisherYatesKernel(logits_gpu.get(), indices_buffer.get(), config.model.vocab_size, batch_size, params->cuda_stream); + cudaMemcpyAsync(logits_cpu.data(), logits_gpu.get(), config.model.vocab_size * batch_size * sizeof(float), cudaMemcpyDeviceToHost, params->cuda_stream); + generator->search_->SetLogits(Generators::gpu_span(logits_gpu.get(), config.model.vocab_size * batch_size)); generator->computed_logits_ = true; generator->GenerateNextToken(); auto next_tokens = generator->search_->GetNextTokens().GetCPU(); @@ -385,7 +403,7 @@ TEST(SamplingTests, RandomizedSamplingTopPCuda) { // Verify outputs match expected outputs for (int b = 0; b < batch_size; b++) { auto next_token = next_tokens[b]; - auto next_token_score = cpu_logits[next_token + vocab_size * b]; + auto next_token_score = logits_cpu[next_token + config.model.vocab_size * b]; EXPECT_GT(next_token_score, 0.0001f); } } @@ -393,33 +411,35 @@ TEST(SamplingTests, RandomizedSamplingTopPCuda) { TEST(SamplingTests, RandomizedSamplingTopKCuda) { auto model = Generators::CreateModel(Generators::GetOrtEnv(), MODEL_PATH "hf-internal-testing/tiny-random-gpt2-fp32"); - int vocab_size = 32000; // vocab size of llama int batch_size = 5; int k = 5; std::vector input_ids{0, 1, 2, 3, 4}; - auto params = Generators::CreateGeneratorParams(); + + Generators::Config config; + config.model.vocab_size = 32000; // vocab size of llama + + auto params = Generators::CreateGeneratorParams(config); params->search.max_length = 10; params->search.do_sample = true; params->search.top_k = k; params->batch_size = batch_size; params->sequence_length = 1; - params->vocab_size = vocab_size; params->input_ids = input_ids; params->device_type = Generators::DeviceType::CUDA; - auto logits_gpu = Generators::CudaMallocArray(vocab_size * batch_size); - auto indices_buffer = Generators::CudaMallocHostArray(vocab_size * batch_size); - float* cpu_logits = new float[vocab_size * batch_size]; + auto logits_gpu = Generators::CudaMallocArray(config.model.vocab_size * batch_size); + auto indices_buffer = Generators::CudaMallocHostArray(config.model.vocab_size * batch_size); + std::vector logits_cpu(config.model.vocab_size * batch_size); std::random_device rd; std::mt19937 engine(rd()); std::uniform_int_distribution<> dist(1, 25); int num_iter = 100; for (int i = 0; i < num_iter; i++) { int num_large = dist(engine); - LaunchGeometricDecayKernel(logits_gpu.get(), vocab_size, batch_size, num_large, 20.0f, params->cuda_stream); - LaunchFisherYatesKernel(logits_gpu.get(), indices_buffer.get(), vocab_size, batch_size, params->cuda_stream); - cudaMemcpyAsync(cpu_logits, logits_gpu.get(), vocab_size * batch_size * sizeof(float), cudaMemcpyDeviceToHost, params->cuda_stream); + LaunchGeometricDecayKernel(logits_gpu.get(), config.model.vocab_size, batch_size, num_large, 20.0f, params->cuda_stream); + LaunchFisherYatesKernel(logits_gpu.get(), indices_buffer.get(), config.model.vocab_size, batch_size, params->cuda_stream); + cudaMemcpyAsync(logits_cpu.data(), logits_gpu.get(), config.model.vocab_size * batch_size * sizeof(float), cudaMemcpyDeviceToHost, params->cuda_stream); auto generator = Generators::CreateGenerator(*model, *params); - generator->search_->SetLogits(Generators::gpu_span(logits_gpu.get(), vocab_size * batch_size)); + generator->search_->SetLogits(Generators::gpu_span(logits_gpu.get(), config.model.vocab_size * batch_size)); generator->computed_logits_ = true; generator->GenerateNextToken(); auto next_tokens = generator->search_->GetNextTokens().GetCPU(); @@ -427,7 +447,7 @@ TEST(SamplingTests, RandomizedSamplingTopKCuda) { // Verify outputs match expected outputs for (int b = 0; b < batch_size; b++) { auto next_token = next_tokens[b]; - auto next_token_score = cpu_logits[next_token + vocab_size * b]; + auto next_token_score = logits_cpu[next_token + config.model.vocab_size * b]; EXPECT_GT(next_token_score, 10.0f); } } @@ -435,24 +455,26 @@ TEST(SamplingTests, RandomizedSamplingTopKCuda) { TEST(SamplingTests, RandomizedSamplingTopPAndKCuda) { auto model = Generators::CreateModel(Generators::GetOrtEnv(), MODEL_PATH "hf-internal-testing/tiny-random-gpt2-fp32"); - int vocab_size = 32000; // vocab size of llama int batch_size = 5; float p = 0.95f; int k = 5; std::vector input_ids{0, 1, 2, 3, 4}; - auto params = Generators::CreateGeneratorParams(); + + Generators::Config config; + config.model.vocab_size = 32000; // vocab size of llama + + auto params = Generators::CreateGeneratorParams(config); params->search.max_length = 10; params->search.do_sample = true; params->search.top_k = k; params->search.top_p = p; params->batch_size = batch_size; params->sequence_length = 1; - params->vocab_size = vocab_size; params->input_ids = input_ids; params->device_type = Generators::DeviceType::CUDA; - auto logits_gpu = Generators::CudaMallocArray(vocab_size * batch_size); - auto indices_buffer = Generators::CudaMallocHostArray(vocab_size * batch_size); - float* cpu_logits = new float[vocab_size * batch_size]; + auto logits_gpu = Generators::CudaMallocArray(config.model.vocab_size * batch_size); + auto indices_buffer = Generators::CudaMallocHostArray(config.model.vocab_size * batch_size); + std::vector logits_cpu(config.model.vocab_size * batch_size); std::random_device rd; std::mt19937 engine(rd()); std::uniform_int_distribution<> dist(1, 25); @@ -460,10 +482,10 @@ TEST(SamplingTests, RandomizedSamplingTopPAndKCuda) { for (int i = 0; i < num_iter; i++) { int num_large = dist(engine); auto generator = Generators::CreateGenerator(*model, *params); - LaunchGeometricDecayKernel(logits_gpu.get(), vocab_size, batch_size, num_large, 20.0f, params->cuda_stream); - LaunchFisherYatesKernel(logits_gpu.get(), indices_buffer.get(), vocab_size, batch_size, params->cuda_stream); - cudaMemcpyAsync(cpu_logits, logits_gpu.get(), vocab_size * batch_size * sizeof(float), cudaMemcpyDeviceToHost, params->cuda_stream); - generator->search_->SetLogits(Generators::gpu_span(logits_gpu.get(), vocab_size * batch_size)); + LaunchGeometricDecayKernel(logits_gpu.get(), config.model.vocab_size, batch_size, num_large, 20.0f, params->cuda_stream); + LaunchFisherYatesKernel(logits_gpu.get(), indices_buffer.get(), config.model.vocab_size, batch_size, params->cuda_stream); + cudaMemcpyAsync(logits_cpu.data(), logits_gpu.get(), config.model.vocab_size * batch_size * sizeof(float), cudaMemcpyDeviceToHost, params->cuda_stream); + generator->search_->SetLogits(Generators::gpu_span(logits_gpu.get(), config.model.vocab_size * batch_size)); generator->computed_logits_ = true; generator->GenerateNextToken(); auto next_tokens = generator->search_->GetNextTokens().GetCPU(); @@ -471,7 +493,7 @@ TEST(SamplingTests, RandomizedSamplingTopPAndKCuda) { // Verify outputs match expected outputs for (int b = 0; b < batch_size; b++) { auto next_token = next_tokens[b]; - auto next_token_score = cpu_logits[next_token + vocab_size * b]; + auto next_token_score = logits_cpu[next_token + config.model.vocab_size * b]; EXPECT_GT(next_token_score, 10.0f); } } @@ -479,39 +501,41 @@ TEST(SamplingTests, RandomizedSamplingTopPAndKCuda) { TEST(SamplingTests, RandomizedSamplingSelectTopCuda) { auto model = Generators::CreateModel(Generators::GetOrtEnv(), MODEL_PATH "hf-internal-testing/tiny-random-gpt2-fp32"); - int vocab_size = 32000; // vocab size of llama int batch_size = 5; std::vector input_ids{0, 1, 2, 3, 4}; - auto params = Generators::CreateGeneratorParams(); + + Generators::Config config; + config.model.vocab_size = 32000; // vocab size of llama + + auto params = Generators::CreateGeneratorParams(config); params->search.max_length = 10; params->batch_size = batch_size; params->sequence_length = 1; - params->vocab_size = vocab_size; params->input_ids = input_ids; params->device_type = Generators::DeviceType::CUDA; - auto logits_gpu = Generators::CudaMallocArray(vocab_size * batch_size); - auto indices_buffer = Generators::CudaMallocHostArray(vocab_size * batch_size); - float* cpu_logits = new float[vocab_size * batch_size]; + auto logits_gpu = Generators::CudaMallocArray(config.model.vocab_size * batch_size); + auto indices_buffer = Generators::CudaMallocHostArray(config.model.vocab_size * batch_size); + std::vector logits_cpu(config.model.vocab_size * batch_size); std::random_device rd; std::mt19937 engine(rd()); std::uniform_int_distribution<> dist(1, 25); int num_iter = 100; for (int i = 0; i < num_iter; i++) { int num_large = dist(engine); - LaunchGeometricDecayKernel(logits_gpu.get(), vocab_size, batch_size, num_large, 20.0f, params->cuda_stream); - LaunchFisherYatesKernel(logits_gpu.get(), indices_buffer.get(), vocab_size, batch_size, params->cuda_stream); - cudaMemcpyAsync(cpu_logits, logits_gpu.get(), vocab_size * batch_size * sizeof(float), cudaMemcpyDeviceToHost, params->cuda_stream); + LaunchGeometricDecayKernel(logits_gpu.get(), config.model.vocab_size, batch_size, num_large, 20.0f, params->cuda_stream); + LaunchFisherYatesKernel(logits_gpu.get(), indices_buffer.get(), config.model.vocab_size, batch_size, params->cuda_stream); + cudaMemcpyAsync(logits_cpu.data(), logits_gpu.get(), config.model.vocab_size * batch_size * sizeof(float), cudaMemcpyDeviceToHost, params->cuda_stream); auto generator = Generators::CreateGenerator(*model, *params); - generator->search_->SetLogits(Generators::gpu_span(logits_gpu.get(), vocab_size * batch_size)); + generator->search_->SetLogits(Generators::gpu_span(logits_gpu.get(), config.model.vocab_size * batch_size)); generator->computed_logits_ = true; generator->GenerateNextToken(); auto next_tokens = generator->search_->GetNextTokens().GetCPU(); cudaStreamSynchronize(params->cuda_stream); // Verify outputs match expected outputs for (int b = 0; b < batch_size; b++) { - float max_score = *std::max_element(cpu_logits + vocab_size * b, cpu_logits + vocab_size * (b + 1)); + float max_score = *std::max_element(logits_cpu.begin() + config.model.vocab_size * b, logits_cpu.begin() + config.model.vocab_size * (b + 1)); auto next_token = next_tokens[b]; - auto next_token_score = cpu_logits[next_token + vocab_size * b]; + auto next_token_score = logits_cpu[next_token + config.model.vocab_size * b]; EXPECT_EQ(next_token_score, max_score); } } diff --git a/test/test_models/create_dummy_model.py b/test/test_models/create_dummy_model.py new file mode 100644 index 000000000..117354115 --- /dev/null +++ b/test/test_models/create_dummy_model.py @@ -0,0 +1,130 @@ +# ------------------------------------------------------------------------- +# Copyright (c) Microsoft Corporation. All rights reserved. +# Licensed under the MIT License. See License.txt in the project root for +# license information. +# -------------------------------------------------------------------------- +""" +Create dummy ONNX models that contain only inputs and outputs. +This is helpful for creating ONNX models to run simple API tests (e.g. pre-processing) +where the contents of the ONNX models don't matter. + +Example usage: +1) python3 create_dummy_model.py \ + --inputs "pixel_values; TensorProto.FLOAT16; ['num_images', 'max_num_crops', 3, 'height', 'width']" "image_sizes; TensorProto.INT64; ['num_images', 2]" \ + --outputs "image_features; TensorProto.FLOAT16; ['num_image_tokens', 3072]" \ + --filename "dummy_vision.onnx" +2) python3 create_dummy_model.py \ + --inputs "input_ids; TensorProto.INT64; ['batch_size', 'sequence_length']" "image_features; TensorProto.FLOAT16; ['num_image_tokens', 3072]" \ + --outputs "inputs_embeds; TensorProto.FLOAT; ['batch_size', 'sequence_length', 3072]" \ + --filename "dummy_embedding.onnx" +3) python3 create_dummy_model.py \ + --inputs "inputs_embeds; TensorProto.FLOAT; ['batch_size', 'sequence_length', 3072]" "attention_mask; TensorProto.INT64; ['batch_size', 'total_sequence_length']" "past_key_values.0.key; TensorProto.FLOAT; ['batch_size', 32, 'past_sequence_length', 96]" "past_key_values.0.value; TensorProto.FLOAT; ['batch_size', 32, 'past_sequence_length', 96]" \ + --outputs "logits; TensorProto.FLOAT; ['batch_size', 'sequence_length', 32064]" "present.0.key; TensorProto.FLOAT; ['batch_size', 32, 'total_sequence_length', 96]" "present.0.value; TensorProto.FLOAT; ['batch_size', 32, 'total_sequence_length', 96]" \ + --filename "dummy_text.onnx" +""" + +import argparse +import numpy as np +import onnx +from onnx import helper, numpy_helper, TensorProto + +def get_args(): + parser = argparse.ArgumentParser() + parser.add_argument( + "-i", + "--inputs", + metavar="(NAME; DTYPE; SHAPE)", + nargs='+', + help="Inputs of the form '(input_name; input_dtype; input_shape)' for model" + ) + parser.add_argument( + "-o", + "--outputs", + metavar="(NAME; DTYPE; SHAPE)", + nargs='+', + help="Outputs of the form '(output_name; output_dtype; output_shape)' for model" + ) + parser.add_argument( + "-f", + "--filename", + type=str, + help="Filename to save dummy model as", + ) + + args = parser.parse_args() + return args + +def parse_args(input_or_output): + list_of_inputs_or_outputs = [] + for input_str in input_or_output: + input_or_output_to_add = input_str.split("; ") + input_or_output_to_add = [elm.strip() for elm in input_or_output_to_add] + list_of_inputs_or_outputs.append(input_or_output_to_add) + return list_of_inputs_or_outputs + +def get_input_or_output_value_infos(input_or_outputs): + value_infos = [] + for input_or_output in input_or_outputs: + print(input_or_output) + name, dtype, shape = input_or_output[0], eval(input_or_output[1]), eval(input_or_output[2]) + value_info = helper.make_tensor_value_info(name, dtype, shape) + value_infos.append(value_info) + return value_infos + +def get_dummy_tensor_shape(shape): + np_shape = () + for dim in shape: + if type(dim) == str: + np_shape += (2,) + elif type(dim) == int: + np_shape += (dim,) + else: + raise NotImplementedError(f"Unknown dim type: {type(dim)}") + return np_shape + +def get_output_initializers(outputs): + initializers = [] + for output in outputs: + name, dtype, shape = output[0], eval(output[1]), eval(output[2]) + np_shape = get_dummy_tensor_shape(shape) + np_dtype = to_numpy_dtype[dtype] + tensor = numpy_helper.from_array(np.zeros(np_shape, dtype=np_dtype)) + tensor.name = name + initializers.append(tensor) + return initializers + +def main(): + args = get_args() + args.inputs = parse_args(args.inputs) + args.outputs = parse_args(args.outputs) + + # Create dummy model + model = helper.make_model( + opset_imports=[helper.make_operatorsetid('', 14)], + ir_version=7, + producer_name="onnxruntime-genai", + producer_version="0.0.0", + graph=helper.make_graph( + name="main_graph", + inputs=get_input_or_output_value_infos(args.inputs), + outputs=get_input_or_output_value_infos(args.outputs), + initializer=get_output_initializers(args.outputs), + value_info=[], + nodes=[], + ) + ) + onnx.save_model( + model, + args.filename, + ) + +if __name__ == "__main__": + # Map TensorProto dtypes to NumPy dtypes + to_numpy_dtype = { + TensorProto.INT8: np.uint8, + TensorProto.INT32: np.int32, + TensorProto.INT64: np.int64, + TensorProto.FLOAT16: np.float16, + TensorProto.FLOAT: np.float32, + } + main() diff --git a/test/test_models/images/10809054.jpg b/test/test_models/images/10809054.jpg new file mode 100644 index 000000000..117ca64be Binary files /dev/null and b/test/test_models/images/10809054.jpg differ diff --git a/test/test_models/pipeline-model/added_tokens.json b/test/test_models/pipeline-model/added_tokens.json new file mode 100644 index 000000000..7debb4784 --- /dev/null +++ b/test/test_models/pipeline-model/added_tokens.json @@ -0,0 +1,40 @@ +{ + "\t\t": 50294, + "\t\t\t": 50293, + "\t\t\t\t": 50292, + "\t\t\t\t\t": 50291, + "\t\t\t\t\t\t": 50290, + "\t\t\t\t\t\t\t": 50289, + "\t\t\t\t\t\t\t\t": 50288, + "\t\t\t\t\t\t\t\t\t": 50287, + " ": 50286, + " ": 50285, + " ": 50284, + " ": 50283, + " ": 50282, + " ": 50281, + " ": 50280, + " ": 50279, + " ": 50278, + " ": 50277, + " ": 50276, + " ": 50275, + " ": 50274, + " ": 50273, + " ": 50272, + " ": 50271, + " ": 50270, + " ": 50269, + " ": 50268, + " ": 50267, + " ": 50266, + " ": 50265, + " ": 50264, + " ": 50263, + " ": 50262, + " ": 50261, + " ": 50260, + " ": 50259, + " ": 50258, + " ": 50257 +} diff --git a/test/test_models/pipeline-model/genai_config.json b/test/test_models/pipeline-model/genai_config.json new file mode 100644 index 000000000..060edf05d --- /dev/null +++ b/test/test_models/pipeline-model/genai_config.json @@ -0,0 +1,96 @@ +{ + "model": { + "bos_token_id": 50256, + "context_length": 2048, + "decoder": { + "session_options": { + "log_id": "onnxruntime-genai", + "provider_options": [ + {} + ] + }, + "head_size": 80, + "hidden_size": 2560, + "inputs": { + "input_ids": "input_ids", + "attention_mask": "attention_mask", + "past_key_names": "past_key_values.%d.key", + "past_value_names": "past_key_values.%d.value" + }, + "outputs": { + "logits": "logits", + "present_key_names": "present.%d.key", + "present_value_names": "present.%d.value" + }, + "num_attention_heads": 32, + "num_hidden_layers": 1, + "num_key_value_heads": 32, + "pipeline": [ + { + "embeddings": { + "filename": "embeds.onnx", + "inputs": [ + "input_ids" + ], + "outputs": [ + "/model/embed_tokens/Gather/output_0" + ] + }, + "transformer": { + "filename": "transformer.onnx", + "inputs": [ + "/model/embed_tokens/Gather/output_0", + "attention_mask", + "past_key_values.0.key", + "past_key_values.0.value" + ], + "outputs": [ + "/model/layers.1/final_norm_layernorm/output_0", + "present.0.key", + "present.0.value" + ], + "session_options": { + "log_id": "onnxruntime-genai", + "provider_options": [ + { + "cuda": { + "enable_cuda_graph": "0" + } + } + ] + } + }, + "language_model_head": { + "filename": "lm_head.onnx", + "inputs": [ + "/model/layers.1/final_norm_layernorm/output_0" + ], + "outputs": [ + "logits" + ] + } + } + ] + }, + "eos_token_id": 50256, + "pad_token_id": 50256, + "type": "decoder-pipeline", + "vocab_size": 51200 + }, + "search": { + "diversity_penalty": 0.0, + "do_sample": false, + "early_stopping": true, + "length_penalty": 1.0, + "max_length": 2048, + "min_length": 0, + "no_repeat_ngram_size": 0, + "num_beams": 1, + "num_return_sequences": 1, + "past_present_share_buffer": true, + "repetition_penalty": 1.0, + "temperature": 1.0, + "top_k": 1, + "top_p": 1.0 + } +} \ No newline at end of file diff --git a/test/test_models/pipeline-model/special_tokens_map.json b/test/test_models/pipeline-model/special_tokens_map.json new file mode 100644 index 000000000..7fb88369a --- /dev/null +++ b/test/test_models/pipeline-model/special_tokens_map.json @@ -0,0 +1,23 @@ +{ + "bos_token": { + "content": "<|endoftext|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "<|endoftext|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "<|endoftext|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/test/test_models/pipeline-model/tokenizer.json b/test/test_models/pipeline-model/tokenizer.json new file mode 100644 index 000000000..42abda8d6 --- /dev/null +++ b/test/test_models/pipeline-model/tokenizer.json @@ -0,0 +1,100648 @@ +{ + "version": "1.0", + "truncation": null, + "padding": null, + "added_tokens": [ + { + "id": 50256, + "content": "<|endoftext|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 50257, + "content": " ", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 50258, + "content": " ", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 50259, + "content": " ", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 50260, + "content": " ", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 50261, + "content": " ", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 50262, + "content": " ", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 50263, + "content": " ", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 50264, + "content": " ", + "single_word": false, + 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10811, + "Ġgenes": 10812, + "ching": 10813, + "Hey": 10814, + "Ġtactics": 10815, + "ĠMexican": 10816, + "Ġvend": 10817, + "Ġhes": 10818, + "quer": 10819, + "Ġnoting": 10820, + "ĠCameron": 10821, + "Ġtargeting": 10822, + "rock": 10823, + "Ġcredits": 10824, + "Ġemotions": 10825, + "Ġrepresentatives": 10826, + "news": 10827, + "Ġlegislative": 10828, + "Ġremoving": 10829, + "Ġtweeted": 10830, + "ĠCarter": 10831, + "ĠFixed": 10832, + "Ġforcing": 10833, + "Ġspeaker": 10834, + "Ġmales": 10835, + "ĠVietnam": 10836, + "lined": 10837, + "Ġconcepts": 10838, + "Ġvoices": 10839, + "oir": 10840, + "ĠTrib": 10841, + "Whe": 10842, + "ĠJerusalem": 10843, + "ĠSant": 10844, + "Ġcul": 10845, + "Ġlady": 10846, + "ĠHawai": 10847, + "Ġarts": 10848, + "ĠInn": 10849, + "ĠMachine": 10850, + "ĠEmperor": 10851, + "Ġslot": 10852, + "gly": 10853, + "ĠProcess": 10854, + "III": 10855, + "Ġathletes": 10856, + "ĠTemple": 10857, + "ĠRepresent": 10858, + "Ġpresc": 10859, + "Ġtons": 10860, + "Ġgolden": 10861, + "Ġpunch": 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"Though": 10915, + "ĠRank": 10916, + "QU": 10917, + "ĠRoberts": 10918, + "what": 10919, + "rend": 10920, + "Ġdisappear": 10921, + "Ġspawn": 10922, + "ĠLam": 10923, + "ois": 10924, + "Ġdeserve": 10925, + "Ġminimal": 10926, + "Ġnervous": 10927, + "ĠWould": 10928, + "Ġrook": 10929, + "ĠVancouver": 10930, + "Ġresign": 10931, + "shire": 10932, + "ĠWorks": 10933, + "ĠBuild": 10934, + "Ġaffordable": 10935, + "ĠGary": 10936, + "ĠArena": 10937, + "Ġhanging": 10938, + "Ġimplications": 10939, + "ĠSong": 10940, + "Ġmaintaining": 10941, + "Ġguards": 10942, + "CON": 10943, + "Ġderived": 10944, + "Ġexecuted": 10945, + "Ġtheories": 10946, + "Ġquoted": 10947, + "ĠAndre": 10948, + "oga": 10949, + "seless": 10950, + "info": 10951, + "ĠBelg": 10952, + "Ġtears": 10953, + "ĠSurv": 10954, + "Ġbirthday": 10955, + "igious": 10956, + "immer": 10957, + "Ġspectrum": 10958, + "Ġarchitecture": 10959, + "Ġrecruit": 10960, + "arma": 10961, + "Table": 10962, + "Ġmonsters": 10963, + "ĠGov": 10964, + "Ġdestination": 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14815, + "gmail": 14816, + "entials": 14817, + "ĠSud": 14818, + "ĠMelbourne": 14819, + "Ġarriving": 14820, + "Ġquantum": 14821, + "eff": 14822, + "ropolitan": 14823, + "Tri": 14824, + "Ġfuneral": 14825, + "ĠIR": 14826, + "ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ": 14827, + "ĠCob": 14828, + "itably": 14829, + "Ġturb": 14830, + "Ġcombo": 14831, + "Review": 14832, + "Ġdeployment": 14833, + "uity": 14834, + "ĠBott": 14835, + "Ġinvisible": 14836, + "Ġrendering": 14837, + "Ġunlocked": 14838, + "Ġaqu": 14839, + "ĠVladimir": 14840, + "Ġpad": 14841, + "ĠBrain": 14842, + "ĠLegacy": 14843, + "dragon": 14844, + "ĠKurdish": 14845, + "Ġsounded": 14846, + "Ġdetained": 14847, + "ĠDM": 14848, + "gary": 14849, + "Ġdaughters": 14850, + "Ġdisturbing": 14851, + "uka": 14852, + "ĠParad": 14853, + "Ġtast": 14854, + "Ġunfortunate": 14855, + "Ġul": 14856, + "emin": 14857, + "Ġattendance": 14858, + "trl": 14859, + "Ġparks": 14860, + "ĠMemorial": 14861, + "ĠAlice": 14862, + "othy": 14863, + "guard": 14864, + "ĠDise": 14865, + "ĠShan": 14866, + "ĠForum": 14867, + "Rich": 14868, + "Ġshifted": 14869, + "uez": 14870, + "Ġlighter": 14871, + "ĠMagn": 14872, + "Ġcod": 14873, + "Sch": 14874, + "hammad": 14875, + "Pub": 14876, + "350": 14877, + "ĠPokemon": 14878, + "Ġprototype": 14879, + "Ġunre": 14880, + "Base": 14881, + "ĠStudents": 14882, + "ĠReply": 14883, + "ĠCommunist": 14884, + "Ġgau": 14885, + "ĠTyler": 14886, + "IZ": 14887, + "Ġparticipated": 14888, + "Ġsuprem": 14889, + "ĠDetails": 14890, + "Ġvessels": 14891, + "rod": 14892, + "Ġtribe": 14893, + "keep": 14894, + "Ġassumptions": 14895, + "Ġpound": 14896, + "Ġcrude": 14897, + "ĠAvailable": 14898, + "Ġswimming": 14899, + "Ġinclusion": 14900, + "Ġadvances": 14901, + "culation": 14902, + "Ġconservation": 14903, + "Ġoverd": 14904, + "ĠBuffalo": 14905, + "Article": 14906, + "edge": 14907, + "Ġawa": 14908, + "ĠMadison": 14909, + "Ġsidew": 14910, + "Ġcatast": 14911, + "ĠKrist": 14912, + "ucle": 14913, + "ĠHighway": 14914, + "ĠTerror": 14915, + 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"Ult": 16301, + "project": 16302, + "Ġundermin": 16303, + "Ġsequel": 16304, + "Sam": 16305, + "ĠDarkness": 16306, + "Ġreception": 16307, + "bull": 16308, + "YS": 16309, + "ĠVir": 16310, + "Ġsequences": 16311, + "ĠCoin": 16312, + "Ġoutfit": 16313, + "ĠWait": 16314, + "119": 16315, + "Ġdelivers": 16316, + "......": 16317, + "Ġblown": 16318, + "ĠEsc": 16319, + "ĠMath": 16320, + "perm": 16321, + "ĠUl": 16322, + "Ġglim": 16323, + "Ġfacial": 16324, + "Ġgreenhouse": 16325, + "Ġtokens": 16326, + "/-": 16327, + "ĠAnnual": 16328, + "ĠONE": 16329, + "Ġteenage": 16330, + "ĠPhysical": 16331, + "ĠLang": 16332, + "ĠCelt": 16333, + "Ġsued": 16334, + "ividually": 16335, + "Ġpatience": 16336, + "chair": 16337, + "regular": 16338, + "Ġaug": 16339, + "inv": 16340, + "except": 16341, + "ĠLil": 16342, + "Ġnest": 16343, + "fd": 16344, + "sum": 16345, + "ĠChase": 16346, + "Russia": 16347, + "ĠJennifer": 16348, + "Ġoffseason": 16349, + "Overall": 16350, + "Fore": 16351, + "Ġriot": 16352, + "Aud": 16353, + 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"aucus": 16710, + "Ġadaptation": 16711, + "ĠAirlines": 16712, + "Ġarchae": 16713, + "ĠIde": 16714, + "Ġbikes": 16715, + "Ġliterary": 16716, + "Ġinfluences": 16717, + "ĠUsed": 16718, + "Creat": 16719, + "Ġplea": 16720, + "ĠDefence": 16721, + "ĠAssass": 16722, + "Ġpond": 16723, + "ULT": 16724, + ")\"": 16725, + "Ġevaluated": 16726, + "Ġobtaining": 16727, + "Ġdemographic": 16728, + "Ġvigil": 16729, + "aley": 16730, + "Ġspouse": 16731, + "ĠSeahawks": 16732, + "respons": 16733, + "ĠBelt": 16734, + "umatic": 16735, + "Ġrises": 16736, + "runner": 16737, + "ĠMichelle": 16738, + "Ġpotent": 16739, + "race": 16740, + "ĠPAC": 16741, + "Find": 16742, + "olesterol": 16743, + "ISS": 16744, + "ĠIntroduced": 16745, + "resses": 16746, + "ignment": 16747, + "Os": 16748, + "ĠTu": 16749, + "ĠDex": 16750, + "icides": 16751, + "Ġsparked": 16752, + "ĠLaura": 16753, + "ĠBryant": 16754, + "Ġsmiling": 16755, + "ĠNexus": 16756, + "Ġdefendants": 16757, + "ĠCatal": 16758, + "Ġdishes": 16759, + "shaped": 16760, + 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16813, + "efficient": 16814, + "Ġprevalence": 16815, + "Ġeconomists": 16816, + "118": 16817, + "Thread": 16818, + "ordable": 16819, + "ODE": 16820, + "ĠCant": 16821, + "=-=-": 16822, + "ifiable": 16823, + "ĠAround": 16824, + "Ġpole": 16825, + "Ġwillingness": 16826, + "CLA": 16827, + "ĠKid": 16828, + "Ġcomplement": 16829, + "Ġscattered": 16830, + "Ġinmates": 16831, + "Ġbleeding": 16832, + "every": 16833, + "Ġqueue": 16834, + "ĠTrain": 16835, + "Ġhij": 16836, + "Ġmelee": 16837, + "pleted": 16838, + "Ġdigit": 16839, + "Ġgem": 16840, + "official": 16841, + "Ġlifting": 16842, + "е": 16843, + "Requ": 16844, + "itutes": 16845, + "Ġpackaging": 16846, + "ĠWorkers": 16847, + "hran": 16848, + "ĠLebanon": 16849, + "olesc": 16850, + "Ġpunished": 16851, + "ĠJuan": 16852, + "Ġjam": 16853, + "ĠDocument": 16854, + "Ġmapping": 16855, + "icates": 16856, + "Ġinevitably": 16857, + "Ġvanilla": 16858, + "ĠTon": 16859, + "Ġwatches": 16860, + "Ġleagues": 16861, + "Ġinitiated": 16862, + "degree": 16863, + 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"Ġinsists": 17424, + "Ġconfigure": 17425, + "Ġ(#": 17426, + "ĠSimple": 17427, + "ĠScroll": 17428, + "UTC": 17429, + "175": 17430, + "ĠKon": 17431, + "Ġmarketplace": 17432, + "ĠãĤ": 17433, + "Ġrefres": 17434, + "Ġgates": 17435, + "erred": 17436, + "ĠPod": 17437, + "Ġbehave": 17438, + "Frank": 17439, + "node": 17440, + "Ġendorsed": 17441, + "hett": 17442, + "asive": 17443, + "ĠHomeland": 17444, + "Ġrides": 17445, + "ĠLeave": 17446, + "erness": 17447, + "Ġflooding": 17448, + "AFP": 17449, + "Ġrisen": 17450, + "Ġcontinually": 17451, + "Ġunanim": 17452, + "ĠContract": 17453, + "ĠPas": 17454, + "Ġguided": 17455, + "ĠChile": 17456, + "bd": 17457, + "Ġsucc": 17458, + "ptic": 17459, + "Ġcommittees": 17460, + "ĠLuther": 17461, + "ĠAnyone": 17462, + "Ġsab": 17463, + "124": 17464, + "Ġpixel": 17465, + "ĠBak": 17466, + "ĠTag": 17467, + "ĠBennett": 17468, + "Enter": 17469, + "small": 17470, + "ĠPresidential": 17471, + "Ġpul": 17472, + "Ġcontrace": 17473, + "archive": 17474, + "Ġcoastal": 17475, + 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"Ġredist": 17678, + "Ġunint": 17679, + "graduate": 17680, + "ãĥķ": 17681, + "ĠWILL": 17682, + "ãģ®ç": 17683, + "ĠCritical": 17684, + "Ġfisher": 17685, + "Ġvicious": 17686, + "Ġreversed": 17687, + "Year": 17688, + "ĠSox": 17689, + "Ġshootings": 17690, + "Ġfilming": 17691, + "Ġtouchdowns": 17692, + "aires": 17693, + "mel": 17694, + "Ġgrandfather": 17695, + "Ġaffection": 17696, + "ingle": 17697, + "Ġoverly": 17698, + "Additional": 17699, + "Ġsupreme": 17700, + "ĠGrad": 17701, + "Ġsporting": 17702, + "Ġmercy": 17703, + "ĠBrooks": 17704, + "ounty": 17705, + "Ġperforms": 17706, + "Ġtightly": 17707, + "Ġdemons": 17708, + "Ġkillings": 17709, + "Ġfaction": 17710, + "ĠNova": 17711, + "auts": 17712, + "Ġundoubtedly": 17713, + "arin": 17714, + "Ġunderway": 17715, + "rak": 17716, + "Ġliv": 17717, + "ĠRegion": 17718, + "Ġbriefing": 17719, + "sers": 17720, + "cloud": 17721, + "ĠMik": 17722, + "usp": 17723, + "Ġprediction": 17724, + "azor": 17725, + "Ġportable": 17726, + "ĠGand": 17727, + "Ġpresenting": 17728, + "Ġ1080": 17729, + "»": 17730, + "ushi": 17731, + "ĠSpark": 17732, + "thereum": 17733, + "Ġjustification": 17734, + "ĠNy": 17735, + "Ġcontractors": 17736, + "mingham": 17737, + "ĠStyle": 17738, + "åħ": 17739, + "ĠChronicles": 17740, + "ĠPicture": 17741, + "Ġproving": 17742, + "Ġwives": 17743, + "sett": 17744, + "Ġmolecules": 17745, + "ĠFairy": 17746, + "Ġconsisting": 17747, + "Ġpier": 17748, + "alone": 17749, + "inition": 17750, + "Ġnucle": 17751, + "json": 17752, + "Ġgotta": 17753, + "Ġmobil": 17754, + "Ġverbal": 17755, + "arium": 17756, + "Ġmonument": 17757, + "ucked": 17758, + "Ġ256": 17759, + "Tech": 17760, + "minecraft": 17761, + "ĠTrack": 17762, + "Ġtile": 17763, + "Ġcompatibility": 17764, + "asis": 17765, + "Ġsadd": 17766, + "Ġinstructed": 17767, + "ĠMueller": 17768, + "Ġlethal": 17769, + "Ġhormone": 17770, + "Ġorche": 17771, + "else": 17772, + "Ġskelet": 17773, + "Ġentertaining": 17774, + "Ġminimize": 17775, + "again": 17776, + "Ġundergo": 17777, + "Ġconstraints": 17778, + "Ġcigarette": 17779, + "ĠIslamist": 17780, + "Ġtravels": 17781, + "ĠPanthers": 17782, + "lings": 17783, + "Care": 17784, + "Ġlawsuits": 17785, + "uras": 17786, + "Ġcryst": 17787, + "Ġlowered": 17788, + "Ġaerial": 17789, + "Ġcombinations": 17790, + "Ġhaun": 17791, + "Ġcha": 17792, + "Ġvine": 17793, + "Ġquantities": 17794, + "Ġlinking": 17795, + "bank": 17796, + "Ġsoy": 17797, + "Bill": 17798, + "ĠAngela": 17799, + "Ġrecipient": 17800, + "ĠProtest": 17801, + "Ġsocket": 17802, + "Ġsolidarity": 17803, + "ĠâĨ": 17804, + "mill": 17805, + "Ġvaries": 17806, + "ĠPakistani": 17807, + "Dragon": 17808, + "Ġune": 17809, + "Ġhorizon": 17810, + "³³³³³³³³": 17811, + "Ġprovinces": 17812, + "Ġfrankly": 17813, + "Ġenacted": 17814, + "notes": 17815, + "['": 17816, + "Ġ192": 17817, + "ocracy": 17818, + "Ġendorsement": 17819, + "Ġovertime": 17820, + "True": 17821, + "Lab": 17822, + "licted": 17823, + "ĠDNC": 17824, + "Ġbeats": 17825, + "ĠJamie": 17826, + "152": 17827, + "ĠINT": 17828, + "Contact": 17829, + "Ġaccounted": 17830, + "hash": 17831, + "ĠPackers": 17832, + "pires": 17833, + "Ġlesbian": 17834, + "Ġamendments": 17835, + "Ġhopeful": 17836, + "ĠFinland": 17837, + "Ġspotlight": 17838, + "Ġconfigured": 17839, + "Ġtroubled": 17840, + "Ġgaze": 17841, + "ĠCalgary": 17842, + "Ġreliability": 17843, + "Ġinsurg": 17844, + "swer": 17845, + "buy": 17846, + "ĠSkin": 17847, + "Ġpixels": 17848, + "Ġhandgun": 17849, + "Ġparas": 17850, + "Ġcategor": 17851, + "ĠEL": 17852, + "ĠRex": 17853, + "Indeed": 17854, + "Ġkinda": 17855, + "Ġconjunction": 17856, + "ĠBryan": 17857, + "ĠManufact": 17858, + "yang": 17859, + "Plus": 17860, + "SQL": 17861, + "ishment": 17862, + "Ġdominate": 17863, + "Ġnail": 17864, + "Ġoath": 17865, + "Ġerupt": 17866, + "ĠFine": 17867, + "itbart": 17868, + "ĠChip": 17869, + "ĠAbd": 17870, + "ĠNam": 17871, + "Ġbuyer": 17872, + "Ġdissent": 17873, + "Leaks": 17874, + "Contin": 17875, + "Ġrider": 17876, + "ĠSomeone": 17877, + "Ġillusion": 17878, + "cin": 17879, + "ĠBoeing": 17880, + "Ġinadequ": 17881, + "ovation": 17882, + "iants": 17883, + "Ġrebuild": 17884, + "450": 17885, + "ĠDestiny": 17886, + "SW": 17887, + "ĠTill": 17888, + "Hit": 17889, + "iaz": 17890, + "ĠBangl": 17891, + "achers": 17892, + "ĠReform": 17893, + "Ġsegments": 17894, + "Ġsystematic": 17895, + "dc": 17896, + "ĠConservatives": 17897, + "Ġportal": 17898, + "hor": 17899, + "ĠDragonbound": 17900, + "Ġdragged": 17901, + "omo": 17902, + "Ġthee": 17903, + "advert": 17904, + "ĠReports": 17905, + "ĠEt": 17906, + "Ġbarrels": 17907, + "August": 17908, + "Ġcomparisons": 17909, + "Ġhex": 17910, + "Ġanthrop": 17911, + "\"[": 17912, + "borough": 17913, + "abi": 17914, + "Ġpictured": 17915, + "playing": 17916, + "ĠAddress": 17917, + "ĠMirror": 17918, + "Smith": 17919, + "Ġtires": 17920, + "ĠNPR": 17921, + "AAAA": 17922, + "Ġclassification": 17923, + "ĠThan": 17924, + "ĠHarm": 17925, + "ĠRA": 17926, + "Ġrejection": 17927, + "mination": 17928, + "Ġranged": 17929, + "ĠFalls": 17930, + "DI": 17931, + "Host": 17932, + "ãĤ´": 17933, + "ĠExample": 17934, + "listed": 17935, + "thirds": 17936, + "Ġsafegu": 17937, + "brand": 17938, + "Ġprobable": 17939, + "Canada": 17940, + "ITION": 17941, + "ĠQaeda": 17942, + "Ġchick": 17943, + "Ġimports": 17944, + "hit": 17945, + "loc": 17946, + "WW": 17947, + "Ġblew": 17948, + "Ġanytime": 17949, + "Ġwholes": 17950, + "iked": 17951, + "Ġcalculation": 17952, + "create": 17953, + "ĠOri": 17954, + "Ġupgraded": 17955, + "Ġappar": 17956, + "utory": 17957, + "ĠMol": 17958, + "Brit": 17959, + "ĠJong": 17960, + "INAL": 17961, + "ĠStarting": 17962, + "Ġdice": 17963, + "urtle": 17964, + "Ġrelying": 17965, + "closure": 17966, + "Ġprofitable": 17967, + "Ġslaughter": 17968, + "ĠManual": 17969, + "caster": 17970, + "Ġ\"$": 17971, + "Ġfeather": 17972, + "ĠSimply": 17973, + "ieves": 17974, + "Ġdeterior": 17975, + "ĠPCI": 17976, + "Ġstamp": 17977, + "Ġflaws": 17978, + "Ġshade": 17979, + "hammer": 17980, + "Ġpassport": 17981, + "Ġconting": 17982, + "amel": 17983, + "Ġobservers": 17984, + "Ġneglect": 17985, + "ĠRB": 17986, + "ĠBrotherhood": 17987, + "Ġskeptical": 17988, + "family": 17989, + "usk": 17990, + "Ġemotionally": 17991, + "âĻ": 17992, + "ĠBeta": 17993, + "asonable": 17994, + "idity": 17995, + "ĠMul": 17996, + "Ġkicking": 17997, + "ĠCarm": 17998, + "ollah": 17999, + "VERTIS": 18000, + "ĠAthen": 18001, + "Ġladder": 18002, + "ĠBullet": 18003, + "å£": 18004, + "0001": 18005, + "ĠWildlife": 18006, + "ĠMask": 18007, + "ĠNan": 18008, + "Rev": 18009, + "Ġunacceptable": 18010, + "legal": 18011, + "Ġcrowded": 18012, + "agi": 18013, + "ĠCox": 18014, + "je": 18015, + "Ġmorality": 18016, + "Ġfuels": 18017, + "Ġcables": 18018, + "Ġmankind": 18019, + "ĠCaribbean": 18020, + "Ġanchor": 18021, + "Ġbyte": 18022, + "ĠOften": 18023, + "ĠOz": 18024, + "Ġcrafted": 18025, + "Ġhistorian": 18026, + "ĠWu": 18027, + "Ġtowers": 18028, + "ĠCitizens": 18029, + "Ġhelm": 18030, + "Ġcredentials": 18031, + "Ġsingular": 18032, + "ĠJesse": 18033, + "Ġtackles": 18034, + "Ġcontempt": 18035, + "Ġafore": 18036, + "ĠShadows": 18037, + "Ġnil": 18038, + "Ġurgent": 18039, + "apple": 18040, + "blood": 18041, + "Ġvon": 18042, + "Ġoffline": 18043, + "Ġbreathe": 18044, + "Ġjumps": 18045, + "Ġirrelevant": 18046, + "oxic": 18047, + "omal": 18048, + "important": 18049, + "Jim": 18050, + "Ġgloves": 18051, + "arming": 18052, + "depth": 18053, + "Ġtalents": 18054, + "ookie": 18055, + "ĠSB": 18056, + "Ġpalm": 18057, + "uffs": 18058, + "esta": 18059, + "IGH": 18060, + "Ġcanon": 18061, + "ĠVerizon": 18062, + "ĠPle": 18063, + "Ġcoupled": 18064, + "velt": 18065, + "Ġfundraising": 18066, + "ĠGetting": 18067, + "ĠDLC": 18068, + "Ġmathematical": 18069, + "ĠHS": 18070, + "ĠCardinals": 18071, + "telling": 18072, + "Ġsponsors": 18073, + "ĠÏ": 18074, + "ĠBulls": 18075, + "option": 18076, + "Ġpropose": 18077, + "Ġmemorable": 18078, + "Ġembraced": 18079, + "Ġdeclining": 18080, + "Health": 18081, + "eda": 18082, + "Ġ};": 18083, + "Ġspam": 18084, + "mile": 18085, + "Ġpitcher": 18086, + "ĠEight": 18087, + "Ġcaring": 18088, + "utic": 18089, + "role": 18090, + "Ġairline": 18091, + "ernandez": 18092, + "ĠAthlet": 18093, + "Ġcertification": 18094, + "uxe": 18095, + "riger": 18096, + "Ġempir": 18097, + "Ġsensation": 18098, + "Ġdism": 18099, + "Ġbolt": 18100, + "Ġevolve": 18101, + "House": 18102, + "Ġconsultation": 18103, + "ĠDuty": 18104, + "Ġtouches": 18105, + "ĠNathan": 18106, + "Ġfaint": 18107, + "had": 18108, + "\"(": 18109, + "ĠConsumer": 18110, + "ĠExtreme": 18111, + "Ġ127": 18112, + "ĠHerm": 18113, + "ĠSacrament": 18114, + "izoph": 18115, + "Ġanxious": 18116, + "ulously": 18117, + "Ġsocially": 18118, + "ĠUTC": 18119, + "Ġsolving": 18120, + "ĠLetter": 18121, + "History": 18122, + "educ": 18123, + "Price": 18124, + "));": 18125, + "Ġreload": 18126, + "amic": 18127, + "Ġpork": 18128, + "Ġdiscourse": 18129, + "Ġtournaments": 18130, + "airo": 18131, + "ĠKur": 18132, + "ĠCosta": 18133, + "Ġviolating": 18134, + "Ġinterfere": 18135, + "Ġrecreational": 18136, + "uffle": 18137, + "Ġspeeches": 18138, + "Ġneeding": 18139, + "Ġremembers": 18140, + "Ġcredited": 18141, + "nia": 18142, + "focused": 18143, + "amera": 18144, + "Ġbru": 18145, + "umbs": 18146, + "ĠCuban": 18147, + "Ġpreceding": 18148, + "Ġnonsense": 18149, + "acial": 18150, + "Ġsmartphones": 18151, + "ĠStories": 18152, + "Sports": 18153, + "ĠEmergency": 18154, + "ouncing": 18155, + "efined": 18156, + "Ġber": 18157, + "Ġconsulting": 18158, + "Ġmasters": 18159, + "heastern": 18160, + ".\"[": 18161, + "ĠRunning": 18162, + "Ġsuscept": 18163, + "ĠFeng": 18164, + "America": 18165, + "prises": 18166, + "stitial": 18167, + "ĠWeekly": 18168, + "ĠGreater": 18169, + "modules": 18170, + "ifter": 18171, + "Graphics": 18172, + "uler": 18173, + "Ġwholly": 18174, + "Ġsuppress": 18175, + "Ġconcealed": 18176, + "Ġhappily": 18177, + "Ġaccepts": 18178, + "ĠEnjoy": 18179, + "Ġrivers": 18180, + "ĠExcept": 18181, + "225": 18182, + "ĠNHS": 18183, + "ĠMcConnell": 18184, + "Ġpussy": 18185, + "ferred": 18186, + "utable": 18187, + "Ġattain": 18188, + "Ġ>=": 18189, + "Ġdeposits": 18190, + "rophic": 18191, + "Ġnotorious": 18192, + "ĠShaw": 18193, + "ilitation": 18194, + "Ġepidemic": 18195, + "allic": 18196, + "Ġsmallest": 18197, + "ovich": 18198, + "Ġaccessories": 18199, + "perties": 18200, + "Ġsurplus": 18201, + "ĠMech": 18202, + "Ġambig": 18203, + "ĠImmigration": 18204, + "Ġchim": 18205, + "eval": 18206, + "Ġpracticing": 18207, + "ĠMystery": 18208, + "Ġdomains": 18209, + "ĠSilicon": 18210, + "apps": 18211, + "Ġkilometers": 18212, + "ea": 18213, + "ĠSmash": 18214, + "Ġwarranty": 18215, + "Ġnost": 18216, + "sil": 18217, + "rev": 18218, + "Jon": 18219, + "ĠDublin": 18220, + "Ġtastes": 18221, + "Ġbout": 18222, + "great": 18223, + "error": 18224, + "Ġswitches": 18225, + "ĠBapt": 18226, + "DO": 18227, + "oki": 18228, + "Ġsourced": 18229, + "produ": 18230, + "Ġattachment": 18231, + "ĠIssue": 18232, + "ĠQuestion": 18233, + "Join": 18234, + "Ġfitted": 18235, + "Ġunlawful": 18236, + "^^": 18237, + "erek": 18238, + "Ġauthentication": 18239, + "Ġstole": 18240, + "Ġaccountability": 18241, + "label": 18242, + "Search": 18243, + "Ġalbeit": 18244, + "atican": 18245, + "funded": 18246, + "ĠAdding": 18247, + "ĠIQ": 18248, + "Ġsubmar": 18249, + "lit": 18250, + "aque": 18251, + "ĠLearning": 18252, + "Ġinteger": 18253, + "Master": 18254, + "ĠChrom": 18255, + "Ġpremier": 18256, + "Op": 18257, + "ĠLiu": 18258, + "Ġblessed": 18259, + "ĠGlobe": 18260, + "ĠResponse": 18261, + "Ġlegitim": 18262, + "ĠMerkel": 18263, + "Ġdisposal": 18264, + "´": 18265, + "Ġgauge": 18266, + "peat": 18267, + "Ġinduced": 18268, + "Ġquestionable": 18269, + "arthy": 18270, + "ĠVit": 18271, + "ĠFeed": 18272, + "Until": 18273, + "Ut": 18274, + "worthy": 18275, + "RY": 18276, + "ĠHerald": 18277, + "ĠHammer": 18278, + "Ġmedal": 18279, + "ĠRivers": 18280, + "ĠHack": 18281, + "Ġclarify": 18282, + "Ġtracked": 18283, + "Ġautonomous": 18284, + "Ġtenant": 18285, + "ĠQatar": 18286, + "erie": 18287, + "Ġgrim": 18288, + 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"202": 19004, + "Ġzombies": 19005, + "Final": 19006, + "ĠMillenn": 19007, + "Ġmodifications": 19008, + "ĠVision": 19009, + "ĠMoses": 19010, + "verb": 19011, + "iterranean": 19012, + "ĠJet": 19013, + "Ġnaval": 19014, + "ĠAgg": 19015, + "Ġurl": 19016, + "Ġvictories": 19017, + "Ġnonetheless": 19018, + "Ġinjust": 19019, + "ĠFact": 19020, + "çļ": 19021, + "Ġinsufficient": 19022, + "review": 19023, + "facebook": 19024, + "Ġnegotiating": 19025, + "Ġguarantees": 19026, + "imen": 19027, + "utenberg": 19028, + "Ġgambling": 19029, + "Ġcongr": 19030, + "Loading": 19031, + "Ġnevertheless": 19032, + "Ġpresidents": 19033, + "ĠIndustrial": 19034, + "Ġ118": 19035, + "Ġpoured": 19036, + "ĠTory": 19037, + "Ġ175": 19038, + "Ġ:=": 19039, + "Scott": 19040, + "angered": 19041, + "Tok": 19042, + "Ġorganizers": 19043, + "Mat": 19044, + "ĠGrowth": 19045, + "Ġadul": 19046, + "Ġensures": 19047, + "Ġ117": 19048, + "é¾įå": 19049, + "Ġmassacre": 19050, + "Ġgrades": 19051, + "before": 19052, + "ADVERTISEMENT": 19053, 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"anmar": 21708, + "Ġ1947": 21709, + "ĠFell": 21710, + "estial": 21711, + "itating": 21712, + "GF": 21713, + "ĠSr": 21714, + "ifted": 21715, + "Ġconnector": 21716, + "ĠBone": 21717, + "illes": 21718, + "260": 21719, + "hma": 21720, + "Ġoverlap": 21721, + "ĠGitHub": 21722, + "Ġcleaner": 21723, + "ĠBaptist": 21724, + "ĠWAS": 21725, + "Ġlungs": 21726, + "Ñģ": 21727, + "ĠBUT": 21728, + "Ġcite": 21729, + "Ġpitched": 21730, + "reatment": 21731, + "Ġtrophies": 21732, + "ĠNu": 21733, + "386": 21734, + "ĠPride": 21735, + "Ġattendees": 21736, + "[]": 21737, + "179": 21738, + "Ġspatial": 21739, + "Ġprizes": 21740, + "ĠReligion": 21741, + "Ġshowcase": 21742, + "ĠCategory": 21743, + "vidia": 21744, + "Target": 21745, + "Property": 21746, + "?,": 21747, + "Ġfusion": 21748, + "pie": 21749, + "ĠUCLA": 21750, + "Ġsoundtrack": 21751, + "Ġprincess": 21752, + "ĠCaval": 21753, + "should": 21754, + "Ġlimbs": 21755, + "Background": 21756, + "Ġlonely": 21757, + "Ġcores": 21758, + "ĠTail": 21759, + "sheet": 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"Ġresolutions": 21811, + "command": 21812, + "ĠPortuguese": 21813, + "Ġnickname": 21814, + "Ġdeaf": 21815, + "February": 21816, + "Ġrecognise": 21817, + "Ġentirety": 21818, + "Ġseasonal": 21819, + "placed": 21820, + "ĠTelegraph": 21821, + "Ġmicrophone": 21822, + "ouring": 21823, + "Ġgrains": 21824, + "Ġgoverned": 21825, + "Ġpostp": 21826, + "ĠWaters": 21827, + "inement": 21828, + "Ġundocumented": 21829, + "ĠComcast": 21830, + "Ġfox": 21831, + "Ġassaults": 21832, + "reon": 21833, + "many": 21834, + "ĠJenkins": 21835, + "ĠAnyway": 21836, + "Ġassessments": 21837, + "Ġdowns": 21838, + "ĠMouse": 21839, + "Ġsuperb": 21840, + "kt": 21841, + "ĠDow": 21842, + "Ġtaxation": 21843, + "401": 21844, + "Ġsmiles": 21845, + "Ġundertaken": 21846, + "Ġexh": 21847, + "Ġenthusiastic": 21848, + "Ġtwent": 21849, + "Ġgovernmental": 21850, + "Ġautonomy": 21851, + "ĠTechnologies": 21852, + "ĠChain": 21853, + "Ġprevalent": 21854, + "fb": 21855, + "Ġnicotine": 21856, + "ogram": 21857, + "job": 21858, + "Ġawaiting": 21859, + "ĠMenu": 21860, + "Ġdeputies": 21861, + "kov": 21862, + "ishops": 21863, + "Button": 21864, + "ĠShanghai": 21865, + "Ġdiesel": 21866, + "ĠDuck": 21867, + "Ryan": 21868, + "ĠPCs": 21869, + "NF": 21870, + "jury": 21871, + "ente": 21872, + "Ġinaccurate": 21873, + "eddy": 21874, + "Whatever": 21875, + "Ġshowc": 21876, + "ĠNad": 21877, + "odus": 21878, + "etr": 21879, + "Ġplaintiffs": 21880, + "ĠWOR": 21881, + "ĠAssange": 21882, + "Ġprivat": 21883, + "Ġpremiums": 21884, + "Ġtam": 21885, + "URL": 21886, + "Ġelites": 21887, + "ĠRanger": 21888, + "ottenham": 21889, + "ĠHoff": 21890, + "ĠAthens": 21891, + "Ġdefinite": 21892, + "Ġsighed": 21893, + "Ġevenly": 21894, + "211": 21895, + "ĠAmber": 21896, + "akia": 21897, + "Ġmailing": 21898, + "Ġcrashing": 21899, + "ĠConfederate": 21900, + "rugged": 21901, + "Wal": 21902, + "ĠDepths": 21903, + "Ġjuvenile": 21904, + "Ġreactor": 21905, + "Introduction": 21906, + "ĠDeluxe": 21907, + "1995": 21908, + "ĠSanchez": 21909, + "ĠMead": 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"hedral": 21962, + "obb": 21963, + "Ġtemporal": 21964, + "ĠPRO": 21965, + "ĠNW": 21966, + "ĠAnniversary": 21967, + "Large": 21968, + "Ġtherm": 21969, + "Ġdavid": 21970, + "Ġsystemic": 21971, + "ĠShir": 21972, + "mut": 21973, + "ĠNept": 21974, + "address": 21975, + "Ġscanning": 21976, + "Ġunderstandable": 21977, + "Ġcanvas": 21978, + "Cat": 21979, + "ĠZoo": 21980, + "Ġangels": 21981, + "LO": 21982, + "ĠStatement": 21983, + "ĠSig": 21984, + "ovable": 21985, + "ĠAway": 21986, + "sharing": 21987, + "ocrats": 21988, + "stated": 21989, + "Ġweighing": 21990, + "Nor": 21991, + "wild": 21992, + "Bey": 21993, + "Ġastonishing": 21994, + "ĠReynolds": 21995, + "Ġopener": 21996, + "Ġtrainer": 21997, + "Ġsurgical": 21998, + "pn": 21999, + "Ġadjusting": 22000, + "wheel": 22001, + "Ġfrown": 22002, + "ervative": 22003, + "Ġsuspend": 22004, + "Within": 22005, + "tein": 22006, + "Ġobstacle": 22007, + "Ġliberties": 22008, + "ymes": 22009, + "Ġuranium": 22010, + "ansom": 22011, + "anol": 22012, + "uba": 22013, + "ĠLoss": 22014, + "Ġarous": 22015, + "ĠHenderson": 22016, + "Wow": 22017, + "spl": 22018, + "cur": 22019, + "ĠÂŃ": 22020, + "Ġtheirs": 22021, + "Damage": 22022, + "Ġdownloading": 22023, + "Ġdiscern": 22024, + "ĠSto": 22025, + "ĠFla": 22026, + "Ġhath": 22027, + "ĠAj": 22028, + "Ġunpleasant": 22029, + "European": 22030, + "expensive": 22031, + "Ġscreenshot": 22032, + "ĠUV": 22033, + "Ġallied": 22034, + "ĠPersian": 22035, + "Ġmonopoly": 22036, + "Ġatom": 22037, + "ĠRedskins": 22038, + "\"><": 22039, + "Ġcancell": 22040, + "Ġcinema": 22041, + "131": 22042, + "fair": 22043, + "ĠAlfred": 22044, + "Ġduck": 22045, + "args": 22046, + "223": 22047, + "ĠISI": 22048, + "Ġsignaling": 22049, + "inar": 22050, + "Ġlaughs": 22051, + "Ġforwards": 22052, + "Ġreckless": 22053, + "Ġlisteners": 22054, + "ativity": 22055, + "Ġvastly": 22056, + "nant": 22057, + "Less": 22058, + "ĠHunting": 22059, + "ĠScientific": 22060, + "ITED": 22061, + "Ġknight": 22062, + "ĠHTC": 22063, + "usa": 22064, + "tmp": 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"ĠBrid": 28320, + "regn": 28321, + "Ġprophecy": 28322, + "ĠLIVE": 28323, + "499": 28324, + "Ġforge": 28325, + "ĠFML": 28326, + "Ġintrinsic": 28327, + "ĠFrog": 28328, + "Ġwont": 28329, + "ĠHolt": 28330, + "Ġfamed": 28331, + "CLUS": 28332, + "aepernick": 28333, + "ĠHate": 28334, + "ĠCay": 28335, + "Ġregistering": 28336, + "ortality": 28337, + "ropy": 28338, + "ocalyptic": 28339, + "aan": 28340, + "nav": 28341, + "Ġfascist": 28342, + "IFIED": 28343, + "Ġimplicated": 28344, + "ĠResort": 28345, + "ĠChandler": 28346, + "ĠBrick": 28347, + "Pin": 28348, + "ysc": 28349, + "Usage": 28350, + "ĠHelm": 28351, + "usra": 28352, + "âĺħâĺħ": 28353, + "ĠAbbas": 28354, + "Ġunanimously": 28355, + "Ġkeeper": 28356, + "Ġaddicted": 28357, + "???": 28358, + "Ġhelmets": 28359, + "Ġantioxid": 28360, + "apsed": 28361, + "808": 28362, + "giene": 28363, + "Ġwaits": 28364, + "Ġminion": 28365, + "raved": 28366, + "ĠPorsche": 28367, + "Ġdreaming": 28368, + "Ġ171": 28369, + "ĠCain": 28370, + "Ġunfor": 28371, + "asso": 28372, + "ĠConfiguration": 28373, + "kun": 28374, + "hardt": 28375, + "Ġnested": 28376, + "ĠLDS": 28377, + "LES": 28378, + "Ġtying": 28379, + "enos": 28380, + "Ġcue": 28381, + "ĠMarqu": 28382, + "skirts": 28383, + "Ġclicked": 28384, + "Ġexpiration": 28385, + "ĠAccordingly": 28386, + "ĠWC": 28387, + "Ġblessings": 28388, + "Ġaddictive": 28389, + "ĠNarr": 28390, + "yx": 28391, + "ĠJaguars": 28392, + "Ġrents": 28393, + "ĠSiber": 28394, + "Ġtipped": 28395, + "ousse": 28396, + "ĠFitzgerald": 28397, + "Ġhierarch": 28398, + "outine": 28399, + "Ġwavelength": 28400, + ">.": 28401, + "chid": 28402, + "ĠProcessing": 28403, + "/+": 28404, + "ranking": 28405, + "Easy": 28406, + "ĠConstruct": 28407, + "Ġtet": 28408, + "insured": 28409, + "HUD": 28410, + "Ġquoting": 28411, + "Ġcommunicated": 28412, + "inx": 28413, + "Ġinmate": 28414, + "Ġerected": 28415, + "ĠAbsolutely": 28416, + "ĠSurely": 28417, + "Ġunim": 28418, + "ĠThrone": 28419, + "heid": 28420, + "Ġclaws": 28421, + "Ġsuperstar": 28422, + "ĠLenn": 28423, + "ĠWhis": 28424, + "Uk": 28425, + "abol": 28426, + "Ġsket": 28427, + "ĠNiet": 28428, + "Ġperks": 28429, + "Ġaffinity": 28430, + "Ġopenings": 28431, + "phasis": 28432, + "Ġdiscriminate": 28433, + "Tip": 28434, + "vc": 28435, + "Ġgrinding": 28436, + "ĠJenny": 28437, + "Ġasthma": 28438, + "holes": 28439, + "ĠHomer": 28440, + "Ġregisters": 28441, + "ĠGlad": 28442, + "Ġcreations": 28443, + "Ġlithium": 28444, + "Ġapplause": 28445, + "until": 28446, + "Justice": 28447, + "ĠTurks": 28448, + "Ġscandals": 28449, + "Ġbake": 28450, + "tank": 28451, + "Mech": 28452, + "ĠMeans": 28453, + "ĠMaid": 28454, + "Republicans": 28455, + "isal": 28456, + "windows": 28457, + "ĠSantos": 28458, + "Ġvegetation": 28459, + "338": 28460, + "tri": 28461, + "Ġflux": 28462, + "insert": 28463, + "Ġclarified": 28464, + "Ġmortg": 28465, + "ĠChim": 28466, + "ĠTort": 28467, + "Ġdisclaim": 28468, + "metal": 28469, + "ĠAside": 28470, + "Ġinduction": 28471, + "Ġinfl": 28472, + "Ġatheists": 28473, + "amph": 28474, + "Ġether": 28475, + "ĠVital": 28476, + "ĠBuilt": 28477, + "Mind": 28478, + "Ġweaponry": 28479, + "SET": 28480, + "Ġ186": 28481, + "admin": 28482, + "gam": 28483, + "contract": 28484, + "afa": 28485, + "Ġderivatives": 28486, + "Ġsnacks": 28487, + "Ġchurn": 28488, + "Econom": 28489, + "Ġcapped": 28490, + "ĠUnderstanding": 28491, + "ĠHers": 28492, + "ĠIz": 28493, + "Ġduct": 28494, + "IENT": 28495, + "aughty": 28496, + "ĠâľĶ": 28497, + "ĠNP": 28498, + "Ġsailing": 28499, + "Initialized": 28500, + "Ġted": 28501, + "Ġreactors": 28502, + "ĠLomb": 28503, + "Ġchoke": 28504, + "ĠWorm": 28505, + "Ġadmiration": 28506, + "Ġswung": 28507, + "ensibly": 28508, + "Ġrash": 28509, + "ĠGoals": 28510, + "ĠImportant": 28511, + "Shot": 28512, + "ĠRas": 28513, + "Ġtrainers": 28514, + "ĠBun": 28515, + "Working": 28516, + "Ġharmed": 28517, + "ĠPandora": 28518, + "ĠLTE": 28519, + "Ġmushroom": 28520, + "ĠCHAR": 28521, + "ĠFee": 28522, + "ĠMoy": 28523, + "Born": 28524, + "oliberal": 28525, + "ĠMartial": 28526, + "Ġgentlemen": 28527, + "Ġlingering": 28528, + "Official": 28529, + "Ġgraffiti": 28530, + "ĠNames": 28531, + "Der": 28532, + "Ġquint": 28533, + "istrate": 28534, + "azeera": 28535, + "ĠNOTICE": 28536, + "ĠFlorence": 28537, + "Ġpayable": 28538, + "Ġdepicts": 28539, + "ĠSpecies": 28540, + "Heart": 28541, + "âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ": 28542, + "Ġenclosed": 28543, + "Increases": 28544, + "Daily": 28545, + "ĠLis": 28546, + "Ġenactment": 28547, + "ĠBacon": 28548, + "ĠSteele": 28549, + "demand": 28550, + "Ġ183": 28551, + "Ġmouths": 28552, + "Ġstranded": 28553, + "Ġenhancement": 28554, + "011": 28555, + "ĠWhats": 28556, + "Ġhealed": 28557, + "eny": 28558, + "ĠRab": 28559, + "Ġ340": 28560, + "ĠLabyrinth": 28561, + "roach": 28562, + "ĠYosh": 28563, + "ĠClippers": 28564, + "Ġconcerts": 28565, + "Internet": 28566, + "355": 28567, + "Ġstickers": 28568, + "Ġtermed": 28569, + "ĠAxe": 28570, + "Ġgrandparents": 28571, + "France": 28572, + "ĠClim": 28573, + "ĠUh": 28574, + "ulic": 28575, + "Ġthrill": 28576, + "centric": 28577, + "ĠOverview": 28578, + "ĠConduct": 28579, + "Ġsubstantive": 28580, + "Ġ182": 28581, + "mur": 28582, + "Ġstray": 28583, + "ĠCoff": 28584, + "Ġrepetitive": 28585, + "ĠForgotten": 28586, + "Ġqualification": 28587, + "ewitness": 28588, + "ĠZimbabwe": 28589, + "Ġsimulated": 28590, + "ĠJD": 28591, + "253": 28592, + "ĠWare": 28593, + "Ġunsc": 28594, + "Times": 28595, + "Ġsummons": 28596, + "Ġdisconnected": 28597, + "Ġ184": 28598, + "cius": 28599, + "ĠGujar": 28600, + "odka": 28601, + "Ġerase": 28602, + "ĠTobacco": 28603, + "elected": 28604, + "Ġuncont": 28605, + "ĠShepard": 28606, + "ĠLamp": 28607, + "Ġalerted": 28608, + "Ġoperative": 28609, + "arna": 28610, + "uint": 28611, + "Ġnegligence": 28612, + "acements": 28613, + "Ġsupra": 28614, + "Ġprevail": 28615, + "ĠShark": 28616, + "Ġbelts": 28617, + "ãģ«": 28618, + "Ġtighter": 28619, + "Engineers": 28620, + "Ġinactive": 28621, + "Ġexponent": 28622, + "ĠWillie": 28623, + "aples": 28624, + "Ġheir": 28625, + "ĠHits": 28626, + "iann": 28627, + "ĠSays": 28628, + "Ġcurrents": 28629, + "ĠBengal": 28630, + "Ġarist": 28631, + "Buffer": 28632, + "Ġbreeze": 28633, + "ĠWesley": 28634, + "Cola": 28635, + "Ġpronoun": 28636, + "Ġdeed": 28637, + "ĠKling": 28638, + "Ġoft": 28639, + "Ġinflict": 28640, + "Ġpunishing": 28641, + "Ġnm": 28642, + "iku": 28643, + "ODUCT": 28644, + "014": 28645, + "Ġsubsidy": 28646, + "ĠDEA": 28647, + "ĠHerbert": 28648, + "ĠJal": 28649, + "Bank": 28650, + "Ġdeferred": 28651, + "Ġshipment": 28652, + "Bott": 28653, + "Ġalle": 28654, + "bearing": 28655, + "HTML": 28656, + "Offline": 28657, + "Ġ213": 28658, + "Ġscrolling": 28659, + "Ġscanned": 28660, + "ĠLibyan": 28661, + "ĠTOP": 28662, + "chrom": 28663, + "dt": 28664, + "column": 28665, + "PsyNetMessage": 28666, + "Zero": 28667, + "Ġtorso": 28668, + "050": 28669, + "âķIJ": 28670, + "Ġimperson": 28671, + "ĠSchwartz": 28672, + "udic": 28673, + "Ġpissed": 28674, + "ĠSapp": 28675, + "257": 28676, + "ĠISPs": 28677, + "ogl": 28678, + 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"ĠReleased": 28728, + "ĠOVER": 28729, + "ĠIGN": 28730, + "ĠBread": 28731, + "stellar": 28732, + "ĠSage": 28733, + "tted": 28734, + "damage": 28735, + "edition": 28736, + "ĠPrec": 28737, + "Ġlime": 28738, + "Ġconfinement": 28739, + "Ġcalorie": 28740, + "weapon": 28741, + "Ġdiffering": 28742, + "ĠSina": 28743, + "mys": 28744, + "amd": 28745, + "Ġintricate": 28746, + "kk": 28747, + "ĠPAT": 28748, + "ão": 28749, + "stones": 28750, + "links": 28751, + "Ġranch": 28752, + "Semitic": 28753, + "Ġdifferentiate": 28754, + "ĠSinger": 28755, + "occupied": 28756, + "Ġfortress": 28757, + "cmd": 28758, + "Ġinterception": 28759, + "ĠAnkara": 28760, + "Ġrept": 28761, + "ĠSolitaire": 28762, + "Ġremake": 28763, + "pred": 28764, + "Ġdared": 28765, + "autions": 28766, + "ĠBACK": 28767, + "Running": 28768, + "Ġdebugging": 28769, + "Ġgraphs": 28770, + "399": 28771, + "ĠNigel": 28772, + "Ġbun": 28773, + "Ġpillow": 28774, + "Ġprogressed": 28775, + "fashioned": 28776, + "Ġobedience": 28777, + "ERN": 28778, + "Ġrehears": 28779, + "Cell": 28780, + "tl": 28781, + "Sher": 28782, + "Ġherald": 28783, + "ĠPayment": 28784, + "ĠCory": 28785, + "ĠDept": 28786, + "Ġrepent": 28787, + "ĠWeak": 28788, + "uckland": 28789, + "Ġpleasing": 28790, + "Ġshortages": 28791, + "Ġjurors": 28792, + "ĠKab": 28793, + "qqa": 28794, + "Anti": 28795, + "Ġwow": 28796, + "ĠRCMP": 28797, + "Ġtsun": 28798, + "ĠSic": 28799, + "Ġcomprises": 28800, + "Ġspies": 28801, + "Ġprecinct": 28802, + "nu": 28803, + "Ġurges": 28804, + "Ġtimed": 28805, + "Ġstripes": 28806, + "ĠBoots": 28807, + "Ġyen": 28808, + "Advanced": 28809, + "Ġdiscrete": 28810, + "ĠArchangel": 28811, + "employment": 28812, + "Diff": 28813, + "Ġmonuments": 28814, + "Ġ209": 28815, + "worker": 28816, + "Ġ196": 28817, + "ĠIg": 28818, + "utterstock": 28819, + "TPS": 28820, + "Jac": 28821, + "Ġhomelessness": 28822, + "Ġcommentator": 28823, + "Ġracially": 28824, + "fing": 28825, + "seed": 28826, + "Ele": 28827, + "ellation": 28828, + "Ġethanol": 28829, + "Ġparish": 28830, 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"KY": 31159, + "Anna": 31160, + "Ġ//[": 31161, + "ĠDisorder": 31162, + "ĠMustang": 31163, + "ĠWen": 31164, + "ĠTrying": 31165, + "sq": 31166, + "Ġdeliveries": 31167, + "Ġshutter": 31168, + "Ġcerebral": 31169, + "Ġbipolar": 31170, + "ĠCN": 31171, + "lass": 31172, + "jet": 31173, + "Ġdebating": 31174, + ">:": 31175, + "Ġeagle": 31176, + "grades": 31177, + "ĠDixon": 31178, + "UGC": 31179, + "MAS": 31180, + "ĠDraco": 31181, + "ĠMachines": 31182, + "affer": 31183, + "Ġeman": 31184, + "²": 31185, + "pron": 31186, + "ĠGym": 31187, + "Ġcomparatively": 31188, + "ĠTribunal": 31189, + "PRO": 31190, + "Ġlex": 31191, + "Ġfertile": 31192, + "Ġdepressing": 31193, + "Ġsuperficial": 31194, + "essential": 31195, + "ĠHunters": 31196, + "gp": 31197, + "Ġprominence": 31198, + "Liber": 31199, + "ĠAncest": 31200, + "otechnology": 31201, + "Ġmocking": 31202, + "ĠTraff": 31203, + "ĸļ": 31204, + "Medium": 31205, + "Iraq": 31206, + "Ġpsychiatrist": 31207, + "Quantity": 31208, + "ĠLect": 31209, + "Ġnoisy": 31210, + "520": 31211, + "GY": 31212, + "Ġslapped": 31213, + "ĠMTV": 31214, + "Ġpara": 31215, + "pull": 31216, + "Multiple": 31217, + "asher": 31218, + "Ġnour": 31219, + "ĠSeg": 31220, + "Spell": 31221, + "vous": 31222, + "ordial": 31223, + "Senior": 31224, + "ĠGoldberg": 31225, + "ĠPlasma": 31226, + "need": 31227, + "Ġmessenger": 31228, + "eret": 31229, + "Ġteamed": 31230, + "Ġliteracy": 31231, + "ĠLeah": 31232, + "ĠDoyle": 31233, + "Ġemitted": 31234, + "UX": 31235, + "Ġevade": 31236, + "Ġmaze": 31237, + "Ġwrongly": 31238, + "ĠLars": 31239, + "Ġstereotype": 31240, + "Ġpledges": 31241, + "Ġaroma": 31242, + "ĠMET": 31243, + "Ġacre": 31244, + "ĠOD": 31245, + "Ġff": 31246, + "Ġbreweries": 31247, + "ĠHilton": 31248, + "undle": 31249, + "ĠKak": 31250, + "ĠThankfully": 31251, + "ĠCanucks": 31252, + "inctions": 31253, + "ĠAppears": 31254, + "Ġcoer": 31255, + "Ġundermined": 31256, + "rovers": 31257, + "Andre": 31258, + "Ġblaze": 31259, + "umers": 31260, + "Ġfamine": 31261, + "amphetamine": 31262, + "ulkan": 31263, + "Amount": 31264, + "Ġdesperation": 31265, + "wikipedia": 31266, + "development": 31267, + "ĠCorinth": 31268, + "ussia": 31269, + "Jackson": 31270, + "LI": 31271, + "Native": 31272, + "Rs": 31273, + "Ohio": 31274, + "ĠKathleen": 31275, + "Fortunately": 31276, + "Ġattendant": 31277, + "ĠPreferred": 31278, + "ĠDidn": 31279, + "ĠVs": 31280, + "Mis": 31281, + "Ġrespondent": 31282, + "Ġboun": 31283, + "stable": 31284, + "Ġpaved": 31285, + "Ġunexpl": 31286, + "ĠCheney": 31287, + "LM": 31288, + "ĠCull": 31289, + "blown": 31290, + "Ġconfronting": 31291, + "ocese": 31292, + "serving": 31293, + "Wi": 31294, + "ĠLithuania": 31295, + "anni": 31296, + "Ġstalk": 31297, + "hd": 31298, + "Ġvener": 31299, + "APH": 31300, + "ynchronous": 31301, + "URR": 31302, + "umably": 31303, + "historic": 31304, + "Half": 31305, + "Hay": 31306, + "Ġresilience": 31307, + "spection": 31308, + "Ġabandoning": 31309, + "Obs": 31310, + "ĠDebbie": 31311, + "Ġgradient": 31312, + "ĠPlaint": 31313, + "ĠCanal": 31314, + "ARCH": 31315, + "Ġexpansive": 31316, + "Ġfung": 31317, + "Ġbounced": 31318, + "Und": 31319, + "Ġprecautions": 31320, + "Ġclarification": 31321, + "Ġdagger": 31322, + "Ġgrips": 31323, + "Ġµ": 31324, + "ĠRivera": 31325, + "ĠUndead": 31326, + "isites": 31327, + "ĠFIRST": 31328, + "ño": 31329, + "audi": 31330, + "Ġhostages": 31331, + "Ġcompliant": 31332, + "Ġalumni": 31333, + "Seven": 31334, + "Ġcybersecurity": 31335, + "either": 31336, + "Collect": 31337, + "Ġinvariably": 31338, + "ĠSoci": 31339, + "Ġlawmaker": 31340, + "Ġale": 31341, + "ĠPersonally": 31342, + "Nazi": 31343, + "Ġcustomization": 31344, + "ĠProc": 31345, + "ĠSaskatchewan": 31346, + "eaturing": 31347, + "Ġspared": 31348, + "Ġdiscontinued": 31349, + "Ġcomputational": 31350, + "ĠMotorola": 31351, + "Ġsupremacist": 31352, + "governmental": 31353, + "Ġparadise": 31354, + "ĠDowning": 31355, + "ĠNikon": 31356, + "Ġcatalyst": 31357, + "berra": 31358, + "Toronto": 31359, + "875": 31360, + "beta": 31361, + "ĠMacron": 31362, + "Ġunrealistic": 31363, + "vector": 31364, + "ĠVehicles": 31365, + "itiveness": 31366, + "ĠRV": 31367, + "ĠColbert": 31368, + "sin": 31369, + "oji": 31370, + "entin": 31371, + "ĠKrish": 31372, + "hello": 31373, + "ffield": 31374, + "oky": 31375, + "ĠTate": 31376, + "Ġmaple": 31377, + "Ġaids": 31378, + "chemical": 31379, + "334": 31380, + "nuts": 31381, + "ĠWarp": 31382, + "Ġxx": 31383, + "ĠRobb": 31384, + "umerous": 31385, + "_-_": 31386, + "ftime": 31387, + "ĠVW": 31388, + "Ġwinger": 31389, + "ĠDome": 31390, + "tools": 31391, + "ĠPV": 31392, + "ĠGeorgetown": 31393, + "Ġgeared": 31394, + "Ġjihadists": 31395, + "Ġcp": 31396, + "Ġsteroids": 31397, + "Mother": 31398, + "clerosis": 31399, + "ĠDRM": 31400, + "nesia": 31401, + "Ġlinger": 31402, + "Ġimmersive": 31403, + "ĠCOUN": 31404, + "Ġoutweigh": 31405, + "ensual": 31406, + "Band": 31407, + "Ġtransforms": 31408, + "matched": 31409, + "psons": 31410, + "ĠJudicial": 31411, + "factor": 31412, + "Ġreferral": 31413, + "Ġoddly": 31414, + "ĠWenger": 31415, + "Bring": 31416, + "ĠBows": 31417, + "602": 31418, + "ICLE": 31419, + "Ġlions": 31420, + "ĠAcademic": 31421, + "ĠThorn": 31422, + "ĠRaider": 31423, + "kefeller": 31424, + "Storage": 31425, + "Lower": 31426, + "ĠOrt": 31427, + "ĠEquality": 31428, + "ALT": 31429, + "ĠSOC": 31430, + "Types": 31431, + "Ġlyn": 31432, + "ĠAsset": 31433, + "coat": 31434, + "TPP": 31435, + "CVE": 31436, + "ĠPioneer": 31437, + "application": 31438, + "Modern": 31439, + "ĠHK": 31440, + "Environment": 31441, + "Alright": 31442, + "Rain": 31443, + "IPP": 31444, + "ĠShiite": 31445, + "Ġmound": 31446, + "ĠAbilities": 31447, + "condition": 31448, + "Staff": 31449, + "Ġcompetence": 31450, + "ĠMoor": 31451, + "ĠDiablo": 31452, + "Ġwithheld": 31453, + "Ġostensibly": 31454, + "ĠBrom": 31455, + "Ġmsg": 31456, + "Ġdenomin": 31457, + "ĠReferences": 31458, + "ĠFP": 31459, + "Ġplunged": 31460, + "Ġpamph": 31461, + "moving": 31462, + "central": 31463, + "Ġdownright": 31464, + "Ġfading": 31465, + "Tal": 31466, + "Typ": 31467, + "ĠThy": 31468, + "ukes": 31469, + "ithe": 31470, + "Ġove": 31471, + "Ġbattled": 31472, + "Ġseafood": 31473, + "Ġfigur": 31474, + "ĠRD": 31475, + "crop": 31476, + "Ġsquads": 31477, + "{\\": 31478, + "à¹": 31479, + "ĠEh": 31480, + "Ġinterviewing": 31481, + "ĠQin": 31482, + "Ġaspiring": 31483, + "PLIC": 31484, + "Ġclauses": 31485, + "ĠGast": 31486, + "ĠNir": 31487, + "Ġluggage": 31488, + "Ġhose": 31489, + "Ġsystemd": 31490, + "Ġdescending": 31491, + "ĠRevised": 31492, + "ĠRails": 31493, + "align": 31494, + "709": 31495, + "337": 31496, + "Ġfug": 31497, + "charging": 31498, + "tags": 31499, + "Ġuter": 31500, + "kish": 31501, + "WARNING": 31502, + "490": 31503, + "profits": 31504, + "Ġvoyage": 31505, + "Ġace": 31506, + "ĠVanguard": 31507, + "ĠTanks": 31508, + "ĠMuk": 31509, + "Ġ226": 31510, + "Safe": 31511, + "Armor": 31512, + "Ġvolcanic": 31513, + "Ġwomb": 31514, + "ĠMIL": 31515, + "Ġbeginner": 31516, + "ĠRecogn": 31517, + "ĠAAP": 31518, + "PLAY": 31519, + ")!": 31520, + "Ġdetecting": 31521, + "cn": 31522, + "Ġbreaches": 31523, + "Basically": 31524, + "ĠPag": 31525, + "ĠMunicipal": 31526, + "ĠIndie": 31527, + "ĠLaf": 31528, + "ĠDisable": 31529, + "ĠOlson": 31530, + "Ġrestrained": 31531, + "Ġrulings": 31532, + "Ġhumane": 31533, + "events": 31534, + "ĠCinema": 31535, + "displayText": 31536, + "ĠHatch": 31537, + "actionDate": 31538, + "onnaissance": 31539, + "Ġassaulting": 31540, + "ĠLug": 31541, + "CHAT": 31542, + "Ġvigorous": 31543, + "ĠPerse": 31544, + "Ġintolerance": 31545, + "ĠSnapchat": 31546, + "ĠSharks": 31547, + "Ġdummy": 31548, + "ĠDiagn": 31549, + "ĠGuitar": 31550, + "imeters": 31551, + "403": 31552, + "REG": 31553, + "Ax": 31554, + "Ġseparates": 31555, + "ĠMahm": 31556, + "Ġtv": 31557, + "jah": 31558, + "OOL": 31559, + "Circ": 31560, + "ĠWindsor": 31561, + "ussian": 31562, + "Ġintuition": 31563, + "Ġdisdain": 31564, + "ĠDonovan": 31565, + "Ġ221": 31566, + "Emb": 31567, + "Ġcondemning": 31568, + "Ġgenerosity": 31569, + "zzy": 31570, + "Ġpanties": 31571, + "ĠPrevent": 31572, + "ActionCode": 31573, + "ANA": 31574, + "342": 31575, + "externalActionCode": 31576, + "Ġspecifying": 31577, + "Ġcrystall": 31578, + "Jere": 31579, + "Ġrupt": 31580, + "ĠApprentice": 31581, + "Ġprofiling": 31582, + "к": 31583, + "Strike": 31584, + "Ġsideline": 31585, + "Ġobligated": 31586, + "Ġoccult": 31587, + "Ġbureaucratic": 31588, + "antically": 31589, + "rupted": 31590, + "negative": 31591, + "ĠEthiopia": 31592, + "ĠCivic": 31593, + "Ġinsiders": 31594, + "eligible": 31595, + "ĠTVs": 31596, + "ĠBAR": 31597, + "ĠTI": 31598, + "iologist": 31599, + "ĠAIR": 31600, + "Ġsubstituted": 31601, + "Arab": 31602, + "ĠSaul": 31603, + "ĠYog": 31604, + "prem": 31605, + "Ġbuilders": 31606, + "Ġstationary": 31607, + "Ġdoubtful": 31608, + "Ġvigorously": 31609, + "Ġthrilling": 31610, + "Physical": 31611, + "ĠCarey": 31612, + "ĠHydra": 31613, + "geoning": 31614, + "ĠSly": 31615, + "yton": 31616, + "Ġborrowers": 31617, + "ĠParkinson": 31618, + "Ġë": 31619, + "ĠJamaica": 31620, + "Ġsatir": 31621, + "Ġinsurgents": 31622, + "ĠFirm": 31623, + "Ġisot": 31624, + "ĠKarn": 31625, + "ourning": 31626, + "akens": 31627, + "docs": 31628, + "little": 31629, + "ĠMonaco": 31630, + "CLASS": 31631, + "Turkey": 31632, + "Ly": 31633, + "ĠConan": 31634, + "assic": 31635, + "Ġstarred": 31636, + "ĠPacers": 31637, + "eties": 31638, + "Ġtipping": 31639, + "Moon": 31640, + "ĠRw": 31641, + "same": 31642, + "Ġcavity": 31643, + "Ġgoof": 31644, + "ĠZo": 31645, + "Shock": 31646, + "ummer": 31647, + "Ġemphasizes": 31648, + "Ġregrett": 31649, + "Ġnovelty": 31650, + "Ġenvy": 31651, + "ĠPassive": 31652, + "rw": 31653, + "505": 31654, + "Ġindifferent": 31655, + "ĠRica": 31656, + "ĠHimself": 31657, + "ĠFreddie": 31658, + "Ġadip": 31659, + "ä¸Ģ": 31660, + "Ġbreakout": 31661, + "Ġhurried": 31662, + "ĠHuang": 31663, + "ĠDisk": 31664, + "Ġroaming": 31665, + "?????-?????-": 31666, + "UV": 31667, + "ĠRicky": 31668, + "ĠSigma": 31669, + "Ġmarginalized": 31670, + "Ġedits": 31671, + "Ġ304": 31672, + "memory": 31673, + "Ġspecimen": 31674, + "293": 31675, + "ãģ¯": 31676, + "Ġvertically": 31677, + "Ġaudition": 31678, + "ĠHeck": 31679, + "Ġcaster": 31680, + "ĠHoldings": 31681, + "adal": 31682, + "ĠCron": 31683, + "ĠLiam": 31684, + "Ġdeflect": 31685, + "Pick": 31686, + "ĠDebug": 31687, + "REF": 31688, + "Ġversatility": 31689, + "othes": 31690, + "classified": 31691, + "ĠMahar": 31692, + "ĠHort": 31693, + "Counter": 31694, + "stasy": 31695, + "noticed": 31696, + "331": 31697, + "ĠShim": 31698, + "fuck": 31699, + "ĠBie": 31700, + "Ġairing": 31701, + "ĠProtein": 31702, + "ĠHolding": 31703, + "Ġspectators": 31704, + "iliated": 31705, + "ĠThatcher": 31706, + "nosis": 31707, + "ãĥ¼ãĥ³": 31708, + "Tele": 31709, + "Boston": 31710, + "ĠTempl": 31711, + "stay": 31712, + "Ġdeclarations": 31713, + "479": 31714, + "Volume": 31715, + "ĠDesigner": 31716, + "ĠOverwatch": 31717, + "idae": 31718, + "Ġonwards": 31719, + "Ġnets": 31720, + "ĠManila": 31721, + "particularly": 31722, + "Ġpolitic": 31723, + "oother": 31724, + "Ġportraits": 31725, + "Ġpavement": 31726, + "cffff": 31727, + "Ġsaints": 31728, + "Ġbeginners": 31729, + "ESPN": 31730, + "Ġshortcomings": 31731, + "âķIJâķIJ": 31732, + "Ġcomet": 31733, + "ĠOrganic": 31734, + "quel": 31735, + "Ġhospitalized": 31736, + "Break": 31737, + "Ġpeel": 31738, + "dylib": 31739, + "aspx": 31740, + "urances": 31741, + "ĠTIM": 31742, + "Pg": 31743, + "Ġreadable": 31744, + "ĠMalik": 31745, + "Ġmuzzle": 31746, + "Ġbenchmarks": 31747, + "dal": 31748, + "ĠVacc": 31749, + "ĠHicks": 31750, + "609": 31751, + "ĠBiblical": 31752, + "heng": 31753, + "Ġoverload": 31754, + "ĠCivilization": 31755, + "Ġimmoral": 31756, + "Ġfries": 31757, + "ãĤĴ": 31758, + "Ġreproduced": 31759, + "Ġformulation": 31760, + "jug": 31761, + "irez": 31762, + "gear": 31763, + "Ġcoached": 31764, + "MpServer": 31765, + "ĠSJ": 31766, + "ĠKw": 31767, + "Init": 31768, + "deal": 31769, + "ĠOro": 31770, + "ĠLoki": 31771, + "ĠSongs": 31772, + "Ġ232": 31773, + "ĠLouise": 31774, + "asionally": 31775, + "Ġuncond": 31776, + "ollywood": 31777, + "Ġprogressives": 31778, + "ĠEnough": 31779, + "ĠDoe": 31780, + "Ġwreckage": 31781, + "Ġbrushed": 31782, + "ĠBaseType": 31783, + "Ġzoning": 31784, + "ishable": 31785, + "hetically": 31786, + "ĠCaucus": 31787, + "ĠHue": 31788, + "Ġkarma": 31789, + "ĠSporting": 31790, + "Ġtrader": 31791, + "Ġseeming": 31792, + "ĠCapture": 31793, + "430": 31794, + "bish": 31795, + "Ġtunes": 31796, + "Ġindoors": 31797, + "ĠSphere": 31798, + "ĠDancing": 31799, + "TERN": 31800, + "Ġnob": 31801, + "ĠGST": 31802, + "maps": 31803, + "Ġpeppers": 31804, + "Fit": 31805, + "Ġoversees": 31806, + "ĠRabbi": 31807, + "ĠRuler": 31808, + "vertising": 31809, + "office": 31810, + "xxx": 31811, + "Ġraft": 31812, + "Changed": 31813, + "Ġtextbooks": 31814, + "Links": 31815, + "ĠOmn": 31816, + "ãĢij": 31817, + "Ġinconvenience": 31818, + "ĠDonetsk": 31819, + "=~": 31820, + "Ġimplicitly": 31821, + "Ġboosts": 31822, + "ĠBones": 31823, + "ĠBoom": 31824, + "Courtesy": 31825, + "Ġsensational": 31826, + "ANY": 31827, + "Ġgreedy": 31828, + "eden": 31829, + "Ġinexper": 31830, + "ĠLer": 31831, + "ĠVale": 31832, + "Ġtighten": 31833, + "ĠEAR": 31834, + "ĠNum": 31835, + "Ġancestor": 31836, + "Sent": 31837, + "ĠHorde": 31838, + "urgical": 31839, + "allah": 31840, + "Ġsap": 31841, + "amba": 31842, + "ĠSpread": 31843, + "twitch": 31844, + "Ġgrandson": 31845, + "Ġfracture": 31846, + "Ġmoderator": 31847, + "ĠSeventh": 31848, + "ĠReverse": 31849, + "Ġestimation": 31850, + "Choose": 31851, + "Ġparach": 31852, + "Ġbarric": 31853, + "ãĢIJ": 31854, + "Ġcompass": 31855, + "Ġallergic": 31856, + "âĢķ": 31857, + "OTHER": 31858, + "errilla": 31859, + "Ġwagon": 31860, + "Ġzinc": 31861, + "Ġrubbed": 31862, + "ĠFuller": 31863, + "ĠLuxembourg": 31864, + "ĠHoover": 31865, + "Ġliar": 31866, + "ĠEvening": 31867, + "ĠCobb": 31868, + "esteem": 31869, + "Ġselector": 31870, + "ĠBrawl": 31871, + "isance": 31872, + "ĠEk": 31873, + "Ġtroop": 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"ĠMaintenance": 34857, + "ĠHerb": 34858, + "Ġharms": 34859, + "packed": 34860, + "ĠFeinstein": 34861, + "Ġmarrying": 34862, + "Ġblending": 34863, + "ĠRates": 34864, + "Ġ1880": 34865, + "Ġwrink": 34866, + "ĠUnch": 34867, + "ĠTorch": 34868, + "described": 34869, + "Ġhumanoid": 34870, + "ilitating": 34871, + "ĠConv": 34872, + "ĠFeld": 34873, + "IGHTS": 34874, + "Ġwhistleblower": 34875, + "ortmund": 34876, + "etsy": 34877, + "arrett": 34878, + "ĠMono": 34879, + "ĠIke": 34880, + "ĠCNBC": 34881, + "ĠWAY": 34882, + "ĠMDMA": 34883, + "ĠIndividuals": 34884, + "Ġsupplemental": 34885, + "Ġpowerhouse": 34886, + "ĠStru": 34887, + "Focus": 34888, + "aphael": 34889, + "ĠColleg": 34890, + "atti": 34891, + "ZA": 34892, + "Ġperenn": 34893, + "ĠSignature": 34894, + "ĠRodney": 34895, + "Ġcubes": 34896, + "iddled": 34897, + "ĠDante": 34898, + "ĠINV": 34899, + "ilingual": 34900, + "ĠCth": 34901, + "Ġsofa": 34902, + "Ġintimidate": 34903, + "ĠRoe": 34904, + "ĠDiplom": 34905, + "ĠCountries": 34906, + "ayson": 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"Returns": 35561, + "Ġovershadow": 35562, + "Ġroam": 35563, + "Ġspeedy": 35564, + "numbered": 35565, + "helial": 35566, + "Ġdisciple": 35567, + "Ġassurances": 35568, + "given": 35569, + "pecting": 35570, + "ĠNatalie": 35571, + "çĶ°": 35572, + "Ġmosquitoes": 35573, + "rotein": 35574, + "Ġnumeric": 35575, + "Ġindependents": 35576, + "Ġtransitional": 35577, + "Ġreactionary": 35578, + "ĠMechdragon": 35579, + "doctor": 35580, + "Ġshortest": 35581, + "Ġsequential": 35582, + "ĠBac": 35583, + "ĠAccounts": 35584, + "ãģĮ": 35585, + "achy": 35586, + "ractive": 35587, + "ĠRegiment": 35588, + "Ġbreathtaking": 35589, + "fficiency": 35590, + "ĠBates": 35591, + "Ġ311": 35592, + "Ġwardrobe": 35593, + "fts": 35594, + "ĠBerk": 35595, + "Simply": 35596, + "ĠRiverside": 35597, + "ivering": 35598, + "idential": 35599, + "lucent": 35600, + "Ġenriched": 35601, + "ĠConver": 35602, + "ĠGiving": 35603, + "ãĥĻ": 35604, + "Ġlegalize": 35605, + "ĠFTC": 35606, + "Ġfreaking": 35607, + "Mix": 35608, + "Ġterrestrial": 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"ĠRollins": 47489, + "©¶æ": 47490, + "Ġdenomination": 47491, + "ĠLana": 47492, + "516": 47493, + "Ġinciting": 47494, + "scribed": 47495, + "juries": 47496, + "ĠWonders": 47497, + "approximately": 47498, + "Ġsuspending": 47499, + "Ġmountainous": 47500, + "ĠLaugh": 47501, + "oidal": 47502, + "Ns": 47503, + "Detect": 47504, + ")=": 47505, + "ĠLuthor": 47506, + "ĠSchwarzenegger": 47507, + "ĠMuller": 47508, + "ĠDevi": 47509, + "ecycle": 47510, + "Jar": 47511, + "613": 47512, + "ĠLongh": 47513, + "Bah": 47514, + "ĠSPORTS": 47515, + "nw": 47516, + "Ġrefinement": 47517, + "Ġwaterways": 47518, + "Ġdiner": 47519, + "Blade": 47520, + "683": 47521, + "Fac": 47522, + "Ġinitials": 47523, + "Ġrog": 47524, + "Ġparanormal": 47525, + "BUT": 47526, + "Ġ[(": 47527, + "ĠSwanson": 47528, + "ĠMesh": 47529, + "âĸ¬": 47530, + "Improve": 47531, + "ĠRadiation": 47532, + "ĠEsther": 47533, + "ĠEsk": 47534, + "ĠAly": 47535, + "iky": 47536, + "Ġirrad": 47537, + "ĠBuckingham": 47538, + "Ġrefill": 47539, + "Ġ._": 47540, + "Repe": 47541, + "CONCLUS": 47542, + "Ġdifferentiated": 47543, + "Ġchirop": 47544, + "ĠAtkins": 47545, + "Pattern": 47546, + "Ġexcise": 47547, + "Ġcabal": 47548, + "NSA": 47549, + "ĠSTA": 47550, + "ĠSIL": 47551, + "ĠParaly": 47552, + "Ġrye": 47553, + "ĠHowell": 47554, + "ĠCountdown": 47555, + "nesses": 47556, + "alysed": 47557, + "Ġresize": 47558, + "ãĤ½": 47559, + "Ġbudgetary": 47560, + "ĠStras": 47561, + "wang": 47562, + "Ġapiece": 47563, + "Ġprecincts": 47564, + "Ġpeach": 47565, + "Ġskyline": 47566, + "Ġ353": 47567, + "popular": 47568, + "Appearances": 47569, + "ĠMechanics": 47570, + "ĠDevOnline": 47571, + "Sullivan": 47572, + "Zen": 47573, + "Ġpu": 47574, + "opolis": 47575, + "544": 47576, + "Ġdeform": 47577, + "Ġcounteract": 47578, + "ĠLange": 47579, + "Ġ417": 47580, + "Console": 47581, + "774": 47582, + "Ġnodding": 47583, + "Ġpopulism": 47584, + "Ġhep": 47585, + "Ġcounselling": 47586, + "compliance": 47587, + "UFF": 47588, + "Ġundeniably": 47589, + "Ġrailing": 47590, + "ĠHorowitz": 47591, + "ĠSimone": 47592, + "ĠBungie": 47593, + "Ġak": 47594, + "ĠTalks": 47595, + "xff": 47596, + "flake": 47597, + "Crash": 47598, + "Ġsweaty": 47599, + "Ġbanquet": 47600, + "ĠOFFIC": 47601, + "Ġinventive": 47602, + "Ġastronomer": 47603, + "ĠStamford": 47604, + "ĠScare": 47605, + "ĠGREEN": 47606, + "olicited": 47607, + "Ġrusher": 47608, + "Ġcentrist": 47609, + "ighting": 47610, + "Ġsubclass": 47611, + "Ġdisav": 47612, + "Ġdefund": 47613, + "ĠNanto": 47614, + "ociate": 47615, + "mast": 47616, + "Ġpacif": 47617, + "Ġmend": 47618, + "eers": 47619, + "immigration": 47620, + "ESSION": 47621, + "Ġnumbering": 47622, + "Ġlaughable": 47623, + "ĠEnded": 47624, + "viation": 47625, + "emark": 47626, + "Pitt": 47627, + "Ġmeticulous": 47628, + "ĠLF": 47629, + "Ġcongratulated": 47630, + "ĠBirch": 47631, + "Ġswayed": 47632, + "Ġsemifinals": 47633, + "Ġhumankind": 47634, + "matter": 47635, + "ĠEquip": 47636, + "opausal": 47637, + "Said": 47638, + "ĠLayout": 47639, + "Ġvoicing": 47640, + "Ġthug": 47641, + "Ġpornographic": 47642, + "IPS": 47643, + "Ġmoaning": 47644, + "Ġgrievance": 47645, + "Ġconfessions": 47646, + "escal": 47647, + "TEXTURE": 47648, + "Authent": 47649, + "osaurus": 47650, + "Purchase": 47651, + "Ġrelegation": 47652, + "alter": 47653, + "Ġ³³": 47654, + "Ġriddled": 47655, + "Ġogre": 47656, + "ĠLowell": 47657, + "Occup": 47658, + "Eat": 47659, + "ĠHyder": 47660, + "ĠAdviser": 47661, + "Commerce": 47662, + "Hunt": 47663, + "ĠOrth": 47664, + "ĠCompetitive": 47665, + "ĠCLA": 47666, + "CDC": 47667, + "Ġsalads": 47668, + "Fle": 47669, + "Ġindustrialized": 47670, + "`,": 47671, + "ĠOWN": 47672, + "Ġbeck": 47673, + "ĠParticularly": 47674, + "oubt": 47675, + "ĠmM": 47676, + "ĠHussain": 47677, + "ĠChennai": 47678, + "Ġ920": 47679, + "Ġappointing": 47680, + "ĠCullen": 47681, + ",,,,,,,,": 47682, + "Ġpores": 47683, + "verified": 47684, + "Ġbiochemical": 47685, + "emate": 47686, + "Ġcowardly": 47687, + "ĠHelsinki": 47688, + "ĠEthiopian": 47689, + "SOURCE": 47690, + "ERC": 47691, + "estro": 47692, + "Ġbiotech": 47693, + "ĠSour": 47694, + "Ġbrewer": 47695, + "Bloomberg": 47696, + "Ġintensify": 47697, + "Glass": 47698, + "anco": 47699, + "ĠFDR": 47700, + "greSQL": 47701, + "ĠFires": 47702, + "©¶æ¥µ": 47703, + "eco": 47704, + "1001": 47705, + "ĠHomeless": 47706, + "Ġinstantaneous": 47707, + "ĠHaste": 47708, + "igel": 47709, + "Diamond": 47710, + "Ġpaving": 47711, + "Ġlandfill": 47712, + "Ġdads": 47713, + "houn": 47714, + ":]": 47715, + "Ġincendiary": 47716, + "ĠLivingston": 47717, + "ĠHilbert": 47718, + "ĠChecks": 47719, + "styles": 47720, + "inators": 47721, + "ĠClive": 47722, + "phrine": 47723, + "Ġchimpanzees": 47724, + "Ġpall": 47725, + "ĠJM": 47726, + "ĠAadhaar": 47727, + "ðĿ": 47728, + "Ġachievable": 47729, + "disabled": 47730, + "PET": 47731, + "OOOOOOOO": 47732, + "Mot": 47733, + "Ġintangible": 47734, + "Ġballet": 47735, + "ĠWebs": 47736, + "ĠEstimated": 47737, + "Effects": 47738, + "Ġbailed": 47739, + "Joshua": 47740, + "Ġturbulence": 47741, + "Ġoccupant": 47742, + "ĠDaylight": 47743, + "Ġ361": 47744, + "meet": 47745, + "Ġstatically": 47746, + "Ġonlook": 47747, + "Ġki": 47748, + "illegal": 47749, + "Ġvelvet": 47750, + "Ġdehydration": 47751, + "Ġacquies": 47752, + "ĠRez": 47753, + "akura": 47754, + "ĠUpton": 47755, + "atro": 47756, + "Ġincomprehensible": 47757, + "Ġbackdoor": 47758, + "ĠRhino": 47759, + "727": 47760, + "Ġmaths": 47761, + ")+": 47762, + "Ġheresy": 47763, + "Ġdf": 47764, + "ĠRoche": 47765, + "ĠLydia": 47766, + "Ġpancreat": 47767, + "reply": 47768, + "arrell": 47769, + "Ġsolicitation": 47770, + "Ġcircadian": 47771, + "BIP": 47772, + "Ġforay": 47773, + "Ġcryptic": 47774, + "izu": 47775, + "imeo": 47776, + "ĠTomato": 47777, + "ĠHoms": 47778, + "examination": 47779, + "Ġquarry": 47780, + "ĠValiant": 47781, + "ĠJericho": 47782, + "ĠINCLUD": 47783, + "Ġ1840": 47784, + "519": 47785, + "Ġresists": 47786, + "Ġsnapshots": 47787, + "ĠSpur": 47788, + "ĠAntiqu": 47789, + "Login": 47790, + "Ġbestselling": 47791, + "Ġantic": 47792, + "ĠSutherland": 47793, + "ãĤ¢ãĥ«": 47794, + "Ġ~/": 47795, + "ĠParm": 47796, + "èĥ": 47797, + "Pages": 47798, + "intensity": 47799, + "Ġimmobil": 47800, + "Ġ1865": 47801, + "zzo": 47802, + "Ġnifty": 47803, + "Ġfentanyl": 47804, + "ĠPreservation": 47805, + "ophen": 47806, + "Ġdarts": 47807, + "ĠDinosaur": 47808, + "pointers": 47809, + "ĠRite": 47810, + "suggest": 47811, + "awareness": 47812, + "ĠSheridan": 47813, + "Ġstances": 47814, + "Ġsorcery": 47815, + "Ġperjury": 47816, + "ĠNikola": 47817, + "iever": 47818, + "Ġfiance": 47819, + "ĠJordanian": 47820, + "ĠBalloon": 47821, + "Ġnab": 47822, + "Ġkb": 47823, + "Ġhumanities": 47824, + "ĠTanaka": 47825, + "hillary": 47826, + "Ġconsultancy": 47827, + "ĠZub": 47828, + "Ġremission": 47829, + "Ġconfid": 47830, + "CHQ": 47831, + "ĠFug": 47832, + "Ġimprovis": 47833, + "Yep": 47834, + "/_": 47835, + "Ġunwillingness": 47836, + "Ġportfolios": 47837, + "055": 47838, + "ĠInstructor": 47839, + "aiman": 47840, + "Ġclaimants": 47841, + "Mbps": 47842, + "ĠBye": 47843, + "received": 47844, + "Tweet": 47845, + "Ġindemn": 47846, + "riz": 47847, + "amara": 47848, + "Nat": 47849, + "Ġevaluates": 47850, + "ĠLur": 47851, + "epad": 47852, + "FOX": 47853, + "ĠThro": 47854, + "Ġrusty": 47855, + "Ġbedrock": 47856, + "ĠOprah": 47857, + "JB": 47858, + "Ġmanipulative": 47859, + "Ġwillful": 47860, + "Ġrelapse": 47861, + "Ġextant": 47862, + "Theme": 47863, + "Sensor": 47864, + "ĠStability": 47865, + "govern": 47866, + "Ġpoppy": 47867, + "Ġknack": 47868, + "Ġinsulated": 47869, + "ĠTile": 47870, + "ĠExtrem": 47871, + "Ġuntold": 47872, + "Ġconverge": 47873, + "Ġrefuel": 47874, + "igroup": 47875, + "Ġdistortions": 47876, + "Ġravaged": 47877, + "Ġmechanically": 47878, + "ĠReilly": 47879, + "ĠNose": 47880, + "ĠIncarnation": 47881, + "ĠBecky": 47882, + "abbling": 47883, + "Ġtaco": 47884, + "Ġrake": 47885, + "Ġmelancholy": 47886, + "Ġillustrious": 47887, + "ĠDartmouth": 47888, + "Guide": 47889, + "ĠRazer": 47890, + "ĠBenz": 47891, + "Ultimate": 47892, + "ĠSurprise": 47893, + "Ġpageant": 47894, + "offer": 47895, + "Whoever": 47896, + "Ġwiser": 47897, + "Ġchemist": 47898, + "ĠHELL": 47899, + "ĠBulk": 47900, + "Ġplutonium": 47901, + "ĠCOVER": 47902, + "Ö¼": 47903, + "failed": 47904, + "Ġtirelessly": 47905, + "Ġinfertility": 47906, + "ĠTrident": 47907, + "ĠShowtime": 47908, + "ĠCiv": 47909, + "Vice": 47910, + "requires": 47911, + "ittance": 47912, + "Ġuncontrolled": 47913, + "interesting": 47914, + "561": 47915, + "Ġinnovate": 47916, + "ategic": 47917, + "Lie": 47918, + "ĠSelling": 47919, + "Ul": 47920, + "Ġsavior": 47921, + "ĠTosh": 47922, + "Ġswast": 47923, + "PASS": 47924, + "Ġrink": 47925, + "Ġcardio": 47926, + "ĠIro": 47927, + "udi": 47928, + "Ġvantage": 47929, + "Ġvans": 47930, + "ĠNiño": 47931, + "+=": 47932, + "Ġpropagate": 47933, + "": 49029, + "Ġleukemia": 49030, + "Ġeluc": 49031, + "Ġannouncer": 49032, + "ĠLithuan": 49033, + "ĠArmageddon": 49034, + "åĩ": 49035, + "Lenin": 49036, + "ĠRuk": 49037, + "Ġpepp": 49038, + "ĠRomantic": 49039, + "ĠPIT": 49040, + "ĠInterstellar": 49041, + "ĠAtkinson": 49042, + "Raid": 49043, + "Js": 49044, + "Goal": 49045, + "Course": 49046, + "Ġvanishing": 49047, + "esley": 49048, + "ĠRounds": 49049, + "Elsa": 49050, + "593": 49051, + "Ġredundancy": 49052, + "ĠSTAND": 49053, + "Ġprophetic": 49054, + "Ġhabitable": 49055, + "ryu": 49056, + "Ġfaintly": 49057, + "MODE": 49058, + "Ġflanked": 49059, + "IRC": 49060, + "Awesome": 49061, + "Ġspurious": 49062, + "ĠZah": 49063, + "ĠMSG": 49064, + "Ġshading": 49065, + "Ġmotivational": 49066, + "ĠSantana": 49067, + "ĠSPR": 49068, + "Ġexcruciating": 49069, + "omial": 49070, + "ĠMiko": 49071, + "ĠLeopard": 49072, + "Abyss": 49073, + "Ġ[|": 49074, + "dirty": 49075, + "Ġbaths": 49076, + "Ġdemoral": 49077, + "andre": 49078, + "PB": 49079, + "Ġunification": 49080, + "Ġsacrament": 49081, + "Ġ[&": 49082, + "Ġpriceless": 49083, + "Ġgelatin": 49084, + "Ġemanating": 49085, + "ĠAllaah": 49086, + "986": 49087, + "Ġoutburst": 49088, + "Ġeras": 49089, + "ĠXVI": 49090, + "ĠSPI": 49091, + "Ott": 49092, + "ĠLazarus": 49093, + "PLIED": 49094, + "Flying": 49095, + "blogs": 49096, + "Wisconsin": 49097, + "Raven": 49098, + "Ġrebate": 49099, + "Ġcreeps": 49100, + "ĠSpan": 49101, + "ĠPainter": 49102, + "ĠKira": 49103, + "ĠAmos": 49104, + "ĠCorvette": 49105, + "Consumer": 49106, + "ĠRecover": 49107, + "cki": 49108, + "Ġpesky": 49109, + "ĠInvention": 49110, + "Companies": 49111, + "Ġchallengers": 49112, + "ademic": 49113, + "ĠUkrainians": 49114, + "ĠNeurolog": 49115, + "ĠForsaken": 49116, + "Ġentrants": 49117, + "Ġembattled": 49118, + "Ġdefunct": 49119, + "ĠGlacier": 49120, + "Ġpoisons": 49121, + "ĠHorses": 49122, + "makes": 49123, + "ĠDirt": 49124, + "Ġ423": 49125, + "hhh": 49126, + "ĠTransformation": 49127, + "QUIRE": 49128, + "..................": 49129, + "Ġtraveller": 49130, + "ĠSexy": 49131, + "ĠKern": 49132, + "ipolar": 49133, + "Ġransomware": 49134, + "oooooooooooooooo": 49135, + "Ec": 49136, + "ruby": 49137, + "Professional": 49138, + "ĠOutbreak": 49139, + "argument": 49140, + "Grey": 49141, + "ĠFifa": 49142, + "ĠCHO": 49143, + "ĠFORM": 49144, + "ĠAmtrak": 49145, + "-[": 49146, + "Ġcradle": 49147, + "Ġantioxidants": 49148, + "ãģ®å®": 49149, + "736": 49150, + "ĠNASL": 49151, + "ĠContributions": 49152, + "Indiana": 49153, + "ĠSTEP": 49154, + "CSS": 49155, + "Ġsalient": 49156, + "Ġallocations": 49157, + "yrights": 49158, + "Ġmashed": 49159, + "ĠCutter": 49160, + "Sexual": 49161, + "Ġpounded": 49162, + "Ġfanbase": 49163, + "Ġcasc": 49164, + "ĠTransparency": 49165, + "Ġanalytic": 49166, + "ĠSummoner": 49167, + "×ŀ": 49168, + "ĠADC": 49169, + "detail": 49170, + "Ġvanquished": 49171, + "Ġcrabs": 49172, + "arie": 49173, + "Destroy": 49174, + "ĠSack": 49175, + "Ġtransistor": 49176, + "Alabama": 49177, + "ĠKoen": 49178, + "ĠFisheries": 49179, + "cone": 49180, + "Ġannexed": 49181, + "ĠMGM": 49182, + "esa": 49183, + "Ġfaked": 49184, + "ĠCongratulations": 49185, + "Ġhindered": 49186, + "Ġcorrectional": 49187, + "ĠITV": 49188, + "leeve": 49189, + "Ġinappropriately": 49190, + "licks": 49191, + "Ġtrespass": 49192, + "Ġpaws": 49193, + "Ġnegotiator": 49194, + "ĠChristensen": 49195, + "limits": 49196, + "ĠDianne": 49197, + "Ġelegance": 49198, + "ĠContracts": 49199, + "anke": 49200, + "Obj": 49201, + "Ġvigilance": 49202, + "Ġcastles": 49203, + "ĠNAD": 49204, + "ĠHolo": 49205, + "Ġemphatically": 49206, + "ĠTitus": 49207, + "ĠServing": 49208, + "ĠRichie": 49209, + "ĠPigs": 49210, + "568": 49211, + "Ġanimosity": 49212, + "ĠAttributes": 49213, + "ĠUriel": 49214, + "MQ": 49215, + "myra": 49216, + "ĠApplicant": 49217, + "Ġpsychiatrists": 49218, + "ĠVij": 49219, + "ĠAbby": 49220, + "agree": 49221, + "Push": 49222, + "ĠkWh": 49223, + "hiba": 49224, + "Ġincite": 49225, + "ĠWeasley": 49226, + "ĠTaxi": 49227, + "ministic": 49228, + "hyper": 49229, + "ĠFarn": 49230, + "Ġ601": 49231, + "ĠNationwide": 49232, + "Fake": 49233, + "952": 49234, + "Ġmaize": 49235, + "Ġinteracted": 49236, + "Ġtransitioned": 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"Ġl oc", + "Ġdiffere nt", + "Ġst ate", + "Ġhe ad", + "' ll", + "Ġp oss", + "Ġst at", + "re t", + "ant s", + "Ġv al", + "Ġis s", + "Ġc le", + "i vers", + "an c", + "Ġex pl", + "Ġan other", + "Ġ Q", + "Ġa v", + "th ing", + "n ce", + "W h", + "Ġch ild", + "Ġs ince", + "i red", + "l ess", + "Ġl ife", + "Ġde velop", + "itt le", + "Ġde p", + "Ġp ass", + "ã ĥ", + "Ġt urn", + "or n", + "Th is", + "b ers", + "ro ss", + "ĠA d", + "Ġf r", + "Ġres p", + "Ġsec ond", + "o h", + "Ġ /", + "Ġdis c", + "Ġ &", + "Ġsomet hing", + "Ġcomp le", + "Ġ ed", + "Ġf il", + "Ġmon th", + "a j", + "u c", + "Ġgovern ment", + "Ġwith out", + "Ġle g", + "Ġd ist", + "Ġp ut", + "Ġqu est", + "an n", + "Ġpro t", + "2 0", + "Ġne ver", + "i ence", + "Ġle vel", + "Ġar t", + "Ġth ings", + "Ġm ight", + "Ġeff ect", + "Ġcont ro", + "Ġc ent", + "Ġ1 8", + "Ġall ow", + "Ġbel ie", + "ch ool", + "ot t", + "Ġinc re", + "Ġfe el", + "Ġres ult", + "Ġl ot", + "Ġf un", + "ot e", + "Ġt y", + "ere st", + "Ġcont in", + "Ġus ing", + "Ġb ig", + "2 01", + "Ġas k", + "Ġb est", + "Ġ )", + "I N", + "Ġo pp", + "3 0", + "Ġnum ber", + "in ess", + "S t", + "le ase", + "Ġc a", + "Ġm ust", + "Ġd irect", + "Ġg l", + "Ġ <", + "Ġop en", + "Ġp ost", + "Ġcom e", + "Ġse em", + "ord ing", + "Ġwe ek", + "ate ly", + "it al", + "Ġe l", + "ri end", + "Ġf ar", + "Ġt ra", + "in al", + "Ġp ri", + "ĠU S", + "Ġpl ace", + "Ġfor m", + "Ġto ld", + "\" :", + "ain s", + "at ure", + "ĠTr ump", + "Ġst and", + "Ġ #", + "id er", + "ĠF r", + "Ġne xt", + "Ġs oc", + "Ġp ur", + "Ġle t", + "Ġl ittle", + "Ġh um", + "Ġ i", + "r on", + "1 5", + "Ġ1 5", + "Ġcomm un", + "Ġm ark", + "ĠThe re", + "Ġw r", + "ĠTh at", + "Ġin formation", + "w ays", + "Ġb us", + "a pp", + "Ġinv est", + "m e", + "Ġh ard", + "ain ed", + "e ad", + "Ġim port", + "Ġapp ro", + "Ġt est", + "Ġt ri", + "Ġre st", + "os ed", + "Ġf ull", + "Ġc are", + "ĠS p", + "Ġc ase", + "O N", + "Ġs k", + "Ġl ess", + "Ġ +", + "Ġpart ic", + "ĠP l", + "ab ly", + "u ck", + "is hed", + "ch n", + "b e", + "Ġl ist", + "at or", + "Ġto p", + "Ġad v", + "ĠB e", + "ru ct", + "Ġd em", + "r ation", + "l ing", + "g y", + "re en", + "g er", + "Ġh ome", + "Ġle ft", + "Ġbet ter", + "Ġd ata", + "Ġ1 1", + "Ġatt ack", + "Ġpro ble", + "l ine", + "ard s", + "Ġbe h", + "r al", + "ĠH ow", + "ĠS he", + "ar ge", + "Ġ --", + ": //", + "Ġb ro", + "ĠP h", + "at s", + "Ġbu ild", + "w w", + "id ed", + "a im", + "as es", + "en cy", + "Ġm ain", + "in ed", + "Ġinclud ing", + "Ġ {", + "Ġg ot", + "Ġint erest", + "Ġke ep", + "Ġ X", + "Ġe as", + "ain ing", + "Ġcl ass", + "âĢ ¦", + "ĠN o", + "Ġv ar", + "Ġsm all", + "amp le", + "A T", + "Ġ ide", + "ĠS o", + "Ġre ce", + "Ġpol it", + "Ġm ov", + "Ġpl an", + "Ġper cent", + "iv ing", + "Ġc amp", + "Ġp ay", + "1 4", + "s c", + "is ed", + "Ġu nt", + "one y", + "pl oy", + "== ==", + "Ġdid n", + "ĠI nd", + "el s", + "ert ain", + "Ġp os", + "__ __", + "i ver", + "Ġpro cess", + "Ġprog ram", + "if ied", + "ĠR ep", + "1 6", + "u ro", + "olog y", + "at ter", + "in a", + "Ġn ame", + "ĠA ll", + "Ġf our", + "Ġret urn", + "v ious", + "b s", + "Ġcall ed", + "Ġm ove", + "ĠS c", + "ir d", + "Ġgrou p", + "Ġb re", + "Ġm en", + "Ġc ap", + "t en", + "e e", + "Ġd ri", + "le g", + "he re", + "uth or", + "Ġp at", + "Ġcur rent", + "id es", + "Ġp op", + "t o", + "ent ion", + "Ġal ways", + "Ġm il", + "Ġwom en", + "Ġ1 6", + "Ġo ld", + "iv en", + "ra ph", + "ĠO r", + "r or", + "ent ly", + "Ġn ear", + "ĠE x", + "re am", + "s h", + "Ġ1 4", + "Ġf ree", + "iss ion", + "st and", + "ĠC on", + "al ity", + "us ed", + "1 3", + "Ġdes ign", + "Ġch ange", + "Ġch ang", + "Ġb o", + "Ġv is", + "em ber", + "Ġb ook", + "read y", + "Ġk ill", + "2 5", + "pp ed", + "Ġa way", + "Ġab le", + "Ġcount ry", + "Ġcon st", + "ar n", + "Ġor der", + "A R", + "i or", + "i um", + "or th", + "1 8", + "ail able", + "Ġs w", + "Ġm illion", + "Ġ1 3", + "at ic", + "t ed", + "ĠG o", + "Ġo per", + "en g", + "Ġth ing", + "aj or", + "con om", + "ĠCom m", + "Ġwh y", + "u red", + "ur al", + "Ġs chool", + "b y", + "ĠM ar", + "Ġa ff", + "Ġd ays", + "Ġan n", + "us h", + "an e", + "I f", + "e g", + "Ġpro f", + "Ġhe alth", + "ou th", + "B ut", + "ion al", + ". ,", + "Ġs ol", + "Ġal ready", + "Ġ3 0", + "Ġchar act", + "H e", + "Ġf riend", + "E S", + "i ans", + "ic le", + "' d", + "ĠO n", + "Ġle ast", + "Ġp rom", + "Ġd r", + "Ġh ist", + "it her", + "Ġ est", + "i qu", + "1 7", + "s on", + "Ġte ll", + "Ġt alk", + "oh n", + "o int", + "le ction", + "A N", + "Ġunt il", + "au gh", + "Ġl ater", + "Ġ ve", + "Ġv iew", + "end ing", + "iv ed", + "Ġwor d", + "w are", + "Ġc ost", + "Ġen ough", + "Ġg ive", + "ĠUn ited", + "Ġte chn", + "are nt", + "O R", + "Ġp ar", + "ĠD r", + "Ġ201 6", + "r ist", + "er ing", + "Ġ Â", + "Ġl arge", + "s ide", + "ac y", + "cc ess", + "Ġw in", + "Ġimport ant", + "Ġ19 9", + "Ġdoes n", + "Ġ1 7", + "Ġbus iness", + "Ġcle ar", + "Ġre se", + "\" ,", + "ur y", + "Ġe qu", + "as ter", + "al f", + "ĠAmeric an", + "n ect", + "Ġex pect", + "ivers ity", + "Ġo cc", + "ĠF l", + "Ġk ind", + "Ġme an", + "Ġp ast", + "Ġde v", + "Ġb as", + "le t", + "ra ft", + "Ġor gan", + "Ġde l", + "Ġper form", + "Ġst ory", + "Ġse ason", + "ĠC ol", + "Ġcl aim", + "Ġc ame", + "Ġwith in", + "Ġl ine", + "Ġpro ject", + "ĠA t", + "Ġcontro l", + "end ed", + "ĠS y", + "Ġa ir", + "iz ation", + "Ġ *", + "le y", + "Ġm oney", + "id d", + "Y ou", + "f or", + "Ġfam ily", + "Ġm aking", + "Ġb it", + "Ġpol ice", + "Ġhapp en", + "Ġ vers", + "on y", + "u ff", + "ĠW hen", + "Ġs it", + "ide o", + "l f", + "is on", + "Ġsu re", + "g in", + "Ġapp ear", + "Ġl ight", + "Ġ es", + "o f", + "Ġw ater", + "Ġt imes", + "n ot", + "Ġg row", + "Ġcomp any", + "ĠT e", + "ow s", + "Ġm ar", + "our ce", + "i ol", + "ar m", + "b r", + "Ġex ample", + "Ġcon c", + "Ġf ore", + "ĠT o", + "p ro", + "E N", + "ri es", + "Ġ2 5", + "ĠC an", + "ne y", + "Ġact ually", + "Ġe ver", + "ur ity", + "ak en", + "ap s", + "Ġt ax", + "Ġm ajor", + "am a", + "Ġof ten", + "er al", + "Ġhum an", + "Ġj ob", + "is ter", + "Ġav ailable", + "oc r", + "en n", + "a id", + "iv id", + "Ġrec ord", + "? \"", + "Ġs ing", + "ĠA m", + "id ence", + "Ġnew s", + "st er", + "Ġe conom", + "Ġfollow ing", + "ĠB r", + "is ing", + "Ġh our", + "m ost", + "um ent", + "Ġse x", + "Ġdes c", + "Ġbec ome", + "ĠE d", + "Ġto ok", + "Ġha ving", + "Ġprodu ct", + "a ult", + "A s", + "ar ing", + "Ġme ans", + "Ġh op", + "un e", + "Ġch o", + "Ġc ertain", + "Ġn on", + "Ġde al", + "2 4", + "le ment", + "oc i", + "en e", + "Ġs ide", + "ĠP r", + "ĠM ay", + "Ġre ason", + "u ed", + "c hed", + "ul ation", + "Ġe lect", + "Ġoffic ial", + "Ġposs ible", + "Ġh old", + "and s", + "ot s", + "Ġc ity", + "or ies", + "Ġse ver", + "Ġchild ren", + "Ġon ce", + "Ġact iv", + "l er", + "Ġn ight", + "it ions", + "ĠJ ohn", + "a pe", + "pl ay", + "Ġd one", + "Ġl im", + "Ġwork ing", + "ĠP res", + "or ld", + "e b", + "ĠC o", + "Ġb ody", + "ail s", + "ut es", + "ĠM r", + "Ġwhe ther", + "Ġa uthor", + "ro p", + "Ġpro per", + "Ġse en", + ") ;", + "Ġf ac", + "ĠS u", + "Ġcon d", + "it ing", + "Ġcour se", + "Ġ }", + "-------- --------", + "a ign", + "Ġev ent", + "Ġen g", + "Ġp ot", + "Ġin tern", + "i am", + "Ġsh ort", + "em pt", + "ã Ĥ", + "ĠG od", + "il ar", + "8 0", + "Ġor ig", + "I S", + "our n", + "ab ility", + "it ive", + "Ġd am", + "Ġ1 00", + "Ġp ress", + "Ġdo ing", + "Ġprot ect", + "r ing", + "Ġthough t", + "Ġquest ion", + "re w", + "ĠW ar", + "Ġsever al", + "ĠSt ate", + "Ġg iven", + "Ġf und", + "ĠT w", + "Ġw ent", + "an ces", + "w ork", + "p or", + "m y", + "4 0", + "Ġar g", + "art ment", + "ust om", + "Ġpol ic", + "Ġme et", + "Ġc reat", + "2 2", + "ĠSt ates", + "Ġg ames", + "ra w", + "ut ure", + "Ġunder stand", + "ur s", + "ĠO b", + "l ish", + "s y", + "Ġm akes", + "Ġw on", + "ag on", + "Ġh tt", + "Ġl ove", + "ent ial", + "Ġcomple te", + "p ar", + "ĠI m", + "A L", + "Ġacc ount", + " ł", + "ore d", + "ver t", + "Ġ ident", + "Ġ201 5", + "Ġother s", + "ĠM in", + "i ber", + "ver age", + "The re", + "ition al", + "d d", + "Ġpro b", + "Ġyou ng", + "Ġal ong", + "Ġacc ording", + "Ġy et", + "Ġmem bers", + "ĠWh at", + "o id", + "ĠM an", + "A nd", + "Ġam ong", + "a i", + "Ġem ploy", + "ĠR es", + "Ġ >", + "Ġinv ol", + "Ġl ow", + "a f", + "ĠC ar", + "Ġh ig", + "ĠO ne", + "ĠS ec", + "in ation", + "Ġlike ly", + "Ġan t", + "ag ed", + "ĠR uss", + "Ġb en", + "Ġre le", + "F or", + "b ack", + "ĠN ot", + "Ġpres ident", + "b all", + "Ġacc ess", + "ivid ual", + "ĠD em", + "ĠE uro", + "6 0", + "Ġkn own", + "ir l", + "ĠG r", + "Ġear ly", + "u se", + "iet y", + "âĢ ĵ", + "Ġf ight", + "Ġs ent", + "Ġto day", + "Ġmark et", + "\" .", + "Ġb ased", + "Ġstr ong", + "ur ther", + "Ġde b", + "m ber", + "Ġproble m", + "Ġde ath", + "Ġsoc ial", + "im ate", + "A S", + "ort un", + "Ġcamp aign", + "er y", + "C h", + "Ġe y", + "i ally", + "Ġm us", + "w h", + "p os", + "Ġ er", + "Ġsa f", + "Ġmonth s", + "ir on", + "Ġv iol", + "Ġf ive", + "Ġst re", + "Ġplay ers", + "in c", + "al d", + "y ear", + "a un", + "Ġsu ccess", + "Ġpres ent", + "ere nce", + "Ġ201 4", + "Ġsu gg", + "Ġpartic ular", + "Ġtr y", + "Ġsugg est", + "ĠCh rist", + "on es", + "Ġpri v", + "2 3", + "Ġc rit", + "Ġl and", + "Ġloc al", + "if y", + "2 9", + "Ġa ut", + "E D", + "ĠG u", + "Ġm ult", + "Ġpolit ical", + "Ġask ed", + "Ġfor mer", + "it ter", + "ri pt", + "Ġcl ose", + "Ġp ract", + "ĠY ork", + "Ġget ting", + "Ġac ross", + "Ġcom b", + "Ġbelie ve", + "Ġ z", + "Ġto get", + "Ġtoget her", + "ĠC ent", + "ir c", + "Ġind ividual", + "ĠM c", + "2 7", + "is k", + "ĠE ng", + "Ġf ace", + "Ġ2 4", + "Ġval ue", + "Ġare a", + "e v", + "Ġw rit", + "ĠPres ident", + "Ġv ot", + "Ġke y", + "Ġm om", + "p ut", + "Ġany thing", + "Ġexper ience", + "att le", + "Ġm ind", + "a ff", + "om m", + "Ġf uture", + "g ed", + "Ġc ut", + "Ġto t", + "it ch", + "Ġv ideo", + "Ġinvest ig", + "Ġn et", + "ĠM y", + "r ict", + "i en", + ". )", + "Ġimp ro", + "th ough", + "ward s", + "Ġcon nect", + "ĠM ed", + "sel ves", + "ens ive", + "m b", + "o ber", + "at ors", + "A n", + "Ġ5 0", + "Ġre du", + "res ent", + "Ġab ove", + "Ġf re", + "ĠEuro pe", + "s w", + "Ġam ount", + "ĠA pp", + "Ġe ither", + "Ġmil it", + "Ġan al", + "Ġf ail", + "ĠE n", + "al es", + "Ġspec ial", + "Ġbl ack", + "I T", + "c her", + "Ġlook ing", + "Ġf ire", + "y n", + "Ġal most", + "o on", + "Ġstud y", + "Ġm iss", + "c hes", + "ro wn", + "Ġt re", + "Ġcommun ity", + "Ġmed ia", + "Ġf ood", + "Ġcom es", + "ĠUn iversity", + "Ġsing le", + "Wh at", + "u ly", + "Ġh alf", + "ag ue", + "h od", + "ĠRep ublic", + "Ġstart ed", + "Ġqu ick", + "ot o", + "b ook", + "Ġiss ue", + "it or", + "Ġel se", + "Ġcons ider", + "2 6", + "ro du", + "Ġt aken", + "2 8", + "9 9", + "ĠW ith", + "Ġtr ue", + "Ġw a", + "Ġtr ad", + "Ġag o", + "Ġm ess", + "ie f", + "Ġadd ed", + "o ke", + "Ġb ad", + "Ġf av", + "3 3", + "Ġsim ilar", + "as k", + "ĠD on", + "Ġcharact er", + "ort s", + "ĠH ouse", + "Ġreport ed", + "Ġty pe", + "v al", + "i od", + "ĠHow ever", + "Ġt arg", + "Ġent ire", + "pp ing", + "Ġhist ory", + "Ġl ive", + "ff ic", + ".... ....", + "ed eral", + "Ġtr ying", + "Ġdisc uss", + "ĠH ar", + "ac es", + "l ished", + "Ġse lf", + "os p", + "re st", + "Ġro om", + "el t", + "Ġf all", + "ol ution", + "Ġe t", + "Ġ x", + "Ġis n", + "Ġide a", + "b o", + "Ġs ound", + "ĠD ep", + "Ġsome one", + "ci ally", + "ull y", + "Ġf oc", + "Ġob ject", + "if t", + "ap er", + "Ġplay er", + "Ġr ather", + "Ġserv ice", + "as hing", + "ĠD o", + "ĠP art", + "ru g", + "m on", + "p ly", + "Ġm or", + "Ġnot hing", + "Ġprov ide", + "I C", + "un g", + "Ġpart y", + "Ġex ist", + "Ġm ag", + "7 0", + "Ġr ul", + "Ġh ouse", + "Ġbeh ind", + "Ġhow ever", + "ĠW orld", + "Ġs um", + "Ġapp lic", + "Ġ ;", + "Ġfun ction", + "g r", + "ĠP ol", + "Ġfr ont", + "2 00", + "Ġser ies", + "Ġt em", + "Ġty p", + "ill s", + "Ġo pt", + "Ġpoint s", + "Ġbel ow", + "itt ed", + "Ġspec ific", + "Ġ201 7", + "um b", + "Ġr a", + "Ġpre vious", + "Ġpre t", + "re me", + "Ġc ustom", + "Ġcour t", + "ĠM e", + "Ġre pl", + "Ġwho le", + "g o", + "c er", + "Ġt reat", + "ĠA ct", + "Ġprob ably", + "Ġle arn", + "end er", + "ĠA ss", + "Ġvers ion", + "n ow", + "Ġche ck", + "ĠC al", + "R E", + "min ist", + "O n", + "our ces", + "Ġben ef", + "Ġd oc", + "Ġdet er", + "Ġen c", + "Ġsu per", + "Ġadd ress", + "Ġv ict", + "Ġ201 3", + "Ġme as", + "t r", + "Ġf ield", + "W hen", + "Ġsign ific", + "u ge", + "Ġfe at", + "Ġcomm on", + "l oad", + "Ġbe gin", + "Ġbr ing", + "Ġa ction", + "er man", + "Ġdesc rib", + "Ġind ust", + "Ġwant ed", + "ri ed", + "m ing", + "Ġatt empt", + "4 5", + "f er", + "Ġd ue", + "ress ion", + "# #", + "Ġsh all", + "Ġs ix", + "o o", + "Ġst ep", + "Ġp ub", + "Ġhim self", + "Ġ2 3", + "Ġc op", + "Ġd est", + "Ġst op", + "A C", + "ib ility", + "Ġl ab", + "ic ult", + "Ġhour s", + "Ġcre ate", + "Ġf urther", + "ĠAmeric a", + "ĠC ity", + "Ġd ou", + "he ad", + "S T", + "ĠN orth", + "c ing", + "Ġn ational", + "u le", + "ĠIn st", + "Ġt aking", + "ĠQ u", + "ir t", + "Ġre d", + "Ġrese arch", + "v iron", + "ĠG e", + "Ġbre ak", + "an a", + "Ġsp ace", + "ater ial", + "Ġrec ent", + "ĠA b", + "Ġgener al", + "Ġh it", + "Ġper iod", + "Ġevery thing", + "ive ly", + "Ġph ys", + "Ġsay ing", + "an ks", + "Ġc ou", + "Ġc ult", + "ac ed", + "e al", + "u ation", + "Ġc oun", + "l u", + "Ġinclud e", + "Ġpos ition", + "ĠA fter", + "ĠCan ad", + "ĠE m", + "Ġim m", + "ĠR ed", + "Ġp ick", + "Ġcom pl", + "Ġm atter", + "re g", + "e xt", + "ang u", + "is c", + "o le", + "a ut", + "Ġcomp et", + "e ed", + "f ect", + "Ġ2 1", + "ĠS en", + "ĠThe se", + "as ing", + "Ġcan not", + "Ġin it", + "Ġrel ations", + "ac hed", + "Ġb ar", + "Ġ4 0", + "ĠT H", + "Ġ201 2", + "Ġv ol", + "Ġg round", + "Ġsec urity", + "Ġup d", + "il t", + "3 5", + "Ġconc ern", + "ĠJ ust", + "Ġwh ite", + "Ġseem s", + "ĠH er", + "pe cially", + "i ents", + "Ġann oun", + "Ġf ig", + "ight s", + "Ġst ri", + "l ike", + "id s", + "Ġs us", + "Ġw atch", + "Ġ â", + "Ġw ind", + "ĠC ont", + "Ġit self", + "Ġm ass", + "A l", + "y le", + "iqu e", + "ĠN ational", + "Ġab s", + "Ġp ack", + "Ġout side", + "Ġan im", + "Ġp ain", + "et er", + "Ġman ag", + "du ct", + "og n", + "Ġ ]", + "ĠSe pt", + "se c", + "o ff", + "ĠJ an", + "Ġf oot", + "ad es", + "Ġth ird", + "Ġm ot", + "Ġev idence", + "int on", + "Ġth reat", + "a pt", + "pl es", + "c le", + "Ġl o", + "Ġde cl", + "Ġit em", + "med i", + "Ġrep resent", + "om b", + "am er", + "Ġsignific ant", + "og raph", + "s u", + "Ġc al", + "i res", + "00 00", + "I D", + "A M", + "Ġsim ply", + "Ġlong er", + "Ġf ile", + "O T", + "c he", + "S o", + "ate g", + "or g", + "ĠH is", + "Ġen er", + "Ġd om", + "Ġup on", + "il i", + "\": \"", + "Ġthem selves", + "Ġcom ing", + "Ġqu ite", + "Ġdiff icult", + "ĠB ar", + "il ities", + "re l", + "end s", + "c ial", + "6 4", + "Ġwom an", + "ra p", + "y r", + "Ġne cess", + "ip s", + "Ġte xt", + "Ġrequ ire", + "Ġmilit ary", + "Ġre view", + "Ġresp ons", + "7 5", + "Ġsub ject", + "Ġinst ead", + "Ġiss ues", + "Ġg en", + "\" ,\"", + "Ġmin utes", + "Ġwe ap", + "r ay", + "am ed", + "t ime", + "b l", + "H ow", + "Ġc ode", + "ĠS m", + "Ġhig her", + "ĠSt e", + "r is", + "Ġp age", + "Ġstud ents", + "ĠIn tern", + "Ġmet hod", + "ĠA ug", + "ĠP er", + "ĠA g", + "Ġpolic y", + "ĠS w", + "Ġex ec", + "Ġac cept", + "um e", + "rib ut", + "Ġword s", + "Ġfin al", + "Ġchang es", + "ĠDem ocr", + "Ġfriend s", + "Ġres pect", + "Ġe p", + "Ġcomp an", + "iv il", + "Ġdam age", + "** **", + "og le", + "viron ment", + "Ġne g", + "ent al", + "Ġa p", + "Ġtot al", + "iv al", + "! \"", + "l im", + "Ġneed s", + "Ġag re", + "Ġdevelop ment", + "Ġa ge", + "ip le", + "2 1", + "Ġresult s", + "ĠA f", + "S h", + "Ġg un", + "ĠOb ama", + "ro ll", + "Ġ @", + "Ġright s", + "ĠB rit", + "Ġrun ning", + "Ġwas n", + "Ġp ort", + "Ġr ate", + "Ġpret ty", + "Ġtarg et", + "Ġsa w", + "Ġc irc", + "Ġwor ks", + "ic ro", + "al t", + "o ver", + "ww w", + "Th at", + "l ier", + "Ġevery one", + "ud e", + "Ġp ie", + "idd le", + "ra el", + "Ġr ad", + "Ġbl ock", + "Ġw alk", + "T o", + "ã ģ", + "n es", + "ĠA ust", + "a ul", + "ro te", + "ĠS outh", + "ess ion", + "op h", + "Ġshow s", + "Ġs ite", + "Ġj o", + "Ġr isk", + "cl us", + "l t", + "Ġin j", + "id ing", + "ĠS pe", + "Ġch all", + "ir m", + "Ġ2 2", + "itt ing", + "st r", + "Ġh y", + "L E", + "ke y", + "Ġbe gan", + "at ur", + "ashing ton", + "l am", + "ĠD av", + "b it", + "Ġs ize", + "ĠP ar", + "3 8", + "ourn al", + "f ace", + "Ġdec ision", + "Ġl arg", + "Ġj ud", + "re ct", + "Ġcontin ue", + "ĠO ct", + "ove red", + "ĠI nt", + "==== ====", + "Ġp arent", + "ĠW ill", + "Ġeas y", + "Ġd rug", + "ang er", + "Ġs ense", + "Ġd i", + "id ay", + "Ġener gy", + "ist ic", + "Ġass oci", + "ar ter", + "ob al", + "e ks", + "ĠE l", + "ur ch", + "Ġg irl", + "o e", + "it le", + "Ġ2 8", + "ĠC he", + "Ġrequ est", + "Ġso on", + "Ġh ost", + "k y", + "Ġst ates", + "om es", + "Ġm aterial", + "le x", + "Ġmom ent", + "Ġan sw", + "on se", + "Ġes pecially", + "Ġn orm", + "Ġserv ices", + "p ite", + "r an", + "Ġro le", + "4 4", + ") :", + "Ġc red", + "C l", + "____ ____", + "Ġm at", + "Ġl og", + "ĠCl inton", + "O U", + "Ġoff ice", + "Ġ2 6", + "Ġch arg", + "Ġtr ack", + "m a", + "Ġhe art", + "Ġb all", + "Ġperson al", + "Ġbuild ing", + "n a", + "s et", + "b ody", + "ĠBl ack", + "Ġincre ase", + "itt en", + "Ġneed ed", + "3 6", + "3 2", + "= \"", + "Ġl ost", + "Ġbec ame", + "Ġgrou ps", + "ĠM us", + "Ġw rote", + "ĠP e", + "Ġpro p", + "j oy", + "à ©", + "ĠWh ite", + "Ġde ad", + ". '", + "Ġhtt p", + "Ġwe bs", + "O S", + "Ġins ide", + "Ġwr ong", + "Ġstat ement", + "Ġ ...", + "y l", + "Ġfil m", + "Ġmus ic", + "Ġsh are", + "ific ation", + "Ġre lease", + "Ġfor ward", + "Ġst ay", + "Ġcomp ut", + "it te", + "s er", + "Ġorig inal", + "Ġc ard", + "Ġc and", + "Ġd iv", + "at ural", + "Ġfav or", + "O M", + "Ġc ases", + "us es", + "Ġse ction", + "Ġle ave", + "g ing", + "ov ed", + "ĠW ashington", + "3 9", + "ĠG l", + "Ġrequ ired", + "act ion", + "ap an", + "o or", + "it er", + "ĠK ing", + "Ġcount ries", + "ĠG erman", + "ll ing", + "Ġ2 7", + "3 4", + "Ġquest ions", + "Ġpr im", + "Ġc ell", + "Ġsh oot", + "Ġany one", + "ĠW est", + "Ġaff ect", + "ep end", + "Ġon line", + "ĠIs rael", + "ĠSept ember", + "Ġab ility", + "Ġcont ent", + "is es", + "Ġre ve", + "Ġl aun", + "Ġind ic", + "Ġfor ce", + "c ast", + "Ġso ld", + "av ing", + "f l", + "Ġso ft", + "Ġcompan ies", + "ce ed", + "Ġart icle", + "Ġa ud", + "Ġre v", + "Ġed uc", + "Ġplay ing", + "0 5", + "Ġhe ld", + "ct or", + "Ġrele ased", + "Ġf ederal", + "3 7", + "Ġad minist", + "Ġinter view", + "Ġinst all", + "Ġrece ived", + "Ġs ource", + "u k", + "P h", + "Ġser ious", + "Ġcre ated", + "Ġc ause", + "Ġim medi", + "Ġdef in", + "u el", + "ĠDep artment", + "ct ions", + "ĠC our", + "ĠN ow", + "z e", + "it es", + "it ution", + "Ġl ate", + "Ġspe ak", + "n ers", + "Ġleg al", + "ar i", + "ĠC or", + "Ġwe eks", + "Ġmod el", + "Ġp red", + "Ġex act", + "B C", + "ĠB y", + "IN G", + "os ing", + "Ġt akes", + "Ġreg ard", + "Ġopp ortun", + "Ġpr ice", + "Ġ19 8", + "ĠA pr", + "f ully", + "Ġor d", + "Ġproble ms", + "ru ction", + "h am", + "ĠC ount", + "le ge", + "Ġlead ers", + "E T", + "le v", + "Ġde ep", + "olog ical", + "es e", + "h aps", + "ĠS ome", + "Ġp ers", + "Ġcont ract", + "Ġrelations hip", + "s p", + "ou d", + "Ġb ase", + "4 8", + "m it", + "A d", + "anc ial", + "Ġcons um", + "Ġpot ential", + "Ġl angu", + "re m", + "et h", + "Ġrel ig", + "ress ed", + "6 6", + "Ġl ink", + "Ġl ower", + "ay er", + "ĠJ une", + "Ġf em", + "un t", + "er c", + "ur d", + "Ġcont act", + "Ġ ill", + "Ġm other", + "Ġest ab", + "h tt", + "ĠM arch", + "ĠB ro", + "ĠCh ina", + "Ġ2 9", + "Ġs qu", + "Ġprov ided", + "Ġa verage", + "as ons", + "Ġ201 1", + "Ġex am", + "l in", + "5 5", + "n ed", + "Ġper fect", + "Ġt ou", + "al se", + "u x", + "Ġbu y", + "Ġsh ot", + "Ġcol lect", + "Ġph ot", + "Ġplay ed", + "Ġsur pr", + "Ġofficial s", + "Ġsim ple", + "av y", + "Ġindust ry", + "Ġhand s", + "g round", + "Ġp ull", + "Ġr ound", + "Ġus er", + "Ġr ange", + "u ary", + "Ġpriv ate", + "op s", + "e es", + "Ġw ays", + "ĠM ich", + "Ġve h", + "Ġex cept", + "Ġter ms", + "im um", + "pp er", + "I ON", + "ore s", + "ĠDr agon", + "ou l", + "Ġd en", + "Ġperform ance", + "Ġb ill", + "c il", + "4 7", + "Ġen vironment", + "Ġex c", + "ad d", + "Ġwor th", + "Ġp ict", + "Ġch ance", + "Ġ201 8", + "b or", + "Ġspe ed", + "ict ion", + "Ġal leg", + "ĠJ apan", + "at ory", + "re et", + "Ġm atch", + "ĠI I", + "Ġst ru", + "ord er", + "Ġst e", + "Ġl iving", + "Ġst ruct", + "in o", + "Ġse par", + "her n", + "Ġresp onse", + "Ġen joy", + "Ġv ia", + "A D", + "um ents", + "ace book", + "Ġmem ber", + "ib r", + "iz ing", + "Ġto ol", + "ĠM on", + "ĠWh ile", + "h ood", + "ĠA ng", + "ĠD ef", + "Ġoff er", + "T r", + "a ur", + "Ġturn ed", + "ĠJ uly", + "d own", + "an ced", + "Ġrec ently", + "ĠE ar", + "Ġc e", + "ĠSt ar", + "ĠC ong", + "rough t", + "Ġbl ood", + "Ġhop e", + "Ġcom ment", + "ain t", + "Ġar ri", + "il es", + "Ġpartic ip", + "ough t", + "ri ption", + "0 8", + "4 9", + "Ġg ave", + "Ġse lect", + "Ġkill ed", + "sy ch", + "Ġgo es", + "i j", + "Ġc oll", + "Ġimp act", + "at ives", + "ĠS er", + "0 9", + "ĠAug ust", + "Ġb oy", + "d e", + "ĠD es", + "Ġf elt", + "U S", + "Ġexpect ed", + "Ġim age", + "ĠM ark", + "cc ording", + "o ice", + "E C", + "ĠM ag", + "en ed", + "h old", + "ĠP ost", + "Ġpre vent", + "N o", + "Ġinvol ved", + "Ġey es", + "Ġquick ly", + "A t", + "un k", + "Ġbeh av", + "Ġ ur", + "Ġl ed", + "c ome", + "e y", + "Ġcand id", + "Ġear lier", + "Ġfoc us", + "et y", + "P ro", + "led ge", + "ix ed", + "ill ed", + "Ġpop ular", + "A P", + "Ġset t", + "l ight", + "Ġvar ious", + "in ks", + "Ġlevel s", + "Ġro ad", + "ell ig", + "ab les", + "he l", + "itte e", + "ĠG ener", + "y pe", + "Ġhe ard", + "ic les", + "Ġm is", + "Ġus ers", + "ĠS an", + "Ġimpro ve", + "Ġf ather", + "Ġse arch", + "The y", + "v il", + "Ġprof ess", + "Ġkn ew", + "Ġl oss", + "Ġev ents", + "6 5", + "Ġb illion", + "0 7", + "0 2", + "ĠNew s", + "ĠA M", + "Ġco ver", + "w here", + "ens ion", + "Ġb ott", + "Ġare as", + "en ces", + "op e", + "ĠTw itter", + "a el", + "Ġget s", + "ĠGo ogle", + "Ġs n", + "i ant", + "Ġv ote", + "Ġnear ly", + "Ġinclud ed", + "Ġrec ogn", + "z z", + "m m", + "al ed", + "Ġhappen ed", + "0 4", + "Ġh ot", + "Ġwho se", + "Ġc ivil", + "Ġsu ff", + "o es", + "it iz", + "ĠSy ri", + "Ġresp ond", + "Ġh on", + "Ġfeat ures", + "Ġeconom ic", + "ĠApr il", + "r im", + "Ġtechn ology", + "Ġo ption", + "ag ing", + "Ġpur ch", + "R e", + "Ġl at", + "ch ie", + "is l", + "Ġrec omm", + "u f", + "Ġtr aining", + "Ġeffect s", + "Ġf ast", + "Ġ201 0", + "Ġocc ur", + "Ġwebs ite", + "Ġem ail", + "Ġs ens", + "e ch", + "Ġo il", + "Ġinf lu", + "Ġcurrent ly", + "ĠS ch", + "ĠAd d", + "Ġgo al", + "Ġsc ient", + "Ġcon v", + "1 00", + "em y", + "Ġdec ided", + "Ġtra vel", + "Ġm ention", + "L L", + "0 3", + "Ġe lection", + "Ġph one", + "Ġlook s", + "Ġsit uation", + "Ġc y", + "Ġh or", + "b ed", + "ĠCour t", + "a ily", + "av es", + "Ġqu ality", + "ĠCom p", + "w ise", + "Ġt able", + "Ġst aff", + "ĠW ind", + "et t", + "Ġtri ed", + "ide red", + "Ġadd ition", + "Ġb ox", + "Ġl ack", + "ar ily", + "Ġw ide", + "Ġm id", + "Ġbo ard", + "ys is", + "Ġant i", + "h a", + "Ġd ig", + "en ing", + "Ġd ro", + "C on", + "6 8", + "Ġsl ow", + "b ased", + "se qu", + "Ġp ath", + "E x", + "ak er", + "Ġwork ed", + "Ġp en", + "Ġeng ine", + "Ġlook ed", + "ĠSu per", + "ĠS erv", + "Ġvict im", + "U n", + "Ġproper ty", + "Ġint rodu", + "Ġexec ut", + "ĠP M", + "L e", + "Ġcol or", + "ĠM ore", + "Ġ6 0", + "Ġnet work", + "Ġd ate", + "c ul", + "id ge", + "Ġext ra", + "3 1", + "Ġs le", + "6 7", + "Ġw ond", + "Ġreport s", + "j ust", + "ĠAust ral", + "Ġcap ital", + "Ġen s", + "Ġcomm and", + "Ġallow ed", + "Ġpre p", + "Ġca pt", + "h ib", + "Ġnum bers", + "ch an", + "Ġf air", + "m p", + "om s", + "Ġre ach", + "W ith", + "t ain", + "Ġbro ad", + "Ġcou ple", + "ec ause", + "ly ing", + "ĠF eb", + "Ġsc reen", + "Ġl ives", + "Ġpri or", + "ĠCong ress", + "A r", + "Ġappro ach", + "Ġe mer", + "ar ies", + "ĠD is", + "s erv", + "ĠN e", + "Ġbu ilt", + "c ies", + "Ġre pe", + "Ġrul es", + "for ce", + "ĠP al", + "Ġfin ancial", + "Ġcons idered", + "ĠCh ar", + "n ces", + "ĠI S", + "Ġb rought", + "Ġb i", + "i ers", + "ĠS im", + "O P", + "Ġproduct s", + "Ġvis it", + "Ġdoc ument", + "Ġcon duct", + "Ġcomplete ly", + "in ing", + "ĠCal if", + "ib ly", + "Ġwr itten", + "ĠT V", + "em ents", + "Ġd raw", + "O ne", + "Ġpub lished", + "Ġsec ret", + "r ain", + "he t", + "ĠF acebook", + "ond ay", + "ĠU p", + "Ġsex ual", + "Ġth ous", + "ĠP at", + "Ġ ess", + "Ġstand ard", + "Ġar m", + "g es", + "ect ion", + "Ġf ell", + "Ġfore ign", + "an i", + "ĠFr iday", + "Ġreg ular", + "in ary", + "Ġincre ased", + "Ġus ually", + "Ġdem on", + "Ġd ark", + "Ġadd itional", + "ro l", + "ĠO f", + "Ġprodu ction", + "! !", + "und red", + "Ġintern ational", + "id ents", + "ĠF ree", + "rou p", + "Ġr ace", + "Ġm ach", + "Ġh uge", + "A ll", + "le ar", + "ove mber", + "Ġto wn", + "Ġatt ention", + "ĠO ff", + "y ond", + "ĠThe n", + "f ield", + "Ġter ror", + "ra z", + "ĠB o", + "Ġmeet ing", + "ĠP ark", + "Ġar rest", + "Ġf ear", + "Ġa w", + "ĠV al", + "or ing", + "' ,", + "Ġext reme", + "ar r", + "Ġwork ers", + "A fter", + "Ġ3 1", + "n et", + "am ent", + "Ġdirect ly", + "Ġpop ulation", + "ub e", + "ĠOct ober", + "ĠI N", + "ĠJan uary", + "5 9", + "ĠDav id", + "Ġc ross", + "ce mber", + "ĠF irst", + "Ġmess age", + "ir it", + "Ġn ation", + "Ġp oll", + "is ions", + "Ġansw er", + "n y", + "is ode", + "Ġcar ry", + "ĠRuss ia", + "Ġhe ar", + "eng th", + "ro y", + "Ġn atural", + "in ally", + "Ġdo g", + "m itted", + "Ġtr ade", + "Ġsub st", + "Ġmult iple", + "ĠAf ric", + "Ġf ans", + "Ġs ort", + "Ġgl obal", + "ic ation", + "ĠW ed", + "ar a", + "Ġa chie", + "Ġlangu age", + "ve y", + "Ġt al", + "Ġnecess ary", + "Ġdet ails", + "Ġs en", + "ĠS und", + "ĠRe g", + "ĠR ec", + "0 6", + "Ġs il", + "ress ive", + "Ġmed ical", + "un ch", + "orn ia", + "Ġu nd", + "f ort", + "oc ks", + "ĠM onday", + "ues day", + "c raft", + "7 7", + "ur t", + "Ġ ver", + "ĠH ill", + "Ġrece ive", + "Ġmor ning", + "es tern", + "Ġb ank", + "Ġs at", + "ir th", + "ĠH igh", + "Ġdev ice", + "ĠTH E", + "ĠCent er", + "Ġsaf e", + "Ġp le", + "ĠCanad a", + "Ġsystem s", + "Ġass ist", + "Ġsur v", + "Ġb attle", + "ĠS oc", + "vert is", + "S he", + "Ġp aper", + "Ġgrow th", + "Ġc ast", + "S c", + "Ġpl ans", + "ll ed", + "Ġpart s", + "Ġw all", + "Ġmove ment", + "Ġpract ice", + "im ately", + "Ġdis play", + "Ġsomet imes", + "om p", + "ĠP aul", + "ĠY es", + "k ing", + "5 8", + "o ly", + "Ġs on", + "Ġav oid", + "ok es", + "ĠJ ew", + "Ġto wards", + "as c", + "Ġ //", + "ĠK ore", + "Ġtalk ing", + "Ġcor rect", + "Ġsp ent", + "ic ks", + "i able", + "e ared", + "Ġter m", + "Ġwant s", + "om ing", + "Ġ ut", + "Ġdou b", + "Ġfor ces", + "Ġp lease", + "6 9", + "ĠN ovember", + "at form", + "ond on", + "Ġon es", + "Ġimmedi ately", + "ĠRuss ian", + "ĠM et", + "Ġde g", + "Ġparent s", + "C H", + "ĠAmeric ans", + "al y", + "ĠM od", + "Ġsh own", + "Ġcond itions", + "Ġst uff", + "Ġre b", + "ĠY our", + "Ġinclud es", + "n own", + "ĠS am", + "Ġexper ien", + "m ission", + "ĠE ven", + "augh t", + "Ġannoun ced", + "ĠRepublic an", + "Ġdeter min", + "Ġdescrib ed", + "ĠCount y", + "( )", + "Ġdo or", + "Ġchang ed", + "Ġne igh", + "ĠH ere", + "Ġcle an", + "Ġp an", + "ĠDe cember", + "ĠEurope an", + "ir ing", + "ap ter", + "Ġcl ub", + "ĠT uesday", + "Ġp aid", + "ĠN et", + "Ġattack s", + "Ġcharact ers", + "Ġal one", + "Ġdirect or", + "d om", + "Ġ3 5", + "Ġl oad", + "Ġr out", + "ĠCalif ornia", + "Ġfin ally", + "Ġr ac", + "Ġcont r", + "Ġexact ly", + "res h", + "p ri", + "ĠIs lam", + "Ġn ature", + "Ġcare er", + "Ġlat est", + "Ġcon vers", + "ĠS l", + "p ose", + "ci ent", + "ĠIn c", + "iv ity", + "8 8", + "ĠA tt", + "ĠM or", + "nes day", + "Ġwe ight", + "k en", + "Ġnot e", + "Ġteam s", + "Ġ \\", + "air s", + "ĠG reen", + "Ġh undred", + "on ent", + "Ġstre ng", + "Ġcons ist", + "ic ated", + "Ġreg ul", + "Ġl ic", + "ast ic", + "Ġt en", + "urs day", + "ellig ence", + "ous ly", + "ĠU K", + "B I", + "Ġcost s", + "Ġind epend", + "ĠA P", + "Ġnorm al", + "Ġh om", + "Ġob vious", + "Ġs we", + "Ġst ar", + "Ġread y", + "ac her", + "Ġimp lement", + "g est", + "Ġs ong", + "ĠG et", + "ĠL ab", + "Ġinterest ing", + "us ing", + "Ġg iving", + "ĠSund ay", + "Ġet c", + "Ġm iddle", + "Ġrem ember", + "r ight", + "os ition", + "ut ions", + "Ġm ax", + "4 6", + "Ġyour self", + "Ġdem and", + "Ġtreat ment", + "Ġd anger", + "ĠC ons", + "Ġgu y", + "ĠBrit ish", + "Ġphys ical", + "Ġrel ated", + "Ġrem ain", + "Ġcould n", + "Ġref er", + "Ġc itiz", + "b ox", + "EN T", + "bo ard", + "Ġin n", + "I G", + "er o", + "ĠSt reet", + "osp ital", + "ren ch", + "cher s", + "Ġst ra", + "O L", + "ag er", + "ĠA N", + "Ġeas ily", + "I A", + "en ge", + "in y", + "Ġcl os", + "ock ed", + "Ġus es", + "ĠC oun", + "I m", + "u ild", + "? ?", + "m ore", + "Ġan g", + "Ġwr ite", + "ol ute", + "5 7", + "Ġlead er", + "Ġread ing", + "< /", + "Ġaut om", + "est s", + "4 3", + "Ġleg isl", + "ĠG old", + "Ġdesign ed", + "ĠS T", + "ĠLe g", + "a res", + "Ġbe aut", + "ĠT ex", + "Ġappear s", + "Ġstru gg", + "ĠR om", + "Ġ 00", + "Ġcho ice", + "Ġparticular ly", + "ĠF rom", + "op er", + "ĠL ondon", + "ann ed", + "Ġallow s", + "ob ile", + "Ġdiffere nce", + "âĢ ¢", + "ĠV iew", + "ĠWed nesday", + "Ġal though", + "Ġrel ative", + "Ġapplic ation", + "ate ver", + "Ġare n", + "Ġmy self", + "Ġim ag", + "Ġdis e", + "Ġsoc iety", + "Ġfre qu", + "ĠEng lish", + "Ġpo or", + "ĠD ay", + "Ġwrit ing", + "Ġse ven", + "Ġstart ing", + "Ġb ud", + "Ġpr int", + "ĠTr ans", + "uf act", + "ĠSt ud", + "n ew", + "Ġcr im", + "Ġg ives", + "Ġco ol", + "a e", + "i ance", + "ĠGener al", + "Ġthink ing", + "Ġsa ve", + "Ġlim ited", + "ĠPart y", + "Ġmean ing", + "p en", + "ow ers", + "ĠJ ack", + "E M", + "Ġn ice", + "ru pt", + "Ġg as", + "Ġe ight", + "Ġfe et", + "Ġeff ort", + "Ġ ign", + "ic it", + "B l", + "co in", + "Ġop in", + "Ġbr ain", + "Wh ile", + "he st", + "ĠTh ursday", + "Ġwould n", + "augh ter", + "Ġtou ch", + "le ments", + "Ġstud ies", + "Ġcent er", + "c ont", + "or ge", + "Ġcomput er", + "Ġinvestig ation", + "P l", + "or ks", + "Ġ200 8", + "Ġincre asing", + "Ġst ore", + "Ġcom ments", + "Ġb al", + "m en", + "Ġdo ll", + "Ġl iber", + "Ġw ife", + "Ġlaw s", + "atur day", + "it ness", + "Ġmod ern", + "ĠS k", + "Ġadminist ration", + "Ġopportun ity", + "Ġs al", + "Ġpower ful", + "M y", + "Ġclaim s", + "ĠEar th", + "ord s", + "Ġt itle", + "Ġes c", + "n ame", + "N ot", + "om en", + "Ġbe yond", + "Ġc amer", + "Ġse ll", + "it ute", + "ear ch", + "Ġapp l", + "im ent", + "4 2", + "ĠAr t", + "Ġun f", + "Ġviol ence", + "ur g", + "ĠE ast", + "Ġcomp ared", + "Ġopt ions", + "Ġthrough out", + "Ġv s", + "ig r", + ". [", + "ac hes", + "7 8", + "Ġfil es", + "F L", + "E L", + "ar ian", + "ĠJ ames", + "ĠA ir", + "an ch", + "Ġdet ail", + "Ġpie ce", + "P S", + "Ġn amed", + "Ġeduc ation", + "Ġdri ve", + "Ġitem s", + "Ġstud ent", + "ic ed", + ": :", + "ic o", + "Ġth row", + "Ġsc ene", + "Ġcomple x", + "Ġ200 9", + "Ġpre c", + "ĠB re", + "7 9", + "Ġcon cept", + "Ġstat us", + "am ing", + "Ġd ied", + "Ġknow ledge", + "Ġbegin ning", + "O D", + "ru ary", + "Ġcertain ly", + "Ġgu ys", + "Ġsl ight", + "in n", + "ound s", + "Ġf ine", + "Ġf at", + "ic ations", + "Ġper haps", + "ĠA nt", + "Ġinc ome", + "Ġhtt ps", + "Ġmajor ity", + "port s", + "st on", + "Ġgreat er", + "Ġfe ed", + "ent ially", + "Ġsaf ety", + "Ġun ique", + "and om", + "Ġg one", + "Ġshow ed", + "Ġhist or", + "Ġcoun ter", + "i us", + "id a", + "Ġlead ing", + "i pe", + "Ġs end", + "ĠDon ald", + "er ve", + "Ġdef ense", + "ines e", + "Ġy es", + "ĠF ire", + "ĠMus lim", + "ra q", + "Ġcontin ued", + "os h", + "Ġprov ides", + "Ġpr ison", + "ĠP re", + "Ġhapp y", + "Ġeconom y", + "Ġtr ust", + "ag s", + "ĠG ame", + "Ġweap ons", + "um an", + "ĠC le", + "it ation", + "Ġanal ysis", + "ĠT imes", + "Ġsc ience", + "- >", + "Ġfig ure", + "Ġdis app", + "ent y", + "Ġsoft ware", + "Ġu lt", + "Ġoffic ers", + "N ew", + "I s", + "Ġrem ains", + "ĠInd ia", + "Ġp sych", + "ri ef", + "Ġc at", + "es c", + "Ġob serv", + "Ġst age", + "ĠD ark", + "Ġent er", + "ch ange", + "Ġpass ed", + "Ġdes pite", + "ĠO ut", + "Ġmov ie", + "r s", + "Ġv oice", + "m ine", + "ĠPl ay", + "Ġto ward", + "ĠT er", + "Ġreg ion", + "Ġval ues", + "or ters", + "Ġm ount", + "Ġoffic er", + "ĠO ther", + "b an", + "Ġh ous", + "w ood", + "ro om", + "I V", + "ĠS un", + "se e", + "ĠO ver", + "ro g", + "9 0", + "Ġl ay", + "ĠT ur", + "a wn", + "Ġpress ure", + "ĠS ub", + "Ġbook s", + "ed om", + "ĠS and", + "A A", + "ag o", + "Ġre asons", + "f ord", + "Ġactiv ity", + "U T", + "N ow", + "ĠSen ate", + "ce ll", + "n ight", + "Ġcall s", + "in ter", + "Ġlet ter", + "ĠR ob", + "ĠJ e", + "Ġcho ose", + "ĠL aw", + "G et", + "B e", + "Ġro b", + "Ġtyp es", + "Ġpl atform", + "Ġqu arter", + "R A", + "ĠT ime", + "Ġmay be", + "ĠC r", + "9 5", + "p re", + "Ġmov ing", + "Ġl if", + "Ġgo ld", + "Ġs om", + "Ġpat ients", + "Ġtr uth", + "ĠK e", + "ur ance", + "ant ly", + "m ar", + "Ġchar ge", + "ĠG reat", + "Ġce le", + "---------------- ----------------", + "Ġro ck", + "ro id", + "an cy", + "Ġcred it", + "a ud", + "B y", + "ĠE very", + "Ġmov ed", + "ing er", + "rib ution", + "Ġn ames", + "Ġstra ight", + "ĠHe alth", + "ĠW ell", + "Ġfe ature", + "Ġr ule", + "Ġsc he", + "in ated", + "ĠMich ael", + "ber g", + "4 1", + "il ed", + "b and", + "Ġcl ick", + "ĠAng el", + "on ents", + " Ń", + "ĠI raq", + "ĠS aturday", + "Ġa ware", + "p art", + "Ġpat tern", + "O W", + "ĠL et", + "Ġgr ad", + "ign ed", + "Ġassoci ated", + "Ġst yle", + "n o", + "i ation", + "a ith", + "il ies", + "Ġst ories", + "ur ation", + "Ġindividual s", + "ĠâĢ ¦", + "m iss", + "ĠAss oci", + "ish ing", + "ab y", + "Ġsum mer", + "ĠB en", + "Ġ3 2", + "Ġar ch", + "ut y", + "ĠTex as", + "h ol", + "Ġfull y", + "Ġm ill", + "Ġfollow ed", + "ĠB ill", + "ĠInd ian", + "ĠSec ret", + "ĠB el", + "ĠFeb ruary", + "Ġjob s", + "Ġseem ed", + "ĠGo vern", + "i pped", + "Ġreal ity", + "Ġl ines", + "Ġp ark", + "Ġmeas ure", + "ĠO ur", + "I M", + "Ġbro ther", + "Ġgrow ing", + "Ġb an", + "Ġest im", + "Ġc ry", + "ĠS chool", + "Ġme chan", + "ĠO F", + "ĠWind ows", + "Ġr ates", + "ĠO h", + "Ġpos itive", + "Ġcult ure", + "ist ics", + "ic a", + "Ġh ar", + "y a", + "ite ly", + "i pp", + "Ġm ap", + "en cies", + "ĠWill iam", + "I I", + "ak ers", + "5 6", + "ĠM art", + "ĠR em", + "Ġal tern", + "it ude", + "Ġco ach", + "row d", + "D on", + "Ġk ids", + "Ġj ournal", + "Ġcor por", + "Ġf alse", + "Ġwe b", + "Ġsle ep", + "Ġcont ain", + "Ġst o", + "Ġb ed", + "iver se", + "ĠR ich", + "ĠCh inese", + "Ġp un", + "Ġme ant", + "k nown", + "Ġnot ice", + "Ġfavor ite", + "a ven", + "Ġcond ition", + "Ġpur pose", + ") )", + "Ġorgan ization", + "Ġchall eng", + "Ġman ufact", + "Ġsus p", + "ĠA c", + "Ġcrit ic", + "un es", + "uc lear", + "Ġm er", + "vent ion", + "Ġ8 0", + "Ġm ist", + "ĠU s", + "ĠT or", + "htt p", + "ol f", + "Ġlarg er", + "Ġadv ant", + "Ġrese ar", + "Ġact ions", + "m l", + "Ġke pt", + "Ġa im", + ", '", + "c ol", + "Ġbenef its", + "if ying", + "Ġact ual", + "ĠIntern ational", + "Ġveh icle", + "Ġch ief", + "Ġeff orts", + "ĠLe ague", + "ĠM ost", + "Ġwa it", + "Ġad ult", + "Ġover all", + "Ġspe ech", + "Ġhigh ly", + "Ġfem ale", + "Ġer ror", + "Ġeffect ive", + "5 4", + "Ġenc our", + "w ell", + "Ġfail ed", + "Ġcons erv", + "Ġprogram s", + "Ġt rou", + "Ġa head", + "5 00", + "vertis ement", + "I P", + "ĠF ound", + "p ir", + "Ġ %", + "Ġcr ime", + "and er", + "Ġloc ation", + "ĠI ran", + "Ġbehav ior", + "az ing", + "Ġr are", + "Ġem b", + "Ġca used", + "Ġsh ip", + "Ġact ive", + "Ġcont ribut", + "Ġg reen", + "Ġac qu", + "Ġref lect", + "ven ue", + "Ġf irm", + "Ġb irth", + "] .", + "Ġclear ly", + "Ġem ot", + "Ġag ency", + "ri age", + "Ġmem ory", + "9 8", + "S A", + "ĠSe e", + "ac ing", + "C C", + "Ġbig gest", + "Ġr ap", + "Ġbas ic", + "Ġb and", + "e at", + "Ġsus pect", + "ĠM ac", + "Ġ9 0", + "m ark", + "ist an", + "Ġsp read", + "am s", + "k i", + "as y", + "ra v", + "ĠR ober", + "Ġdemon str", + "r ated", + "Ġabs olute", + "Ġpl aces", + "Ġim pl", + "ibr ary", + "Ġc ards", + "Ġdest roy", + "Ġv irt", + "ve re", + "Ġapp eared", + "y an", + "p oint", + "Ġbe g", + "Ġtem per", + "s pe", + "ant ed", + "ear s", + "ĠD irect", + "Ġl ength", + "Ġbl og", + "am b", + "Ġint eg", + "Ġres ources", + "ac c", + "if ul", + "Ġsp ot", + "Ġfor ced", + "Ġthous ands", + "ĠMin ister", + "Ġqu al", + "ĠF rench", + "at ically", + "Ġgener ally", + "Ġdr ink", + "Ġth us", + "I L", + "od es", + "Ġappro pri", + "ĠRe ad", + "Ġwh om", + "Ġey e", + "Ġcol lege", + "Ġ4 5", + "ire ction", + "Ġens ure", + "Ġapp arent", + "id ers", + "Ġrelig ious", + "Ġmin or", + "ol ic", + "Ġt ro", + "ĠWh y", + "rib ute", + "m et", + "Ġprim ary", + "Ġdevelop ed", + "Ġpe ace", + "Ġsk in", + "st e", + "av a", + "Ġbl ue", + "Ġfam ilies", + "Ġ ir", + "Ġapp ly", + "Ġin form", + "ĠSm ith", + "C T", + "i i", + "Ġlim it", + "Ġres ist", + "........ ........", + "um n", + "Ġconf lic", + "Ġtw e", + "ud d", + "ĠT om", + "Ġl iter", + "qu e", + "b on", + "Ġha ir", + "Ġevent ually", + "Ġp us", + "Ġhelp ed", + "Ġag g", + "or ney", + "ĠApp le", + "Ġf it", + "ĠS ur", + "Ġpre m", + "Ġs ales", + "Ġsecond s", + "Ġstreng th", + "Ġfeel ing", + "¿ ½", + "Ġt our", + "Ġknow s", + "o om", + "Ġex erc", + "Ġsom ew", + "ï ¿½", + "> >", + "Ġsp okes", + "Ġide as", + "Ġreg ist", + "so ft", + "ĠD el", + "ĠP C", + "Ġpro pos", + "Ġlaun ch", + "Ġbott om", + "T H", + "ĠP lease", + "v est", + "it z", + "ĠIn ter", + "Ġsc ript", + "Ġr at", + "ar ning", + "Ġ il", + "ĠJ er", + "ĠA re", + "Ġwh atever", + "ok en", + "ci ence", + "Ġmod e", + "Ġag ree", + "Ġs ources", + "Ġinit ial", + "Ġrest rict", + "Ġwond er", + "us ion", + "## ##", + "ĠS il", + "vil le", + "Ġb urn", + "t w", + "as ion", + "Ġ £", + "Ġn or", + "u ing", + "Ġre ached", + "Ġs un", + "Ġc ateg", + "ig ration", + "Ġc ook", + "Ġprom ot", + "Ġm ale", + "Ġcl imate", + "Ġf ix", + "Ġalleg ed", + "U R", + "all ed", + "Ġim ages", + "C ont", + "ot a", + "Ġschool s", + "i os", + "Ġd rop", + "Ġst ream", + "ĠM o", + "Ġprevious ly", + "al ing", + "Ġp et", + "Ġdou ble", + "Ġ( @", + "ann el", + "Ġdef ault", + "t ies", + "Ġr ank", + "ĠD ec", + "ĠCoun cil", + "Ġweap on", + "Ġst ock", + "Ġanal y", + "ĠSt r", + "Ġpict ure", + "ĠPol ice", + "f erence", + "Ġcent ury", + "Ġcitiz ens", + "Ġon to", + "Ġexp and", + "Ġhe ro", + "ĠS ol", + "Ġw ild", + "Ġupd ate", + "Ġcustom ers", + "r ont", + "d ef", + "Ġl ik", + "Ġcrim inal", + "ĠChrist ian", + "S P", + "7 6", + "Ġle aving", + "Ġother wise", + "ĠD ist", + "Ġbas is", + "5 2", + "5 3", + "ic ip", + "ĠB er", + "Ġrecomm end", + "Ġfl oor", + "Ġc rowd", + "ol es", + "Ġ7 0", + "Ġcent ral", + "ĠE v", + "Ġd ream", + "Ġdown load", + "Ġconf ir", + "ĠTh om", + "Ġwind ow", + "Ġhapp ens", + "Ġun it", + "Ġt end", + "Ġs pl", + "Ġbec omes", + "Ġfight ing", + "Ġpred ict", + "ĠP ress", + "ĠP ower", + "Ġhe avy", + "ak ed", + "Ġf an", + "or ter", + "ate gy", + "B A", + "iz es", + "Ġsp end", + "H ere", + "Ġ200 7", + "Ġad op", + "ĠH am", + "Ġfoot ball", + "ĠP ort", + "od ay", + "5 1", + "amp ions", + "Ġtrans fer", + "h t", + "Ġ3 8", + "ter m", + "ac ity", + "Ġb ur", + "] ,", + "tern al", + "r ig", + "b ut", + "Ġthere fore", + "ĠB ecause", + "res p", + "re y", + "Ġm ission", + "S ome", + "Ġnot ed", + "Ġass um", + "Ġdise ase", + "Ġed it", + "Ġprog ress", + "r d", + "ĠB rown", + "oc al", + "Ġadd ing", + "Ġra ised", + "ĠAn y", + "Ġt ick", + "Ġsee ing", + "ĠPe ople", + "Ġagre ement", + "Ġser ver", + "Ġw at", + "Ġdeb ate", + "Ġsupp osed", + "il ing", + "Ġlarg est", + "Ġsuccess ful", + "ĠP ri", + "ĠDemocr atic", + "Ġj ump", + "ĠSyri a", + "Ġown ers", + "Ġoff ers", + "Ġshoot ing", + "Ġeff ic", + "se y", + "Ġha ven", + "ver se", + "te red", + "ĠL ight", + "im al", + "ĠB ig", + "Ġdef end", + "Ġbe at", + "Ġrecord s", + "% )", + "Ġsc en", + "Ġemploy ees", + "Ġdev ices", + "he m", + "Ġcom mer", + "ĠM ex", + "Ġbenef it", + "ĠPro f", + "Ġil leg", + "Ġsur face", + "ĠAl so", + "Ġh arm", + "ing ly", + "w ide", + "ĠA lex", + "Ġsh ut", + "ĠC ur", + "Ġl ose", + "p m", + "Ġchall enge", + "se mb", + "Ġst ation", + "Ġint elligence", + "Ġacc ur", + "ĠFl or", + "Ġrequ ires", + "ĠM al", + "b um", + "Ġh ospital", + "Ġsp irit", + "Ġoff ered", + "Ġprodu ce", + "ĠComm un", + "Ġcreat ing", + "Ġcr is", + "s pect", + "Ġend ed", + "Ġd aily", + "Ġvot ers", + "land s", + "i as", + "i h", + "on a", + "Ġsm art", + "ĠOff ice", + "ĠL ord", + "ri al", + "ĠIntern et", + "Ġcirc um", + "Ġextreme ly", + "' .", + "Ġopin ion", + "ĠM il", + "Ġg ain", + "B S", + "ĠF in", + "y p", + "Ġuse ful", + "Ġbud get", + "Ġcom fort", + "is f", + "Ġback ground", + "el ine", + "Ġep isode", + "Ġen emy", + "Ġtri al", + "Ġestab lish", + "d ate", + "ĠC ap", + "Ġcontin ues", + "Ġshow ing", + "ĠUn ion", + "w ith", + "Ġpost ed", + "ĠSy stem", + "Ġe at", + "ri an", + "Ġr ise", + "ĠGerman y", + "il s", + "Ġsign ed", + "Ġv ill", + "Ġgr and", + "m or", + "ĠEng land", + "Ġproject s", + "um ber", + "Ġconf erence", + "z a", + "Ġrespons ible", + "ĠAr ab", + "Ġlearn ed", + "âĢĶ âĢĶ", + "i pping", + "ĠGe orge", + "O C", + "Ġreturn ed", + "ĠAustral ia", + "Ġb rief", + "Q u", + "Ġbr and", + "ill ing", + "ab led", + "Ġhig hest", + "Ġtr ain", + "ĠComm ission", + "wh ile", + "Ġn om", + "cept ion", + "Ġm ut", + "ĠBl ue", + "Ġinc ident", + "v ant", + "8 6", + "ĠI D", + "Ġn uclear", + "7 4", + "ĠL ike", + "ĠR E", + "ĠM icro", + "l i", + "m ail", + "Ġcharg es", + "8 9", + "Ġad just", + "ad o", + "Ġear th", + "N A", + "Ġpr ices", + "P A", + "Ġd raft", + "Ġrun s", + "Ġcandid ate", + "ens es", + "Ġmanag ement", + "ĠPh il", + "ĠM iss", + "Ġte ach", + "g ram", + "Ġunderstand ing", + "a it", + "ic ago", + "A dd", + "ĠE p", + "sec ut", + "Ġsepar ate", + "Ġinst ance", + "Ġe th", + "Ġun less", + "**** ****", + "ĠF ore", + "in ate", + "Ġoper ations", + "S p", + "Ġf aith", + "g ar", + "ĠCh urch", + "ron ic", + "Ġconf ig", + "os ure", + "Ġactiv ities", + "Ġtrad itional", + "Ġ3 6", + "Ġd irection", + "Ġmach ine", + "Ġsur round", + "Ġp ush", + "un ction", + "ĠE U", + "Ġeas ier", + "Ġarg ument", + "G B", + "Ġm icro", + "Ġsp ending", + "iz ations", + "Ġthe ory", + "ad ow", + "Ġcall ing", + "ĠL ast", + "Ġd er", + "Ġinflu ence", + "Ġcomm it", + "Ġph oto", + "Ġun c", + "ist ry", + "g n", + "ast e", + "ack s", + "Ġdis p", + "ad y", + "d o", + "ĠG ood", + "Ġ `", + "Ġw ish", + "Ġreve aled", + "Âł Âł", + "l ig", + "Ġen force", + "ĠComm ittee", + "Ġche m", + "Ġmil es", + "Ġinterest ed", + "Ġsol ution", + "ic y", + "in ct", + "Ġ- >", + "ĠD et", + "Ġrem oved", + "Ġcomp ar", + "e ah", + "Ġpl ant", + "ĠS ince", + "Ġachie ve", + "Ġadvant age", + "Ġslight ly", + "b ing", + "Ġpl aced", + "u nder", + "201 5", + "ĠM ad", + "Ġt im", + "os es", + "Ġc ru", + "ĠR ock", + "Ġmost ly", + "Ġneg ative", + "Ġset ting", + "Ġprodu ced", + "Ġm ur", + "Ġconnect ion", + "ĠM er", + "Ġdri ver", + "Ġexecut ive", + "Ġass ault", + "Ġb orn", + "ĠV er", + "t ained", + "Ġstruct ure", + "Ġredu ce", + "Ġdec ades", + "Ġd ed", + "u ke", + "ĠM any", + "idd en", + "Ġle ague", + "S e", + "Ġjo in", + "Ġdis co", + "Ġd ie", + "c ks", + "act ions", + "Ġass ess", + "ag n", + "Ġgo als", + "our s", + "I R", + "Ġsen ior", + "ill er", + "m od", + "ip ment", + "oc ol", + "u y", + "ĠQ ue", + "Ġpart ies", + "ir gin", + "Ġle arning", + "it able", + "Ġstre et", + "Ġcamer a", + "A pp", + "Ġsk ills", + "b re", + "c ious", + "Ġcele br", + "ĠFr anc", + "Ġexist ing", + "Ġwill ing", + "l or", + "Ġ id", + "ĠSp ace", + "Ġcrit ical", + "ĠL a", + "ortun ately", + "Ġser ve", + "Ġc old", + "Ġspec ies", + "T S", + "Ġanim als", + "ĠB ay", + "Ġold er", + "ĠU nder", + "est ic", + "ĠT re", + "Ġte acher", + "Ġpre fer", + "v is", + "Ġth read", + "ĠM att", + "Ġmanag er", + "ãĥ »", + "Ġprofess ional", + "ĠV ol", + "Ġnot es", + "The se", + "ul a", + "Ġf resh", + "ent ed", + "u zz", + "ed y", + "clus ion", + "ĠR el", + "Ġdoub t", + "E O", + "Ġopen ed", + "ĠB it", + "Ad vertisement", + "Ġgu ess", + "ĠU N", + "Ġse qu", + "Ġexpl ain", + "ott en", + "Ġatt ract", + "ak s", + "Ġstr ing", + "Ġcont ext", + "oss ible", + "ĠRepublic ans", + "Ġsol id", + "Ġc ities", + "Ġask ing", + "Ġr andom", + "u ps", + "ur ies", + "ar ant", + "dd en", + "g l", + "ĠFlor ida", + "Ġdep end", + "ĠSc ott", + "Ġ3 3", + "Ġi T", + "ic on", + "Ġmention ed", + "Ġ2 000", + "Ġclaim ed", + "Ġdefin itely", + "ul f", + "Ġc ore", + "Ġopen ing", + "ĠCon st", + "wh ich", + "ĠT ra", + "A G", + "7 2", + "Ġbelie ved", + "ad a", + "Ġ4 8", + "ĠSec urity", + "yr ight", + "ĠP et", + "ĠL ou", + "Ġhold ing", + "======== ========", + "Ġ ice", + "Ġb row", + "Ġauthor ities", + "h ost", + "w ord", + "Ġsc ore", + "ĠD iv", + "Ġcell s", + "Ġtrans l", + "Ġneigh bor", + "Ġrem ove", + "u ct", + "Ġdist rict", + "ĠA ccording", + "Ġwor se", + "Ġconcern s", + "Ġpresident ial", + "Ġpolic ies", + "ĠH all", + "7 3", + "Ġh us", + "A Y", + "Ġ200 6", + "ĠJ ud", + "Ġindepend ent", + "ĠJust ice", + "ili ar", + "pr int", + "igh ter", + "Ġprotect ion", + "z en", + "Ġsu dden", + "h ouse", + "ĠJ es", + "P R", + "ĠIn f", + "Ġb ul", + "Ġ _", + "ĠServ ice", + "ĠP R", + "Ġstr ategy", + "ff ect", + "Ġgirl s", + "Ġmiss ing", + "oy al", + "ĠTe am", + "ul ated", + "Ġd at", + "Ġpolit ics", + "ab or", + "A ccording", + "Ġspe ll", + "Ġg raph", + "ort hern", + "T C", + "A b", + "Ġlab or", + "is her", + "Ġk ick", + "ĠiT unes", + "Ġstep s", + "pos es", + "Ġsmall er", + "E n", + "ber t", + "Ġro ll", + "Ġresear chers", + "Ġcl osed", + "Ġtrans port", + "Ġlaw y", + "________ ________", + "ĠCh icago", + "Ġas pect", + "Ġn one", + "Ġmar riage", + "9 6", + "Ġe lements", + "ĠF re", + "ĠS al", + "Ġd ram", + "F C", + "t op", + "e qu", + "Ġhe aring", + "Ġsupport ed", + "Ġtest ing", + "co hol", + "Ġmass ive", + "Ġst ick", + "Ġgu ard", + "is co", + "ph one", + "F rom", + "How ever", + "Ġb order", + "Ġcop y", + "ograph y", + "l ist", + "7 1", + "Ġown er", + "cl ass", + "ru it", + "r ate", + "ĠO nce", + "Ġdig ital", + "Ġt ask", + "ER S", + "Ġinc red", + "t es", + "+ +", + "ĠFr ance", + "Ġb reat", + "ow l", + "Ġiss ued", + "ĠW estern", + "Ġdet ect", + "Ġpart ners", + "Ġsh ared", + "ĠC all", + "Ġcan cer", + "ac he", + "rib e", + "Ġexpl ained", + "Ġhe at", + "{ \"", + "Ġinvest ment", + "ĠB ook", + "Ġw ood", + "Ġtool s", + "ĠAl though", + "Ġbelie f", + "Ġcris is", + "Ġg e", + "ĠM P", + "Ġoper ation", + "ty pe", + "~ ~", + "g a", + "Ġcont ains", + "ant a", + "Ġexp ress", + "ĠG roup", + "ĠJ ournal", + "k a", + "Ġam b", + "ĠUS A", + "Ġfind ing", + "Ġfund ing", + "h ow", + "Ġestab lished", + "ide os", + "Ġdeg ree", + "Ġdanger ous", + "ang ing", + "Ġfre edom", + "pp ort", + "out hern", + "Ġch urch", + "Ġc atch", + "ĠTw o", + "Ġpres ence", + "ĠGu ard", + "U p", + "Ġauthor ity", + "ĠPro ject", + "Ġbut ton", + "Ġcon sequ", + "Ġval id", + "Ġwe ak", + "Ġstart s", + "Ġref erence", + "ĠM em", + "\" )", + "U N", + "or age", + "ĠO pen", + "Ġcol lection", + "y m", + "g ency", + "Ġbeaut iful", + "ro s", + "Ġtell s", + "Ġwa iting", + "n el", + "Ġprov iding", + "ĠDemocr ats", + "Ġd aughter", + "Ġm aster", + "Ġpur poses", + "ĠJapan ese", + "Ġequ al", + "Ġturn s", + "Ġdoc uments", + "Ġwatch ing", + "R es", + "Ġr an", + "201 4", + "Ġre ject", + "ĠKore a", + "Ġvictim s", + "Le vel", + "ere nces", + "Ġw itness", + "Ġ3 4", + "Ġre form", + "com ing", + "Ġocc up", + "Ġc aught", + "Ġtra ffic", + "ad ing", + "Ġmod els", + "ar io", + "Ġserv ed", + "Ġb atter", + "u ate", + "ĠSecret ary", + "Ġagre ed", + "Ġtr uly", + "yn am", + "ĠR et", + "Ġun its", + "ĠRes earch", + "h and", + "az ine", + "ĠM ike", + "Ġvar iety", + "ot al", + "Ġam azing", + "Ġconfir med", + "Ġentire ly", + "Ġpurch ase", + "Ġe lement", + "Ġc ash", + "Ġdeter mine", + "D e", + "Ġc ars", + "ĠW all", + "â ĸ", + "Ġview s", + "Ġdrug s", + "Ġdep artment", + "ĠSt ep", + "u it", + "Ġ3 9", + "as ure", + "ĠCl ass", + "Ġc overed", + "ĠB ank", + "Ġme re", + "u ana", + "Ġmult i", + "Ġm ix", + "Ġun like", + "lev ision", + "Ġsto pped", + "Ġs em", + "ĠG al", + "ul es", + "Ġwe l", + "ĠJohn son", + "l a", + "Ġsk ill", + "Ġbec oming", + "ri e", + "Ġappropri ate", + "f e", + "ell ow", + "ĠPro t", + "ul ate", + "oc ation", + "Ġweek end", + "od ies", + "Ġsit es", + "Ġanim al", + "ĠT im", + "Ġsc ale", + "Ġcharg ed", + "Ġinst ruct", + "ill a", + "Ġmethod s", + "Ġc ert", + "Ġjud ge", + "ĠH el", + "Ġdoll ars", + "Ġstand ing", + "ĠS qu", + "Ġdeb t", + "l iam", + "Ġdri ving", + "ĠS um", + "ĠEd ition", + "Ġal bum", + "and on", + "I F", + "ĠU k", + "6 3", + "ad er", + "Ġcommer cial", + "es h", + "ĠGovern ment", + "Ġdisc overed", + "Ġout put", + "ĠHill ary", + "ĠCar ol", + "Ġ200 5", + "Ġab use", + "anc ing", + "Ġsw itch", + "Ġann ual", + "T w", + "Ġst ated", + "ag ement", + "in ner", + "Ġdem ocr", + "Ġres idents", + "Ġallow ing", + "Ġfact ors", + "od d", + "Ġf uck", + "em ies", + "Ġoccur red", + "ot i", + "Ġn orth", + "ĠP ublic", + "Ġinj ury", + "Ġins urance", + "C L", + "oll y", + "ã Ģ", + "Ġrepe ated", + "Ġar ms", + "ang ed", + "Ġconst ruction", + "Ġf le", + "P U", + "ic ians", + "Ġfor ms", + "ĠMc C", + "ant ic", + "Ġm ental", + "p ire", + "Ġequ ipment", + "Ġf ant", + "Ġdiscuss ion", + "Ġregard ing", + "k in", + "ar p", + "Ġch air", + "og ue", + "Ġpro ceed", + "ĠI d", + "O ur", + "Ġmur der", + "M an", + "Ġ4 9", + "as p", + "Ġsupp ly", + "Ġin put", + "Ġwe alth", + "liam ent", + "Ġpro ced", + "or ial", + "ĠSt at", + "ĠN FL", + "hen s", + "ĠInst itute", + "Ġput ting", + "ourn ament", + "et ic", + "Ġloc ated", + "Ġk id", + "er ia", + "r un", + "Ġpr inc", + "Ġ !", + "go ing", + "ĠB et", + "Ġcl ot", + "Ġtell ing", + "Ġprop osed", + "i ot", + "or ry", + "Ġfund s", + "g ment", + "ĠL ife", + "Ġb aby", + "ĠB ack", + "Ġsp oke", + "Im age", + "Ġear n", + "ĠA T", + "g u", + "Ġex change", + "ĠL in", + "ov ing", + "Ġp air", + "M ore", + "az on", + "Ġarrest ed", + "Ġkill ing", + "c an", + "ĠC ard", + "y d", + "Ġident ified", + "Ġm obile", + "Ġthan ks", + "ony m", + "ĠF orm", + "Ġhundred s", + "ĠCh ris", + "ĠC at", + "Ġtre nd", + "h at", + "ĠA v", + "om an", + "Ġelect ric", + "ĠW il", + "S E", + "O f", + "Ġrest aur", + "ot ed", + "Ġtr ig", + "Ġn ine", + "Ġb omb", + "Wh y", + " ¯", + "Ġco verage", + "Ġapp eal", + "ĠRober t", + "ĠS up", + "Ġfin ished", + "Ġfl ow", + "Ġdel iver", + "Ġcal cul", + "Ġphot os", + "Ġph il", + "Ġpie ces", + "Ġapp re", + "k es", + "Ġr ough", + "D o", + "Ġpart ner", + "Ġconcern ed", + "Ġ3 7", + "ĠG en", + "C ol", + "ct ors", + "Ġ= >", + "st ate", + "Ġsuggest ed", + "ĠFor ce", + "C E", + "Ġher self", + "ĠPl an", + "w orks", + "o oth", + "ren cy", + "Ġcor ner", + "Ġhus band", + "Ġintern et", + "ĠA ut", + "em s", + "os en", + "ĠAt l", + "g en", + "Ġbal ance", + "6 2", + "Ġsound s", + "te xt", + "Ġar r", + "ov es", + "Ġmill ions", + "Ġrad io", + "Ġsat isf", + "ĠD am", + "M r", + "G o", + "S pe", + "Ġcomb at", + "r ant", + "ĠG ree", + "Ġf uel", + "Ġdist ance", + "Ġtest s", + "Ġdec re", + "ĠE r", + "Ġman aged", + "D S", + "Ġt it", + "Ġmeas ures", + "ĠL iber", + "Ġatt end", + "as hed", + "ĠJ ose", + "ĠN ight", + "d it", + "ĠN ov", + "ĠE nd", + "out s", + "Ġgener ation", + "Ġadv oc", + "y th", + "Ġconvers ation", + "ĠS ky", + "act ive", + "ce l", + "ri er", + "ĠFr ank", + "Ġg ender", + "Ġcon cent", + "Ġcar ried", + "and a", + "ĠV irgin", + "Ġarri ved", + "ic ide", + "ad ed", + "Ġfail ure", + "Ġmin imum", + "le ts", + "Ġwor st", + "Ġkeep ing", + "Ġint ended", + "Ġilleg al", + "Ġsub sc", + "Ġdetermin ed", + "Ġtri p", + "Y es", + "Ġra ise", + "Ġ ~", + "Ġfeel s", + "Ġpack age", + "ĠJ o", + "h i", + "201 6", + "re al", + "Ġf ra", + "Ġsy mb", + "M e", + "uck y", + "p ret", + "ĠK h", + "ĠEd it", + "ĠWe b", + "em ic", + "ĠCol or", + "Ġjust ice", + "I nt", + "Ġfar m", + "ck now", + "\" >", + "el ess", + "Ġredu ced", + "Ġ5 00", + "x x", + "ĠR ad", + "ĠW ood", + "Ġcl in", + "Ġhy p", + "il er", + "ur a", + "k ins", + "8 5", + "6 1", + "ĠThe ir", + "ĠM ary", + "Ġs an", + "Ġno vel", + "ĠWh o", + "Ġcap acity", + "Ġimp ossible", + "Ġpl ays", + "Ġmin ister", + "ij uana", + "ic ate", + "ĠS et", + "Ġf ram", + "Ġ ing", + "Ġcommun ities", + "ĠF BI", + "it a", + "Ġb on", + "Ġstr ateg", + "Ġinterest s", + "l ock", + "g ers", + "m as", + "ĠAN D", + "Ġconflic t", + "Ġrequire ments", + "Ġs ac", + "Ġoper ating", + "in i", + "rel ated", + "Ġcomm itted", + "Ġrelative ly", + "Ġs outh", + "¯ ¯", + "Ġaff ord", + "Ġident ity", + "Ġdec isions", + "Ġacc used", + "pl ace", + "Ġvict ory", + "o ch", + "i at", + "N ame", + "C om", + "t ion", + "ed s", + "Ġsee k", + "Ġt ight", + "ĠIm ages", + "Ġinit i", + "Ġhum ans", + "Ġfam iliar", + "Ġaud ience", + "Ġintern al", + "vent ure", + "Ġs ides", + "ĠT O", + "Ġd im", + "Ġcon clud", + "Ġapp oint", + "Ġenforce ment", + "ĠJ im", + "ĠAssoci ation", + "Ġcircum st", + "ĠCanad ian", + "Ġjo ined", + "Ġdiffere nces", + "ĠL os", + "Ġprot est", + "Ġtw ice", + "w in", + "Ġgl ass", + "ars h", + "ĠAr my", + "Ġexp ression", + "Ġdec ide", + "Ġplan ning", + "an ia", + "Ġhand le", + "ĠMicro soft", + "ĠN or", + "Ġmax imum", + "ĠRe v", + "Ġse a", + "Ġev al", + "Ġhel ps", + "re f", + "Ġb ound", + "Ġm outh", + "Ġstand ards", + "Ġcl im", + "ĠC amp", + "ĠF ox", + "cl es", + "Ġar my", + "ĠTe chn", + "ack ing", + "x y", + "S S", + "Ġ4 2", + "Ġbu g", + "ĠUk rain", + "ĠM ax", + "ĠJ ones", + "ĠSh ow", + "l o", + "Ġplan et", + "Ġ7 5", + "Ġwin ning", + "Ġf aster", + "Ġspe ct", + "Ġbro ken", + "T R", + "Ġdef ined", + "Ġhealth y", + "Ġcompet ition", + "htt ps", + "ĠIs land", + "ĠF e", + "Ġannoun ce", + "ĠC up", + "ĠInst ead", + "Ġcl ient", + "Ġposs ibly", + "se ction", + "ock et", + "l ook", + "Ġfin ish", + "Ġcre w", + "Ġres erv", + "Ġed itor", + "Ġh ate", + "Ġs ale", + "Ġcontro vers", + "Ġp ages", + "w ing", + "Ġnum er", + "Ġopp osition", + "Ġ200 4", + "Ġref uge", + "Ġfl ight", + "Ġap art", + "ĠL at", + "A meric", + "ĠAfric a", + "Ġapplic ations", + "ĠPal est", + "ĠB ur", + "Ġg ar", + "ĠSoc ial", + "Ġup gr", + "Ġsh ape", + "Ġspe aking", + "ans ion", + "a o", + "ĠS n", + "Ġwor ry", + "ĠBrit ain", + "P lease", + "rou d", + "Ġh un", + "Ġintrodu ced", + "Ġd iet", + "I nd", + "ĠSec ond", + "Ġfun ctions", + "ut s", + "ĠE ach", + "ĠJe ff", + "Ġst ress", + "Ġaccount s", + "Ġgu arant", + "ĠAn n", + "ed ia", + "Ġhon est", + "Ġt ree", + "ĠAfric an", + "ĠB ush", + "} ,", + "Ġs ch", + "ĠOn ly", + "Ġf if", + "ig an", + "Ġexerc ise", + "ĠEx p", + "Ġscient ists", + "Ġlegisl ation", + "ĠW ork", + "ĠS pr", + "à Ĥ", + "ĠH uman", + "Ġ è", + "Ġsur vey", + "Ġr ich", + "ri p", + "Ġmain tain", + "Ġfl o", + "Ġleaders hip", + "st ream", + "ĠIslam ic", + "Ġ 01", + "ĠCol lege", + "Ġmag ic", + "ĠPr ime", + "Ġfig ures", + "201 7", + "ind er", + "x ual", + "ĠDe ad", + "Ġabsolute ly", + "Ġfour th", + "Ġpresent ed", + "resp ond", + "rib le", + "Ġal cohol", + "at o", + "ĠD E", + "por ary", + "Ġgr ab", + "Ġvar i", + "Ġqu ant", + "ĠPh oto", + "Ġpl us", + "r ick", + "ar ks", + "Ġaltern ative", + "Ġp il", + "Ġappro x", + "th at", + "Ġobject s", + "ĠR o", + "ĠAnd roid", + "Ġsignificant ly", + "ĠR oad", + "k ay", + "R ead", + "av or", + "Ġa cknow", + "ĠH D", + "ĠS ing", + "O r", + "ĠM ont", + "Ġun s", + "pro f", + "Ġneg oti", + "ĠAr ch", + "ik i", + "Ġte levision", + "ĠJew ish", + "Ġcomm ittee", + "Ġmot or", + "Ġappear ance", + "Ġs itting", + "Ġstri ke", + "ĠD own", + "com p", + "ĠH ist", + "Ġf old", + "ac ement", + "ĠLou is", + "Ġbel ong", + "ĠâĢ ¢", + "Ġm ort", + "Ġprep ared", + "Ġ6 4", + "ĠM aster", + "Ġind eed", + "ĠD en", + "Ġre nt", + "T A", + "our ney", + "ar c", + "S u", + "9 7", + "Ġadv ice", + "Ġchang ing", + "Ġlist ed", + "Ġlaun ched", + "is ation", + "ĠP eter", + "is hes", + "Ġl ived", + "ĠM el", + "ĠSup reme", + "ĠF ederal", + "Ġ) ;", + "ruct ure", + "Ġset s", + "Ġphil os", + "u ous", + "Ġ ł", + "Ġappl ied", + "ĠN OT", + "Ġhous ing", + "ĠM ount", + "Ġo dd", + "Ġsu st", + "D A", + "ffic ient", + "Ġ ?", + "ol ved", + "Ġp owers", + "Ġth r", + "Ġrem aining", + "ĠW ater", + "L C", + "Ġca uses", + "ãģ ®", + "Ġman ner", + "ad s", + "Ġsuggest s", + "Ġend s", + "stand ing", + "f ig", + "ĠD un", + "id th", + "Ġg ay", + "Ġter min", + "ĠAngel es", + "M S", + "Ġscient ific", + "Ġco al", + "ap ers", + "b ar", + "ĠThom as", + "Ġsy m", + "ĠR un", + "th is", + "P C", + "igr ants", + "Ġmin ute", + "ĠDist rict", + "cell ent", + "Ġle aves", + "Ġcomple ted", + "am in", + "Ġfoc used", + "Ġmon itor", + "Ġveh icles", + "M A", + "ĠM ass", + "ĠGr and", + "Ġaffect ed", + "itution al", + "Ġconst ruct", + "Ġfollow s", + "Ġt on", + "re ens", + "Ġh omes", + "ĠE xt", + "ĠLe vel", + "r ast", + "ĠI r", + "Ġel im", + "Ġlarge ly", + "ĠJ oe", + "Ġvot es", + "all s", + "Ġbusiness es", + "ĠFound ation", + "ĠCent ral", + "Ġy ards", + "Ġmaterial s", + "ul ner", + "Ġgu ide", + "Ġclos er", + "um s", + "Ġsp orts", + "ed er", + "J ust", + "Ġtax es", + "8 4", + "ĠO ld", + "Ġdec ade", + "ol a", + "Ġv ir", + "Ġdro pped", + "Ġdel ay", + "it ect", + "Ġsec ure", + "ste in", + "le vel", + "Ġtre ated", + "Ġfil ed", + "ain e", + "Ġv an", + "Ġm ir", + "Ġcol umn", + "ict ed", + "e per", + "Ġro t", + "Ġcons ult", + "Ġent ry", + "Ġmar ijuana", + "ĠD ou", + "Ġapparent ly", + "ok ing", + "clus ive", + "Ġincre ases", + "an o", + "Ġspecific ally", + "Ġte le", + "ens ions", + "Ġrelig ion", + "ab ilities", + "Ġfr ame", + "ĠN ote", + "ĠLe e", + "Ġhelp ing", + "Ġed ge", + "ost on", + "Ġorgan izations", + "à ĥ", + "ĠB oth", + "hip s", + "Ġbig ger", + "Ġbo ost", + "ĠSt and", + "Ġro w", + "ul s", + "ab ase", + "Ġr id", + "L et", + "are n", + "ra ve", + "Ġst ret", + "P D", + "Ġv ision", + "Ġwe aring", + "Ġappre ci", + "Ġa ward", + "ĠU se", + "Ġfact or", + "w ar", + "ul ations", + ") (", + "Ġg od", + "Ġter rit", + "Ġpar am", + "ast s", + "8 7", + "Ġen emies", + "ĠG ames", + "F F", + "Ġacc ident", + "W ell", + "ĠMart in", + "T ER", + "Ġat h", + "ĠHe ll", + "Ġfor g", + "Ġve ter", + "ĠMed ic", + "f ree", + "Ġst ars", + "Ġexp ensive", + "Ġac ad", + "ra wn", + "ĠW he", + "Ġl ock", + "Ġform at", + "Ġsold iers", + "s m", + "Ġag ent", + "Ġrespons ibility", + "or a", + "ĠS cience", + "Ġrap id", + "Ġt ough", + "ĠJes us", + "Ġbelie ves", + "M L", + "Ġwe ar", + "le te", + "Ãĥ ÃĤ", + "ĠD ri", + "Ġcomm ission", + "ĠB ob", + "O h", + "ap ed", + "Ġwar m", + "ÃĥÃĤ ÃĥÃĤ", + "Ġ200 3", + "ort ion", + "Ġhas n", + "ust er", + "Ġun ivers", + "ĠI ll", + "Ġk ing", + "olog ies", + "9 4", + "ĠT em", + "ĠM os", + "Ġpat ient", + "ĠMex ico", + "ce an", + "ĠDe ath", + "ĠSand ers", + "y ou", + "ĠC ast", + "ĠComp any", + "pt y", + "Ġhappen ing", + "F P", + "ĠB attle", + "Ġb ought", + "A m", + "M od", + "U s", + "ut ers", + "ĠC re", + "ĠTh ose", + "Ġ4 4", + "is er", + "Ġs oul", + "ĠT op", + "ĠHar ry", + "ĠA w", + "Ġse at", + "ff ee", + "Ġrev olution", + "Ġ( \"", + "ĠD uring", + "et te", + "Ġr ing", + "Ġoff ensive", + "Ġreturn s", + "Ġv ideos", + "Ġdis cl", + "Ġfam ous", + "en ced", + "ĠS ign", + "ĠR iver", + "Ġ3 00", + "P M", + "ĠB us", + "ĠC H", + "Ġcandid ates", + "ard en", + "Ġpercent age", + "Ġvis ual", + "Ġthan k", + "Ġtrou ble", + "ner gy", + "Ġ200 1", + "Ġpro ve", + "ash ion", + "Ġen h", + "ĠL ong", + "U M", + "Ġconnect ed", + "Ġposs ibility", + "O ver", + "Ġexper t", + "Ġl ibrary", + "art s", + "ĠDirect or", + "Ġfell ow", + "9 2", + "ir ty", + "Ġd ry", + "Ġsign s", + "ĠL ove", + "Ġqu iet", + "f oot", + "Ġp ure", + "ĠH un", + "Ġf illed", + "ph as", + "ĠE lect", + "end ment", + "ĠEx pl", + "Ġun able", + "n s", + "m o", + "Ġv ast", + "ob e", + "Ġident ify", + "app ing", + "ĠCarol ina", + "g ress", + "Ġpro te", + "Ġf ish", + "Ġcircumst ances", + "raz y", + "ĠPh ot", + "Ġb odies", + "ĠM ur", + "Ġdevelop ing", + "ĠA R", + "Ġexperien ced", + "Ġsubst ant", + "ĠBo ard", + "es ome", + "Ġdom estic", + "Ġcomb ined", + "ĠP ut", + "Ġchem ical", + "ĠCh ild", + "Ġpo ol", + "ĠC y", + "Ġe gg", + "c ons", + "st ers", + "Ġh urt", + "Ġmark ets", + "Ġconserv ative", + "Ġsupp orters", + "Ġag encies", + "id el", + "O b", + "ur b", + "Ġ4 3", + "ĠDef ense", + "y e", + "ĠA p", + "du le", + "Ġtemper ature", + "Ġconduct ed", + "ĠCh ief", + "Ġpull ed", + "Ġf ol", + "L ast", + "ont o", + "os is", + "V ER", + "D es", + "ĠP an", + "F irst", + "Ġadv ance", + "Ġlic ense", + "r ors", + "ĠJ on", + "Ġimag ine", + "Ġhe ll", + "Ġf ixed", + "Ġinc or", + "os ite", + "ĠL og", + "ick en", + "] :", + "Ġsurpr ise", + "h ab", + "Ġc raft", + "ol t", + "ĠJ ul", + "Ġd ial", + "Ġrele vant", + "Ġent ered", + "Ġlead s", + "ĠA D", + "ĠCle an", + "Ġpict ures", + "ess or", + "Ġal t", + "Ġpay ing", + "P er", + "ĠMark et", + "Ġupd ates", + "am ily", + "ĠT ype", + "ĠH ome", + "Ġ5 5", + "semb ly", + "rom e", + "8 3", + "Ġgreat est", + "Ġhe ight", + "Ġhe av", + "ain ts", + "Ġlist en", + "as er", + "ĠS H", + "Ġcap able", + "ac le", + "Ġpers pect", + "in ating", + "Ġoff ering", + "ry pt", + "ĠDe velop", + "ab in", + "r c", + "Ġbr ight", + "al ty", + "ar row", + "Ġsupp l", + "ind ing", + "ack ed", + "gy pt", + "ĠAn other", + "p g", + "ĠVirgin ia", + "ĠL u", + "Ġpl anned", + "Ġp it", + "Ġswe et", + "T ype", + "ĠD i", + "Ġtyp ically", + "ĠFranc isco", + "Ġpro spect", + "ĠD an", + "Ġte en", + "re es", + "Ġsc hed", + "Ġh ol", + "Ġsc r", + "Ġlot s", + "l ife", + "Ġnews p", + "Ġfor get", + "ĠN one", + "ĠM iddle", + "ĠR yan", + "ed d", + "Ġse vere", + "Ġsu it", + "ll er", + "9 3", + "Ġcor respond", + "Ġexpl os", + "u ations", + "Ġfl ag", + "g ame", + "r id", + "Ġpr in", + "ĠD ata", + "Ġde ploy", + "ĠEn ter", + "su it", + "gh an", + "ĠM en", + "Ġthough ts", + "Ġmat ters", + "Ġad apt", + "ĠA ri", + "Ġf ill", + "Ġfor th", + "Ġs am", + "Ġ4 1", + "Ġpay ment", + "ĠH or", + "Ġsp ring", + "du c", + "Ġl osing", + "Ġbring ing", + "F O", + "al a", + "Ġdist ribution", + "he red", + "b our", + "ĠIsrael i", + "om a", + "Ġcomb ination", + "Ġpl enty", + "V E", + "C an", + "ĠH aw", + "Ġper man", + "ĠSpe cial", + "Ġto w", + "Ġsee king", + "Ġexam ples", + "Ġclass es", + "c r", + "Ġbe er", + "Ġmov es", + "ĠI P", + "ĠK n", + "Ġpan el", + "E ven", + "Ġproper ly", + "Ġr is", + "Ġpl ug", + "Ġestim ated", + "E very", + "Ġdef ensive", + "ag raph", + "Ġpre gn", + "Ġinst it", + "ĠV ict", + "Ġvol ume", + "Ġpos itions", + "Ġl inks", + "ĠPro gram", + "ĠWe ek", + "ag ues", + "Ġtrans form", + "k er", + "ĠC EO", + "Ġc as", + "Ġopp onent", + "Ġtwe et", + "ĠC ode", + "Ġsh op", + "Ġf ly", + "Ġtal ks", + "Ġb ag", + "Ph one", + "Ġa id", + "Ġpl ants", + "Ġ6 5", + "Ġatt orney", + "ar ters", + "qu est", + "ĠMag ic", + "Ġbeg ins", + "Ġmy ster", + "Ġenvironment al", + "Ġst orage", + "N N", + "Ġm arg", + "Ġs ke", + "Ġmet al", + "ell y", + "Ġord ered", + "Ġrem ained", + "Ġl oved", + "Ġprom pt", + "Ġupd ated", + "Ġexper ts", + "Ġwalk ing", + "Ġan cient", + "Ġperform ed", + "AT E", + "Ġne ither", + "i ency", + "Ġmanufact ure", + "ĠP ak", + "Ġselect ed", + "Ġm ine", + "Ġult imately", + "Ġexpl an", + "Ġlab el", + "ĠServ ices", + "ribut ed", + "Tr ump", + "Ġsy n", + "ĠU lt", + "S C", + "Ġme at", + "Ġg iant", + "ĠW ars", + "ĠO N", + "Ġad m", + "Ġinter pret", + "Ġeven ing", + "Ġev il", + "ĠB oston", + "ĠW ild", + "Ġ Ã", + "ĠBit coin", + "ĠAm azon", + "D r", + "ĠIn formation", + "Ġobvious ly", + "Ġadv anced", + "Ph oto", + "ol ar", + "Ġwe ather", + "Ġsymb ol", + "Ġso le", + "Ġpot entially", + "ost er", + "Ġorig inally", + "m un", + "3 00", + "az e", + "ess ions", + "Ġde ck", + "Ġst ood", + "Ġyou th", + "ĠB ern", + "R ep", + "ĠT est", + "Ġbas ically", + "ot ic", + "Ġinvol ve", + "ol it", + "ly n", + "S ee", + "Ġair craft", + "Ġconf irm", + "E W", + "Ġmess ages", + "ĠRich ard", + "Ġk it", + "Ġpro hib", + "Ġv ulner", + "is ters", + "Ġexist ence", + "Ġturn ing", + "ĠS P", + "Ġdes ire", + "Ġfl at", + "Ġm ent", + "se ason", + "ang es", + "Ġneighbor hood", + "ĠL ake", + "AT ION", + "Ġpoint ed", + "b ur", + "Ġinn ov", + "uc ks", + "U L", + "Ġprofess or", + "Ġexp ressed", + "A B", + "ic ious", + "Ġ200 2", + "ĠDe v", + "Ġs ession", + "Ġb are", + "s en", + "Ġdis s", + "ĠC ath", + "ĠP ass", + "ĠP oint", + "Ġdo ctor", + "or row", + "ail ed", + "ĠR ub", + "ĠD C", + "ĠChar l", + "p erson", + "Ġwrit er", + "igh ters", + "ure au", + "Ġob lig", + "Ġrecord ed", + "Ġbro ke", + "Ġord ers", + "il ty", + "Ġmot ion", + "in ity", + "l aw", + "ad ium", + "Ġimm igration", + "Ġcontr ast", + "Ġb att", + "Ġex cellent", + "Ġtechn ical", + "am i", + "Ġt un", + "Ġcl oud", + "ĠY ear", + "ge on", + "Ġcre ation", + "Ġstr ange", + "Ġa uth", + "Ġfor t", + "b orn", + "Ġext ent", + "ĠT oday", + "ĠCl ub", + "Ġr ain", + "Ġs ample", + "Ġaccept ed", + "Ġt act", + "Ġf ired", + "ĠS on", + "Ġstand s", + "Ġb oot", + "Ġ4 7", + "Ġstat ements", + "Ġvers ions", + "Ġse lling", + "ound ed", + "Ġ199 0", + "Ġwere n", + "ĠW atch", + "Ġexper iment", + "P ost", + "Ġret ail", + "ul ed", + "In st", + "un te", + "ãĥ ¼", + "Ġdep art", + "Ġb ond", + "i very", + "om pl", + "Ġre action", + "ĠSyri an", + "ĠP ac", + "app ed", + "ani el", + "D P", + "Ġres olution", + "Ġre act", + "Ġappro ved", + "on om", + "m ond", + "ĠO ffic", + "-- -", + "Ġrepl ace", + "Ġt ack", + "Ġsp ort", + "Ġch ain", + "Ġemer gency", + "r ad", + "ĠPalest in", + "Ġ4 6", + "Ġautom atically", + "Ġrout e", + "Ġp al", + "Ġb anks", + "ĠPar is", + "ĠMed ia", + "ro ad", + "ic ing", + "i xt", + "ist ed", + "Ġg rew", + "Ġco ord", + "ĠW here", + "om in", + "Ġsub s", + "� �", + "Ġ ±", + "Ġcorpor ate", + "Ġse lection", + "n oon", + "ĠRep ort", + "c s", + "clud ing", + "ord ers", + "anc he", + "ĠIt s", + "Ġslow ly", + "ĠE gypt", + "ĠA cc", + "Ġcol le", + "iqu es", + "E X", + "Ġattempt s", + "ur l", + "ĠC ross", + "Ġfind ings", + "ĠS C", + "ĠO R", + "Ġind ex", + "ens ity", + "ĠW ay", + "ĠL and", + "Ġsh ock", + "d is", + "Ġd ynam", + "Ġc art", + "m osp", + "S ince", + "i est", + "ĠB oy", + "Ġst orm", + "ĠCont in", + "201 3", + "he w", + "il it", + "Ġess ential", + "iqu id", + "O ther", + "ive red", + "Ġreason able", + "A ct", + "Ġsub sequ", + "ĠP ack", + "ĠF ort", + "Ġconsider ing", + "Ġun iversity", + "l og", + "Ġmar ried", + "Ġill ust", + "ĠTr ue", + "£ ı", + "Ġnumer ous", + "rast ructure", + "Ġserious ly", + "Ġrefer red", + "u a", + "Ġconsist ent", + "on na", + "ĠRe al", + "ru ption", + "ci ples", + "Ġfact s", + "9 1", + "ot es", + "er g", + "The n", + "Ġacc ompl", + "N ote", + "Ġre venue", + "Ġpass ing", + "Ġm al", + "e en", + "ĠY et", + "Ġg ather", + "ter day", + "ew ork", + "ĠA uthor", + "P e", + "Ġopt im", + "Ġr ub", + "Ġè £ı", + "Ġun known", + "st one", + "Ġun ion", + "ol ve", + "Ġopportun ities", + "Ġbrow ser", + "ĠW al", + "ĠC ost", + "Ġreport ing", + "st s", + "p et", + "Ġs and", + "Ġsudden ly", + "Ġsurpr ising", + "ĠV R", + "Ġsomew hat", + "ĠB as", + "ult ure", + "iz z", + "ĠC D", + "Ġchalleng es", + "Ġsett ings", + "Ġexperien ces", + "ĠF ull", + "Ġcan n", + "Ġrece iving", + "ES T", + "Ġj oint", + "Ġcult ural", + "Ġa st", + "8 2", + "as tern", + "ce ived", + "ĠC ru", + "Ġb ull", + "p ired", + "am m", + "Ġfac ing", + "p ower", + "Ġb oss", + "ĠH ol", + "Ġinst r", + "Ġincreasing ly", + "Ġsh ift", + "Ġstre ets", + "ĠWilliam s", + "ab b", + "Ġl ie", + "Ġl augh", + "ĠC a", + "P L", + "Ġadult s", + "Ġcustom er", + "Ġob tained", + "Ġsupport ing", + "ht ml", + "f ire", + "Ġdetail ed", + "Ġpick ed", + "ĠR ight", + "ld er", + "E E", + "st ood", + "ĠK im", + "Ġw ire", + "Ġs ight", + "Ġdevelop ers", + "Ġpers ons", + "Ġs ad", + "Ġc up", + "Ġwar ning", + "Ġboy s", + "l ong", + "Ġb ird", + "f o", + "Ġw al", + "Ġobserv ed", + "Ġz one", + "iven ess", + "Ġch annel", + "c ript", + "Ġref used", + "ĠAg ain", + "Ġsu c", + "Ġspokes man", + "ĠRe f", + "r ite", + "ou ston", + "ãĥ ³", + "ĠS her", + "Ġact s", + "ĠN ame", + "Ġstrugg le", + "ar ry", + "omet imes", + "Ġdisc rim", + "H T", + "Ġcateg ory", + "Ġreal ize", + "Ġemploy ee", + "ĠAf ghan", + "en ger", + "Ġgun s", + "ĠSte ve", + "ĠM ot", + "ĠO l", + "ok ed", + "Ġth ick", + "Ġfair ly", + "ill y", + "Ġsur ve", + "ĠM at", + "we ight", + "â Ķ", + "Ġtro ops", + "Ġag ents", + "Ġbatter y", + "Ġmot iv", + "à ¡", + "S ec", + "d en", + "o very", + "L S", + "Ġfl u", + "Ġconf ident", + "ĠO per", + "Ġem pty", + "Ġp hen", + "Ġse ctor", + "Ġexc ited", + "Ġrem ote", + "ap h", + "o en", + "Ġdestroy ed", + "Ġmor al", + "ĠH P", + "ĠR on", + "Ġd ress", + "ĠB at", + "Ġl it", + "ĠM S", + "Ġa f", + "H L", + "r um", + "is ms", + "Ġshould n", + "Ġsym pt", + "ĠTor onto", + "het ic", + "Ġcar bon", + "Ġinstall ed", + "Ġviol ent", + "Ġsol ar", + "j a", + "Ġpract ices", + "Ġr ide", + "ĠP enn", + "Ġimpro ved", + "Ġaud io", + "Ġbehav i", + "ĠP S", + "Ġe ating", + "D ata", + "ĠRe view", + "p ass", + "cl aim", + "u ated", + "ang ers", + "c hen", + "Ġproper ties", + "Ġany where", + "An other", + "Ġbl ow", + "ĠJack son", + "Ġp roud", + "Ġplan e", + "l ines", + "Ġsqu are", + "Ġpro of", + "ans as", + "Ġtalk ed", + "m akers", + "Ġs ister", + "Ġhold s", + "Ġres ident", + "Ġ= =", + "Ġresist ance", + "Ġspl it", + "Ġpro secut", + "Ġconf idence", + "res ents", + "Ġcut s", + "Ġexcept ion", + "Ġz ero", + "Get ty", + "Ġcop yright", + "Ġtot ally", + "orm al", + "ific ations", + "ĠAustral ian", + "Ġs ick", + "Ġ1 50", + "Ġhouse hold", + "Ġfe es", + "Ġdri vers", + "og en", + "ĠN Y", + "Ġnecess arily", + "Ġregul ations", + "ear ing", + "s l", + "Ġperspect ive", + "c are", + "ic ial", + "H is", + "Ġesc ape", + "Ġsurpr ised", + "ĠV an", + "ur rent", + "Ġv ac", + "8 1", + "ĠTh us", + "Ġem phas", + "ĠCh ampions", + "ĠI ce", + "Ġn arr", + "Ġhead s", + "Ġca using", + "b el", + "f ortunately", + "ĠM a", + "Ġtarg ets", + "ci pl", + "Ġafter noon", + "Ġadd s", + "ĠMay be", + "ĠF our", + "ess ed", + "ple te", + "Ġus ual", + "ch o", + "ing u", + "Ġwith d", + "ĠE nergy", + "ĠE conom", + "O O", + "Ġart icles", + "Ġinj ured", + "Ġman age", + "Ġexpl ains", + "Ġdi agn", + "R ec", + "at ures", + "Ġlink ed", + "Ġdiscuss ed", + "Ġexpl o", + "Ġocc asion", + "ath an", + "Ġopp osite", + "Ġfac es", + "Ġden ied", + "ĠK night", + "Ġn ut", + "Ġapprox imately", + "Ġdisapp oint", + "onym ous", + "ĠB est", + "ĠL o", + "ĠH y", + "ĠA ff", + "Ġvot ing", + "an while", + "ĠII I", + "Ġinstit utions", + "ag ram", + "ĠD aily", + "Ġdr ag", + "Ġnear by", + "Ġgu ilty", + "Ġcon ver", + "P re", + "s hip", + "Ġre ward", + "Ġphilos oph", + "ĠS S", + "u gh", + "Ġapp s", + "f riend", + "Ġu pper", + "Ġad vert", + "Ġs now", + "Ġfr ust", + "Ġour selves", + "F r", + "ĠD ie", + "amp ion", + "Ġdis miss", + "Ġc ere", + "Ġsign al", + "f rom", + "Ġ ).", + "Ġ5 2", + "Ġcr imes", + "it ors", + "est ival", + "use um", + "Ġcoun cil", + "ĠS aud", + "M ay", + "ĠG un", + "ic ian", + "et her", + "Ġsu fficient", + "ĠH en", + "so le", + "Ġhistor ical", + "ĠF ar", + "ĠT urn", + "Ġp in", + "Ġsuc ceed", + "m at", + "ly mp", + "Ġtrad ition", + "ĠO k", + "Ġc ro", + "Ġdesc ription", + "al le", + "Ġsk y", + "T e", + "Ġwide ly", + "Ġw ave", + "Ġdefin ition", + "ĠJew s", + "Ġcy cle", + "Ġref ere", + "Ġbr ings", + "us al", + "Ġal ive", + "Ġfrequ ently", + "Ġint ention", + "ĠCont rol", + "l v", + "y stem", + "Ġpriv acy", + "g ent", + "ren ce", + "ĠQu est", + "ĠChrist mas", + "Ġr ail", + "Ġco oper", + "Ġtest ed", + "ĠC apt", + "as ks", + "Ġcomfort able", + "Ġdel ivered", + "sc ape", + "Ġdep th", + "ĠG OP", + "Ġwrit es", + "Ġass ets", + "Ġsa v", + "im ents", + "Ġtrans ition", + "Ġart ist", + "ĠL ook", + "Ġl ob", + "Ġcomp onents", + "ar ity", + "Ġwalk ed", + "Ġro ot", + "Ġparticip ants", + "Ġnot iced", + "Ġres c", + "Ġn av", + "ĠAd minist", + "d a", + "ut ral", + "pl ate", + "Ġimport ance", + "Ġass ert", + "ious ly", + "c ription", + "Ġinj uries", + "ĠChe ck", + "Ġregist ered", + "Ġint ent", + "Ġmiss ed", + "ograph ic", + "Ġsent ence", + "oun ter", + "Ġassist ance", + "ev in", + "Ġdat abase", + "Ġbuild ings", + "Ġclass ic", + "Ġth inks", + "ĠOh io", + "P r", + "ug g", + "Ġfe e", + "p an", + "Ġeffect ively", + "Ġfac ility", + "Ġbe ar", + "Ġch apter", + "Ġdog s", + "ĠCol umb", + "Ġl atter", + "it ial", + "Ġad mitted", + "T V", + "ĠGe org", + "Ġpost s", + "\\ \\", + "Ġlawy er", + "Ġequ ival", + "Ġm and", + "Ġcontro lled", + "ĠW alk", + "ĠAnd rew", + "Ġmen u", + "am ental", + "Ġprotect ed", + "v a", + "Ġadminist r", + "or al", + "Ġre in", + "ĠS ar", + "Ġamount s", + "Ġn ative", + "ĠM oon", + "Ġrep resents", + "Ġab andon", + "Ġcarry ing", + "Ġt ank", + "m ary", + "Ġdecl ared", + "T ube", + "Ġh at", + "Ġpun ish", + "el lect", + "m es", + "Ġun iverse", + "ĠR od", + "ph y", + "Ġinf rastructure", + "Ġ5 1", + "Ġopp osed", + "ow nt", + "c a", + "ĠM ake", + "Ġhard ware", + "Ġco ffee", + "R el", + "b al", + "w orld", + "ĠS af", + "ĠSe a", + "in als", + "Ġown ed", + "Ġh all", + "ers ion", + "Ġdescrib e", + "ĠP ot", + "Ġport ion", + "Ġat mosp", + "Ġgovern ments", + "Ġdep ending", + "Ġoff ense", + "Ġtr ick", + "aw a", + "ĠL ine", + "ĠV is", + "ĠH ard", + "ĠOr ig", + "ĠCl ick", + "Ġdes k", + "ĠVal ley", + "ĠS ov", + "Ġmov ies", + "Ġrem ark", + "Ġm ail", + "Ġcons cious", + "Ġrul ing", + "ĠR ights", + "Ġmed ic", + "he nt", + "ĠW omen", + "> <", + "Ġrepl aced", + "ĠP rem", + "ĠTh anks", + "Ġre new", + "ĠB all", + "if orm", + "Ġsh ots", + "C omm", + "Ġar med", + "Ġconst ant", + "Ġt aste", + "Ġreal ized", + "Ġbu ff", + "Ġm o", + "Ġeffic ient", + "M ost", + "or ation", + "if ies", + "Ġcommun ication", + "Ġfl ood", + "Ġconsequ ences", + "Ġany way", + "ig g", + "ĠG M", + "ĠTh ank", + "Ġ iron", + "Ġev olution", + "ĠC op", + "tw itter", + "Ġ9 5", + "Ġrelationship s", + "ad el", + "ĠYou ng", + "Ġpropos al", + "ay ers", + "uild ing", + "ĠH ot", + "OR E", + "c os", + "Ġcoll abor", + "P G", + "ax y", + "Ġknow ing", + "Ġsupport s", + "ow ed", + "Ġcontrol s", + "Ġmere ly", + "um er", + "Ġath let", + "Ġf ashion", + "p ath", + "Ġg ift", + "Ġer a", + "AN D", + "Ġkind s", + "ĠKore an", + "Ġleg it", + "ul ous", + "Ġess entially", + "Ġthe rap", + "n ic", + "Ġsuff ered", + "Ġh ur", + "Ġprom ise", + "Ġex cess", + "Ġover w", + "Ġpr ime", + "ĠH ouston", + "er ry", + "ĠM s", + "R S", + "201 2", + "Ġst ores", + "ĠO lymp", + "Ġj ourney", + "Al though", + "S ub", + "ĠE duc", + "ĠCh apter", + "Ġrequest s", + "Ġconsum ers", + "Ġt iny", + "Ġis ol", + "ĠF air", + "b a", + "ĠY OU", + "Ġcr ash", + "ce ler", + "Ġemot ional", + "Ġgood s", + "Ġelect ed", + "Ġmod er", + "ĠLin ux", + "Ġbl ocks", + "Ġis land", + "ĠSoc iety", + "Ġelect ions", + "Ġbroad cast", + "Ġche ap", + "Ġn ations", + "Ġse asons", + "4 00", + "Ġwas te", + "ĠS at", + "Ġfield s", + "em ploy", + "Ġprof ile", + "Ġauth ors", + "AL L", + "ĠG ra", + "w est", + "ĠT y", + "Ġdeath s", + "Ġv acc", + "Ġfor med", + "Ġd u", + "Ġon going", + "ĠMuslim s", + "el f", + "ig ure", + "Ġass ume", + "ĠUkrain e", + "w ater", + "Ġco ast", + "Ġvot ed", + "g or", + "ĠA S", + "ĠMich igan", + "az a", + "ĠAr m", + "i ro", + "Ġf lex", + "as ters", + "' '", + "Ġwel come", + "ar l", + "Ġloc ations", + "ig ation", + "ĠF il", + "Ġbu ying", + "Ġarch itect", + "Ġhard er", + "ĠC ub", + "Ġinter face", + "Ġrestaur ant", + "Ġdisco ver", + "Ġex ceed", + "Ġfav our", + "ger y", + "Ġd uty", + "Ġp itch", + "ad or", + "ĠM ach", + "b oy", + "Ġrespond ed", + "Ġext ended", + "her s", + "M any", + "ra id", + "if er", + "ĠIn s", + "S er", + "Ġmed ium", + "s he", + "ĠS ports", + "Ġmag azine", + "ut ation", + "Ġlim its", + "ĠG all", + "Ġex ternal", + "raz il", + "Ġyoung er", + "t le", + "Ġrem ind", + "ĠC ON", + "Ġimmedi ate", + "Ġh idden", + "Ġvol unte", + "Ġsim pl", + "od cast", + "Ġph ase", + "d r", + "Ġpl ot", + "Ġexp osure", + "R I", + "og rap", + "v in", + "an ish", + "ĠAc ad", + "ĠEng ine", + "Ġexp ansion", + "ĠP ay", + "Y our", + "Ġpus hed", + "ĠE ll", + "ĠHe ad", + "Ġmarket ing", + "ĠA C", + "k et", + "Ġh its", + "Ġg ro", + "ĠA ge", + "ĠSc ot", + "] [", + "Ġst im", + "Ġi Phone", + "Ī Ĵ", + "Ġn arrow", + "ĠGet ty", + "ĠTur key", + "Ġperfect ly", + "Ġen able", + "ut ch", + "Ġprec ise", + "Ġreg ime", + "Ġsh if", + "Ġcomp ens", + "g un", + "d iv", + "Ġch osen", + "ĠK en", + "An y", + "Ġtre es", + "Ġrecomm ended", + "ĠR en", + "u able", + "ĠH T", + "F ollow", + "E G", + "ĠH and", + "ĠK enn", + "Ġarg uments", + "Ġex ists", + "Ġb ike", + "ĠCons erv", + "Ġbre aking", + "ĠG ar", + "Ġc razy", + "Ġvirt ual", + "ay lor", + "ix el", + "Ġ19 80", + "Ġper mission", + "ĠSer ies", + "Ġconsum er", + "Ġclose ly", + "c alled", + "Ġ5 4", + "Ġhop es", + "Ġar ray", + "ĠW in", + "ĠLab our", + "Ġsp ons", + "ĠI re", + "Ġp ow", + "Ġread ers", + "Ġemploy ment", + "Ġcreat ure", + "Ġresult ing", + "Ġaccur ate", + "Ġmom ents", + "Ġarg ued", + "Ġp ed", + "D uring", + "Ġ5 3", + "ĠT al", + "Ġs ought", + "Ġsuff ering", + "Ġ icon", + "le e", + "Ġ( $", + "al ian", + " °", + "Ġp ra", + "Ġbon us", + "( \"", + "k o", + "Ġact ing", + "D E", + "f all", + "Ġcompar ison", + "Ġsm ooth", + "ĠN AS", + "u pp", + "ĠJose ph", + "ep ing", + "ĠT ake", + "ĠM id", + "Ġs ending", + "f ast", + "ĠF all", + "Ġdeal ing", + "us er", + "ĠOr gan", + "C o", + "Ġatt ached", + "Ġse es", + "% .", + "Ġtyp ical", + "AR T", + "Ġfind s", + "ĠAs ia", + "um in", + "ĠC ore", + "ĠE nt", + "in ent", + "u ce", + "ĠBl ood", + "ĠN ever", + "Ġem ails", + "Ġhigh light", + "Ġconf ront", + "at us", + "ut ed", + "Ġun us", + "Ġtop ic", + "ĠAd am", + "Ġb le", + "at i", + "Ġunder stood", + "S et", + "st ruct", + "T P", + "Ġm ob", + "a a", + "ĠSt art", + "pect ed", + "se ll", + "Ġded icated", + "ĠC A", + "u an", + "Ġsong s", + "esc ription", + "Ġte ch", + "Ġr ape", + "Ġas ide", + "Ġgr ant", + "Ġ5 6", + "s ub", + "Ġarg ue", + "Ġcont aining", + "Ġsche dule", + "Ġliber al", + "Ġpublic ly", + "Ġheav ily", + "ĠU t", + "in er", + "ĠS ection", + "ĠC are", + "we et", + "l s", + "D is", + "âĶ Ģ", + "ĠF ollow", + "B ack", + "ĠI T", + "Ġb es", + "j i", + "ĠH it", + "est ed", + "Ġevery body", + "ĠSw ed", + "Ġfem in", + "Ġfac ilities", + "Ġcon ven", + "C omp", + "ĠO S", + "c ore", + "Ġan x", + "Ġdiv ision", + "ĠC am", + "ĠSt an", + "m ates", + "Ġexpl ore", + "pl om", + "Ġsh ares", + "pl oad", + "an es", + "Ġide al", + "et ers", + "ĠB ase", + "Ġpl astic", + "Ġdist inct", + "ĠNet work", + "ĠSe attle", + "Ġtrad ing", + "ens us", + "int end", + "Ġex hib", + "Ġinit ially", + "ĠF ood", + "Ġthous and", + "ĠBus iness", + "act er", + "Ġpar agraph", + "Ġrough ly", + "Ġw ww", + "Ġcreat ive", + "ĠCon f", + "Ġconsum ption", + "Ġfil ms", + "ag an", + "Ġob tain", + "Ġt all", + "Ġt or", + "Ġacknow led", + "Ġg rown", + "al o", + "K E", + "Ġ4 00", + "end ers", + "t aining", + "U G", + "Ġsu icide", + "Ġwat ched", + "ĠL ist", + "al i", + "re hens", + "Ġsurround ing", + "Ġp ip", + "Ġf lying", + "ĠJ ava", + "ord an", + "Ġserv ing", + "in ations", + "p ost", + "Ġsh o", + "A v", + "Ġj ail", + "z y", + "Ġ199 9", + "Ġ< /", + "Ġliter ally", + "ĠS ir", + "Ġexp osed", + "Ġl ies", + "st ar", + "Ġb at", + "Ġear ned", + "ĠD ig", + "Ġspec ified", + "ĠSe ason", + "Ġdeg rees", + "Don ald", + "Ġcent re", + "Ġsh aring", + "Ġwin ter", + "ĠC O", + "C he", + "Ġ Î", + "M P", + "Ġun w", + "Ġfew er", + "ĠM ir", + "Ġsomew here", + "ĠK ey", + "Ġattack ed", + "ĠK ir", + "Ġdom ain", + "Ġstrong er", + "Ġ9 9", + "Ġpen alty", + "I d", + "Sc ript", + "Ġdecl ined", + "Ġne ck", + "Ġfra ud", + "Ġcur rency", + "Ġr ising", + "R C", + "âĢ¦ âĢ¦", + "H z", + "Ġt ab", + "Ġtal ent", + "n am", + "ĠN BA", + "Ġvill age", + "Ġleg s", + "ĠN ext", + "E d", + "Ġac id", + "Ġhy d", + "8 00", + "Ġinvol ving", + "ĠIm age", + "ĠBe fore", + "F l", + "Ġyes terday", + "S ource", + "Ġterror ist", + "Ġsu p", + "Ġsy nt", + "ĠSaud i", + "Ġw est", + "Ġr u", + "b urg", + "Ġvis ible", + "Ġstru ck", + "r ison", + "Ġaw esome", + "Ġd rawn", + "Ġansw ers", + "ĠG irl", + "ĠR am", + "Ġthreat s", + "Ġdef eat", + "os it", + "Ġv ent", + "atur ally", + "Americ an", + "end a", + "ĠH oly", + "Ġr um", + "% ,", + "c ase", + "ĠHist ory", + "ĠYou Tube", + "Ġsit uations", + "ĠD NA", + "S te", + "Ġsa ved", + "It em", + "Ġrec ip", + "olog ist", + "Ġfac ed", + "Ġel ig", + "O nce", + "ĠL i", + "u h", + "Ġmist ake", + "ĠDiv ision", + "ĠB ell", + "Ġsympt oms", + " ®", + "Ġdom in", + "Ġfall ing", + "Ġend ing", + "as hes", + "Ġmat ches", + "ĠOn line", + "Ġexplan ation", + "D ef", + "red it", + "Ġany more", + "ĠT otal", + "ĠF OR", + "us hed", + "Ġlet ters", + "Ġris ks", + "ĠO K", + "Ġreported ly", + ": \\", + "Ġpl ate", + "Ġsubject s", + "Ġattempt ed", + "if ier", + "ian a", + "Ġunlike ly", + "ĠTh ough", + "um a", + "ĠIn vest", + "ĠPr in", + "ic an", + "ĠD ar", + "ĠColor ado", + "au g", + "Ġve get", + "a os", + "ri a", + "Ġshe l", + "Ġmark ed", + "Ġ( )", + "Ġsp r", + "p o", + "ĠL ink", + "Ġdef e", + "ĠJ r", + "Ġthem e", + "Ġpass ion", + "ĠP en", + "Ġinf o", + "iz er", + "Ġsh it", + "ĠC ivil", + "ap se", + "c re", + "Ġpo ly", + "Ġcomp onent", + "ĠChar les", + "ĠIre land", + "ĠPro v", + "Ġdo ctors", + "Ġgr anted", + "Ġpain t", + "Ġhon or", + "Ġsm oke", + "Ġpay ments", + "Ġprim arily", + "ĠKing dom", + "r ich", + "ate ll", + "Ġde als", + "Ġsched uled", + "Ġfund amental", + "Ġprote in", + "Ġnewsp aper", + "Ġcl ients", + "yth on", + "ĠD ate", + "h us", + "Ġfeed back", + "Ġstret ch", + "Ġc ock", + "Ġhot el", + "ĠQue en", + "Ġsu gar", + "Ġj u", + "Ġmil k", + "Ġappro val", + "ĠL ive", + "Ġequival ent", + "ef ully", + "Ġins ert", + "z ona", + "Ġext ension", + "d ri", + "J ohn", + "Ġacc omp", + "S m", + "ĠF und", + "Ġconst antly", + "Ġ` `", + "Ġgener ated", + "ĠA ction", + "ĠP sych", + "ĠT ri", + "Ġrecogn ize", + "Ġv ary", + "ph a", + "ĠR a", + "d f", + "et ch", + "ĠSov iet", + "Tw o", + "Ġpattern s", + "Ġprof ession", + "an ing", + "T ime", + "ĠL im", + "Ġcol ors", + "ĠA z", + "ĠT R", + "Ġinf ect", + "Ġphen omen", + "Ġshe ll", + "Al so", + "Ġput s", + "Ġdel ivery", + "Ġbro wn", + "Ġprocess ing", + "Ġlight s", + "ess age", + "ĠBro ok", + "ĠA ud", + "l ation", + "Ġindust rial", + "L ike", + "ĠB razil", + "rou s", + "ES S", + "ĠL uc", + "Ġsome how", + "Ġ8 5", + "Ġpro port", + "Ġpolit icians", + "Ġindic ate", + "Ġh ole", + "Ġtechn iques", + "Ġcompet itive", + "Ġph r", + "Ġv o", + "ist ent", + "ĠD ream", + "Ġcamp us", + "Ġaspect s", + "Ġhelp ful", + "Ġsh ield", + "or se", + "Ġtrig ger", + "m al", + "Ġ5 8", + "Ġt ort", + "Ġperson ally", + "Ġt ag", + "Ġkeep s", + "ĠV ideo", + "Ġben ch", + "Ġg ap", + "a ire", + "Ġe ast", + "Ġrec overy", + "per ial", + "Ġprof it", + "ĠM ic", + "Ġ5 7", + "Ġcol on", + "Ġstrong ly", + "st yle", + "Ġalleg ations", + "h an", + "Ġrep orters", + "j o", + "r ine", + "arg et", + "and al", + "Ġ0 3", + "Ġfl ash", + "tr ans", + "Ġstr ict", + "Ġpark ing", + "ĠPak istan", + "Ġl i", + "Ġwe ird", + "ĠE ric", + "Ġreg ions", + "ĠJ un", + "Ġint ellect", + "ĠW H", + "od ing", + "rib utes", + "up id", + "ĠT it", + "Ġf inger", + "or ia", + "Ġe lev", + "ĠF ield", + "Ġcon clusion", + "; ;", + "Ġfeel ings", + "Ġext ensive", + "Ġm ixed", + "Ġne uro", + "v y", + "Ġhar ass", + "ĠC irc", + "ou ch", + "Ġterrit ory", + "Ġsuccess fully", + "M ar", + "Ġing red", + "Ġoverw hel", + "Ġl ayer", + "V iew", + "Ġall ies", + "ill ance", + "ĠTh ree", + "Ġb unch", + "Ġnorm ally", + "Ġnet works", + "Ġsac r", + "ĠC IA", + "b les", + "Ġch ose", + "Ġopp onents", + "Ġregard less", + "Ġfr anch", + "Ġpre f", + "ĠP o", + "Ġbr idge", + "ann a", + "ĠSil ver", + "Ġw age", + "p age", + "ri or", + "Ġrad ical", + "ĠL ittle", + "Ġman ip", + "Ġsecret ary", + "Ġg ang", + "D R", + "F A", + "Ġdec ent", + "ĠSp irit", + "Ġun cle", + "ĠDevelop ment", + "Ġinvest ors", + "Ġwall s", + "Ġpub lish", + "Ġgener ate", + "iss ions", + "c ar", + "Ġprom ote", + "Ġcut ting", + "Ġche st", + "Ġdrink ing", + "Ġcollect ed", + "Ġ7 2", + "Ġhop ing", + "Ġem br", + "gor ith", + "Ġwar ned", + "Ġinstruct ions", + "O G", + "ĠD id", + "ĠAg ency", + "Ġg ear", + "Ġcritic ism", + "ĠF urther", + "Ġut il", + "ann y", + "R ed", + "Ġcoun sel", + "ĠAs ian", + "Ġredu ction", + "p ool", + "Ġteach ing", + "Ġdeep ly", + "i y", + "Ġestim ates", + "Ġcho ices", + "Ġperman ent", + "in em", + "ke l", + "Ġf asc", + "p se", + "f ile", + "ĠL ow", + "ĠP erson", + "Ġt ournament", + "st al", + "Ġm el", + "U ST", + "ĠR ay", + "az i", + "V al", + "Ġcont ained", + "ĠH olly", + "Ġw ake", + "Ġreve al", + "Ġprocess es", + "ĠIS IS", + "Ġ0 9", + "Ġbl ind", + "Ġste el", + "ĠB ad", + "Ġcare fully", + "app y", + "ro it", + "Ġg aming", + "Ġhous es", + "ĠC oll", + "Ġtr uck", + "er m", + "Ġsc ored", + "Ġocc as", + "ret urn", + "b ound", + "v ar", + "Ġsh arp", + "Ġaf raid", + "ĠE X", + "am ber", + "c ific", + "Ġsche me", + "N C", + "ĠPol it", + "Ġdecl ine", + "Ġ199 8", + "Ġpus hing", + "Ġposs ession", + "Ġpriv ile", + "Ġteacher s", + "Ġy ield", + "H A", + "ĠDav is", + "it led", + "#### ####", + "Ġr ig", + "ĠD aniel", + "ac on", + "Ġh ide", + "ut en", + "Ġcolle agues", + "Ġprin ciples", + "Ġl oud", + "Ġs in", + "ĠDem on", + "Ġst one", + "Ġ0 2", + "Ġt aught", + "Ġter rible", + "Ġst uck", + "ĠPol icy", + "te en", + "Ġimplement ation", + "ĠB BC", + "ĠAP I", + "Ġwhe el", + "all as", + "Ġch ampions", + "ol ars", + "play er", + "Ġrepeated ly", + "ĠSt ill", + "Ġlik es", + "ast y", + "es ter", + "ĠCath olic", + "R L", + "Ġb ath", + "Ġno ise", + "t itle", + "Ġn orthern", + "P art", + "Ġmag n", + "Ġf ab", + "ĠAs h", + "Ġdis pl", + "Ġtick et", + "Ġm urd", + "Ġalong side", + "ĠMus ic", + "Ġr iver", + "ĠSte el", + "ĠC L", + "ĠPl ayer", + "ĠM ult", + "ow ing", + "re p", + "s ize", + "Ġt ur", + "ĠGeorg ia", + "isc al", + "ra ction", + "Ġc able", + "Ġ5 9", + "Ġw ins", + "Ġup coming", + "Ġsurv ive", + "Ġins pired", + "ĠEduc ation", + "Ġstat istics", + "ĠF oot", + "iam i", + "Ġy ellow", + "ĠP age", + ". -", + "ĠH as", + "Ġur ban", + "Ġa x", + "es sel", + "\\ \"", + "Ġquarter back", + "Ġreg ister", + "ĠLab or", + "Ġab ilities", + "ĠF amily", + "Ġvar iable", + "ĠPr ice", + "Ġcont em", + "Ġth in", + "ĠE qu", + "d ata", + "Ġg otten", + "Ġconst it", + "Ġas ks", + "Ġt ail", + "Ġexc iting", + "ĠE ffect", + "ĠSp anish", + "Ġencour age", + "ins on", + "ĠA h", + "Ġcommit ment", + "C S", + "Ġr ally", + "Ġ: :", + "Ġsubs id", + "Ġsp in", + "Ġcapt ured", + "201 8", + "Ġinn oc", + "Ġalleged ly", + "ĠC ome", + "Ġart ists", + "ĠN umber", + "Ġelect ronic", + "Ġreg ional", + "ap es", + "Ġw ra", + "Ġmy th", + "pr ise", + "ĠM iller", + "ĠC reat", + "ĠEp isode", + "b ell", + "Ġdirect ed", + "Ġext ract", + "Ġs orry", + "Ġv ice", + "ag ger", + "ĠSu pport", + "Ġ6 6", + "ĠI ron", + "Ġwonder ful", + "Ġg ra", + "N et", + "ion e", + "E ng", + "Ġsh ips", + "ik es", + "ĠK evin", + "it ar", + "Ġactiv ists", + "tr ue", + "ĠAri zona", + "ent h", + "ĠDes pite", + "ĠS E", + "Ġha bit", + "ern el", + "Ġin qu", + "Ġab ortion", + "Ġv oid", + "Ġexpl icit", + "Ġeng aged", + "Ġang ry", + "Ġr ating", + "Ġfr ag", + "b ro", + "ick ing", + "d ev", + "Ġwor ried", + "Ġob ser", + "Ġap artment", + "ĠG T", + "Ġest ate", + "ĠConst itution", + "em on", + "ĠS now", + "Ġcount y", + "Ġdis ag", + "ĠStep hen", + "Ġimm igrants", + "w ind", + "ĠN ations", + "Ġfol ks", + "O ut", + "Ġg all", + "Ġtarget ed", + "Ġst ead", + "ĠB on", + "ĠL ib", + "Ġinform ed", + "Ġ12 0", + "ch ain", + "idel ines", + "or ough", + "Ġdri ven", + "Ġregular ly", + "Ġbas ket", + "Ġprinc iple", + "oc ument", + "Ġst un", + "ib ilities", + "ĠRom an", + "ĠAb out", + "Ġal ert", + "Ġdemocr acy", + "Ġrepresent ed", + "H S", + "c ers", + "p arent", + "Ar t", + "p ack", + "Ġdi plom", + "re ts", + "ĠN O", + "Ġcapt ure", + "ĠAd v", + "Ħ ¢", + "Ġannounce ment", + "ĠL ear", + "Ġh ook", + "Ġpur s", + "ĠS uch", + "ĠC amer", + "Ġrefuge es", + "ĠV e", + "P ol", + "Ġrecogn ized", + "l ib", + "Ġhad n", + "A ss", + "Ġpil ot", + "us hing", + "Ġreturn ing", + "Ġtra il", + "ĠSt one", + "Ġrout ine", + "Ġcour ts", + "Ġdes per", + "Ġfriend ly", + "ĠIt aly", + "Ġpl ed", + "Ġbreat h", + "Ġstud io", + "N S", + "Ġimp ressive", + "ĠAfghan istan", + "Ġf ing", + "Ġd ownt", + "ink ing", + "ĠR og", + "i ary", + "col or", + "se x", + "ar on", + "Ġf ault", + "ĠN ick", + "D own", + "ĠR ose", + "ĠS outhern", + "X X", + "is odes", + "L ist", + "6 00", + "Ġout come", + "er r", + "Ġelse where", + "Ġret ire", + "Ġp ounds", + "ĠGl obal", + "Pe ople", + "Ġcommun ications", + "Ġlo an", + "Ġrat io", + "ĠEm pire", + "Ġg onna", + "Ġinv ent", + "D F", + "Ġ19 70", + "ĠComm on", + "p at", + "Ġprom ised", + "Ġd inner", + "ĠH om", + "Ġcreat es", + "Ġoper ate", + "ver ty", + "ĠJ ordan", + "et ime", + "Ġsust ain", + "R eg", + "Ġincred ible", + "im a", + "Ġwar rant", + "Ġm m", + "A tt", + "Ġlaw suit", + "Ġreview s", + "it ure", + "ĠS ource", + "l ights", + "ĠF ord", + "Ġ6 3", + "g roup", + "st ore", + "Ġfeat ured", + "Ġfore ver", + "Ġpo verty", + "ĠP op", + "ĠC NN", + "az z", + "ab is", + "ach ing", + "Ġl aid", + "ĠSu pp", + "Ġfil ter", + "en a", + "ĠCommun ity", + "Ġcreat ures", + "u ction", + "ĠR oyal", + "Ġassoci ation", + "ĠCon nect", + "ĠBr ad", + "âĸ Ī", + "l ers", + "the re", + "ĠG i", + "Ġval uable", + "AC K", + "ĠT aylor", + "Ġl iquid", + "ĠAtt orney", + "ĠCar l", + "ĠF inal", + "ag a", + "ĠWil son", + "B ecause", + "ĠProf essor", + "ak a", + "Ġincred ibly", + "r ance", + "! )", + "R ef", + "s k", + "Ġsol utions", + "Ġatmosp here", + "Ġbl ame", + "um es", + "ĠN ob", + "C A", + "um ps", + "r ical", + "ĠPut in", + "ĠD est", + "or ic", + "ĠP A", + "Ġrespect ively", + "w an", + "Ġfif th", + "â Ħ¢", + "ĠC ry", + "Ġgovern or", + "res ident", + "Ġpurch ased", + "Ġh ack", + "Ġint ense", + "ob s", + "Ġorig in", + "Ġdef ine", + "Ġcare ful", + "** *", + "Ġshould er", + "Cl ick", + "Ġt ied", + "Ġdest ruction", + "ou red", + "Ġno body", + "Ġh o", + "ĠEx per", + "Ġt ip", + "\" ;", + "Ġtechn ique", + "Ġj ur", + "ĠP ok", + "b ow", + "Ġleg end", + "Ġacc ord", + "Ġbus y", + "ĠInt el", + "Ġh ang", + "ak i", + ". ]", + "âĢĶâĢĶ âĢĶâĢĶ", + "Ġsur gery", + "Ġrep rodu", + "Ġun iform", + "Ġscen es", + "c ode", + "Ġ6 2", + "l isher", + "ĠH ave", + "ph ia", + "Ġcry pt", + "Ġrec on", + "Ġsc ream", + "Ġadop ted", + "Ġsc ores", + "N e", + "ĠIt alian", + "in cluding", + "B O", + "Ġindic ated", + "Ġent ertain", + "G u", + "T ext", + "i el", + "Ġtw enty", + "Ġeng age", + "off s", + "ĠPac ific", + "Ġsm ile", + "Ġperson nel", + "Ġto ler", + "Ġdo ors", + "Ġt one", + "Ġmach ines", + "Ġent ering", + "ten ance", + "C O", + "ĠJer sey", + "Ġfore st", + "Ġhor se", + "Ġcompl aint", + "ĠSpr ing", + "y o", + "ĠPl us", + "ed ing", + "ĠRet urn", + "qu arters", + "ial s", + "c ow", + "Ġacad emic", + "Ġf ruit", + "Ġ199 6", + "og ether", + "Ġw ine", + "Ġpur su", + "ĠSte ven", + "Ġlic ens", + "Wh o", + "Ġclot hes", + "re ction", + "Ġsqu ad", + "Ġst able", + "Ġr aw", + "z ens", + "St ar", + "ut ies", + "anc er", + "Ġke ys", + "ĠM u", + "Ġcompl icated", + "ig er", + "ĠTe xt", + "Ġabs or", + "Ġ6 8", + "Ġfun ny", + "Ġrel ief", + "ĠL ew", + "ĠC ook", + "Ġch art", + "Ġdraw ing", + "G E", + "Ġmod ule", + "ĠB ull", + "I LL", + "Ġs alt", + "0000 0000", + "il le", + "Ġres ource", + "aw ay", + "adel phia", + "ĠB ru", + "Ġ6 7", + "Ġsome body", + "Ġparticip ate", + "Ġro se", + "we red", + "Ġmus cle", + "Ġcons ent", + "Ġcontin uing", + "ĠGuard ian", + "ĠOr der", + "reg on", + "Ġre ar", + "Ġprov ision", + "Ġlik ed", + "ri ent", + "Ġb ra", + "Tr ans", + "Ġmeet ings", + "Ġto x", + "Ġcon vent", + "Ġaut o", + "Ġrec ording", + "ĠSo ft", + "00 1", + "ĠR oll", + "Ġprogram ming", + "Ġp ic", + "Ġprov ed", + "Ġst ab", + "ĠA st", + "Ġca ption", + "ul ating", + "ĠAtt ack", + "Ġnew ly", + "Ġ199 7", + "f r", + "Ġdis cipl", + "ĠGree k", + "Ġed ition", + "ĠDo es", + "ĠB ox", + "if le", + "ack et", + "Ġpass es", + "Ġgu est", + "Ġac celer", + "it als", + "U D", + "Ġaut hent", + "ĠR est", + "ov al", + "t a", + "u ine", + "Ġarm or", + "ĠT own", + "Ġcomp at", + "Ġinc hes", + "Des pite", + "Ġass ign", + "he rent", + "Ġprep are", + "ĠM eg", + "oc key", + "Ġdep ends", + "Ġtrack s", + "w atch", + "Ġl ists", + "ĠN orthern", + "Ġal ter", + "re c", + "ĠE astern", + "Ġcond em", + "Ġevery where", + "? '", + "Ġaff ili", + "Ġf ought", + "\": {\"", + "Ġm ac", + "it arian", + "Ġsc ope", + "ĠA L", + "aw s", + "ar ms", + "Ġqu e", + "Ġenjoy ed", + "nes ota", + "Ġagg ressive", + "ĠSt ory", + "ĠI V", + "Ġrec ipe", + "Ġrare ly", + "ĠMed ical", + "val ue", + "ang el", + "ay ing", + "omet hing", + "Ġsub section", + "Ġs outhern", + "Ġfrequ ency", + "re te", + "roll ed", + "ult s", + "ĠN ic", + "Ġbeh alf", + "Ġsequ ence", + "ab et", + "Ġcontrovers ial", + "Ġcomp rom", + "Ġwork er", + "Ġmain ly", + "Ġal gorith", + "ĠM ajor", + "or ce", + "g ender", + "Ġorgan ized", + "Ġf ake", + "Ġconclud ed", + "ĠE D", + "ĠEx ec", + "r age", + "Ġch ances", + "ber ry", + "ĠTr ad", + "Ġconfig uration", + "Ġwithd raw", + "Ġf ro", + "ud es", + "ĠBro ther", + "ĠB rian", + "Ġtri es", + "Ġsam ples", + "Ġb id", + "ĠGold en", + "Ġphot ograph", + "if est", + "ĠD O", + "ĠPar liament", + "******** ********", + "R em", + "Ġcont est", + "Ġsign ing", + "p x", + "ĠZ eal", + "âĶĢ âĶĢ", + "E ar", + "Ġex it", + "Be fore", + "ĠCor por", + "n ull", + "mon th", + "Ġrac ial", + "ott ed", + "ĠV eg", + "ĠRe uters", + "Ġsw ord", + "ps on", + "ĠRom ney", + "a ed", + "Ġt rib", + "Ġin ner", + "Ġprot ocol", + "ĠB i", + "ĠM iami", + "ever al", + "p ress", + "Ġsh ipping", + "ĠAm endment", + "ĠHow ard", + "con nect", + "ĠD isc", + "ĠJ ac", + "iam ond", + "ĠThere fore", + "s es", + "ĠPrin cess", + "ĠUS B", + "ĠAn th", + "Ġsurve illance", + "Ġap olog", + "Ġ6 1", + "ow a", + "Ġf ulf", + "j s", + "Ġl uck", + "ust ed", + "Ġ §", + "n i", + "Ġant icip", + "em an", + "Ġwin ner", + "Ġsil ver", + "ll a", + "ic ity", + "Ġunus ual", + "Ġcr ack", + "Ġt ies", + "e z", + "Ġpract ical", + "Ġprov ince", + "ĠPl ace", + "Ġprior ity", + "IC E", + "Ġdescrib es", + "Ġbr anch", + "F orm", + "ask a", + "miss ions", + "b i", + "Ġp orn", + "ĠTur k", + "Ġent hus", + "Ġf ighters", + "Ġ0 8", + "ĠDet roit", + "Ġfound ation", + "av id", + "A re", + "Ġjud gment", + "cl ing", + "Ġsol ve", + "ĠDes ign", + "W here", + "hes is", + "ĠT ro", + "a fter", + "Ġne utral", + "ĠPalestin ian", + "ĠHolly wood", + "Ġadv is", + "ĠN on", + "y es", + "ol is", + "Ġrep utation", + "Ġsm ell", + "Ġb read", + "ĠB ul", + "ĠBe ach", + "Ġclaim ing", + "Ġgen etic", + "Ġtechn ologies", + "Ġupgr ade", + "row s", + "Ġdevelop er", + "ĠJ osh", + "ĠDis ney", + "erv ed", + "ip al", + "Ġun ex", + "Ġbare ly", + "t hen", + "ĠP ub", + "Ġill ness", + "et ary", + "ĠB al", + "Ġp atch", + "Ġbut t", + "Ġst upid", + "ĠD og", + "ĠD allas", + "f ront", + "ie ce", + "Ġprot ests", + "Ġch at", + "oen ix", + "Ġw ing", + "Ġpar liament", + "Ġ7 7", + "ose xual", + "Ġre nder", + "pt ions", + "ĠCo ast", + "os a", + "ĠG reg", + "h op", + "ĠMan agement", + "Ġbit coin", + "Ġrec over", + "Ġincor por", + "or ne", + "ĠUs ing", + "Ġpre ced", + "Ġthreat ened", + "Ġspirit ual", + "ĠE vent", + "ĠF red", + "Ġadvert ising", + "Ġimprove ments", + "ĠC ustom", + "Ġer rors", + "Ġsens itive", + "ĠN avy", + "Ġcre am", + "L ook", + "Ġex clusive", + "Ġcomp rehens", + "Ġde leg", + "Ġcon ce", + "Ġrem em", + "Ġstruct ures", + "Ġst ored", + "N D", + "Ġ1 000", + "U P", + "ĠB udd", + "A F", + "w oman", + "ĠAcad emy", + "ð Ł", + "se a", + "Ġtem porary", + "Ab out", + "es ters", + "Ġtick ets", + "Ġposs ess", + "in ch", + "o z", + "Ġl a", + "Ġcontract s", + "Ġun p", + "Ġc ig", + "ĠK at", + "ult ural", + "as m", + "Ġmount ain", + "ĠCapt ain", + "St ep", + "m aking", + "ĠSp ain", + "Ġequ ally", + "Ġl ands", + "at ers", + "Ġreject ed", + "er a", + "im m", + "ri x", + "C D", + "Ġtrans action", + "g ener", + "less ly", + "Ġ| |", + "Ġc os", + "ĠHen ry", + "Ġprov isions", + "Ġg ained", + "Ġdirect ory", + "Ġra ising", + "ĠS ep", + "ol en", + "ond er", + "Ġcon sole", + "in st", + "Ġb om", + "Ġunc ertain", + "1 50", + "ock ing", + "Ġmeas ured", + "Ġpl ain", + "Ġse ats", + "Ġd ict", + "S L", + "af e", + "Ġest imate", + "iz on", + "at hered", + "Ġcontribut ed", + "Ġep isodes", + "omm od", + "G r", + "AN T", + "Ġ6 9", + "G ener", + "Ġ2 50", + "vious ly", + "rog en", + "Ġterror ism", + "Ġmove ments", + "ent le", + "oun ce", + "ĠS oul", + "Ġpre v", + "ĠT able", + "act s", + "ri ors", + "t ab", + "Ġsuff er", + "Ġn erv", + "Ġmain stream", + "ĠW olf", + "Ġfranch ise", + "b at", + "Ġdem ands", + "Ġag enda", + "Ġdo zen", + "Ġclin ical", + "iz ard", + "ĠO p", + "t d", + "Ġvis ited", + "ĠPer haps", + "Ġact or", + "Ġde lic", + "Ġcont ribute", + "Ġin ject", + "ĠE s", + "ac co", + "Ġlist ening", + "Ġcon gress", + "epend ent", + "Ġprem ium", + "Ġ7 6", + "ĠIr ish", + "Ġass igned", + "ĠPh ys", + "Ġworld wide", + "Ġnarr ative", + "ot ype", + "m ont", + "b ase", + "ĠB owl", + "ĠAdminist ration", + "Ġrel ation", + "ĠE V", + "C P", + "Ġco vers", + "Ġ7 8", + "Ġcert ific", + "Ġgr ass", + "Ġ0 4", + "pir acy", + "ir a", + "Ġengine ering", + "ĠM ars", + "Ġun employ", + "ĠFore ign", + "st ract", + "Ġv en", + "Ġst eal", + "Ġrepl ied", + "Ġult imate", + "Ġtit les", + "d ated", + "Ġj oy", + "a us", + "Ġhy per", + "ak u", + "Ġoffic ially", + "ĠPro duct", + "Ġdifficult y", + "per or", + "Ġresult ed", + "rib ed", + "l ink", + "wh o", + "~~ ~~", + "ĠSpe ed", + "ĠV iet", + "W ind", + "ĠBar ack", + "Ġrestrict ions", + "ĠSh are", + "Ġ199 5", + "ition ally", + "Ġbeaut y", + "op t", + "Ġm aps", + "ĠC R", + "ĠN ation", + "ĠCru z", + "W ill", + "Ġelectric ity", + "Ġor g", + "Ġb urd", + "Ġviol ation", + "Ġus age", + "Ġper mit", + "ĠCh ron", + "ĠF ant", + "Ġn aturally", + "Ġ0 7", + "Ġth rown", + "ĠAw oken", + "Ġal ien", + "ĠHer o", + "ĠK ent", + "ĠR ick", + "ri ke", + "Ġp ace", + "}, {\"", + "G L", + "Ġpo ison", + "ĠT ower", + "Ġform al", + "al ysis", + "Ġgen uine", + "Ġk il", + "a ver", + "Ġproced ure", + "ĠPro p", + "intend o", + "ĠM ain", + "as ant", + "Ġtr ained", + "G ame", + "ĠL oad", + "ĠM A", + "Ġcru cial", + "Ġle ts", + "ĠF R", + "Ġch ampion", + "1 01", + "ĠCon ference", + "Ġwrit ers", + "Ġconnect ions", + "Ġo kay", + "ir ms", + "ĠR and", + "Ġenc ounter", + "ĠB uff", + "Ġachie ved", + "Ġche cks", + "isc ons", + "Ġassist ant", + "Ġwhen ever", + "ĠA ccess", + "ĠU r", + "b in", + "Ġcl ock", + "is p", + "op her", + "Ġb orrow", + "Ġm ad", + "Ġperson ality", + "on ly", + "IS T", + "ab ama", + "Ġg ains", + "Ġcommon ly", + "Ġter r", + "Ġhyp ot", + "Ġre ly", + "Ġt iss", + "iscons in", + "Ġrid ic", + "f unction", + "ĠO regon", + "Ġun com", + "r ating", + "el and", + "ĠN C", + "Ġm oon", + "ann on", + "Ġvulner able", + "ut ive", + "³³ ³³", + "ĠRad io", + "Ġw estern", + "se ct", + "ĠT ony", + "Ġocc urs", + "ĠO s", + "ĠH on", + "à Ń", + "Ġv essel", + "ĠScot land", + "Ġdiscrim ination", + "Ġsubsequ ent", + "st ring", + "Ġfant asy", + "ĠSh adow", + "Ġtest im", + "W E", + "it i", + "r as", + "Ġbo at", + "Ġmar ks", + "Ġord inary", + "Ġre n", + "Ġrepresent ative", + "Ġpet ition", + "Ġ7 3", + "Ġad venture", + "Ġign ore", + "ĠPhil adelphia", + "ĠS av", + "V P", + "Ġfact ory", + "Ġt asks", + "Ġdep ression", + "z ed", + "................ ................", + "ĠSt orm", + "Ġc ogn", + "Ġelig ible", + "Ġredu cing", + "v ia", + "Ġ0 5", + "Ġstri king", + "Ġdoll ar", + "h o", + "O V", + "Ġinstr ument", + "Ġphilosoph y", + "ĠMo ore", + "ĠA venue", + "Ġrul ed", + "ĠFr ont", + "IN E", + "ĠM ah", + "Ġscen ario", + "ĠNAS A", + "Ġen orm", + "Ġdeb ut", + "Ġte a", + "T oday", + "Ġabs ence", + "S im", + "Ġh am", + "le ep", + "Ġt ables", + "ĠHe art", + "M I", + "K e", + "re qu", + "V D", + "m ap", + "Ġchair man", + "Ġp ump", + "Ġrapid ly", + "v i", + "Ġsubstant ial", + "E P", + "d es", + "ch ant", + "ili pp", + "ĠS anta", + "ri ers", + "anche ster", + "L oad", + "ĠC ase", + "Ġsa ving", + "Ġ7 4", + "ĠA FP", + "er ning", + "oun ced", + "ĠMin nesota", + "ĠW as", + "Ġrec ru", + "Ġassess ment", + "ĠB ron", + "U E", + "Ġdynam ic", + "Ġf urn", + "ul ator", + "Ġprop ag", + "h igh", + "Ġacc ommod", + "Ġst ack", + "ĠS us", + "w rit", + "Ġre ven", + "ĠGod d", + "ĠZeal and", + "ab s", + "Ġbr ut", + "Ġper pet", + "h ot", + "Ġhard ly", + "ĠB urn", + "ãĤ ¹", + "Ġst y", + "Ġtrans actions", + "Ġg ate", + "Ġsc reens", + "Ġsub mitted", + "Ġ1 01", + "Ġlangu ages", + "ugh t", + "em en", + "Ġfall s", + "Ġc oc", + "Ĥ ¬", + "Ġstri kes", + "p a", + "Ġdel iber", + "ĠI M", + "Ġrel ax", + "ann els", + "ĠSen ator", + "Ġext rem", + "Ġ} ,", + "ĠDe b", + "Ġbe ll", + "Ġdis order", + "c ut", + "Ġi OS", + "Ġl ocked", + "Ġem issions", + "Ġshort ly", + "\" ]", + "ĠJud ge", + "ĠS ometimes", + "Ġr ival", + "Ġd ust", + "Ġreach ing", + "F ile", + "¯¯ ¯¯", + "ino is", + "ĠJ ason", + "Ġs atell", + "are t", + "Ġst ations", + "Ġag ric", + "ĠTechn ology", + "com es", + "ĠUn fortunately", + "ĠChild ren", + "Ġappl ies", + "ast ed", + "Ġan ger", + "ail ability", + "ĠDam age", + "Ġcomp are", + "ĠStand ard", + "Ġaim ed", + "ĠB a", + "angu age", + "Ġreg ulation", + "Ġj ury", + "Ġair port", + "Ġse ctions", + "ĠPr ince", + "em ed", + "Ġmedic ine", + "Ġh itting", + "Ġsp ark", + "ol ves", + "Ġad s", + "St ate", + "Ġfood s", + "Ġrepl acement", + "Ġch icken", + "Ġlow est", + "Ġmind s", + "Ġinvol ves", + "u i", + "Ġarr ang", + "Ġproced ures", + "ĠWh ich", + "ivers ary", + "Ġb ills", + "Ġimprove ment", + "Ġin ev", + "Ġexpect ations", + "Ġintellect ual", + "Ġsp aces", + "Ġmechan ism", + "2 50", + "bre ak", + "ĠZ e", + "ĠT enn", + "ĠB alt", + "Ġbar rel", + "Ġstat ic", + "man n", + "Pol ice", + "Ġt ips", + "Ġhand ling", + "c us", + "od ed", + "il ton", + "ir y", + "Ġjournal ists", + "our se", + "Ġcom ic", + "Ġnom ine", + "IT Y", + "Ġvers us", + "Ġlo op", + "Ġsur f", + "ĠInd ust", + "ĠHun ter", + "Ġbelief s", + "is an", + "Ġset up", + "Ġbre w", + "im age", + "Ġcomput ers", + "f ol", + "} ,\"", + "ĠMed al", + "Ġtax p", + "Ġdisplay ed", + "Ġg rav", + "Ġf iscal", + "M on", + "ĠMos cow", + "ĠK ong", + "ĠCent re", + "Ġcamer as", + "ĠMr s", + "ĠH ay", + "Ġa ver", + "ĠK elly", + "p y", + "Ġrequire ment", + "Ġent itled", + "omb ie", + "Ġsh adow", + "ag ic", + "ĠA k", + "Ġel ite", + "Ġdiv ided", + "Ġhead ing", + "Ġcop ies", + "Ġloss es", + "Ġv it", + "k ed", + "ĠB ry", + "Ġan s", + "ĠSte am", + "Ġrep orter", + "he im", + "ĠIt em", + "Ġsuper ior", + "d on", + "ere nt", + "à ¶", + "Ġtherap y", + "Ġpe ak", + "ĠMod el", + "Ġl ying", + "Ġg am", + "z er", + "r itten", + "Ġrespons es", + "Ġconsider ation", + "ĠB ible", + "Ġl oyal", + "Ġinst ant", + "Ġp m", + "ĠFore st", + "à ¼", + "Ġext end", + "Ġconv icted", + "Ġfound er", + "Ġconv in", + "ĠO ak", + "che ck", + "Ġsch olars", + "p ed", + "Ġover se", + "T op", + "c ount", + "ĠAr k", + " ·", + "Ġ0 6", + "ĠL A", + "m d", + "ĠLat in", + "im ental", + "ĠC PU", + "Ġsubst ance", + "Ġminor ity", + "Ġmanufact uring", + "E r", + "ocol ate", + "Ġatt ended", + "ĠMan ager", + "r ations", + "Ġappreci ate", + "om y", + "GB T", + "id ency", + "B L", + "Ġguarant ee", + "pos ition", + "Ġo cean", + "clud e", + "Ġhead ed", + "Ġt ape", + "Ġlo ose", + "Ġlog ic", + "Ġpro ven", + "Ġsp ir", + "Ġad mit", + "is a", + "Ġinvestig ate", + "Ġ199 4", + "sy lv", + "ĠL ost", + "c est", + "Ġ7 1", + "Ġrequest ed", + "Ġwind ows", + "ĠPok é", + "ĠWith out", + "M et", + "Ġbehavi our", + "Ġread er", + "Ġh ung", + "ĠKe ep", + "Ġro les", + "Ġimplement ed", + "Ġbl ank", + "Ġserv es", + "ĠJ ay", + "Ġc ited", + "ĠF riend", + "prof it", + "ap on", + "Ġrep air", + "it em", + "arr ass", + "Ġcrit ics", + "ad i", + "ĠF ather", + "Ġsh out", + "Ġf ool", + "Ġ8 8", + "Ġprodu cing", + "Ġl ib", + "Ġround s", + "Ġcirc le", + "Ġpre par", + "Ġsub mit", + "Ġn ic", + "mor row", + "ãĥ «", + "U nder", + "Ġv ital", + "ater n", + "Ġpass word", + "Ġpublic ation", + "Ġprom inent", + "Ġspeak s", + "Ġb ars", + "Ġde eper", + "ĠM ill", + "port ed", + "Ġw id", + "Ġbut ter", + "Ġsm oking", + "Ġindic ates", + "K ey", + "rop ri", + "ĠF ile", + "all ing", + "ast ing", + "ĠR us", + "Ġad j", + "Ġ7 9", + "av al", + "Ġpres um", + "bur gh", + "on ic", + "Ġf ur", + "Ġpoll s", + "ik a", + "Ġsecond ary", + "Ġmon ster", + "ig s", + "ĠCur rent", + "E vent", + "Ġowners hip", + "end ar", + "Ġarri ve", + "ĠT ax", + "Ġn ull", + "ĠPri v", + "Ġth ro", + "Ġk iss", + "c at", + "Ġup set", + "ang le", + "it ches", + "ect or", + "olog ists", + "ĠGal axy", + "Ġcor ruption", + "Ġh int", + "ent er", + "ĠH ospital", + "Ġgreat ly", + "Ġbeg un", + "es y", + "Ġso il", + "ĠAnt on", + "Ġmain tenance", + "ãĥ ©", + "Ġdo zens", + "Ġhuman ity", + "ĠAl abama", + "Ġr om", + "w orth", + "ap ing", + "sylv ania", + "l ah", + "Ġg athered", + "G A", + "Ġattack ing", + "f ound", + "ĠSqu are", + "Ġar bit", + "ict ions", + "ĠW isconsin", + "Ġd ance", + "ĠS aint", + "arch y", + "Ġbase ball", + "Ġcontribut ions", + "Ġliter ature", + "Ġex ha", + "per ty", + "t est", + "Ġb ab", + "Ġcontain er", + "let ter", + "Ġfall en", + "Ġwebs ites", + "Ġbott le", + "ĠS ac", + "Ġbre ast", + "ĠP L", + "Ġveter an", + "Ġinterview s", + "ĠA le", + "Ġb anned", + "eng ers", + "ĠRev olution", + "in th", + "Ġconc erning", + "IV E", + "Ġexp enses", + "ĠMatt hew", + "ĠColumb ia", + "d s", + "ist ance", + "Ġent ity", + ".. .\"", + "Ġrel iable", + "Ġpar alle", + "ĠChrist ians", + "Ġopin ions", + "Ġin du", + "l ow", + "Ġcompet e", + "Ġth orough", + "Ġemploy ed", + "Ġestablish ment", + "ig en", + "ĠC ro", + "Ġlawy ers", + "ĠSt ation", + "T E", + "ĠL ind", + "ĠP ur", + "it ary", + "Ġeffic iency", + "âĢ IJ", + "ĠL y", + "Ġm ask", + "Ġdis aster", + "Ġag es", + "ER E", + "es is", + "ĠH old", + "Ġcas ual", + "b led", + "Ġen abled", + "ĠEn vironment", + "ĠInt elligence", + "i per", + "ĠM ap", + "ĠB E", + "Ġemer ged", + "is dom", + "Ġc abin", + "Ġregist ration", + "Ġfing ers", + "Ġro ster", + "Ġfram ework", + "ĠDo ctor", + "et ts", + "Ġtransport ation", + "Ġaware ness", + "H er", + "Ġattempt ing", + "O ff", + "ĠSt ore", + "ÃĥÃĤÃĥÃĤ ÃĥÃĤÃĥÃĤ", + "ĠK now", + "Ġdef ence", + "Ġsc an", + "ĠT en", + "ĠCh air", + "ĠP H", + "ĠAtl anta", + "Ġfuck ing", + "Ġans wered", + "b n", + "ĠK ar", + "Ġcateg ories", + "Ġr ational", + "Ġc ust", + "Ġrob ot", + "Ġcorrect ly", + "Ġg if", + "Ġgraph ics", + "m ic", + "Ġground s", + "ĠO pp", + "i ate", + "Ġdist ributed", + "Ġsan ctions", + "Ġchalleng ing", + "ut o", + "Ġingred ients", + "Ġinv ited", + "Ġfound ed", + "ĠRe qu", + "d ed", + "Ġb owl", + "Ġbrother s", + "ĠH a", + "I O", + "Ġw ages", + "im ore", + "oc ial", + "Ġse ed", + "ative ly", + "Ġaddress es", + "ĠI owa", + "ab eth", + "Ġatt itude", + "is d", + "ch ild", + "Ġm ole", + "Ġdisco very", + "y ard", + "B r", + "Ġ8 2", + "Ġsuppl ies", + "ell ing", + "Ġdist ingu", + "C R", + "Ġre cept", + "Ġ vert", + "Ġsw im", + "b ec", + "d oor", + "ĠY eah", + "Ġg al", + "Ġinter act", + "ĠE SP", + "ĠC S", + "amp s", + "Ġconvin ced", + "Ġobject ive", + "Ġdis h", + "ĠPhot os", + "l ad", + "Ġdownt own", + "o il", + "in ction", + "Ġto morrow", + "ĠC OM", + "Ġsurv ival", + "sh ot", + "Ġsett lement", + "C ons", + "ĠX box", + "int erest", + "ĠS M", + "arg o", + "en ess", + "Ġeth nic", + "b ered", + "M in", + "ĠT ok", + "Ġinc ent", + "ĠComm and", + "Ġmain tained", + "Ġbreak s", + "br idge", + "at ar", + "ag g", + "ĠF inally", + "un icip", + "ĠO nt", + "le ft", + "Ġrecogn ition", + "Ġ* /", + "ĠP ers", + "Ġwe lf", + "Ġaddress ed", + "ĠK ansas", + "Ġvir us", + "Ġwhere as", + "Ġp apers", + "ram s", + "ĠMin istry", + "Ġple asure", + "Ġacqu ired", + "Ġd uration", + "j pg", + "Ġcal m", + "ĠN HL", + "Ġburn ing", + "Ġfold er", + "ick ed", + "ĠP y", + "ĠIll inois", + "Cl ass", + "ĠGodd ess", + "Ġperform ing", + "Ġwelf are", + "j ar", + "In ter", + "Ġl in", + "Ġenh ance", + "Ġnot ion", + "f are", + "yp es", + "ĠAre a", + "Ġcann abis", + "ĠDie go", + "f s", + "ĠM anchester", + "com m", + "in ite", + "Ġcover ing", + "ĠS ound", + "Ġ19 60", + "Ġ8 4", + "e lect", + "z ing", + "Ġcitiz en", + "Ġph ones", + "Ġr aid", + "Ġign ored", + "ĠOb ject", + "Ġu pload", + "c ard", + "Ġmod ified", + "Ġroom s", + "ia h", + "r ange", + "he ast", + "ach us", + "Ġsuggest ing", + "âĢ ĭ", + "gr ade", + "E l", + "Ġclot hing", + "Ġr h", + "ĠH an", + "un ity", + "en cing", + "ĠAust in", + "sec ution", + "t ra", + "d em", + "ĠQ ual", + "Ġhe aven", + "Ġst ages", + "Ġw edd", + "pl us", + "ific ial", + "ĠIm m", + "ĠH o", + "iet ies", + "Ġphr ase", + "Ġbr ill", + "act ory", + "Ġprov iders", + "Ġsil ence", + "Ġa er", + "ĠA I", + "ĠAd venture", + "Ġplatform s", + "Ġdemonstr ated", + "Ġinter f", + "ing ton", + "Ġr aces", + "Ġgr ade", + "ult ane", + "ĠTh rough", + "f alse", + "Ġb ow", + "ĠA B", + "Ġfl avor", + "Ġhistor ic", + "g ov", + "Ġcol our", + "Ġview ed", + "ĠEm ail", + "el come", + "Ġinter vention", + "Ġd iversity", + "Ġperiod s", + "Ġre verse", + "ĠV ery", + "Ġqu ote", + "ĠLe ft", + "th rough", + "Ġsc rew", + "Ġland ing", + "Ġp ill", + "Ġw et", + "Ġprot esters", + "Ġrepe at", + "av ed", + "er k", + "Ġsal ary", + "ĠPenn sylvania", + "St ill", + "Ġmay or", + "Ġkit chen", + "Ġfeat uring", + "ĠM useum", + "ĠT ournament", + "ĠF al", + "Ġser vers", + "U C", + "Ġany body", + "im g", + "ĠTr ade", + "ixt ure", + "the less", + "Ġfin ance", + "Ġcl osing", + "ĠPat ri", + "i ac", + "ab el", + "Ġ> >", + "or ous", + "Ġf irms", + "sc reen", + "un a", + "Ġemb arrass", + "ul se", + "Ġlet ting", + "Ġth rew", + "ile y", + "Ġch annels", + "l an", + "ĠVeg as", + "Ġse ar", + "Ġfant astic", + "ar re", + "uzz le", + "ĠD er", + "Th ose", + "Ġsw ing", + "Ġshe et", + "ind ex", + "co ver", + "og an", + "Ġvari ables", + "ĠTe ch", + "Ġsp oken", + "ac hel", + "ĠD a", + "ĠMount ain", + "Ġload ed", + "Ġfoot age", + "vers ion", + "Ġun l", + "ĠPh oenix", + "Ġthrow ing", + "Ġf iring", + "Ġtrack ing", + "Ġw idth", + "Ġstrugg ling", + "ro oms", + "ot ion", + "Ġmonth ly", + "ĠSer ver", + "Ġegg s", + "op en", + "M C", + "Ġ199 3", + "Ġh ired", + "Ġstay ed", + "ĠAll en", + "Ġst ro", + "Ġ9 8", + "st ep", + "ĠTurk ish", + "Ġfab ric", + "ist ing", + "ĠD om", + "Ġd ates", + "Ġpr on", + "Ġbasket ball", + "Ġl ucky", + "ĠArab ia", + "Ġassum ed", + "est y", + "Ġaff airs", + "Ġgl ad", + "ĠInd eed", + "ĠF A", + "ĠW ord", + "Ġjo ining", + "if ice", + "p read", + "ir ts", + "ĠSe lect", + "Ġpop ulations", + "aw are", + "Ġn ose", + "Ġcompl aints", + "st art", + "Ġsc oring", + "Th anks", + "Ġmin ing", + "Ġvisit ors", + "S H", + "Ġdam aged", + "Ġcharacter istics", + "ĠP ent", + "D C", + "Ġ8 3", + "ĠS ix", + "r ates", + "Ġfl ags", + "ĠB rew", + "d og", + "M ark", + "// //", + "Ġexec ution", + "Ġj oke", + "ph ones", + "Ġtestim ony", + "Ġob st", + "Q L", + "ĠC ut", + "Ġstud ied", + "ĠN intendo", + "ick et", + "ĠN BC", + "Ġl ad", + "ĠB ra", + "ĠM oh", + "Ġk ernel", + "Ġoverwhel ming", + "Ġag ed", + "Ġapplic able", + "ĠC ond", + "Ġroad s", + "ĠBl ock", + "m ade", + "od ge", + "Ġcomm ands", + "Ġoff ices", + "vel and", + "Ġt ut", + "Ġrece iver", + "ĠF ro", + "Ġsho pping", + "Ġi P", + "ĠSt re", + "ĠA BC", + "Ġentertain ment", + "ĠB ow", + "ort ed", + "M c", + "Ġread s", + "gr ad", + "ĠCol lect", + "Ġâ ĪĴ", + "ĠCap ital", + "eder ation", + "Ġemploy er", + "Ġinvolve ment", + "Ġanx iety", + "al ia", + "Ġro of", + "ĠAm ong", + "ĠDemocr at", + "Ġstat s", + "ĠV ill", + "Ġconst itutional", + "Ġrefer ring", + "itt y", + "Ġtack le", + "out ube", + "Ġback ed", + "ĠH ong", + "ĠBro ad", + "Ġe le", + "ĠO tt", + "Ġ199 2", + "h our", + "achus etts", + "C al", + "Ġdefe ated", + "Ġ8 1", + "es p", + "Ġseem ingly", + "w as", + "ĠJ enn", + "ĠK urd", + "Ġg ene", + "Ġdisc ount", + "R et", + "EC T", + "( );", + "Ġclub s", + "Ġs id", + "ĠM arsh", + "Che ck", + "Ġp p", + "ĠE ag", + "ides pread", + "Ġbe ings", + "F T", + "Ġintrodu ction", + "ĠCh ange", + "AR D", + "Ġ1 10", + "ad ows", + "ier ce", + "Ġme al", + "a uthor", + "ĠB ang", + "lah oma", + "Ġr anks", + "201 1", + "?? ??", + "m ax", + "Ġcoll apse", + "Ġop ens", + "Ġe cho", + "Ġs oph", + "Ġrac ist", + "Ġenorm ous", + "Ġw aves", + "Ġt ap", + "Ġcomprehens ive", + ". --", + "ĠR oy", + "Ġfarm ers", + "Rel ated", + "a ired", + "ron es", + "ĠC rim", + "Ġproport ion", + "Ġdesign s", + "Ġnegoti ations", + "Ġvirt ually", + "ĠBat man", + "Ġwar n", + "Ġlegit imate", + "m ate", + "Ġcon vention", + ", ,", + "net ic", + "ĠS D", + "Ġconsist ently", + "Ġcompens ation", + "Ġpunish ment", + "Ġy e", + "Ġt ie", + "ĠB ureau", + "ir lf", + "ĠB u", + "ĠA ren", + "ĠPh ilipp", + "Ġkn ife", + "Ġmem ories", + "ĠR oss", + "Ġang le", + "Ġ8 6", + "ĠTh under", + "Ġre nd", + "ĠT our", + "Ġcount s", + "s ung", + "ĠIm p", + "Ġeduc ational", + "Ġaccess ible", + "C OM", + "Ġd rew", + "y er", + "G l", + "am ine", + "OR T", + "O B", + "I B", + "m aster", + "Ġtri als", + "og y", + "h ar", + "ĠTr ust", + "Ġprefer red", + "irlf riend", + "ĠN ev", + "Ġb in", + "Ġc ow", + "P age", + "Ġsign ature", + "ĠB L", + "7 00", + "Ġret ired", + "Ġby tes", + "Ġneigh b", + "ĠLeg end", + "Ġdev ast", + "Ġsuspect ed", + "is ons", + "ĠPoké mon", + "sc ale", + "Ġcap abilities", + "Ġre vel", + "Ġche ese", + "d y", + "igr ant", + "Ġfail ing", + "b its", + "ĠHer oes", + "ĠG host", + "ĠS cient", + "Ġappoint ed", + "ur i", + "Ġinst itution", + "Ġexpand ed", + "g reg", + "Ġmonitor ing", + "Ġp odcast", + "Ġcoal ition", + "Ġ9 6", + "J o", + "Ġst olen", + "ĠS ab", + "Ġstop s", + "Ġhol iday", + "Ġint r", + "C ar", + "Bl ack", + "ĠL GBT", + "Ġwar ming", + "ĠAnd erson", + "Ġ8 9", + "Ġprodu cer", + "M ed", + "Ġaccur acy", + "ĠMar vel", + "iz abeth", + "ĠPat rick", + "m ony", + "Ġmin i", + "ac les", + "Ġover t", + "the y", + "Ġmembers hip", + "ĠV en", + "Ġex ch", + "Ġrem oval", + "ĠD ave", + "T Y", + "m ad", + "ĠF ind", + "Ġad equ", + "Ġe c", + "Ġte eth", + "Ġemot ion", + "Ġper m", + "Ġsole ly", + "d b", + "Ġextra ord", + "IG HT", + "c al", + "Ġgu idelines", + "Ġd ying", + "Ġsusp ended", + "ĠPrem ier", + "ĠAnth ony", + "el ve", + "Ġd ad", + "ĠE th", + "ĠFoot ball", + "Ġabandon ed", + "Ġ< <", + "Ġm arch", + "Ġhor ror", + "âĢ¦ \"", + "Ġchild hood", + "Ġcampaign s", + "Ġl unch", + "ĠAl bert", + "bl ock", + "âĸĪ âĸĪ", + "ound ing", + "Ġb one", + "or gan", + "ad ers", + "ĠFl ash", + "ĠDri ve", + "Ġton ight", + "Ġw ars", + "ĠF L", + "Ġform ation", + "con st", + "New s", + "Ġcom pe", + "or ious", + "ĠSt aff", + "Ġdiscuss ions", + "ĠProt ection", + "ĠJ am", + "Ġcrit eria", + "Ġinstall ation", + "Ġaccompl ish", + "iz za", + "Ġpub lisher", + "Ġresc ue", + "ĠT ry", + "U LL", + "ĠS om", + "ĠH op", + "ore t", + "th s", + "ord on", + "Ġp ocket", + "ĠIn v", + "Down load", + "ĠCr ime", + "Ġb ene", + "ĠGu ide", + "ĠAs sembly", + "Ġparam eters", + "I E", + "ĠAlex ander", + "Ġconc ert", + "ĠSc he", + "Ġsh oes", + "Ġvis iting", + "Ġrec all", + "Ġb ub", + "Ġr ural", + "Ġconc rete", + "ĠR os", + "N ext", + "R uss", + "Ġlo ans", + "ĠSh ield", + "Ġtre m", + "hem at", + "k g", + "ĠHar ris", + "is ition", + "ĠM ove", + "ĠF C", + "Ġf ate", + "ĠCh o", + "Ġt ired", + "Ġprinc ipal", + "h ist", + "ien ces", + "ath y", + "Ġse vent", + "Ġm ood", + "Ġstrateg ic", + "Ġdise ases", + "Ġfor um", + "Ġtem por", + "Ġhead quarters", + "P ar", + "ig e", + "fl ix", + "Ġgu itar", + "Ġ9 4", + "On ly", + "Ġrele ases", + "ro ph", + "================ ================", + "Ġ6 00", + "ĠContin ue", + "ig ate", + "ĠC rit", + "sy stem", + "Ġdis abled", + "Ġunex pected", + "ith ub", + "Ġuncle ar", + "ĠE st", + "Ġcontr ad", + "Ġstrateg ies", + "vent ures", + "Ġpass age", + "AM E", + "Ġimpro ving", + "Ġreve als", + "Ġdecre ase", + "ov a", + "Ġann oy", + "ĠSh ort", + "ĠL ibrary", + "Ġcy ber", + "n ell", + "ĠH ur", + "ĠC B", + "Ġphot ograp", + "U I", + "Ġs ed", + "G e", + "Ġ8 7", + "Ġd iverse", + "Ġencour aged", + "Ġcons piracy", + "Ġbird s", + "Ġoper ator", + "Ġhand ful", + "Ġclass ified", + "? )", + "Ġdram atic", + "Ġinvestig ators", + "it o", + "Ġw idespread", + "ĠR oom", + "-------------------------------- --------------------------------", + "Ġcollect ive", + "Ġjournal ist", + "St ring", + "Ġtemper atures", + "il a", + "Ġgu id", + "Ġins pect", + "Ġmiss ile", + "ĠMay or", + "Ġman ual", + "Ġsim ultane", + "Ġrat ings", + "Ġsu ck", + "Ġ9 7", + "Ġunivers al", + "Ġph arm", + "Ġdis rupt", + "ian o", + "A V", + "Ġf t", + "Ġstat ist", + "old s", + "ĠWalk er", + "ph p", + "Ġunder t", + "ĠL as", + "ish op", + "nt il", + "res hold", + "ĠWhe ther", + "M s", + "Ġden y", + "ĠCl oud", + "Ġprov ider", + "Ġsurv iv", + "ĠUp date", + "h as", + "Ġmist akes", + "ch arge", + "pl ed", + "r ity", + "Ġn ode", + "ĠMass achusetts", + "ool s", + "lic ation", + "Ġf ails", + "em ale", + "or i", + "back s", + "Ġsh irt", + "Ġ' '", + "ĠN AT", + "Ġwat ers", + "els on", + "Ġe ase", + "Ġsc ar", + "Ġcont ents", + "m ind", + "Ġcont ribution", + "Ġsh r", + "Ġhand ed", + "Ġst ability", + "Ġtra ve", + "E m", + "Ġmir ror", + "12 3", + "Ġwe igh", + "Ġf iction", + "ou ver", + "ist ant", + "r ition", + "ĠF ed", + "Ġphys ically", + "Ġst ake", + "ĠArt icle", + "ĠAr c", + "ĠLew is", + "ĠM ind", + "Ġdemonstr ate", + "Ġprof its", + "v ision", + "om ic", + "ol id", + "Ġbatt les", + "Ġdri ves", + "Ġeas tern", + "ĠS ony", + "!! !", + "ar ation", + "v ard", + "ĠG L", + "port ation", + "Ġ9 2", + "Ġlaw makers", + "Ġprotect ing", + "ĠE PA", + "Ġy eah", + "Ġsh ame", + "ol ph", + "e ven", + "x it", + "Ġatt ach", + "Ġrepresent ing", + "Ġob s", + "ĠUt ah", + "iff s", + "ĠFre edom", + "à ³", + "A K", + "Ġinc idents", + "it age", + "Ġview ers", + "c d", + "Ġm ouse", + "Ġcl ar", + "Ġaccord ance", + "Ġb ot", + "c or", + "ĠSum mer", + "he ld", + "Ġinnoc ent", + "Ġiniti ative", + "ol s", + "________________ ________________", + "Ġsp ots", + "p ace", + "Ġconvent ional", + "Ġcorpor ations", + "Ġblock ed", + "H D", + "at tered", + "Ġref ers", + "Ġbu ck", + "ĠDig ital", + "12 0", + "Ġtop ics", + "T F", + "Ä ģ", + "br id", + "re ement", + "Ġunder lying", + "ĠM ember", + "Ġinvestig ating", + "Ġpregn ancy", + "Ġtouch down", + "ĠB and", + "ĠCall er", + "Ġinst ances", + "P P", + "w a", + "G ood", + "Ġ199 1", + "ĠC old", + "Ġfear s", + "Ġrem arks", + "Ĩ Ĵ", + "at al", + "Ġm it", + "Ġexper iments", + "i pt", + "Col or", + "ind u", + "Up date", + "Ġ9 3", + "A g", + "Ġ å", + "anc ouver", + "B oth", + "Ġjud ges", + "Ob ject", + "Ġst ere", + "umb n", + "Ġparticip ation", + "ĠSt ars", + "ĠJ ere", + "Ġweek ly", + "ĠB an", + "Ġconvers ations", + "ĠP itt", + "u z", + "ĠIndian a", + "ĠK ick", + "Ġinf ection", + "Ġhero es", + "Ġsett led", + "Ġstri p", + "Ġh al", + "Ġd ump", + "ĠS ci", + "Ġl es", + "Ġref erences", + "ĠU RL", + "ĠBr idge", + "Ġwant ing", + "For ce", + "Ġex clus", + "Me anwhile", + "m n", + "Ġg entle", + "m aker", + "sen al", + "ĠG ro", + "ou ri", + "ĠR ain", + "ĠAll iance", + "Ġl ift", + "el a", + "S D", + "ĠCle veland", + "Ġrank ed", + "Ġst adium", + "Ġdead ly", + "ä ¸", + "Ġr iding", + "ar ia", + "ĠAr mor", + "Ġdocument ation", + "ĠGree ce", + "ree k", + "Ġl ens", + "ĠS a", + "Ġg ross", + "ĠE mer", + "ag ers", + "ĠD ub", + "ĠR h", + "ĠAM D", + "Ġarri val", + "Ġdes ert", + "Ġsupp lement", + "ĠRes p", + "Ġkn ee", + "Ġmarg in", + "f ont", + "og g", + "201 0", + "ĠP ir", + "ĠP rom", + "iv als", + "Ġint ake", + "Ġdifferent ly", + "ug s", + "Ġb its", + "clud ed", + "Ġsearch ing", + "ĠD u", + "um ble", + "Ġfunction al", + "ĠBalt imore", + "ĠC ould", + "Ġdes ired", + "Ġcirc uit", + "ĠL yn", + "ĠG O", + "ĠF alse", + "re pre", + "' :", + "alt ies", + "Ġmin im", + "Ġdro ve", + "ĠSh ould", + "Ġh ip", + "Ġpro s", + "Ġut ility", + "ĠN ature", + "ĠM ode", + "P resident", + "o pp", + "r at", + "form ance", + "Ġconcent ration", + "Ġf ont", + "ĠB ud", + "Ġam id", + "Ġre vers", + "ĠM L", + "B ar", + "Ġinter action", + "Ġjur isd", + "Ġspell s", + "d ep", + "f il", + "Ġcivil ians", + "ut ter", + "ĠCo oper", + "ĠBel ow", + "Ġent rance", + "Ġcon vert", + "Ġcontrovers y", + "ow ered", + "Ġcontr ary", + "Ġar c", + "ĠExec utive", + "ĠOffic er", + "Ġpack ages", + "Ġprog ressive", + "w idth", + "Ġreserv ed", + "v ol", + "ĠSam sung", + "Ġprint ed", + "Ġcent ers", + "Ġintrodu ce", + "ĠKenn edy", + "Ġodd s", + "Ġsure ly", + "Ġindepend ence", + "Ġpass engers", + "repre ne", + "ĠBe h", + "Ġl oves", + "ĠESP N", + "Ġfac ilit", + "Ġident ical", + "Ġdo ct", + "Ġpartners hip", + "con f", + "ĠH ide", + "Ġconf used", + "ĠC ow", + "M en", + "Ġw rest", + "ĠIraq i", + "Ġh oles", + "ĠStud ies", + "Ġpregn ant", + "h ard", + "Ġsign als", + "I X", + "Ġpull ing", + "Ġgrad uate", + "Ġnomine e", + "D ate", + "Ġper mitted", + "Ġâ Ĥ¬", + "ĠOk lahoma", + "St art", + "Ġauthor ized", + "Ġal arm", + "ĠC os", + "v an", + "Ġgener ations", + "c ular", + "Ġdr agon", + "ĠSoft ware", + "ĠEd ward", + "Ġcontro ller", + "S en", + "ge red", + "ĠV ik", + "Ġappro ached", + "Th ank", + "Ġcan ce", + "Ġform ula", + "ĠSm all", + "Ġweak ness", + "Ġr amp", + "it udes", + "j ud", + "Ġbrill iant", + "Ġacc us", + "s ource", + "Ġ8 00", + "ĠE vil", + "S w", + "Ġhom eless", + "we ek", + "i ens", + "r ics", + "ĠTh ird", + "T O", + "Ġorgan ic", + "Ġpresent ation", + "ag h", + "ĠDown load", + "v ation", + "Ġas sembly", + "or able", + "hold ers", + "ĠBern ie", + "ĠHel p", + "Ġt ong", + "ĠF ight", + "Ġbe ach", + "B ook", + "ĠL ic", + "Ġr ush", + "ĠR ound", + "ou p", + "ĠMar x", + "Ġcalcul ated", + "ĠDe vil", + "ĠSar ah", + "Ġoccasion ally", + "Ġbul let", + "Av ailable", + "g ate", + "Ġ9 1", + "Ġh osp", + "Ġprom ises", + "ĠH IV", + "ĠSt adium", + "ĠSt ock", + "ĠCorpor ation", + "g age", + "N G", + "ĠC redit", + "Ġs ne", + "ib l", + "Ġacc um", + "s uch", + "Ġterror ists", + "Ġconscious ness", + "ĠZ h", + "Ġdram a", + "ool a", + "pir ation", + "Ġlab our", + "ĠN in", + "Ġut ter", + "Ġdemocr atic", + "Ġass ass", + "il ation", + "Ġg est", + "Ġab road", + "Ġmet ab", + "Ġs orts", + "Ġfl av", + "U B", + "Ġm g", + "ĠNot hing", + "ĠO d", + "Ġmus ical", + "200 9", + "Ġdro ps", + "oc ated", + "ater al", + "0000 00", + "Ġg re", + "Ġequ ality", + "Ġburd en", + "Ġv ig", + "ĠLe ader", + "-------- ----", + "Ġcere mony", + "Ġf ighter", + "Ġact ors", + "Ġ æ", + "am an", + "F i", + "Ġal ign", + "put er", + "Ġe lder", + "ĠN SA", + "Ġrepresent ation", + "ĠOnt ario", + "IT H", + "usal em", + "Ġharass ment", + "itz er", + "Ġsy mp", + "Ġbox es", + "ĠD R", + "Ġman ifest", + "at re", + "Ġ ^", + "Ġd ies", + "le ton", + "Ġmiss ions", + "et he", + "Ġres olve", + "Ġfollow ers", + "Ġas c", + "Ġk m", + "l ord", + "am med", + "Ġsil ent", + "ĠAssoci ated", + "Ġtim ing", + "Ġprison ers", + "ĠK ings", + "ĠF ive", + "Ġtow er", + "Ġappro aches", + "Ġprecise ly", + "Ġb ureau", + "ĠM other", + "ĠI ss", + "Ġkey board", + "it ual", + "Ġfund ed", + "Ġstay ing", + "Ġpsych ological", + "Ġm ile", + "ĠLe on", + "ĠBar b", + "w ill", + "Ġw ider", + "ĠAtl antic", + "Ġt ill", + "ĠR ome", + "ro t", + "Ġaccomp an", + "Ġfl our", + "ac o", + "W orld", + "ĠExp ress", + "ĠY u", + "C or", + "Ġple ased", + "part y", + "Ġpoint ing", + "Ġinf lation", + "Ġro y", + "Ġ ),", + "ain er", + "Ġwedd ing", + "orm on", + "Ġrequ iring", + "Ġqual ified", + "Ġse gment", + "EN D", + "Ġs izes", + "e als", + "Ġcor rupt", + "ass ador", + "Ġcele b", + "Ġdream s", + "ĠM ess", + "Ġcheck ing", + "ĠV ersion", + "Ġprep aring", + "Ġact ively", + "ĠD iff", + "Ġl ux", + "ĠW inter", + "act eria", + "ĠN E", + "Ġdep uty", + "Ġtrans gender", + "Ġsum mary", + "Ġin her", + "er ies", + "ch ar", + "ĠY an", + "Ġkn ock", + "ĠP ath", + "Ġl ip", + "roll er", + "Ġimp ression", + "Ġcelebr ate", + "Ġsl ide", + "Ġgu ests", + "Ġcl ip", + "F S", + "Ġsav ings", + "Ġcapt ain", + "Ġleg acy", + "ĠDen ver", + "Ġw ounded", + "tab oola", + "AC T", + "Ġpurs ue", + "Ġo xy", + "Ġ q", + "Ġsem i", + "ĠN eed", + "ĠAff airs", + "Ġob sc", + "Ġcheck ed", + "Ġd ual", + "C ode", + "ĠM D", + "le m", + "ult y", + "Ġ ©", + "ĠEl izabeth", + "Ġcent uries", + "ard ed", + "s rc", + "Ġev ident", + "enn is", + "at in", + "Ġunemploy ment", + "ĠMar io", + "Ġint im", + "Ch rist", + "Ġbi ological", + "Ġsold ier", + "ĠAdd ed", + "Ġm ath", + "ĠG il", + "Ġbi as", + "Ġd ating", + "ĠO cean", + "Ġm ice", + "M us", + "h ire", + "ĠT es", + "Ser ver", + "lim ited", + "S ize", + "Ġmet ers", + "Ġrock et", + "es see", + "Ġcertific ate", + "ĠIran ian", + "AS S", + "Ġgr id", + "D ec", + "Ġro lling", + "com mun", + "ĠSwed en", + "b ury", + "Ġtiss ue", + "Ġrac ism", + "ĠL ocal", + "Ġmyster y", + "Ġexam ine", + "Ġst em", + "Ġs its", + "Ġhop ed", + "ot ing", + "Ġdial ogue", + "Ġpers u", + "W atch", + "l ay", + "M AN", + "Ġch ronic", + "ĠPort land", + "mark et", + "ĠS EC", + "Ġparalle l", + "Ġsc andal", + "Ġcar ries", + "Ġphenomen on", + "h uman", + "ack er", + "ĠO x", + "Ġretire ment", + "tain ment", + "ov ie", + "ĠG ear", + "Ġd uties", + "Ġdo se", + "Ġsc roll", + "M B", + "in f", + "Ġsa uce", + "Ġland scape", + "red dit", + "ĠChampions hip", + "ĠRed dit", + "al id", + "Ġco in", + "Ġover s", + "Ġpost ing", + "ab out", + "Ġf el", + "and y", + "Ġb old", + "Ġfocus ing", + "e ffect", + "G R", + "Ġde emed", + "Ġrecommend ations", + "Ġste pped", + "Ġvot er", + "ĠDe ep", + "ĠInst agram", + "Ġmoder ate", + "ĠMary land", + "Ġrestrict ed", + "ĠM B", + "ĠCh all", + "Ġto b", + "Ġc ir", + "ĠO cc", + "ĠE ver", + "Ġcoll aps", + "IN FO", + "= -", + "ĠP ict", + "ĠAcc ount", + "n c", + "Ġo ught", + "Ġex port", + "Ġdr unk", + "( '", + "Ġw ise", + "ĠM ort", + "ne cess", + "Ġan cest", + "ĠInc re", + "Ġfrequ ent", + "m ir", + "Ġinterpret ation", + "Ġdepend ent", + "Ġco ins", + "ĠB ol", + "V ideo", + "ĠJust in", + "Ġfat al", + "Ġcook ing", + "Ġconf usion", + "ip her", + "Ġcust ody", + "ĠMor gan", + "om ach", + "ĠGovern or", + "Ġrestaur ants", + "el ing", + "Ġacknowled ged", + "Ġthe r", + "Ġgen es", + "ch ing", + "He y", + "Ġtact ics", + "ĠMex ican", + "Ġv end", + "Ġhe s", + "qu er", + "Ġnot ing", + "ĠCamer on", + "Ġtarget ing", + "ro ck", + "Ġcred its", + "Ġemot ions", + "Ġrepresent atives", + "new s", + "Ġlegisl ative", + "Ġrem oving", + "Ġtweet ed", + "ĠCar ter", + "ĠF ixed", + "Ġfor cing", + "Ġspeak er", + "Ġm ales", + "ĠViet nam", + "l ined", + "Ġconcept s", + "Ġvo ices", + "o ir", + "ĠT rib", + "W he", + "ĠJer usalem", + "ĠS ant", + "Ġc ul", + "Ġl ady", + "ĠHaw ai", + "Ġar ts", + "ĠIn n", + "ĠMach ine", + "ĠEm peror", + "Ġsl ot", + "g ly", + "ĠPro cess", + "II I", + "Ġathlet es", + "ĠTem ple", + "ĠRep resent", + "Ġpres c", + "Ġt ons", + "Ġgold en", + "Ġp unch", + "ĠG R", + "iver pool", + "Ġen act", + "Ġlob by", + "Ġm os", + "Ġpick ing", + "Ġlif etime", + "Ġcogn itive", + "E ach", + "z o", + "Ġd ub", + "Ġcons ists", + "ol n", + "Ġf estival", + "am ous", + "Ġint ellig", + "w ords", + "ĠSm art", + "Ġde le", + "Ġl apt", + "Ġmag ical", + "ĠS in", + "b us", + "ur ities", + "igh th", + "ĠRub y", + "ĠS ure", + "ol ving", + "Ġj un", + "O ST", + "Ġimp osed", + "Ġast ron", + "Ġcor rel", + "ĠN S", + "ĠK it", + "ĠF uture", + "b urn", + "Ġimm une", + "oc us", + "Ġcour ses", + "ĠSt ring", + "Ġle an", + "Ġg host", + "Ġout comes", + "Ġexp ense", + "Ġevery day", + "Ġaccept able", + "A h", + "Ġequ ipped", + "Ġor ange", + "F R", + "ĠD utch", + "Th ough", + "ĠR ank", + "Q U", + "ĠRober ts", + "wh at", + "re nd", + "Ġdisapp ear", + "Ġsp awn", + "ĠL am", + "o is", + "Ġdes erve", + "Ġmin imal", + "Ġnerv ous", + "ĠW ould", + "Ġro ok", + "ĠV ancouver", + "Ġres ign", + "sh ire", + "ĠW orks", + "ĠB uild", + "Ġafford able", + "ĠG ary", + "ĠAren a", + "Ġh anging", + "Ġimpl ications", + "ĠS ong", + "Ġmain taining", + "Ġgu ards", + "C ON", + "Ġder ived", + "Ġexecut ed", + "Ġthe ories", + "Ġqu oted", + "ĠAnd re", + "og a", + "sel ess", + "in fo", + "ĠBel g", + "Ġt ears", + "ĠSur v", + "Ġbirth day", + "ig ious", + "im mer", + "Ġspect rum", + "Ġarchitect ure", + "Ġrec ruit", + "arm a", + "T able", + "Ġmon sters", + "ĠG ov", + "Ġdest ination", + "Ġattract ive", + "Ġf oss", + "ĠMore over", + "Ġpres ents", + "TH E", + "Ġrep ly", + "pt on", + "Ġc um", + "Ġdel ight", + "Ġaffect s", + "Ġdon ations", + "ĠT oy", + "ĠH im", + "M ENT", + "Ġover come", + "it ched", + "ĠFant asy", + "ĠH at", + "ĠBe ast", + "b ott", + "Ġinvestig ations", + "R un", + "Ġhun ting", + "d i", + "f und", + "Ġs essions", + "est yle", + "Ġport ray", + "oid s", + "Y eah", + "Ġcommun icate", + "Ġcom edy", + "ĠY ang", + "Ġbel t", + "ĠMar ine", + "Ġpredict ed", + "Pl ay", + "Ġimportant ly", + "Ġremark able", + "Ġelim inate", + "D avid", + "Ġb ind", + "V ID", + "Ġadvoc ates", + "ĠG aza", + "im p", + "D B", + "ĠN a", + "ĠSim ilar", + "I ES", + "Ġchar ity", + "v as", + "m ath", + "Ġâ ĸ", + "ok er", + "nd um", + "Ġcap s", + "ĠH al", + "2 000", + "e an", + "Ġfle et", + "Ġrec re", + "R ight", + "Ġsleep ing", + "ij ing", + "k ind", + "Ġdesign ated", + "à ¤", + "Ġanim ation", + "ke e", + "ĠInt rodu", + "Ġ/ >", + "Ġdelay ed", + "Ġtrem end", + "Ġcur ious", + "U se", + "Ġle ct", + "d am", + "Ġinnov ation", + "ĠPoint s", + "Ġload ing", + "Ġdisp ute", + "ct ic", + "ird s", + "ĠB Y", + "Ġn urs", + "ĠVal ue", + "ION S", + "ĠH um", + "Ġtem plate", + "m ers", + "Ġappear ances", + "ĠEnter tainment", + "Ġtransl ation", + "Ġsa ke", + "Ġbene ath", + "Ġin hib", + "Ġe uro", + "abet es", + "Ġstud ying", + "ĠM as", + "Ġper ceived", + "Ġexam ined", + "Ġe ager", + "Ġco aches", + "Ġim per", + "ch i", + "Ġprodu ces", + "\" ).", + "ĠEvery one", + "Ġm unicip", + "Ġg irlfriend", + "Ġh ire", + "ĠV ice", + "Ġsu itable", + "op y", + "Ġin equ", + "ĠD uke", + "f ish", + "f irst", + "ĠO bs", + "Ġinter ior", + "ĠBru ce", + "ĠR y", + "Ġanal ys", + "Ġconsider able", + "Ġfore cast", + "Ġf ert", + "ors hip", + "ĠD rug", + "ĠA LL", + ": \"", + "th ur", + "ĠM ail", + "Ġball ot", + "Ġinst antly", + "ĠCh annel", + "Ġp icks", + "Ġ198 9", + "Ġt ent", + "ol i", + "Ġcivil ian", + "b ling", + "ell o", + "b u", + "Ġin ch", + "Ġlog o", + "Ġcooper ation", + "Ġwal ks", + "Ġinvest ments", + "Ġimp rison", + "ĠF estival", + "ĠK y", + "Ġleg ally", + "Ġg ri", + "ch arg", + "S l", + "Ġthreat ening", + "du ction", + "fl ow", + "Ġdismiss ed", + "ibr aries", + "c ap", + "e le", + "ĠMc G", + "ĠHar vard", + "ĠConserv ative", + "ĠC BS", + "p ng", + "Ġro ots", + "ĠH aving", + "umb led", + "ĠF un", + "\\ /", + "ĠS earch", + "ple x", + "Ġdiscuss ing", + "Ġcontin u", + "ĠT ai", + "ĠW ik", + "F ree", + "f it", + "Ġref use", + "Ġmanag ing", + "Ġsy nd", + "ip edia", + "w alk", + "Ġprofession als", + "Ġguid ance", + "Ġunivers ities", + "Ġas semb", + "unt u", + "F inally", + "AS E", + "ĠAut o", + "ĠH ad", + "Ġann iversary", + "L D", + "ĠD ur", + "ĠUlt imate", + "ih ad", + "pro duct", + "Ġtrans it", + "Ġrest ore", + "Ġexpl aining", + "Ġass et", + "Ġtransfer red", + "Ġbur st", + "ap olis", + "ĠMag azine", + "ĠC ra", + "ĠB R", + "gg ed", + "ĠH E", + "M ich", + "b et", + "ĠL ady", + "yl um", + "erv es", + "Ġme ets", + "wh ite", + "L og", + "Ġcorrespond ing", + "Ġins isted", + "G G", + "Ġsurround ed", + "Ġt ens", + "Ġl ane", + "Ġco inc", + "h ome", + "Ġexist ed", + "ect ed", + "ĠDou ble", + "lam m", + "Ġske pt", + "ex p", + "Ġper ception", + "ie v", + "ĠBe ing", + "o ft", + "Ġadop t", + ". :", + "] ;", + "Wind ows", + "Ġsatell ite", + "AS H", + "Ġinf ant", + "d escription", + "ĠMe anwhile", + "c m", + "oc a", + "ĠT reat", + "act or", + "Ġtob acco", + "ĠN orm", + "em ption", + "Ġfl esh", + "Ġj e", + "o op", + "ĠHe aven", + "Ġbe ating", + "an im", + "Ġgather ing", + "Ġcult iv", + "G O", + "ab e", + "ĠJon athan", + "ĠSaf ety", + "Ġbad ly", + "pro t", + "Ġcho osing", + "Ġcontact ed", + "Ġqu it", + "Ġdist ur", + "Ġst ir", + "Ġto ken", + "D et", + "ĠP a", + "Ġfunction ality", + "00 3", + "s ome", + "Ġlimit ations", + "Ġmet h", + "b uild", + "con fig", + "N T", + "re ll", + "ble m", + "ĠM om", + "Ġveter ans", + "ĠH u", + "Ġtrend s", + "are r", + "ĠG iven", + "ĠCa ption", + "m ay", + "AS T", + "Ġwond ering", + "ĠCl ark", + "n ormal", + "Ġsepar ated", + "Ġdes p", + "st ic", + "b rew", + "Ġrel ating", + "ĠN ik", + "ĠF arm", + "Ġenthus i", + "g ood", + "d eb", + "Ġactiv ist", + "Ġm art", + "Ġexplos ion", + "ĠEconom ic", + "L ink", + "Ġins ight", + "Ġconven ient", + "Ġcounter part", + "su pport", + "ĠV irt", + "ag en", + "ĠTenn essee", + "ĠSim on", + "ĠA ward", + "OC K", + "ĠF igure", + "Ġoverse as", + "Ġpr ide", + "ĠC as", + "n ote", + "m g", + "C urrent", + "Ġdispl ays", + "cont ent", + "Ġtravel ing", + "Ġhosp itals", + "ĠFin ancial", + "ĠP ast", + "Ġdefend ant", + "Ġstream ing", + "m ble", + "ĠBer lin", + "uk i", + "Ġdist ribut", + "Ġant ib", + "Ġch ocolate", + "ĠCast le", + "Ġinter rupt", + "ĠR ow", + "Ġconvers ion", + "Ġbug s", + "ĠR ather", + "li est", + "L Y", + "ĠJe an", + "com mon", + "ak h", + "Ġ1 30", + "ot ton", + "ĠDe an", + "Ġam endment", + "Ġgame play", + "ĠWar ren", + "od a", + "Ġhigh lights", + "Ġir re", + "ĠNAT O", + "Ġball s", + "Ġdemand ing", + "U RE", + "ĠL uke", + "F igure", + "st op", + "on ia", + "z one", + "iz ers", + "ĠW R", + "Ġaward ed", + "Ġregul atory", + "ĠH art", + "ĠS N", + "pl ing", + "Ġs our", + "ĠP ixel", + "us ive", + "Ġf et", + "ĠS ent", + "Ġautom atic", + "Ġf er", + "vern ment", + "ĠKh an", + "T ON", + "f ather", + "Ġextraord inary", + "th rop", + "ĠP ython", + "ĠG PU", + "Ġsex ually", + "Ġdesk top", + "it ivity", + "ĠAnton io", + "Ġo rient", + "Ġe ars", + "ob by", + "ous es", + "vertis ements", + "Ġmanufacture rs", + "ic ient", + "min ute", + "Ġconv iction", + "Ġg arden", + "p ublic", + "Ġsatisf ied", + "f old", + "O K", + "Ġin hab", + "ĠTh ink", + "Ġprogram me", + "Ġst omach", + "Ġcoord in", + "Ġh oly", + "Ġth reshold", + "Ġr het", + "Ġser ial", + "Ġemploy ers", + "ĠEvery thing", + "ra h", + "Ġb other", + "Ġbr ands", + "Val ue", + "ĠT ed", + "ĠPlan et", + "Ġp ink", + "ĠFurther more", + "s a", + "P E", + "re ck", + "ĠUS D", + "ot te", + "Ġ& &", + "Ġland ed", + "g ets", + "Ġprodu cers", + "Ġhealth care", + "Ġdomin ant", + "Ġdest ro", + "Ġam ended", + "ch ron", + "Ġf its", + "ĠSy d", + "ĠAuthor ity", + "AT CH", + "Ġfight s", + "ĠL LC", + "Ġ-- -", + "ĠCor p", + "Ġtox ic", + "spe cific", + "ĠC orn", + "ĠChe l", + "Ġtele phone", + "ĠP ant", + "Ġmyster ious", + "aun ch", + "od ox", + "med ia", + "Ġwitness es", + "ag u", + "Ġquestion ed", + "ĠBre xit", + "ĠRem ember", + "ene z", + "Ġend orse", + "iat ric", + "ĠId ent", + "Ġridic ulous", + "1 10", + "Ġpr ayer", + "Ġscient ist", + "Ġ19 50", + "ĠA qu", + "Ġunder ground", + "ĠU FC", + "m are", + "ĠL ater", + "w ich", + "Ġsubsc rib", + "Ġhost s", + "Ġer r", + "Ġgr ants", + "ant om", + "Ġsum mon", + "ear ly", + "ĠC lear", + "ĠPr im", + "Ġsusp ension", + "Ġguarant eed", + "app er", + "Ġr ice", + "ĠSe an", + "ĠSh in", + "Ġrefere ndum", + "Ġfl ed", + "r ust", + "Ġ3 60", + "ter y", + "Ġsh ocked", + "B R", + "ĠO il", + "ĠAll ah", + "Ġpart ly", + "Ġign or", + "Ġtrans mission", + "Ġhom osexual", + "ivers al", + "Ġhop efully", + "ãĤ ¤", + "Ġless on", + "L eg", + "Ġ ..", + "Y et", + "t able", + "app ropri", + "re tt", + "Ġbo ards", + "Ġincor rect", + "Ġb acteria", + "ar u", + "am ac", + "Ġsn ap", + ".' \"", + "Ġpar ad", + "t em", + "he art", + "Ġav ailability", + "Ġw isdom", + "Ġ( +", + "Ġpri est", + "ĠÂł ĠÂł", + "O pen", + "Ġsp an", + "Ġparam eter", + "Ġconv ince", + "Ġ( %)", + "r ac", + "Ġf o", + "Ġsafe ly", + "Ġconver ted", + "ĠOlymp ic", + "Ġres erve", + "Ġhe aling", + "ĠM ine", + "M ax", + "Ġin herent", + "ĠGra ham", + "Ġinteg rated", + "D em", + "Ġpip eline", + "Ġapp lying", + "Ġem bed", + "ĠCharl ie", + "Ġc ave", + "200 8", + "Ġcons ensus", + "Ġre wards", + "P al", + "ĠHT ML", + "Ġpopular ity", + "look ing", + "ĠSw ord", + "ĠAr ts", + "' )", + "Ġelect ron", + "clus ions", + "Ġinteg rity", + "Ġexclus ively", + "Ġgr ace", + "Ġtort ure", + "Ġburn ed", + "tw o", + "Ġ18 0", + "P rodu", + "Ġent reprene", + "raph ics", + "Ġg ym", + "ric ane", + "ĠT am", + "Ġadministr ative", + "Ġmanufacture r", + "Ġ vel", + "ĠN i", + "Ġisol ated", + "ĠMedic ine", + "Ġback up", + "Ġpromot ing", + "Ġcommand er", + "Ġfle e", + "ĠRus sell", + "Ġforg otten", + "ĠMiss ouri", + "Ġres idence", + "m ons", + "Ġrese mb", + "Ġw and", + "Ġmeaning ful", + "P T", + "Ġb ol", + "Ġhe lic", + "Ġwealth y", + "Ġr ifle", + "str ong", + "row ing", + "pl an", + "as ury", + "âĢ¦ .", + "Ġexpand ing", + "ĠHam ilton", + "Ġrece ives", + "S I", + "eat ures", + "ĠAn im", + "RE E", + "P ut", + "Ġbrief ly", + "ri ve", + "Ġstim ul", + "Ġ`` (", + "Ġ __", + "Ġch ip", + "Ġha z", + "Ġpri ze", + "ĠTh ings", + "AC E", + "ul in", + "d ict", + "ok u", + "Ġassoci ate", + "ock ets", + "y outube", + "St ory", + "ateg ory", + "Ġm ild", + "ail ing", + "ĠY e", + "O rig", + "ĠK a", + "or ig", + "Ġpropag anda", + "Ġan onymous", + "Ġstrugg led", + "Ġout rage", + "AT ED", + "ĠBe ijing", + "r ary", + "Ġle ather", + "Ġworld s", + "Ġbroad er", + "12 5", + "id al", + "ĠBet ter", + "Ġt ear", + "E xt", + "Ġpropos als", + "Ġit er", + "ĠSqu ad", + "Ġvol unt", + "m i", + "D id", + "ĠP u", + "p in", + "Ġspeak ers", + "Ġb orders", + "Ġfig ured", + "= '", + "Ġsimultane ously", + "aed a", + "Ġcharg ing", + "Ġur ged", + "Ġcon j", + "25 6", + "ĠG ordon", + "mer ce", + "Ġdocument ary", + "Sh are", + "it ol", + "ON E", + "ĠG arden", + "h att", + "ĠThom pson", + "ane ous", + "ap ore", + "Ġt anks", + "Ġless ons", + "tr ack", + "Ġout standing", + "Ġvolunte ers", + "Ġsp ray", + "Ġmanag ers", + "l arge", + "Ġcamp s", + "Ġart ificial", + "ĠR u", + "Ġb ags", + "th al", + "Ġcompat ible", + "ĠBl ade", + "Ġf ed", + "Ġarg ues", + "F I", + "Ġunf air", + "Ġcor n", + "Ġoff set", + "Ġdirect ions", + "Ġdisappoint ed", + "ĠCon vention", + "Ġview ing", + "M E", + "oc ity", + "Ġtown s", + "Ġlay ers", + "Ġro lled", + "Ġjump ed", + "Ġatt ribute", + "Ġun necess", + "inc oln", + "Ġsupp ose", + "ĠNet her", + "ch a", + "Ġbur ied", + "Ġsix th", + "B en", + "ress ing", + "OU R", + "Ġw ound", + "Ġcy cl", + "Ġmechan isms", + "Ġcongress ional", + "ĠE lement", + "Ġagre ements", + "Ġdec or", + "Ġclos est", + "ĠM it", + "Go ogle", + "} }", + "Ġm ixture", + "Ġflu id", + "S ign", + "ĠSch olar", + "Ġp ist", + "ask et", + "ab ling", + "Ġrac ing", + "he ro", + "ri el", + "ass y", + "Ġche aper", + "b en", + "Ġvert ical", + "amac are", + "ĠRead ing", + "g ments", + "Ġhelic op", + "Ġsacr ifice", + "ay a", + "p aren", + "V A", + "ĠL es", + "ĠStud io", + "Ġviol ations", + "ĠAn na", + "ac er", + "é ¾", + "ĠR at", + "ĠBe ck", + "ĠD ick", + "ĠA CT", + "Ġcomp osition", + "Ġtext ure", + "ĠO wn", + "Ġsmart phone", + "ĠN A", + "Ġfor b", + "im port", + "Ġdef ending", + "il st", + "re r", + "Ġo h", + "ĠJere my", + "Ġbank ing", + "cept ions", + "Ġrespect ive", + "/ .", + "Ġdr inks", + "ĠW i", + "Ġb ands", + "ĠL iverpool", + "Ġg rip", + "ĠB uy", + "Ġopen ly", + "Ġreview ed", + "per t", + "Ġver ify", + "ĠCo le", + "ĠW ales", + "M O", + "Ġun pre", + "Ġshel ter", + "ĠIm perial", + "Ġgu i", + "ĠD ak", + "Ġsuggest ions", + "Ġexplicit ly", + "Ġsl ave", + "Ġblock chain", + "Ġcompet ing", + "Ġprom ising", + "S ON", + "Ġsoc cer", + "Ġconst itution", + "4 29", + "Ġdist ract", + "ĠU ser", + "es ides", + "ĠMet hod", + "ĠTok yo", + "Ġaccompan ied", + "Cl ient", + "s ur", + "al og", + "Ġident ification", + "Ġinv asion", + "as ma", + "Ġindust ries", + "pp ers", + "Ġsub tle", + "ĠUn it", + "n atural", + "Ġsurv ived", + "Ġfl aw", + "ĺ ħ", + "ĠH oll", + "Ġdef icit", + "Ġtut orial", + "ĠCh ance", + "Ġarg uing", + "Ġcontem porary", + "Ġinteg ration", + "for ward", + "Ġt um", + "it is", + "Ġh iding", + "ĠD omin", + "ĠT an", + "ĠB uilding", + "ĠV in", + "Ġspokes person", + "ĠNot es", + "Ġemer ging", + "Ġprepar ation", + "Ġpro st", + "Ġsuspect s", + "Ġaut onom", + "D escription", + "Ġdeal t", + "ĠP ear", + "Ġstead y", + "Ġdecre ased", + "Ġso vere", + "ĠCl in", + "Ġgrad ually", + "ors es", + "ĠW AR", + "S erv", + "ãĤ ¢", + "h r", + "Ġd irty", + "ĠB arn", + "ĠB C", + "Ġd il", + "Ġcal endar", + "Ġcompl iance", + "Ġch amber", + "b b", + "Ġpass enger", + "ate ful", + "ĠT itle", + "ĠSyd ney", + "ĠG ot", + "Ġdark ness", + "Ġdef ect", + "Ġpack ed", + "ass ion", + "Ġgod s", + "Ġh arsh", + "IC K", + "le ans", + "Ġalgorith m", + "Ġoxy gen", + "Ġvis its", + "Ġbl ade", + "Ġkil omet", + "ĠKent ucky", + "Ġkill er", + "P ack", + "enn y", + "Ġdiv ine", + "Ġnom ination", + "be ing", + "Ġeng ines", + "Ġc ats", + "Ġbuff er", + "ĠPh ill", + "Ġtra ff", + "AG E", + "Ġtong ue", + "Ġrad iation", + "ere r", + "m em", + "ĠExpl icit", + "é¾ į", + "Ġcou ples", + "Ġphys ics", + "ĠMc K", + "Ġpolit ically", + "aw ks", + "ĠBl oom", + "Ġwor ship", + "e ger", + "ut er", + "ĠF O", + "Ġmat hemat", + "Ġsent enced", + "Ġdis k", + "ĠM arg", + "Ġ/ *", + "P I", + "Ġoption al", + "Ġbab ies", + "Ġse eds", + "ĠScott ish", + "Ġth y", + "] ]", + "ĠHit ler", + "P H", + "ng th", + "Ġrec overed", + "ing e", + "Ġpow der", + "Ġl ips", + "Ġdesign er", + "Ġdis orders", + "Ġcour age", + "Ġch aos", + "\" },{\"", + "Ġcar rier", + "b ably", + "H igh", + "ĠR T", + "es ity", + "l en", + "Ġrout es", + "u ating", + "F il", + "N OT", + "w all", + "s burgh", + "Ġeng aging", + "ĠJava Script", + "ore r", + "li hood", + "Ġun ions", + "ĠF ederation", + "ĠTes la", + "Ġcomple tion", + "ĠT a", + "Ġprivile ge", + "ĠOr ange", + "Ġne ur", + "paren cy", + "Ġb ones", + "Ġtit led", + "Ġprosecut ors", + "ĠM E", + "Ġengine er", + "ĠUn iverse", + "ĠH ig", + "n ie", + "o ard", + "Ġheart s", + "ĠG re", + "uss ion", + "Ġmin istry", + "Ġpen et", + "ĠN ut", + "ĠO w", + "ĠX P", + "in stein", + "Ġbul k", + "S ystem", + "ic ism", + "ĠMarket able", + "Ġpre val", + "Ġpost er", + "Ġatt ending", + "ur able", + "Ġlicens ed", + "ĠG h", + "et ry", + "ĠTrad able", + "Ġbl ast", + "à ¤", + "ĠTit an", + "ell ed", + "d ie", + "H ave", + "ĠFl ame", + "Ġprof ound", + "Ġparticip ating", + "Ġan ime", + "ĠE ss", + "Ġspec ify", + "Ġregard ed", + "ĠSpe ll", + "Ġs ons", + "own ed", + "Ġm erc", + "Ġexper imental", + "land o", + "h s", + "ĠDun geon", + "in os", + "Ġcomp ly", + "ĠSystem s", + "ar th", + "Ġse ized", + "l ocal", + "ĠGirl s", + "ud o", + "on ed", + "ĠF le", + "Ġconstruct ed", + "Ġhost ed", + "Ġsc ared", + "act ic", + "ĠIs lands", + "ĠM ORE", + "Ġbl ess", + "Ġblock ing", + "Ġch ips", + "Ġev ac", + "P s", + "Ġcorpor ation", + "Ġo x", + "Ġlight ing", + "Ġneighb ors", + "ĠU b", + "ar o", + "Ġbe ef", + "ĠU ber", + "F acebook", + "ar med", + "it ate", + "ĠR ating", + "ĠQu ick", + "Ġoccup ied", + "Ġaim s", + "ĠAdd itionally", + "ĠInt erest", + "Ġdram atically", + "Ġhe al", + "Ġpain ting", + "Ġengine ers", + "M M", + "ĠM ust", + "Ġquant ity", + "P aul", + "Ġearn ings", + "ĠPost s", + "st ra", + "ãĥ¼ ãĥ", + "Ġst ance", + "Ġdro pping", + "sc ript", + "Ġd ressed", + "M ake", + "Ġjust ify", + "ĠL td", + "Ġprompt ed", + "Ġscr ut", + "Ġspeed s", + "ĠGi ants", + "om er", + "ĠEd itor", + "Ġdescrib ing", + "ĠL ie", + "ment ed", + "Ġnow here", + "oc aly", + "Ġinst ruction", + "fort able", + "Ġent ities", + "Ġc m", + "ĠN atural", + "Ġinqu iry", + "Ġpress ed", + "iz ont", + "for ced", + "Ġra ises", + "ĠNet flix", + "ĠS ide", + "Ġout er", + "Ġamong st", + "im s", + "ows ki", + "Ġclim b", + "ne ver", + "Ġcomb ine", + "d ing", + "Ġcomp r", + "Ġsignific ance", + "Ġremem bered", + "ĠNev ada", + "ĠT el", + "ĠSc ar", + "ĠWar riors", + "ĠJ ane", + "Ġcou p", + "b as", + "Ġtermin al", + ", -", + "O H", + "Ġt ension", + "Ġw ings", + "ĠMy ster", + "�� ��", + "ĠUn like", + "val id", + "viron ments", + "ĠAl i", + "Ġn aked", + "book s", + "ĠM un", + "ĠG ulf", + "Ġd ensity", + "Ġdim in", + "Ġdesper ate", + "Ġpres idency", + "Ġ198 6", + "h y", + "IN D", + "Ġun lock", + "im ens", + "Ġhand led", + "ĠE b", + "Ġdisapp eared", + "Ġgen re", + "Ġ198 8", + "Ġdetermin ation", + "St ream", + "ik o", + "ap ters", + "Ġacknow ledge", + "J an", + "Ġcapital ism", + "P at", + "Ġ20 20", + "Ġpain ful", + "Ġcur ve", + "Ġbom bs", + "st orm", + "ĠMet al", + "en cer", + "ĠF ig", + "ĠA aron", + "anc hes", + "Ġins piration", + "Ġexha ust", + "t ains", + "ash i", + "Ġdesc ript", + "Ġr itual", + "ĠChel sea", + "Ġpromot ion", + "ĠH ung", + "ĠW ard", + "iv a", + "ĠE T", + "Ġto ss", + "all ow", + "ĠFranc is", + "D ep", + "Ġhapp iness", + "ĠGl ass", + "Ġbet a", + "Ġstreng then", + "N E", + "o a", + "Ġbutt ons", + "ĠMur ray", + "Ġkick ed", + "Qu est", + "ĠT alk", + "ĠS everal", + "ĠZ ero", + "Ġdr one", + "ul k", + "Ġc am", + "ĠM obile", + "Ġprevent ing", + "Ġret ro", + "ĠA x", + "Ġcru el", + "Ġflo at", + ". ),", + "Ġfil ing", + "ĠGr ant", + "ĠB or", + "Ġr ib", + "Ġchampions hip", + "ĠM erc", + "Ġsty les", + "Ġc ake", + "Ġbuild s", + "ĠS elf", + "io x", + "Ġep ic", + "oy d", + "B el", + "ĠSt ew", + ". (", + "ah u", + "ĠBe yond", + "Ġout s", + "Ġsol o", + "ĠT ree", + "Ġpres erve", + "Ġt ub", + "AR E", + "ro c", + "ĠIm pro", + "ĠW right", + "Ġbu nd", + "Ġtr aged", + "Ġoccas ional", + "b ian", + "Sec ond", + "r ons", + "Ġinter actions", + "form ed", + "s ing", + "Ġown s", + "Ġh ockey", + "Gener al", + "Ġlog ical", + "Ġexp end", + "Ġesc al", + "ĠGr iff", + "ĠC rown", + "ĠRes erve", + "Ġsto pping", + "Ġexc use", + "sec ond", + "Ġoper ated", + "Ġre aches", + "ĠMal ays", + "Ġpoll ution", + "ĠBrook lyn", + "Ġde lete", + "Ġhas h", + "Bl ock", + "ah a", + "âĢ ³", + "Ġsh orter", + "p iece", + "> >>", + "ĠM ormon", + "t or", + "Ġpartic les", + "ĠB art", + "ry ption", + "Ġad min", + "Ġsqu ee", + "VID IA", + "Ġcreat or", + "iam eter", + "ic ular", + "N BC", + "Ġgrab bed", + "Ġn odd", + "Ġr ated", + "Ġrot ation", + "Ġgr asp", + "Ġexcess ive", + "ĠE C", + "ĠWh it", + "Ġinvent ory", + "ault s", + "ĠF B", + "Ġe cosystem", + "Ġbill ions", + "Ġvent ure", + "n amed", + "Ġdef ender", + "out e", + "Inst ead", + "ir able", + "W ar", + "Ġassum ption", + "Ġb ite", + "Ġearth qu", + "t ail", + "sp ace", + "Ġgif ts", + "boy s", + "Ġinev itable", + "Ġstruct ural", + "Ġbenef icial", + "Ġcompe lling", + "h ole", + "erv ation", + "Ġco at", + "o j", + "inc arn", + "ĠY ears", + "Ġdetermin ing", + "Ġrhet oric", + "Ġbound aries", + "Ġwh ites", + "A nt", + "add y", + ") -", + "ra ham", + "eter min", + "Ġhar vest", + "ĠCon c", + "Ġlapt op", + "ĠM atch", + "Ġenjoy ing", + "cc a", + "oll ar", + "Ġtri ps", + "Ġadd iction", + "ĠS ak", + "Ġpow ered", + "Ġc ous", + "ĠRuss ians", + "ie re", + "Ġret rie", + "qu ality", + "Ġdiff er", + "Ġking dom", + "ĠL aur", + "ĠCap itol", + "Ġcon clusions", + "ĠAl tern", + "ĠN av", + "Ġtrans parent", + "B ER", + "G roup", + "ĠCom plete", + "Ġinf er", + "Ġint rig", + "Ġins ane", + "R O", + "oph ob", + "is en", + "qu al", + "Mich ael", + "Ġm useum", + "ĠP ope", + "Ġres et", + "r ative", + "f ive", + "Ġagg reg", + "itte es", + "osit ory", + "Ġcar b", + "ĠRec ord", + "Ġdec ides", + "ĠF ix", + "Ġexcept ions", + "ĠCommission er", + "un s", + "ĠEnvironment al", + "Ġlegend ary", + "ist ence", + "Ġtun nel", + "k m", + "Ġins ult", + "Ġt roll", + "Ġsh ake", + "Ġdet ention", + "qu es", + "ĠCh rome", + "ĠF iles", + "Ġsub t", + "Ġprospect s", + "Ġpro l", + "re nder", + "pro of", + "Ġperform ances", + "St r", + "Ġh ref", + "ern ame", + "Ġachieve ment", + "Ġf ut", + "F ull", + "ĠLe ban", + "go ogle", + "ãĥ Ī", + "amp a", + "May be", + "Ġproject ed", + "ĠE mb", + "Ġcol leg", + "Ġa wards", + "Ġâ Ķ", + "G old", + "ĠBl ake", + "ĠR aj", + "if ting", + "Ġp ending", + "Ġinst inct", + "Ġdevelop ments", + "Con nect", + "ĠM and", + "ĠW ITH", + "ĠPhilipp ines", + "prof ile", + "Ġalt ogether", + "ĠB und", + "ĠT D", + "oo oo", + "amp ed", + "ip h", + "Ġste am", + "Ġold est", + "Ġdet ection", + "ul pt", + "Ġ ç", + "ĠWay ne", + "200 6", + "f a", + "Ġcir cles", + "ĠF u", + "Ġdon ors", + "appropri ate", + "ĠDak ota", + "j amin", + "Ġmotiv ated", + "Ġpurch ases", + "ĠLouis iana", + "ĠS pl", + "Ġgl obe", + "Ġ10 5", + "z ip", + "c all", + "Ġdepart ments", + "Ġsustain able", + "10 5", + "ĠO P", + "if iers", + "Ġprevent ed", + "Ġinc omp", + "ĠComm ander", + "Ġdom inated", + "Ġ »", + "Ġinvest ed", + "Ġcomplex ity", + "Ġin cl", + "Ġens uring", + "Ġreal m", + "yn c", + "ĠInd ependent", + "r ained", + "ĠJ en", + "ĠFl ight", + "Ġat he", + "Ġspec ulation", + "ĠT E", + "oc ate", + "t ic", + "Ġpl aint", + "her ry", + "Ġto y", + "Ġ1 11", + "Ġpl ates", + "st atus", + "ĠIs a", + "Ġdev oted", + "C op", + "ĠE S", + "25 5", + "ur rency", + "M ain", + "Ġsl aves", + "Ġpe pper", + "Ġqu otes", + "Ġce iling", + "ĠF ish", + "Ġtrans formation", + "Ġfra ction", + "Ġadvant ages", + "Ġto ile", + "Ġstun ning", + "Ġmo ist", + "bre aking", + "s i", + "ĠL ocation", + "ĠMed ium", + "Ġtext s", + "Ġu gly", + "Ġb io", + ". âĢĶ", + "ĠB ased", + "Ġtr ains", + "ĠW ing", + "ĠAn cient", + "ĠRec ords", + "ĠH ope", + "Spe cial", + "ades h", + "ob i", + "[ /", + "Ġtempor arily", + "V er", + "h u", + "os er", + "Ġover night", + "Ġm amm", + "ĠTre asury", + "ĠV enezuel", + "ĠMeg a", + "Ġt ar", + "Ġexpect s", + "bl ack", + "or ph", + "\\\\ \\\\", + "Ġaccept ance", + "Ġrad ar", + "s is", + "Ġjun ior", + "Ġfram es", + "Ġobserv ation", + "ac ies", + "P ower", + "ĠAdv anced", + "M ag", + "olog ically", + "ĠMe chan", + "Ġsent ences", + "Ġanaly sts", + "augh ters", + "force ment", + "Ġv ague", + "Ġcl ause", + "Ġdirect ors", + "Ġeval uate", + "Ġcabin et", + "M att", + "ĠClass ic", + "A ng", + "Ġcl er", + "ĠB uck", + "Ġresear cher", + "Ġ16 0", + "Ġpoor ly", + "Ġexperien cing", + "ĠP ed", + "ĠMan hattan", + "Ġfre ed", + "Ġthem es", + "ad vant", + "Ġn in", + "Ġpra ise", + "10 4", + "ĠLib ya", + "b est", + "Ġtrust ed", + "Ġce ase", + "Ġd ign", + "D irect", + "Ġbomb ing", + "Ġm igration", + "ĠSci ences", + "Ġmunicip al", + "ĠA verage", + "Ġgl ory", + "Ġreve aling", + "Ġare na", + "Ġuncertain ty", + "Ġbattle field", + "ia o", + "G od", + "Ġc inem", + "ra pe", + "el le", + "ap ons", + "Ġlist ing", + "Ġwa ited", + "Ġsp otted", + "ke ley", + "ĠAud io", + "e or", + "ard ing", + "idd ing", + "ig ma", + "ĠN eg", + "Ġl one", + "Ġ ----", + "ex e", + "d eg", + "Ġtrans f", + "Ġwas h", + "Ġsl avery", + "Ġexpl oring", + "ĠW W", + "ats on", + "Ġen cl", + "l ies", + "ĠC reek", + "Ġwood en", + "Man ager", + "ĠBr and", + "um my", + "ĠAr thur", + "Ġbureau cr", + "Ġbl end", + "ar ians", + "F urther", + "Ġsupposed ly", + "Ġwind s", + "Ġ19 79", + "Ġgrav ity", + "Ġanalys es", + "ĠTra vel", + "ĠV eter", + "Ġd umb", + "Ġaltern ate", + "g al", + "Ġconsum ed", + "Ġeffect iveness", + ".' '", + "Ġpath s", + "ond a", + "L A", + "ĠStr ong", + "Ġen ables", + "Ġesc aped", + "Ġ\" \"", + "Ġ1 12", + "Ġ198 3", + "Ġsm iled", + "Ġtend ency", + "F ire", + "Ġp ars", + "ĠR oc", + "Ġl ake", + "Ġf itness", + "ĠA th", + "ĠH orn", + "Ġh ier", + "Ġimp ose", + "m other", + "Ġp ension", + "ic ut", + "bor ne", + "ic iary", + ". _", + "ĠS U", + "Ġpol ar", + "is y", + "eng u", + "itial ized", + "AT A", + "w rite", + "Ġexerc ises", + "ĠD iamond", + "ot ypes", + "Ġharm ful", + "on z", + "Ġprint ing", + "st ory", + "Ġexpert ise", + "ĠG er", + "Ġtraged y", + "ĠF ly", + "Ġd ivid", + "amp ire", + "st ock", + "M em", + "Ġre ign", + "Ġun ve", + "Ġam end", + "ĠProp het", + "Ġmut ual", + "ĠF ac", + "Ġrepl acing", + "H ar", + "ĠCirc uit", + "Ġthro at", + "ĠSh ot", + "Ġbatter ies", + "Ġto ll", + "Ġaddress ing", + "ĠMedic aid", + "Ġp upp", + "ĠN ar", + "ol k", + "Ġequ ity", + "M R", + "ĠHis pan", + "ĠL arge", + "m id", + "D ev", + "Ġexp ed", + "Ġdem o", + "ĠMarsh all", + "erg us", + "Ġf iber", + "Ġdiv orce", + "ĠCre ate", + "Ġsl ower", + "ĠPark er", + "ĠStud ent", + "ĠTr aining", + "Ret urn", + "ĠT ru", + "Ġc ub", + "ĠRe ached", + "Ġpan ic", + "Ġqu arters", + "Ġre ct", + "Ġtreat ing", + "Ġr ats", + "ĠChristian ity", + "ol er", + "Ġsac red", + "Ġdecl are", + "ul ative", + "et ing", + "Ġdeliver ing", + "est one", + "Ġt el", + "ĠL arry", + "Ġmet a", + "ac cept", + "art z", + "ĠRog er", + "hand ed", + "Ġhead er", + "Ġtra pped", + "ĠCent ury", + "Ġkn ocked", + "ĠOx ford", + "Ġsurviv ors", + "b ot", + "Ġdemon stration", + "Ġd irt", + "Ġass ists", + "OM E", + "ĠD raft", + "ortun ate", + "fol io", + "pe red", + "ust ers", + "g t", + "ĠL ock", + "Ġjud icial", + "ver ted", + "Ġsec ured", + "out ing", + "ĠBook s", + "Ġhost ing", + "Ġlif ted", + "l ength", + "Ġj er", + "Ġwhe els", + "ĠR ange", + "umbn ails", + "Ġdiagn osis", + "te ch", + "ĠStew art", + "ĠP ract", + "Ġnation wide", + "Ġde ar", + "Ġoblig ations", + "Ġgrow s", + "Ġmand atory", + "Ġsusp icious", + "! '", + "A pr", + "G reat", + "Ġmort gage", + "Ġprosecut or", + "Ġeditor ial", + "ĠK r", + "Ġprocess ed", + "ung le", + "Ġflex ibility", + "Ear lier", + "ĠC art", + "ĠS ug", + "Ġfoc uses", + "Ġstart up", + "Ġbre ach", + "ĠT ob", + "cy cle", + "ãĢ Į", + "ro se", + "Ġb izarre", + "ãĢ į", + "Ġveget ables", + "$ $", + "Ġret reat", + "osh i", + "ĠSh op", + "ĠG round", + "ĠSt op", + "ĠHawai i", + "ĠA y", + "Per haps", + "ĠBe aut", + "uff er", + "enn a", + "Ġproduct ivity", + "F ixed", + "cont rol", + "Ġabs ent", + "ĠCamp aign", + "G reen", + "Ġident ifying", + "Ġreg ret", + "Ġpromot ed", + "ĠSe ven", + "Ġer u", + "ne ath", + "aug hed", + "ĠP in", + "ĠL iving", + "C ost", + "om atic", + "me ga", + "ĠN ig", + "oc y", + "Ġin box", + "Ġem pire", + "Ġhor izont", + "Ġbr anches", + "Ġmet aph", + "Act ive", + "ed i", + "ĠFil m", + "ĠS omething", + "Ġmod s", + "inc ial", + "ĠOrig inal", + "G en", + "Ġspir its", + "Ġear ning", + "H ist", + "Ġr iders", + "Ġsacr ific", + "M T", + "ĠV A", + "ĠS alt", + "Ġoccup ation", + "ĠM i", + "Ġdis g", + "lic t", + "Ġn it", + "Ġn odes", + "e em", + "ĠP ier", + "Ġhat red", + "ps y", + "ãĥ ī", + "Ġthe ater", + "Ġsophistic ated", + "Ġdef ended", + "Ġbes ides", + "Ġthorough ly", + "ĠMedic are", + "Ġbl amed", + "arent ly", + "Ġcry ing", + "F OR", + "pri v", + "Ġsing ing", + "ĠI l", + "Ġc ute", + "o ided", + "olit ical", + "ĠNe uro", + "å ¤", + "Ġdon ation", + "ĠEag les", + "ĠG ive", + "T om", + "Ġsubstant ially", + "ĠLic ense", + "ĠJ a", + "Ġg rey", + "ĠAn imal", + "ĠE R", + "ĠU nd", + "Ġke en", + "Ġconclud e", + "ĠMississ ippi", + "Eng ine", + "ĠStud ios", + "P ress", + "o vers", + "ll ers", + "Ġ3 50", + "ĠR angers", + "Ġr ou", + "ert o", + "E p", + "iss a", + "iv an", + "Ġse al", + "ĠReg ist", + "dis play", + "Ġwe aken", + "u um", + "ĠComm ons", + "ĠS ay", + "Ġcult ures", + "Ġl aughed", + "Ġsl ip", + "Ġtreat ments", + "iz able", + "m art", + "ĠR ice", + "Ġbe ast", + "Ġob esity", + "ĠLa ure", + "ig a", + "Wh ich", + "hold er", + "Ġelder ly", + "Ġp ays", + "Ġcompl ained", + "Ġc rop", + "Ġpro c", + "Ġexplos ive", + "ĠF an", + "ĠAr senal", + "A uthor", + "ef ul", + "Ġme als", + "Ġ( -", + "id ays", + "Ġimag ination", + "Ġann ually", + "Ġm s", + "as ures", + "H ead", + "ik h", + "m atic", + "Ġboy friend", + "ĠCom puter", + "Ġb ump", + "Ġsur ge", + "ĠCra ig", + "ĠKir k", + "D el", + "medi ate", + "Ġscen arios", + "ĠM ut", + "ĠSt ream", + "Ġcompet itors", + "Ù Ħ", + "ĠStan ford", + "ĠRes ources", + "az ed", + "b age", + "Ġorgan is", + "ĠRe lease", + "Ġsepar ately", + "Ġha bits", + "Ġmeasure ments", + "ĠCl ose", + "Ġaccomp any", + "Ġg ly", + "Ġt ang", + "ĠR ou", + "Ġplug in", + "Ġcon vey", + "ĠChall enge", + "oot s", + "j an", + "Ġcur s", + "ĠRel ations", + "ke eper", + "Ġapproach ing", + "p ing", + "Spe aking", + "Ġarrang ement", + "ĠV I", + "are ttes", + "Ġaffect ing", + "Ġperm its", + "b ecause", + "Ġu seless", + "ĠH us", + "!! !!", + "Ġdestro ying", + "Un fortunately", + "Ġfasc inating", + "S em", + "Ġelect oral", + "Ġtrans parency", + "ĠCh aos", + "Ġvolunte er", + "Ġstatist ical", + "Ġactiv ated", + "ro x", + "We b", + "H E", + "ĠHamp shire", + "is ive", + "M ap", + "Ġtr ash", + "ĠLaw rence", + "st ick", + "C r", + "Ġr ings", + "EX T", + "Ġoper ational", + "op es", + "D oes", + "ĠEv ans", + "Ġwitness ed", + "P ort", + "Ġlaunch ing", + "ec onom", + "w ear", + "ĠPart icip", + "um m", + "cul es", + "ĠR AM", + "ĠT un", + "Ġass ured", + "Ġb inary", + "Ġbet ray", + "Ġexpl oration", + "ĠF el", + "Ġad mission", + "it ated", + "S y", + "Ġav oided", + "ĠSim ulator", + "Ġcelebr ated", + "ĠElect ric", + "¥ ŀ", + "Ġcl uster", + "itzer land", + "he alth", + "L ine", + "ĠN ash", + "at on", + "Ġsp are", + "Ġenter prise", + "ĠD IS", + "clud es", + "Ġfl ights", + "Ġreg ards", + "Ġà Ĺ", + "h alf", + "Ġtr ucks", + "Ġcontact s", + "Ġunc ons", + "ĠCl imate", + "Ġimm ense", + "N EW", + "oc c", + "ect ive", + "Ġemb od", + "Ġpat rol", + "Ġbes ide", + "Ġv iable", + "Ġcre ep", + "Ġtrig gered", + "ver ning", + "Ġcompar able", + "q l", + "Ġg aining", + "ass es", + "Ġ( );", + "ĠG rey", + "ĠM LS", + "s ized", + "Ġpros per", + "\" ?", + "Ġpoll ing", + "Ġsh ar", + "ĠR C", + "Ġfire arm", + "or ient", + "Ġf ence", + "Ġvari ations", + "g iving", + "ĠP i", + "osp el", + "Ġpled ge", + "Ġc ure", + "Ġsp y", + "Ġviol ated", + "Ġr ushed", + "Ġstro ke", + "ĠBl og", + "sel s", + "ĠE c", + ",' '", + "Ġp ale", + "ĠColl ins", + "ter ror", + "ĠCanad ians", + "Ġt une", + "Ġlabor atory", + "Ġn ons", + "t arian", + "Ġdis ability", + "ĠG am", + "Ġsing er", + "al g", + "ĠSen ior", + "Ġtrad ed", + "ĠWar rior", + "Ġinf ring", + "ĠFrank lin", + "Ġstr ain", + "ĠSwed ish", + "Ġsevent h", + "ĠB enn", + "ĠT ell", + "Ġsynd rome", + "Ġwond ered", + "id en", + "++ ++", + "ig o", + "Ġpur ple", + "Ġjournal ism", + "Ġreb el", + "Ġf u", + "bl og", + "Ġinv ite", + "ren cies", + "ĠCont act", + "Is rael", + "ĠCont ent", + "Ġche er", + "Ġbed room", + "ĠEngine ering", + "ĠQue ens", + "Ġd well", + "ĠPlay Station", + "ĠD im", + "ĠCol on", + "l r", + "Ġoper ates", + "Ġmotiv ation", + "US A", + "ast ered", + "C ore", + "ĠTr uth", + "ol o", + "OS E", + "ĠMem ory", + "Ġpred ec", + "Ġan arch", + "Ġ19 20", + "ĠY am", + "à ¨", + "b id", + "Ġgr ateful", + "Ġexc itement", + "Ġtre asure", + "Ġlong est", + "ct ive", + "Ġdes erves", + "Ġreserv es", + "Ġcop s", + "ĠOtt awa", + "ĠEgypt ian", + "ank ed", + "Ġart if", + "Ġhypot hesis", + ": /", + "Ġpurch asing", + "Ġlove ly", + "H P", + "Ġdiv ide", + "Ġstrict ly", + "Ġquestion ing", + "Ġtaxp ayers", + "ĠJ oy", + "Ġroll s", + "ĠHe avy", + "Ġp orts", + "Ġmag netic", + "Ġinf lamm", + "Ġbr ush", + "t ics", + "â ĪĴ", + "Ġbott les", + "pp y", + "Ġp add", + "ãĤ ¯", + "m illion", + "Ġdevast ating", + "Ġcomp iled", + "Ġmed ication", + "Ġtw elve", + "ĠPer ry", + "Sp ace", + "im b", + "y our", + "Ġle aked", + "ĠT ar", + "Ġun ity", + "Ġinfect ed", + "Ġtravel ed", + "ID E", + "ĠMc Donald", + "t xt", + "ĠPr inc", + "Ġinter ven", + "ĠTai wan", + "ĠP ow", + "Ġbe aring", + "ĠTh read", + "Ġz ones", + "iz ards", + "un ks", + "Ch apter", + "ll or", + "Ġ ·", + "Ġw ounds", + "Ġdisc retion", + "Ġsucceed ed", + "ik ing", + "Ġicon ic", + "C all", + "Ġscreen ing", + "ĠM is", + "ict s", + "Ġmin isters", + "Ġsepar ation", + "Pl ayer", + "Ġb ip", + "Ġbel oved", + "Ġcount ing", + "ĠE ye", + "ar ound", + "ing ing", + "Ġtable t", + "Ġoff ence", + "in ance", + "h ave", + "ĠInf o", + "ĠNin ja", + "Ġprotect ive", + "ĠC ass", + "M ac", + "ĠQual ity", + "N orth", + "Ġ ic", + "ĠCub a", + "ĠChron icle", + "ĠPro perty", + "Ġfast est", + "ot os", + "ĠG erm", + "OW N", + "Ġbo om", + "ĠStan ley", + "ergus on", + "Ġcle ver", + "Ġent ers", + "m ode", + "ter ior", + "ĠS ens", + "Ġlin ear", + "AR K", + "Ġcomp aring", + "Ġpure ly", + "Ġsaf er", + "ĠPot ter", + "Ġc ups", + "R T", + "Ġgl uc", + "Ġatt ributed", + "Ġdu pl", + "ĠP ap", + "Ġprec ious", + "Ġp a", + "iction ary", + "ĠT ig", + "ĠTo o", + "ol utions", + "st an", + "Ġrob ots", + "Ġlob b", + "Ġstat ute", + "Ġprevent ion", + "w estern", + "16 0", + "ĠAct ive", + "ĠMar ia", + "h al", + "N one", + "ell ar", + "ĠK B", + "ĠPart ners", + "ĠSing le", + "ĠFollow ing", + "ang o", + "ac ious", + "Ġth ou", + "Ġk g", + "Ġinflu ential", + "ĠFriend s", + "S ur", + "ain ted", + "Ġfor ums", + "Ġst arter", + "Ġcitizens hip", + "ĠE lection", + "on ge", + "ot ation", + "os ph", + ";; ;;", + "ut ical", + "p ur", + "ere n", + "Ġaccus ations", + "bit ious", + "ab bit", + "ĠOr d", + "Post ed", + "ir k", + "Ġsens itivity", + "ic he", + "ĠAm y", + "ĠF ab", + "Ġsum mit", + "Ġped est", + "Ġrub ber", + "Ġagric ultural", + "Ġcan cel", + "A E", + "Ġin aug", + "Ġcont am", + "Ġfirm ly", + "i w", + "st age", + "ĠK an", + "Ġt ier", + "Ġinv ention", + "Ġtransl ated", + "ĠR ules", + "B ox", + "Tw itter", + "ID S", + "Ġp izza", + "Ġdeb ug", + "ĠD rop", + "v s", + "Ġh orses", + "b ig", + "Ġb oring", + "Ġh ood", + "ĠMcC ain", + "at ched", + "ĠBro s", + "Ġsk ip", + "Ġess ay", + "st at", + "ĠLeg ends", + "Ġam munition", + "au c", + "Ġshoot er", + "Ġun h", + "Ġsuppl ied", + "Ġgener ic", + "ĠS K", + "ib an", + "yr ics", + "Ġ25 5", + "Ġclim bing", + "Form er", + "Ġfl ip", + "Ġjump ing", + "Ġfrust ration", + "ĠTer ry", + "Ġneighborhood s", + "Ġmed ian", + "be an", + "Ġbr ains", + "Follow ing", + "Ġsh aped", + "Ġdraw s", + "Ġal tered", + "J ack", + "Ġrecip es", + "Ġsk illed", + "we alth", + "ach i", + "e lection", + "Ġbehavi ors", + "de als", + "ĠU ntil", + "F e", + "Ġdecl aration", + "mar ks", + "ĠBet ween", + "cel ona", + "Ġres on", + "Ġbub ble", + "Am ong", + "Ġim perial", + "G S", + "Ġfemin ist", + "200 5", + "ĠK yle", + "Ġaccount ing", + "ĠTe le", + "ĠT yr", + "Ġconnect ing", + "Ġre hab", + "ĠP red", + "s im", + "Ġmeant ime", + "Ġphys ician", + "M W", + "ĠCamp bell", + "ĠBr andon", + "Ġcontribut ing", + "ĠR ule", + "ĠWe ight", + "ĠN ap", + "Ġinter active", + "Ġv ag", + "Ġhel met", + "ĠCom b", + "f our", + "Ġsh ipped", + "Ġcomple ting", + "ĠP D", + "PD ATE", + "Ġspread ing", + "Ġsc ary", + "erv ing", + "ĠG as", + "Ġfr ank", + "s chool", + "Ġrom antic", + "Ġstab il", + "R ob", + "Ġaccur ately", + "Ġac ute", + "ĠH ann", + "Ġsymbol s", + "Ġcivil ization", + "ĠA W", + "Ġlight ning", + "Ġcons iders", + "Ġven ue", + "Ġ ×", + "Ġo ven", + "ĠS F", + "h is", + "Ġn u", + "ĠLear n", + "Ġpe oples", + "Ġst d", + "Ġsle e", + "Ġs lic", + "ĠStat istics", + "Ġcor ners", + "ĠB aker", + "Ġ: )", + "ment ation", + "ol ver", + "Ġlaugh ing", + "ĠT odd", + "ond e", + "ĠH ills", + "Ġn uts", + "ĠW oman", + "pl ane", + "Ġl iver", + "ĠIn side", + "S orry", + "Ġagre es", + "Ġfund ament", + "ĠF isher", + "Ġa uction", + "Ġthread s", + "gl as", + "ĠBas ic", + "ĠN at", + "Ġlack ing", + "Ġceleb ration", + "j u", + "Ġs illy", + "E uro", + "Ġt att", + "ight y", + "cont rolled", + "T est", + "ĠSing h", + "Ġr age", + "Ġrh yth", + "o ffic", + "ĠPh antom", + "Ġhead lines", + "Ġrespond ing", + "ĠMor ning", + "Ġvit amin", + "Ġboot s", + "ĠS ite", + "al in", + "p i", + "Ġvir al", + "ĠU C", + "D ER", + "ĠSe x", + "Ġst ocks", + "c urrent", + "Ġch urches", + "ĠR are", + "ĠMur phy", + "Ġden ial", + "ĠG aming", + "Ġtou g", + "Ġn ick", + "Ġm akers", + "ĠRon ald", + "Ġgener ous", + "ĠD oc", + "ĠMor ris", + "Ġtransform ed", + "ĠN ormal", + "Ġ10 4", + "ĠKick starter", + "ĠUp on", + "On line", + "ĠI RS", + "Ġw rap", + "Ġl oving", + "Ġarri ves", + "ĠD ue", + "Ġhe ter", + "ĠM ade", + "Ġrent al", + "Ġbelong s", + "Ġatt orneys", + "Ġcro ps", + "Ġmat ched", + "ul um", + "ol ine", + "10 9", + "Ġdis par", + "Ġbuy ers", + "ĠCam bridge", + "Ġeth ics", + "rou ps", + "Ġjust ified", + "Ġmarg inal", + "Ġrespect ed", + "win ning", + "Ġnodd ed", + "ĠSer ge", + "ĠForm er", + "C raft", + "######## ########", + "ĠWar ner", + "Ġd ash", + "et e", + "Ġent ert", + "ĠE scape", + "out heast", + "Ġkn ees", + "ĠB omb", + "Ġr ug", + "P ass", + "Ġatt itudes", + "go vernment", + "ĠPri or", + "Ġqual ities", + "Ġnot ification", + "ĠPh one", + "l ie", + "Ġanticip ated", + "ĠCom bat", + "ĠBar ry", + "Ġ198 2", + "Us ers", + "on er", + "Ġcomput ing", + "ĠConnect icut", + "Ġless er", + "Ġpe ers", + "ĠC u", + "Ġtechn ically", + "Ġsub mission", + "ĠUn iversal", + "Ġman ually", + "our ge", + "Ġrespond ents", + "ĠB TC", + "ĠH ost", + "Ġf are", + "ĠB ird", + "Ġrece ipt", + "al so", + "Ġj ack", + "Ġagric ulture", + "Ġsk ull", + "Ġ! =", + "Ġpass ive", + "ĠC I", + "Ġsoc ieties", + "Ġremind ed", + "Ġinter ference", + "B uy", + "Ġâ ľ", + "g on", + "Ġscrut iny", + "ĠW itch", + "Ġconduct ing", + "Ġ ãĥ", + "Ġexch anges", + "ĠMit chell", + "Ġinhab it", + "Ġtw ist", + "B D", + "Ġwhere ver", + "group on", + "Ġj okes", + "ĠBen jamin", + "ĠR andom", + "fr ame", + "ĠL ions", + "Ġhighlight ed", + "ĠArk ansas", + "E nt", + "Ġp ile", + "Ġpre lim", + "g s", + "mind ed", + "Ġfel ony", + "ĠG A", + "ĠL uck", + "Ġpract ically", + "ĠB os", + "Ġact ress", + "D am", + "ĠB ou", + "Ġvis a", + "Ġembed ded", + "Ġhy brid", + "Ġear liest", + "Ġsoon er", + "s ocial", + "ĠH A", + "Ġste ep", + "Ġdis advant", + "Ġexplo it", + "ĠE gg", + "ĠUlt ra", + "Ġnecess ity", + "L ocal", + "ie ge", + "Ġd ated", + "Ġmass es", + "Ġsubsc ription", + "pl ess", + "Ġan onym", + "Ġpresum ably", + "Bl ue", + "The ir", + "asket ball", + "ĠPhil ip", + "Ġcom ed", + "load ed", + "r ane", + "Ġref lection", + "Ch ina", + "Ġext ends", + "Ġform ing", + "Ġund ers", + "200 1", + "Ġgr at", + "Ġconcent rations", + "Ġins ulin", + "Ġsec ular", + "Ġwh ilst", + "Ġwin ners", + "Ad vertisements", + "Ġdeliber ately", + "ĠWork ing", + "Ġs ink", + "et ics", + "d ale", + "Ġmand ate", + "Ġg ram", + "Ġvac ation", + "Ġwarn ings", + "ri pp", + "ĠTH AT", + "Ġcomment ary", + "Ġint u", + "Ġa est", + "Ġreason ing", + "Ġbreak down", + "ĠZ ombie", + "Ġ-- >", + "ĠPolit ical", + "c ott", + "Ġthr ust", + "Ġtechn ological", + "Ġdec iding", + "Ġtraff icking", + "L ong", + "W elcome", + "pr ising", + "ĠCommun ications", + "Ġend ors", + "Ġsw ift", + "Ġmetab ol", + "co ins", + "res a", + "ĠHT TP", + "Ġen roll", + "ĠH appy", + "us r", + "int age", + "Ġ[ \"", + "u ably", + "ĠM aterial", + "Ġrepe al", + "Se pt", + "k h", + "ĠMod i", + "Ġunder neath", + "ĠI L", + "sh ore", + "Ġdiagn osed", + "ace utical", + "Ġsh ower", + "au x", + "ĠSw itch", + "ĠStre ngth", + "Ġj ihad", + "n ational", + "Ġtra uma", + "uss y", + "on i", + "Ġcons olid", + "Ġcal ories", + "ĠF lynn", + "ag ged", + "16 8", + "ĠP ink", + "Ġfulf ill", + "Ġch ains", + "Ġnot ably", + "ĠA V", + "L ife", + "ĠCh uck", + "m us", + "ĠUr ban", + "ĠH end", + "Ġdep osit", + "ĠS ad", + "Ġaff air", + "OR K", + "ie val", + "ĠF DA", + "Ġt rop", + "ĠOver all", + "Ġvirt ue", + "Ġsatisf action", + "au nd", + "Ġl un", + "ĠSw itzerland", + "ĠOper ation", + "pro cess", + "Ġsh ook", + "Ġcount ies", + "le ased", + "ĠCharl otte", + "1 12", + "Ġtrans cript", + "Ġre dd", + "p ush", + "ĠHe y", + "ĠAn alysis", + "[ \"", + "Ġaltern atives", + "ard less", + "Ġele ph", + "Ġpre jud", + "ĠLe af", + "H aving", + "ĠH ub", + "Ġexpress ions", + "ĠVol ume", + "Ġshock ing", + "ĠRed s", + "Ġread ily", + "Ġplan ets", + "ad ata", + "Ġcollaps ed", + "ĠMad rid", + "Ġir rit", + "i pper", + "ĠEn c", + "ĠW ire", + "Ġbu zz", + "ĠG P", + "ash a", + "Ġaccident ally", + "ur u", + "Ġfrust rated", + "ĠS A", + "Ġhung ry", + "ĠH uff", + "Ġlab els", + "ant o", + "ĠE P", + "Ġbar riers", + ") |", + "ĠBer keley", + "ĠJ ets", + "Ġp airs", + "ĠL an", + "J ames", + "ĠB ear", + "Ġhum or", + "ĠLiber ty", + "Ġmagn itude", + "Ġag ing", + "ĠM ason", + "Ġfriends hip", + "umb ling", + "Ġemer ge", + "Ġnewsp apers", + "Ġam bitious", + "ĠRich ards", + "atern al", + "Ġ198 1", + "Ġcook ies", + "Ġsc ulpt", + "Ġpur suit", + "L ocation", + "Ġscript s", + "p c", + "Ġarrang ements", + "Ġd iameter", + "Ġl oses", + "am ation", + "Ġl iqu", + "ĠJ ake", + "aret te", + "Ġunderstand s", + "ĠZ en", + "v m", + "Ġappro ve", + "Ġw ip", + "Ġult ra", + "Ġint end", + "ĠD I", + "asc ular", + "Ġst ays", + "ĠK or", + "ĠK l", + "Ġinvest ing", + "L a", + "Ġbelie ving", + "b ad", + "m outh", + "Ġtaxp ayer", + "ãĥ ĥ", + "ĠQue bec", + "Ġl ap", + "ĠSw iss", + "d rop", + "Ġdr ain", + "ir i", + "et c", + "ft en", + "ĠN ex", + "Ġst raw", + "Ġscream ing", + "Ġcount ed", + "Ġdam aging", + "Ġamb assador", + "cent ury", + "Ġpro x", + "Ġarrest s", + "u v", + "il ateral", + "ĠCh arg", + "Ġpresc ribed", + "Ġindepend ently", + "Ġf ierce", + "ĠB aby", + "Ġb rave", + "Ġsu its", + "= >", + "Ġbas eline", + "ĠR ate", + "Ġis lands", + "Ġ( (", + "g reen", + "ix els", + "Ġname ly", + "ĠVill age", + "th an", + "am y", + "V ersion", + "g mail", + "ential s", + "ĠS ud", + "ĠMel bourne", + "Ġarri ving", + "Ġquant um", + "e ff", + "rop olitan", + "T ri", + "Ġfun eral", + "ĠI R", + "ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ", + "ĠC ob", + "it ably", + "Ġt urb", + "Ġcomb o", + "Re view", + "Ġdeploy ment", + "u ity", + "ĠB ott", + "Ġinv isible", + "Ġrender ing", + "Ġunl ocked", + "Ġa qu", + "ĠVlad imir", + "Ġp ad", + "ĠBr ain", + "ĠLeg acy", + "dr agon", + "ĠKurd ish", + "Ġsound ed", + "Ġdet ained", + "ĠD M", + "g ary", + "Ġd aughters", + "Ġdistur bing", + "uk a", + "ĠPar ad", + "Ġt ast", + "Ġunf ortunate", + "Ġu l", + "em in", + "Ġattend ance", + "tr l", + "Ġpar ks", + "ĠMem orial", + "ĠAl ice", + "oth y", + "gu ard", + "ĠD ise", + "ĠSh an", + "ĠFor um", + "R ich", + "Ġshif ted", + "ue z", + "Ġl ighter", + "ĠMag n", + "Ġc od", + "S ch", + "ham mad", + "P ub", + "3 50", + "ĠP okemon", + "Ġprot otype", + "Ġun re", + "B ase", + "ĠStud ents", + "ĠRep ly", + "ĠCommun ist", + "Ġg au", + "ĠTy ler", + "I Z", + "Ġparticip ated", + "Ġsup rem", + "ĠDet ails", + "Ġvessel s", + "ro d", + "Ġt ribe", + "ke ep", + "Ġassum ptions", + "Ġp ound", + "Ġcr ude", + "ĠAv ailable", + "Ġswim ming", + "Ġin clusion", + "Ġadv ances", + "c ulation", + "Ġconserv ation", + "Ġover d", + "ĠBuff alo", + "Art icle", + "ed ge", + "Ġaw a", + "ĠMad ison", + "Ġsid ew", + "Ġcat ast", + "ĠK rist", + "uc le", + "ĠHigh way", + "ĠTer ror", + "Ġactiv ation", + "Ġuncons cious", + "ĠSat an", + "ĠSus an", + "ill ery", + "Ġarr anged", + "i op", + "Ġrum ors", + "ur ring", + "th ink", + "ĠKe ith", + "ĠK ind", + "Ġavoid ing", + "by n", + "n ut", + "ĠSpe aker", + "r us", + "n ames", + "Ġgu ilt", + "ĠOlymp ics", + "Ġsa il", + "ĠM es", + "lev ant", + "ĠColumb us", + "a ft", + "C ity", + "S outh", + "ĠHar vey", + "ĠP un", + "S everal", + "Ġment ally", + "Ġimp ress", + "m ount", + "ĠUb untu", + "âĢĶâĢĶâĢĶâĢĶ âĢĶâĢĶâĢĶâĢĶ", + "ĠSuper man", + "ĠMP s", + "Ġintent ions", + "ĠR acing", + "Ġlike lihood", + "Ġ2 40", + "T otal", + "Ġto ys", + "ĠW atson", + "Ġur ge", + "L ear", + "ĠP aper", + "Ġoccur ring", + "ĠB eng", + "ĠC ert", + "Ġst ones", + "T im", + "ĠTw in", + "z b", + "ĠD ynam", + "Ġpolit ician", + "k ens", + "ĠEnter prise", + "UT ERS", + "Ġab ol", + "Ġref resh", + "Ġarbit rary", + "pe ction", + "Ġtrou bles", + "Ġ} );", + "t v", + "Ġpil ots", + "Ġdist ribute", + "Ġaud it", + "Ġp ause", + "orig inal", + "Ġr ivals", + " £", + "F ig", + "T L", + "ab il", + "ry ing", + "L in", + "ion ed", + "l on", + "Ġf ancy", + "Ġcr ashed", + "Ġt ract", + "Ġshe d", + "Ġcons ume", + "B ased", + "down load", + "in it", + "Ġvolt age", + "Int rodu", + "Ġcondem ned", + "ĠFin ance", + "res pect", + "Ġex cluded", + "Ġestablish ing", + "her ic", + "Ġher itage", + "Ġspect acular", + "Ġun st", + "ĠSnow den", + "ĠL ane", + "S an", + "Ġprotect ions", + "st ruction", + "inc inn", + "Ġmac ro", + "C ustom", + "ios ity", + "Ġes p", + "Ġfunction ing", + "Ġm ush", + "Ġp uzzle", + "Ġeth ical", + "M al", + "Ġgo verning", + "ĠF erguson", + "Ġrest ored", + "Ġst ressed", + "ĠCoun ter", + "ĠK as", + "cl ip", + "AN S", + "Ġse iz", + "U K", + "by ss", + "old own", + "ap i", + "Ġperman ently", + "oun ters", + "W est", + "Th rough", + "L ight", + "at oes", + "Ġne at", + "Ġc ord", + "ure r", + "Ġsevere ly", + "ĠA ven", + "Ġinter rog", + "Ġtri ple", + "G iven", + "N umber", + "Ġar ise", + "Ġs her", + "pl ant", + "Ġfl ower", + "ĠC ou", + "Ġat e", + "Ġnew er", + "b ul", + "Ġmean while", + "ĠL air", + "Ġadjust ment", + "ĠCop yright", + "Ġd ivers", + "i ological", + "Ġgam ers", + "o at", + "Ġhistor ically", + "Ġanal og", + "Ġlong time", + "Ġpres cription", + "ĠM ist", + "ĠHy per", + "ĠM aine", + "ĠDe ity", + "Ġmulti pl", + "ĠRe incarn", + "ĠH yd", + "ĠP ic", + "S il", + "r ants", + "ĠC ris", + ". ;", + "( {", + "epend ence", + "Ġrec y", + "ate ur", + "Ġqu ad", + "Ġgl ob", + "Ġcon ced", + "te am", + "Ġcapital ist", + "ĠL ot", + "Ġroy al", + "ĠCy ber", + "Ġblack s", + "met ic", + "ri v", + "ĠD anny", + "Ġsp o", + "ĠR O", + "Ġanim ated", + "rypt ed", + "ĠDep uty", + "Ġrend ered", + "F E", + "Ġstre ak", + "Ġcloud s", + "ĠDou g", + "~~~~ ~~~~", + "Ġdisc our", + "ĠVe h", + "Ġpsych ology", + "ĠJ ourney", + "Ġcry stal", + "ĠFro st", + "Ġsuspic ion", + "Ġrel ate", + "or us", + "ĠC rypt", + "ĠN VIDIA", + "com ed", + "ut ing", + "incinn ati", + "Ġvulner ability", + "ost ic", + "Ġisol ation", + "Ġcool ing", + "ĠCoal ition", + "Ġ1 19", + "F our", + "ĠDe al", + "Ġâ ī", + "se mble", + "ram ent", + "ĠBar celona", + "Ġ10 2", + "Ġcoc aine", + "ocaly pse", + "F eb", + "ogen ic", + "Ġmut ation", + "Ġcrypt oc", + "ĠK el", + "ĠG it", + "a is", + "Ġs isters", + "AN K", + "Ġactiv ate", + "T er", + "Ġd read", + "yl on", + "Ġprop ri", + "A ust", + "ĠDef ault", + "Ġout door", + "Ġshe er", + "ce ive", + "Ġg ently", + "Ð ¾", + "Pro gram", + "Ġâ ĨĴ", + "Ġve gan", + "ĠCr us", + "Ġrespons ibilities", + "ĠH R", + "OL D", + "Ġprev ents", + "Ġst iff", + "ĠW ere", + "Ġathlet ic", + "ĠSc ore", + "Ġ) :", + "Ġcolumn s", + "ĠL oc", + "av ailable", + "ĠF ram", + "ĠS essions", + "Ġcompan ion", + "Ġpack s", + "14 0", + "ĠKn ights", + "Ġf art", + "Ġstream s", + "Ġsh ore", + "Ġapp eals", + "ĠPer formance", + "h aul", + "ĠSt ra", + "ĠN ag", + "10 3", + "ĠTrans portation", + "B B", + "E v", + "z an", + "P ublic", + "Ġtw in", + "uls ion", + "M ult", + "Ġelect ro", + "Ġstat ue", + "ation ally", + "ĠN ort", + "Ġins pection", + "/ *", + "ig ue", + "Ġcomp assion", + "ĠT ales", + "ĠSte in", + "ĠSc reen", + "ĠB ug", + "ĠL ion", + "g irl", + "Ġwithdraw al", + "Ġobject ives", + "Ġblood y", + "Ġprelim inary", + "Ġj acket", + "Ġdim ensions", + "ĠC ool", + "ĠOcc up", + "Ġw reck", + "Ġdoub led", + "ank ing", + "Ġ19 75", + "Ġglass es", + "ĠW ang", + "pro v", + "P ath", + "connect ed", + "ĠMult i", + "ĠNor way", + "agon ist", + "Ġfe ared", + "Ġtouch ing", + "Ġarg uably", + "¯¯¯¯ ¯¯¯¯", + "ĠNC AA", + "che m", + "Ġsp at", + "ĠW WE", + "ĠC el", + "ig ger", + "Ġattack er", + "ĠJo in", + "ob ject", + "ett a", + "Ġelim inated", + "d et", + "Ġdest ruct", + "ĠLuc as", + "ct uary", + "18 0", + "ĠBr ady", + "ĠBl ues", + "B ay", + "au kee", + "Ġtim eline", + "Ġdeleg ates", + "w ritten", + "uff icient", + "Ġsh apes", + "Cop yright", + "ou ble", + "serv ice", + "Ġp ione", + "Ġcolleg es", + "Ġrow s", + "Ġsp ite", + "Ġassess ed", + "3 60", + "Ġle ase", + "Ġconfident ial", + "ck er", + "ĠMan ning", + "ĠV oice", + "Ġse aled", + "Ġcalcul ate", + "N O", + "ĠAss istant", + "Ġteen ager", + "ul ent", + "ather ine", + "Ġm ock", + "Ġd iamond", + "Ġf est", + "Ġsw itched", + "Ġres ume", + "ĠPu erto", + "Ġl anes", + "ir ation", + "ĠSimilar ly", + "Ġro d", + "ĠS el", + "ĠPal ace", + "ĠLim ited", + "e ous", + "Ġvar iant", + "Ġw ard", + "Ġ) )", + "Sh ow", + "OO K", + "A lex", + "ĠN ep", + "br is", + "ĠWik ipedia", + "Ġexcept ional", + "Ġman ages", + "ĠD raw", + "Ag ain", + "Ġco pper", + "ut t", + "Ġex ports", + "Ġport folio", + "Ġelev ated", + "R ated", + "ĠOther wise", + "ĠT act", + "ĠShe l", + "ĠT X", + "\" âĢĶ", + "Ġres ur", + "ĠW a", + "ven ant", + "Ġmon etary", + "pe ople", + "E mail", + "Ġfif ty", + "ĠS weet", + "ĠMalays ia", + "Ġconf using", + "ĠR io", + "ud a", + "uten ant", + "\" );", + "Ġpra ised", + "Ġvol umes", + "t urn", + "Ġm ature", + "Ġnon profit", + "Ġpassion ate", + "ĠPriv ate", + "Ġ10 3", + "Ġdesc end", + "ç ¥ŀ", + "uff y", + "head ed", + "Whe ther", + "ri en", + "ze ch", + "be it", + "Ġch rom", + "ĠMc M", + "Ġd ancing", + "Ġe leg", + "ĠNot iced", + "11 5", + "Ġadvoc acy", + "ENT S", + "amb ling", + "ĠMin or", + "ĠF inn", + "Ġprior ities", + "Ġthere of", + "ĠSt age", + "ĠRog ers", + "Ġsubst itute", + "ĠJ ar", + "ĠJeff erson", + "Ġlight ly", + "10 2", + "ĠL isa", + "u its", + "ys ical", + "Ġshif ts", + "Ġd rones", + "Ġwork place", + "Ġres id", + "ens ed", + "ah n", + "Ġpref erences", + "ser ver", + "Ġdeb ates", + "d oc", + "ĠGod s", + "Ġhelicop ter", + "Ġhon our", + "Ġconsider ably", + "ed ed", + "ĠF emale", + "ĠAn ne", + "Ġre un", + "ĠF ace", + "ĠHall ow", + "ĠBud get", + "Ġcondem n", + "Ġt ender", + "Pro f", + "ocr atic", + "ĠTurn er", + "ĠAg ric", + "Ġ19 76", + "Ġa pt", + "d isc", + "ĠF ighter", + "ĠA ur", + "Ġgar bage", + "in put", + "ĠK arl", + "ĠOl iver", + "ĠL anguage", + "k n", + "N on", + "ĠCl ar", + "Ġtrad itions", + "Ġad vertisement", + "ĠS or", + "Ġarch ive", + "Ġvill ages", + "7 50", + "Ġimplement ing", + "w aukee", + "Ġdiet ary", + "Ġswitch ing", + "Rep ublic", + "Ġvel ocity", + "Ġc it", + "ĠA wards", + "Ġfin ancing", + "Ġlast ed", + ") ]", + "Ġrem inder", + "P erson", + "Ġprec ision", + "Ġdesign ers", + "ĠF ried", + "ĠB order", + "Ġtr agic", + "Ġw ield", + "Ġiniti atives", + "ĠT ank", + "w er", + "Ġjo ins", + "R o", + "in ery", + "Ġar row", + "Ġgener ating", + "found er", + "Ġsear ches", + "Ġrandom ly", + "A ccess", + "Ġb atch", + "Ġp osed", + "l at", + "Ġpursu ing", + "as a", + "Ġtest ified", + "form ing", + "ĠSh ar", + "w iki", + "ĠE ither", + "S ometimes", + "Ġsen ators", + "ĠJohn ny", + "ĠTal iban", + "ĠG PS", + "\":\" /", + "ãģ® å", + "Ġanaly zed", + "ĠRub io", + "ĠMove ment", + "op ard", + "ii i", + "St and", + "f ight", + "Ġign oring", + "i ang", + "ĠG N", + "so ever", + "ĠST AT", + "Ġref using", + "Ġswe at", + "Ġb ay", + "P ORT", + "ir med", + "ak y", + "Ġdis pro", + "Ġlabel ed", + "Ġ10 8", + "H ello", + "Ġple asant", + "ab a", + "Ġtri umph", + "Ġab oard", + "Ġinc om", + "ĠC row", + "le tt", + "Ġfol k", + "Ġch ase", + "` `", + "ĠBr us", + "Ġte ens", + "c ue", + "Ġter rain", + "h yd", + "il ight", + "OR Y", + "Su pport", + "ew s", + "ll i", + "rain ts", + "ĠC and", + "Ġab used", + "ach ment", + "l arg", + "B as", + "ĠC ancer", + "Ġ19 78", + "Ġsupp orter", + "ac cess", + "ĠTer min", + "ĠT ampa", + "ĠAN Y", + "Ġnew est", + "ĠCrim inal", + "ed u", + "Ġ19 30", + "Ġadm its", + "Ġend e", + "Ġfail ures", + "ur ate", + "ful ness", + "cy cl", + "ĠSub ject", + "Ġinf inite", + "th ree", + "W A", + "p it", + "ĠInst all", + "R ad", + "ili ation", + "G M", + "Ġcontin ent", + "Ġaccommod ate", + "ĠCl ay", + "Ġp up", + "ĠF unction", + "Ġham mer", + "ĠAlbert a", + "Ġrev ised", + "Ġminor ities", + "Ġmeasure ment", + "Con nell", + "Ġdis able", + "ĠM ix", + "In cre", + "Ġfor k", + "ĠR osen", + "Ġimpl ies", + "umb lr", + "AN G", + "Ġprote ins", + "Ġagg ression", + "Ġfacilit ate", + "S N", + "Ġilleg ally", + "u er", + "Ġacad em", + "Ġp uzz", + "ĠSh ift", + "p ay", + "oll o", + "Ġaud iences", + "B uild", + "Ġno ble", + "Ġsynt ax", + "â ĺħ", + "Ġbe am", + "ĠB ed", + "ĠA ld", + "Ġorig ins", + "v ideo", + "Ġ19 77", + "ĠAss ault", + "Ġgar age", + "Te am", + "Ġver dict", + "Ġd war", + "ĠVirt ual", + "e vent", + "Ke ep", + "Ġsent iment", + "Ġwild life", + "sh irt", + "Ġb urg", + "Ġrecommend ation", + "rep resent", + "Ġgall ery", + "own ers", + "Ġsch olar", + "Ġconven ience", + "ĠSw ift", + "Ġconv inc", + "C ap", + "Ġwar fare", + "ĠVis ual", + "Ġconst itute", + "Ġab ort", + "ĠWe ather", + "ĠLook ing", + "ĠH em", + "Ġmart ial", + "Ġinc oming", + "et ition", + "Ġtoler ance", + "ĠCre ated", + "Ġfl ows", + "ĠE lder", + "Ġsoul s", + "Ġf oul", + "ĠP ain", + "ĠC AN", + "Ġ2 20", + "b c", + "he nd", + "Ġgen ius", + "R eal", + "ĠW r", + "omet er", + "p ad", + "Ġlim iting", + "ĠS i", + "ĠL ore", + "ĠAd ventures", + "Ġvar ied", + "D isc", + "f in", + "ĠPerson al", + "Ch ris", + "Ġinv ented", + "Ġd ive", + "ĠR ise", + "Ġo z", + "ĠCom ics", + "Ġexp ose", + "ĠRe b", + "let ters", + "s ite", + "im ated", + "Ġh acking", + "Ġeduc ated", + "ĠNob ody", + "Ġdep ri", + "Ġincent ive", + "ãĤ ·", + "Ġovers ight", + "Ġtrib es", + "ĠBelg ium", + "Ġlicens ing", + "our t", + "Produ ct", + "ah l", + "ĠG em", + "Ġspecial ist", + "Ġc ra", + "ann ers", + "ĠCor byn", + "Ġ19 73", + "RE AD", + "Ġsum mar", + "Ġover look", + "ĠApp lication", + "Ġin appropriate", + "Ġdownload ed", + "Q ue", + "ĠB ears", + "Ġth umb", + "ĠChar acter", + "ĠReincarn ated", + "ĠS id", + "Ġdemonstr ates", + "s ky", + "ĠBloom berg", + "ĠAr ray", + "ĠRes ults", + "ĠFour th", + "ĠED T", + "ĠO scar", + "c end", + "Ġ10 6", + "ĠN ULL", + "ĠH ERE", + "m atch", + "ĠBr un", + "Ġgluc ose", + "ie g", + "eg u", + "Ġcert ified", + "Ġrel ie", + "Ġhuman itarian", + "Ġpr ayers", + "K ing", + "Ġn an", + "h ou", + "10 8", + "ul u", + "Ġrenew able", + "Ġdistingu ish", + "Ġd ense", + "ĠV ent", + "ĠPack age", + "ĠB oss", + "Ġedit ors", + "Ġm igr", + "T ra", + "ĠPet ers", + "ĠAr ctic", + "200 4", + "ĠC ape", + "Ġloc ally", + "Ġlast ing", + "Ġhand y", + ". ).", + "P an", + "ĠR ES", + "Ind ex", + "Ġt ensions", + "Ġformer ly", + "Ġide ological", + "Ġsens ors", + "Ġdeal ers", + "Ġdef ines", + "S k", + "Ġproceed s", + "Ġpro xy", + "az ines", + "ĠB ash", + "ĠP ad", + "ĠC raft", + "eal ous", + "Ġshe ets", + "omet ry", + "J une", + "cl ock", + "T T", + "ĠThe atre", + "ĠB uzz", + "Ġch apters", + "Ġmill enn", + "Ġd ough", + "ĠCongress ional", + "Ġimag ined", + "av ior", + "Ġclin ic", + "Ġ19 45", + "Ġhold er", + "ro ot", + "oles ter", + "Ġrest art", + "B N", + "ĠHam as", + "ĠJ ob", + "Ġor b", + "Ġr am", + "Ġdiscl ose", + "Ġtransl ate", + "Ġimm igrant", + "Ġannoy ing", + "Ġtreat y", + "an ium", + "ĠTe a", + "ĠLeg ion", + "Ġcrowd s", + "ĠB ec", + "ĠA er", + "oh yd", + "B ro", + "Look ing", + "Ġl bs", + "Ġagg ress", + "Ġse am", + "Ġinter cept", + "ĠM I", + "mer cial", + "act iv", + "ĠC it", + "Ġdim ension", + "Ġconsist ency", + "Ġr ushing", + "ĠDou glas", + "Ġtr im", + "Inst all", + "ick er", + "Ġsh y", + "10 6", + "Ġment ions", + "pe lled", + "ĠT ak", + "c ost", + "Ġclass room", + "Ġfort une", + "dri ven", + "Ġun le", + "ĠWhe el", + "Ġinvest or", + "ĠM asters", + "k it", + "Ġassoci ations", + "ĠEv olution", + "op ing", + "us cript", + "Ġprov incial", + "ĠWal ter", + "av i", + "S O", + "Ġun limited", + "Eng lish", + "ĠC ards", + "ĠEb ola", + "ne red", + "Ġreven ge", + "Ġout right", + "um per", + "Ġf itting", + "ĠSol id", + "Ġform ally", + "Ġproblem atic", + "Ġhaz ard", + "Ġenc ryption", + "Ġstraight forward", + "ĠA K", + "Ġp se", + "ĠOr b", + "ĠCh amber", + "ĠM ak", + "Cont ents", + "Ġloyal ty", + "Ġl yrics", + "ĠSy m", + "Ġwel comed", + "Ġcook ed", + "Ġmon op", + "Ġn urse", + "Ġmis leading", + "Ġe ternal", + "Ġshif ting", + "Ġ+ =", + "V is", + "Ġinst itutional", + "ill ary", + "Ġp ant", + "VER T", + "ĠA CC", + "ĠEn h", + "Ġinc on", + "ĠRE UTERS", + "Ġdon ated", + "âĢ¦âĢ¦ âĢ¦âĢ¦", + "In tern", + "Ġexhib it", + "Ġt ire", + "ĠR ic", + "ĠCh ampion", + "ĠMu hammad", + "N ING", + "ĠSoc cer", + "Ġmob ility", + "Ġvary ing", + "ĠM ovie", + "Ġl ord", + "o ak", + "F ield", + "Ġve ctor", + "us ions", + "Ġsc rap", + "Ġen abling", + "m ake", + "T or", + ". *", + "| |", + "ĠWe bsite", + "ĠN PC", + "Ġsocial ist", + "ĠBill y", + "ĠAdd itional", + "Ġc argo", + "Ġfar ms", + "ĠSo on", + "ĠPri ze", + "Ġmid night", + "Ġ9 00", + "se en", + "ĠSp ot", + "Ġshe ep", + "Ġspons ored", + "ĠH i", + "ĠJ ump", + "Ġ19 67", + "Micro soft", + "ĠAg ent", + "Ġch arts", + "d ir", + "Ġadj acent", + "Ġtr icks", + "Ġman ga", + "Ġex agger", + "/ >", + "foot ball", + "ĠF CC", + "G C", + "ĠT ier", + "and ra", + "OU ND", + "% ),", + "Ġfru its", + "V C", + "ĠA A", + "R ober", + "Ġmid st", + "â Ĺ", + "ank a", + "Ġlegisl ature", + "ĠNe il", + "Ġtour ists", + "\" \"", + "ĠWar ning", + "ĠNever theless", + "ĠOffic ial", + "ĠWh atever", + "Ġm old", + "Ġdraft ed", + "Ġsubst ances", + "Ġbre ed", + "Ġt ags", + "ĠT ask", + "Ġver b", + "Ġmanufact ured", + "com ments", + "ĠPol ish", + "Pro v", + "Ġdetermin es", + "Ob ama", + "k ers", + "Ġutter ly", + "Ġse ct", + "sc he", + "ĠG ates", + "ĠCh ap", + "Ġal uminum", + "Ġz ombie", + "ĠT ouch", + "ĠU P", + "Ġsatisf y", + "Ġpred omin", + "asc ript", + "Ġelabor ate", + "Ġ19 68", + "Ġmeas uring", + "ĠV ari", + "any ahu", + "Ġs ir", + "ul ates", + "id ges", + "ick ets", + "ĠSp encer", + "T M", + "oub ted", + "Ġpre y", + "Ġinstall ing", + "ĠC ab", + "re ed", + "re ated", + "Su pp", + "Ġwr ist", + "ĠK erry", + "10 7", + "ĠK le", + "ĠR achel", + "Ġc otton", + "ĠA RE", + "ĠE le", + "Cont rol", + "Ġload s", + "ĠD od", + "an as", + "b one", + "Ġclass ical", + "ĠReg ional", + "ĠInt eg", + "V M", + "Ġdes ires", + "Ġaut ism", + "support ed", + "ĠM essage", + "Ġcomp act", + "writ er", + "Ġ10 9", + "ĠHur ricane", + "c ision", + "Ġcy cles", + "Ġdr ill", + "Ġcolle ague", + "Ġm aker", + "G erman", + "Ġmist aken", + "S un", + "ĠG ay", + "Ġwhat soever", + "Ġsell s", + "ĠA irl", + "l iv", + "ĠO ption", + "Ġsol ved", + "Ġse ctors", + "Ġhorizont al", + "Ġequ ation", + "ĠSk ill", + "ĠB io", + "g ement", + "ĠSn ap", + "ĠLeg al", + "Ġtradem ark", + "Ġmake up", + "Ġassemb led", + "Ġsa ves", + "ĠHallow een", + "ĠVer mont", + "ĠFR OM", + "Ġfar ming", + "ĠP odcast", + "accept able", + "ĠHig her", + "Ġas leep", + "ull ivan", + "Ġrefere n", + "ĠLe v", + "Ġbul lets", + "ok o", + "H C", + "Ġst airs", + "Ġmain tains", + "ĠL ower", + "ĠV i", + "Ġmar ine", + "Ġac res", + "Ġcoordin ator", + "ĠJ oh", + "Ġcounterpart s", + "ĠBrother s", + "Ġind ict", + "b ra", + "Ġch unk", + "Ġc ents", + "H ome", + "ĠMon th", + "Ġaccording ly", + "if les", + "ĠGerm ans", + "ĠSy n", + "H ub", + "Ġey eb", + "âĶĢâĶĢ âĶĢâĶĢ", + "Ġr anges", + "ĠHoll and", + "ĠRob ot", + "f c", + "M ike", + "Ġpl asma", + "Ġsw ap", + "Ġath lete", + "ĠR ams", + ",' \"", + "Ġinfect ions", + "Ġcor rid", + "Ġv ib", + "Ġpat ches", + "Ġtradition ally", + "Ġrevel ation", + "Ġswe ep", + "Ġgl ance", + "Ġin ex", + "200 3", + "ĠR aw", + "work ing", + "os ures", + "ĠD at", + "ĠLyn ch", + "Ġle verage", + "ĠRe id", + "Ġcorrel ation", + "ian ces", + "av ascript", + "Ġrep ository", + "ret ty", + "Ġ19 72", + "24 0", + "Ġo un", + "p ol", + "ĠRe ed", + "Ġtact ical", + "is ite", + "App le", + "ĠQu inn", + "Ġrap ed", + "ill o", + "Euro pe", + "Ġalgorith ms", + "ĠRod rig", + "i u", + "Ġill um", + "Ġf ame", + "Ġintrodu cing", + "Ġdel ays", + "ĠRaid ers", + "Ġwh istle", + "Ġnovel s", + "ĠRe ally", + "Ġder iv", + "Ġpublic ations", + "ĠNe ither", + "ĠCom merce", + "Ġa ston", + "l anguage", + "Not es", + "ĠR oth", + "ĠF ear", + "Ġm ate", + "Ġpar ade", + "ĠQ B", + "Ġman eu", + "ĠC incinnati", + "m itting", + "Ġwa ist", + "ĠR ew", + "Ġdisc ont", + "Ð °", + "Ġst aring", + "Ġal ias", + "Ġsec urities", + "Ġtoile t", + "ĠJ edi", + "Ġun law", + "v ised", + "//// ////", + "] (", + "ĠWe iss", + "Ġpre st", + "ĠComp an", + "Ġmem o", + "ĠGr ace", + "J uly", + "ĠEl ite", + "cent er", + "ĠSt ay", + "Ġgal axy", + "Ġto oth", + "ĠS ettings", + "Ġsubject ed", + "ãĤ ¦", + "Ġline back", + "Ġretail ers", + "ĠW ant", + "Ġd angers", + "A ir", + "Ġvolunt ary", + "ew ay", + "Ġinterpret ed", + "ot ine", + "à §", + "Ġp el", + "Serv ice", + "ĠEvent ually", + "Ġcare ers", + "Ġthreat en", + "Ġmem or", + "ĠBrad ley", + "anc ies", + "s n", + "ĠUn known", + "N ational", + "Ġsh adows", + "ail and", + "ĠD ash", + "Every one", + "izz ard", + "M arch", + "= (", + "Ġpull s", + "Ġstr anger", + "Ġback wards", + "ĠBern ard", + "imens ional", + "Ġch ron", + "Ġtheoret ical", + "k top", + "Ġw are", + "ĠInvest ig", + "ĠIn iti", + "ĠOper ations", + "o ven", + "oc ide", + "* /", + "Ġfl ames", + "ĠC ash", + "sh it", + "Ġc ab", + "ĠAn aly", + "ĠSe ah", + "Ġdefin ing", + "Ġorder ing", + "Ġimm un", + "Ġpers istent", + "AC H", + "Russ ian", + "m ans", + "Ġh ind", + "Ġphot ography", + " ©", + "Ġh ug", + "Ġ10 7", + "ĠH ence", + "i ots", + "ude au", + "Ġsubsid ies", + "Ġroutine ly", + "ĠDev ice", + "it ic", + "Ġdisg ust", + "land er", + "Ġ19 40", + "Ġassign ment", + "ĠB esides", + "w ick", + "ĠD ust", + "us c", + "struct ed", + "11 1", + "de velop", + "Ġf ond", + "Ġinter section", + "Ġdign ity", + "Ġcommission er", + "With out", + "re ach", + "Ġcart oon", + "Ġsc ales", + "ãĥ Ń", + "F IG", + "Ġsurve ys", + "ĠIndones ia", + "Ġart work", + "Ġun ch", + "Ġcy cling", + "un ct", + "au er", + "or ate", + "ĠOb viously", + "Ġcharacter ized", + "fe ld", + "Ġaff irm", + "Ġinn ings", + "Ġ é", + "Ġal iens", + "Ġcl oth", + "et ooth", + "ĠC ertain", + " §", + "Ġdig est", + "k now", + "ĠX L", + "Ġpredict ions", + "Ġd in", + "W AR", + "Ġafter math", + "Ex ample", + "ĠSu ccess", + "ĠTh r", + "IG N", + "Ġmin er", + "B us", + "Ġcl arity", + "heim er", + "ĠO UT", + "ĠS end", + "ĠCirc le", + "ĠD iet", + "Ġpron ounced", + "Ġcreat ors", + "Ġearthqu ake", + "atter y", + "ge ons", + "Ġo d", + "Ġlay ing", + "or p", + "U lt", + "pro ject", + "Ġunder min", + "Ġsequ el", + "S am", + "ĠDark ness", + "Ġre ception", + "b ull", + "Y S", + "ĠV ir", + "Ġsequ ences", + "ĠCo in", + "Ġout fit", + "ĠW ait", + "1 19", + "Ġdel ivers", + ".... ..", + "Ġbl own", + "ĠE sc", + "ĠM ath", + "per m", + "ĠU l", + "Ġgl im", + "Ġfac ial", + "Ġgreen house", + "Ġto kens", + "/ -", + "ĠAnn ual", + "ĠON E", + "Ġteen age", + "ĠPhys ical", + "ĠL ang", + "ĠC elt", + "Ġsu ed", + "ivid ually", + "Ġpat ience", + "ch air", + "reg ular", + "Ġa ug", + "in v", + "ex cept", + "ĠL il", + "Ġn est", + "f d", + "s um", + "ĠCh ase", + "Russ ia", + "ĠJenn ifer", + "Ġoff season", + "Over all", + "F ore", + "Ġr iot", + "A ud", + "form er", + "Ġdefend ers", + "ĠC T", + "iot ic", + "rib ly", + "Ġautom ated", + "Ġpen is", + "Ġins ist", + "Ġdi agram", + "ĠS QL", + "ĠG arc", + "Ġw itch", + "cl ient", + "ier ra", + "am bers", + "Ġrec ount", + "f ar", + "V ery", + "oster one", + "Ġappreci ated", + "ĠPer fect", + "S ection", + "Ġd oses", + "oca ust", + "Ġcost ly", + "Ġg rams", + "ĠSh i", + "Ġwrest ling", + "Ġ19 71", + "Ġtro phy", + "Ġn erve", + "ĠK az", + "ĠExper ience", + "Ġpled ged", + "Ġplay back", + "Ġcreat ivity", + "by e", + "Ġattack ers", + "Ġhold ers", + "ĠCo ach", + "ĠPh D", + "Ġtransf ers", + "Ġcol ored", + "ĠH indu", + "Ġd rown", + "Ġlist ened", + "ĠW A", + "ias m", + "P O", + "Ġappeal ing", + "Ġdiscl osed", + "ĠCh icken", + "ag ging", + "Ġple aded", + "Ġnav igation", + "ĠReturn s", + "Ġ[ [", + "R OR", + "E A", + "Ġphotograp her", + "ĠR ider", + "ipp ers", + "Ġsl ice", + "Ġe rect", + "Ġhe d", + "iss ance", + "ĠVik ings", + "ur ious", + "Ġapp et", + "oubted ly", + "Ch ild", + "Ġauthent ic", + "o os", + "ĠM aking", + "Ġannoun cing", + "Ġb od", + "Ġmet er", + "ĠN ine", + "ĠR ogue", + "Ġwork force", + "Ġrenew ed", + "Ġorganis ations", + "ac s", + "P LE", + "Sh ort", + "Ġcomp ounds", + "ĠVis it", + "Ġen velop", + "ear th", + "Ġsupport ive", + "gg le", + "ĠBrus sels", + "ĠGu ild", + "Cre ate", + "RE L", + "Ġaver aged", + "Ġ19 69", + "ri ages", + "Ġlength y", + "Ġforg ot", + "O kay", + "ĠE rd", + "Ġdeal er", + "Ġrec ession", + "D D", + "Ġdesper ately", + "Ġhun ger", + "Ġst icks", + "Ġm ph", + "ĠF aith", + "Ġintention ally", + "Ġdem ol", + "ue ller", + "ĠS ale", + "Ġde bris", + "s pring", + "Ġle ap", + ">> >>", + "Ġcontain ers", + "se lling", + "rane an", + "atter ing", + "Ġcomment ed", + "ĠC M", + "on ut", + "Ġwood s", + "es pecially", + "Ġorgan ize", + "iv ic", + "ĠWood s", + "ang a", + "s qu", + "Ġm aj", + "am on", + "Ġax is", + "Ġ19 74", + "ĠDen mark", + "Ġwar rior", + "ĠP and", + "Ġout lined", + "ĠB O", + "ins ula", + "z illa", + "eb ook", + "Ġd are", + "Ġsear ched", + "Ġnav igate", + "S n", + "writ ing", + "Ġun ited", + "J apan", + "ĠHe brew", + "Ġfl ame", + "Ġrel ies", + "Ġcatch ing", + "ĠSh o", + "Ġimprison ment", + "Ġp ockets", + "Ġclos ure", + "ĠF am", + "t im", + "ade qu", + "Act ivity", + "Ġrecru iting", + "ĠW ATCH", + "ĠArgent ina", + "d est", + "Ġapolog ize", + "or o", + "Ġlack s", + "Ġtun ed", + "ĠGriff in", + "Ġinf amous", + "Ġcelebr ity", + "ss on", + "Ġ ----------------------------------------------------------------", + "ĠIs is", + "ĠDis play", + "Ġcred ibility", + "Ġeconom ies", + "Ġhead line", + "ĠCow boys", + "Ġind ef", + "Ġl ately", + "Ġincent ives", + "but ton", + "ĠM ob", + "A ut", + "Ġres igned", + "ĠO m", + "c amp", + "Ġprof iles", + "Ġsche mes", + "olph ins", + "ay ed", + "Cl inton", + "en h", + "ĠY ahoo", + "Ġab st", + "Ġan k", + "su its", + "Ġw ished", + "ĠMar co", + "udd en", + "Ġsp here", + "ĠB ishop", + "Ġincorpor ated", + "ĠPl ant", + "11 4", + "Ġh ated", + "p ic", + "Ġdon ate", + "Ġl ined", + "Ġbe ans", + "Ġsteal ing", + "Ġcost ume", + "Ġsher iff", + "Ġfor ty", + "Ġint act", + "Ġadapt ed", + "Ġtrave lling", + "b art", + "Ġnice ly", + "Ġdri ed", + "Ġsc al", + "os ity", + "NOT E", + "ĠB h", + "ĠBron cos", + "ĠI gn", + "Ġint imate", + "Ġchem istry", + "Ġopt imal", + "D eb", + "ĠGener ation", + "Ġ] ,", + "ich i", + "ĠW ii", + "ĠYOU R", + "vent ions", + "W rite", + "Ġpop ul", + "un ning", + "ĠW or", + "V ol", + "Ġqu een", + "head s", + "K K", + "Ġanaly ze", + "op ic", + "ear chers", + "Ġd ot", + "leg raph", + "ast ically", + "Ġupgr ades", + "Ġca res", + "Ġext ending", + "Ġfree ze", + "Ġin ability", + "Ġorg ans", + "Ġpret end", + "Ġout let", + "11 3", + "ol an", + "ĠM all", + "ul ing", + "t alk", + "Ġexpress ing", + "ĠAl ways", + "ĠBe gin", + "f iles", + "Ġlic enses", + "% %", + "ĠM itt", + "Ġfil ters", + "ĠMil waukee", + "G N", + "Ġunf old", + "M o", + "Ġnut rition", + "pp o", + "B o", + "Ġfound ing", + "Ġunder mine", + "Ġeas iest", + "ĠC zech", + "ĠM ack", + "Ġsexual ity", + "ĠN ixon", + "W in", + "ĠAr n", + "ĠK in", + "ãĤ £", + "ic er", + "Ġfort un", + "Ġsurf aces", + "agh d", + "Ġcar riers", + "ĠP ART", + "ĠT ib", + "Ġinter val", + "Ġfrust rating", + "ĠSh ip", + "ĠAr med", + "ff e", + "Ġbo ats", + "ĠAb raham", + "in is", + "Ġsu ited", + "th read", + "i ov", + "ab ul", + "ĠVenezuel a", + "Ġto m", + "su per", + "Ġcast le", + "alth ough", + "iox ide", + "ec hes", + "Ġevolution ary", + "Ġnegoti ate", + "Ġconfront ed", + "Rem ember", + "Ġ17 0", + "S uch", + "Ġ9 11", + "m ult", + "ĠA byss", + "ur ry", + "ke es", + "spe c", + "ĠBarb ara", + "Ġbelong ing", + "Ġvill ain", + "ist ani", + "Ġaccount able", + "Ġport ions", + "ĠDe cl", + "U r", + "ĠK ate", + "g re", + "Ġmag azines", + "UC K", + "Ġregul ate", + "om on", + "ĠAl most", + "Ġover view", + "Ġsc ram", + "Ġl oot", + "ĠF itz", + "Ġcharacter istic", + "ĠSn ake", + "s ay", + "ĠR ico", + "Ġtra it", + "ĠJo ined", + "au cus", + "Ġadapt ation", + "ĠAirl ines", + "Ġarch ae", + "ĠI de", + "Ġb ikes", + "Ġliter ary", + "Ġinflu ences", + "ĠUs ed", + "C reat", + "Ġple a", + "ĠDef ence", + "ĠAss ass", + "Ġp ond", + "UL T", + ") \"", + "Ġeval uated", + "Ġob taining", + "Ġdem ographic", + "Ġvig il", + "ale y", + "Ġsp ouse", + "ĠSeah awks", + "resp ons", + "ĠB elt", + "um atic", + "Ġr ises", + "run ner", + "ĠMichel le", + "Ġpot ent", + "r ace", + "ĠP AC", + "F ind", + "olester ol", + "IS S", + "ĠIntrodu ced", + "ress es", + "ign ment", + "O s", + "ĠT u", + "ĠDe x", + "ic ides", + "Ġspark ed", + "ĠLaur a", + "ĠBry ant", + "Ġsm iling", + "ĠNex us", + "Ġdefend ants", + "ĠCat al", + "Ġdis hes", + "sh aped", + "Ġpro long", + "m t", + "( $", + "ãĢ Ĥ", + "Ġcalcul ations", + "ĠS ame", + "Ġp iv", + "H H", + "Ġcance lled", + "Ġgr in", + "Ġterrit ories", + "ist ically", + "C ome", + "ĠP arent", + "Pro ject", + "Ġneg lig", + "ĠPriv acy", + "Ġam mo", + "LE CT", + "olute ly", + "ĠEp ic", + "Ġmis under", + "w al", + "Apr il", + "m os", + "path y", + "ĠC arson", + "Ġalbum s", + "ĠE asy", + "Ġpist ol", + "< <", + "Ġ\\ (", + "t arget", + "hel p", + "Ġinter pre", + "cons cious", + "ĠH ousing", + "ĠJ oint", + "12 7", + "Ġbe ers", + "s cience", + "ĠFire fox", + "effect ive", + "ĠC abin", + "ĠO kay", + "ĠApp lic", + "Ġspace craft", + "ĠS R", + "ve t", + "ĠStr ange", + "S B", + "Ġcor ps", + "iber al", + "e fficient", + "Ġpreval ence", + "Ġeconom ists", + "11 8", + "Th read", + "ord able", + "OD E", + "ĠC ant", + "=- =-", + "if iable", + "ĠA round", + "Ġpo le", + "Ġwilling ness", + "CL A", + "ĠK id", + "Ġcomple ment", + "Ġsc attered", + "Ġin mates", + "Ġble eding", + "e very", + "Ġque ue", + "ĠTr ain", + "Ġh ij", + "Ġme lee", + "ple ted", + "Ġdig it", + "Ġg em", + "offic ial", + "Ġlif ting", + "Ð µ", + "Re qu", + "it utes", + "Ġpack aging", + "ĠWork ers", + "h ran", + "ĠLeban on", + "ol esc", + "Ġpun ished", + "ĠJ uan", + "Ġj am", + "ĠD ocument", + "Ġm apping", + "ic ates", + "Ġinev itably", + "Ġvan illa", + "ĠT on", + "Ġwat ches", + "Ġle agues", + "Ġiniti ated", + "deg ree", + "port ion", + "Ġrec alls", + "Ġru in", + "Ġm elt", + "I AN", + "Ġhe m", + "Ex p", + "Ġb aking", + "ĠCol omb", + "at ible", + "Ġrad ius", + "pl ug", + "ĠI F", + "et ically", + "Ġf ict", + "H ER", + "ĠT ap", + "atin um", + "Ġin k", + "Ġco h", + "ĠW izard", + "b oth", + "te x", + "Ġsp ends", + "ĠCurrent ly", + "ĠP it", + "Ġneur ons", + "ig nt", + "Ġr all", + "Ġbus es", + "b uilding", + "Ġadjust ments", + "Ġc ried", + "ibl ical", + "att ed", + "ĠZ ion", + "ĠM atter", + "Ġmed itation", + "ĠD ennis", + "Ġour s", + "ĠT ab", + "Ġrank ings", + "ort al", + "Ġad vers", + "Ġsur render", + "ĠG ob", + "ci um", + "om as", + "im eter", + "Ġmulti player", + "Ġhero in", + "Ġoptim istic", + "Ġindic ator", + "ĠBr ig", + "Ġgro cery", + "Ġapplic ant", + "ĠRock et", + "v id", + "Ex ception", + "p ent", + "Ġorgan izing", + "Ġenc ounters", + "ĠT OD", + "Ġjew el", + "S ave", + "ĠChrist ie", + "Ġhe ating", + "Ġl azy", + "ĠC P", + "Ġcous in", + "Con fig", + "Ġreg ener", + "Ġne arest", + "Ġachie ving", + "EN S", + "th row", + "ĠRich mond", + "ant le", + "200 2", + "Ġan ten", + "b ird", + "13 3", + "Ġn arc", + "r aint", + "un ny", + "ĠHispan ic", + "ourn aments", + "Ġprop he", + "ĠTh ailand", + "ĠT i", + "Ġinject ion", + "Ġinher it", + "rav is", + "Ġmed i", + "Ġwho ever", + "ĠDE BUG", + "G P", + "ĠH ud", + "C ard", + "p rom", + "Ġp or", + "Ġover head", + "L aw", + "Ġviol ate", + "Ġhe ated", + "Ġdescript ions", + "Ġachieve ments", + "ĠBe er", + "ĠQu ant", + "W as", + "Ġe ighth", + "ĠI v", + "Ġspecial ized", + "U PDATE", + "ĠD elta", + "P op", + "J ul", + "ĠAs k", + "oph y", + "Ġnews letters", + "ĠT ool", + "Ġg ard", + "ĠConf eder", + "ĠGM T", + "ĠAb bott", + "Ġimm unity", + "ĠV M", + "Is lam", + "Ġimpl icit", + "w d", + "Ġ19 44", + "rav ity", + "omet ric", + "Ġsurv iving", + "ur ai", + "ĠPr ison", + "Ġr ust", + "ĠSk etch", + "Ġbe es", + "ĠThe ory", + "Ġmer it", + "T ex", + "ch at", + "Ġm im", + "Ġpast e", + "ĠK och", + "Ġignor ance", + "ĠSh oot", + "Ġbas ement", + "Un ited", + "ĠAd vis", + "he ight", + "Ġf oster", + "Ġdet ain", + "in formation", + "Ġne ural", + "' ;", + "Ġprov es", + "all ery", + "Ġinv itation", + "um bers", + "Ġc attle", + "Ġbicy cle", + "z i", + "Ġconsult ant", + "Ġap ology", + "ĠT iger", + "Ġ12 3", + "99 9", + "Ġind ividually", + "r t", + "ig ion", + "ĠBrazil ian", + "Ġdist urb", + "Ġentreprene urs", + "Ġfore sts", + "cer pt", + "pl ates", + "p her", + "clip se", + "Ġtw itter", + "Ġac ids", + "ograph ical", + "h um", + "ĠB ald", + "if ully", + "Ġcomp iler", + "ĠD A", + "Ġdon or", + "as i", + "Ġtrib al", + "l ash", + "ĠCon fig", + "Ġapplic ants", + "Ġsal aries", + "13 5", + "Put in", + "ĠF ocus", + "ir s", + "Ġmisc onduct", + "ĠH az", + "Ġeat en", + "M obile", + "Mus lim", + "ĠMar cus", + "v iol", + "Ġfavor able", + "Ġst ub", + "ad in", + "ĠH ob", + "Ġfaith ful", + "Ġelectron ics", + "Ġvac uum", + "w ait", + "back ed", + "econom ic", + "d ist", + "Ġten ure", + "Ġsince re", + "ĠT ogether", + "ĠW ave", + "Ġprog ression", + "Ġden ying", + "Ġdist ress", + "br aska", + "th ird", + "Ġmix ing", + "Ġcolon ial", + "Ġpriv ately", + "Ġun rest", + "atern ity", + "Ġprem ises", + "ant i", + "greg ation", + "Ġlic ence", + "ĠH ind", + "ĠSam uel", + "Ġconvinc ing", + "ĠA ce", + "ĠR ust", + "ĠNet anyahu", + "Ġhand les", + "ĠP atch", + "orient ed", + "ah o", + "ĠG onz", + "Ġhack ers", + "claim er", + "Ġcustom s", + "ĠGr an", + "f ighters", + "Ġl uc", + "Ġman uscript", + "aren thood", + "Ġdev il", + "Ġwar riors", + "Ġoff enders", + "Will iam", + "Ġhol idays", + "Ġnight mare", + "Ġle ver", + "iff erent", + "St at", + "Ġexhib ition", + "put ed", + "ĠP ure", + "Ġal pha", + "Ġenthus iasm", + "ĠRepresent atives", + "E AR", + "ĠT yp", + "Ġwhe at", + "ĠAl f", + "Ġcor rection", + "Ġev angel", + "AT T", + "M iss", + "Ġs oup", + "Ġimpl ied", + "par am", + "Ġsex y", + "ĠL ux", + "Ġrep ublic", + "p atch", + "ab lish", + "Ġic ons", + "Ġfather s", + "ĠG ET", + "ĠCar ib", + "Ġregul ated", + "ĠCo hen", + "ĠBob by", + "Ġn er", + "Ġb ent", + "vent ory", + "ĠAl ong", + "ĠE ST", + "ĠWall ace", + "Ġmurd ers", + "r ise", + "ke ll", + "ĠCommon wealth", + "Ġn asty", + "et a", + "ĠM IT", + "Ġadminist ered", + "Ġgenuine ly", + "Ed itor", + "n ick", + "Ġhyd ro", + "**************** ****************", + "ĠB le", + "Ġfin es", + "Ġg orge", + "aus ible", + "r h", + "Ġapp le", + "ment ioned", + "Ġro pe", + "ot yp", + "H R", + "Ġdisappoint ing", + "Ġc age", + "n ik", + "Ġdoub ts", + "ĠF REE", + "print s", + "ĠM UST", + "Ġvend ors", + "ĠIn qu", + "Ġliber als", + "Ġcontract or", + "Ġup side", + "child ren", + "Ġtrick y", + "Ġregul ators", + "charg ed", + "l iter", + "Ġ ***", + "Ġreb ell", + "l ang", + "Ġloc als", + "Ġphys icians", + "Ġhe y", + "ar se", + "t m", + "ĠLe x", + "Ġbehavior al", + "success ful", + "F X", + "Ġbr ick", + "ov ic", + "Ġcon form", + "Ġreview ing", + "Ġins ights", + "Ġbi ology", + "ĠRem ove", + "ĠExt ra", + "Ġcomm itting", + "indu ced", + "ignt y", + "ig m", + "Ġat omic", + "Comm on", + "ĠE M", + "ĠP ere", + "ĠIt ems", + "e h", + "Ġpres erved", + "ĠH ood", + "Ġprison er", + "Ġbankrupt cy", + "Ġg ren", + "us hes", + "Ġexplo itation", + "Ġsign atures", + "Ġfin an", + "] ,\"", + "ĠM R", + "Ġme g", + "rem lin", + "Ġmusic ians", + "Ġselect ing", + "Ġexam ining", + "IN K", + "l ated", + "H i", + "Ġart ic", + "Ġp ets", + "Ġimp air", + "ĠM AN", + "Ġtable ts", + "in clude", + "R ange", + "Ġca ut", + "Ġlog s", + "Ġmount ing", + "Ġun aware", + "Ġdynam ics", + "ĠPalest ine", + "ĠQu arter", + "ĠPur ple", + "Ġm a", + "ĠIm port", + "Ġcollect ions", + "ci ation", + "Ġsuccess or", + "Ġcl one", + "Ġaim ing", + "Ġposs essed", + "Ġstick ing", + "Ġsh aking", + "Ġloc ate", + "ĠH ockey", + "T urn", + "17 0", + "Ġfif teen", + "ĠHar rison", + "Ġcontinu ously", + "ĠT C", + "ĠVal ent", + "ĠRes cue", + "Ġby pass", + "am ount", + "Ġm ast", + "Ġprotect s", + "Ġart istic", + "Ġsomet ime", + "Ġsh oe", + "Ġshout ed", + "ific ant", + "et itive", + "ĠReg ister", + "ĠJ in", + "Ġconcent rated", + "ling ton", + "on ies", + "Ġgener ator", + "yr im", + "ĠAr men", + "Ġclear ing", + "id o", + "ĠT W", + "al ph", + "Ġlad ies", + "H ard", + "Ġdial og", + "Ġinput s", + "æ ľ", + "Ġpos es", + "Ġsl ots", + "ĠPrem ium", + "Ġle aks", + "Ġboss es", + "Ġ11 3", + "c ourse", + "A cc", + "ĠNew ton", + "ĠAust ria", + "ĠM age", + "Ġte aches", + "ab ad", + "Ġwe ars", + "Ġc yl", + "Ġcur se", + "ĠS ales", + "ĠW ings", + "Ġp sy", + "Ġg aps", + "ĠIce land", + "ĠP interest", + "Ġland lord", + "Ġdefin itions", + "ĠK er", + "Ġsufficient ly", + "ĠP ence", + "ĠArch itect", + "Ġsur pass", + "Ġ11 4", + "Ġsuper hero", + "ĠDise ase", + "Ġpri ests", + "ĠC ulture", + "Ġdefin itive", + "Ġsecret ly", + "ĠD ance", + "inst all", + "ch ief", + "ĠJess ica", + "W ould", + "Up dated", + "Ġlock er", + "ĠK ay", + "Ġmem orial", + "è ¦", + "f at", + "Ġdis gu", + "Ġflav ors", + "ĠBase ball", + "ĠRes istance", + "Ġk icks", + "Ġen v", + "Ġteen agers", + "D ark", + "ĠC AR", + "Ġh alt", + "ĠL G", + "ĠGab riel", + "Ġfe ver", + "Ġs atur", + "Ġm all", + "Ġaffili ate", + "ĠS leep", + "ĠSpe cific", + "ĠV el", + "Ġj ar", + "ĠSac red", + "ĠEd wards", + "ĠA CL", + "Ġret ained", + "ĠG iant", + "Ġlim itation", + "in ces", + "Ġref usal", + "ĠT ale", + "ĠBut ler", + "Ġacc idents", + "ĠC SS", + "Ġimport ed", + "ĠCop y", + "Î ±", + "ER T", + "z el", + "Ġdiv isions", + "h ots", + "ĠAl b", + "ĠD S", + "Load er", + "W ashington", + "at isf", + "ĠCreat ive", + "\\ .", + "ĠAut om", + "red ict", + "Ġrecept or", + "ĠCarl os", + "Met hod", + "ok a", + "Ġmal icious", + "Ġste pping", + ", [", + "ĠD ad", + "Ġatt raction", + "ĠEffect s", + "ĠPir ate", + "ĠC er", + "ĠIndust ry", + "ĠR ud", + "Ġchar ter", + "Ġd ining", + "Ġins ists", + "Ġconfig ure", + "Ġ( #", + "ĠSim ple", + "ĠSc roll", + "UT C", + "17 5", + "ĠK on", + "Ġmarket place", + "Ġ ãĤ", + "Ġref res", + "Ġg ates", + "er red", + "ĠP od", + "Ġbeh ave", + "Fr ank", + "n ode", + "Ġendors ed", + "he tt", + "as ive", + "ĠHom eland", + "Ġr ides", + "ĠLe ave", + "er ness", + "Ġflood ing", + "A FP", + "Ġris en", + "Ġcontin ually", + "Ġun anim", + "ĠCont ract", + "ĠP as", + "Ġgu ided", + "ĠCh ile", + "b d", + "Ġsu cc", + "pt ic", + "Ġcomm ittees", + "ĠL uther", + "ĠAny one", + "Ġs ab", + "12 4", + "Ġp ixel", + "ĠB ak", + "ĠT ag", + "ĠBenn ett", + "En ter", + "sm all", + "ĠPresident ial", + "Ġp ul", + "Ġcontr ace", + "arch ive", + "Ġcoast al", + "ĠK ids", + "19 2", + "âĢ ²", + "ick y", + "ING TON", + "Ġw olf", + "ĠSt alin", + "T ur", + "id get", + "am as", + "ĠUn less", + "Ġspons or", + "Ġmor ph", + "ĠCho ose", + "Ġrun ner", + "Ġun bel", + "Ġm ud", + "ĠMan a", + "Ġdub bed", + "Ġg odd", + "ure rs", + "wind ow", + "Ġrel ied", + "Ġcelebr ating", + "os c", + "Ġ13 5", + "Ġlobb ying", + "Ġincom plete", + "Ġrestrict ion", + "Ġinc ap", + "it us", + "Ġexpect ation", + "ĠAp ollo", + "Ġint ens", + "Ġsyn c", + "G H", + "Ġmanip ulation", + "B Y", + "Ġspe ar", + "Ġbre asts", + "Ġvol can", + "il ia", + "M aterial", + "Ġform ats", + "ĠB ast", + "Ġparliament ary", + "Ġsn ake", + "Ġserv ants", + "ĠTr udeau", + "ĠGr im", + "ĠArab ic", + "ĠSC P", + "ĠBoy s", + "st ation", + "Ġprospect ive", + "ord e", + "in itialized", + "Ġb ored", + "AB LE", + "Ġaccess ed", + "Ġtax i", + "ĠShe ll", + "aid en", + "urs ed", + "in ates", + "ĠIns urance", + "ĠPet e", + "Sept ember", + "6 50", + "Ġad ventures", + "ĠCo ver", + "Ġt ribute", + "Ġsk etch", + "Ġem power", + "Ġ Ø", + "ĠGl enn", + "ĠD aw", + "= \\\"", + "ĠPolit ics", + "Ġgu ides", + "Ġd ioxide", + "ĠG ore", + "ĠBr ight", + "ĠS ierra", + "Ġval ued", + "c ond", + "Ġpo inter", + "Se lect", + "Ġrisk y", + "Ġabsor b", + "im ages", + "Ġref uses", + "Ġbon uses", + "__ _", + "Ġh ilar", + "ĠF eatures", + "2 20", + "ĠCollect or", + "F oot", + "Ġ19 64", + "cul us", + "Ġd awn", + "Ġwork out", + "ĠL O", + "Ġphilosoph ical", + "ĠSand y", + "ĠYou th", + "Ġl iable", + "A f", + "bl ue", + "Ġovert urn", + "less ness", + "ĠTrib une", + "ĠIn g", + "Ġfact ories", + "Ġcat ches", + "Ġpr one", + "Ġmat rix", + "Ġlog in", + "Ġin acc", + "Ġex ert", + "s ys", + "Ġneed le", + "ĠQ ur", + "Ġnot ified", + "ould er", + "t x", + "Ġremind s", + "Ġpublisher s", + "Ġn ort", + "Ġg it", + "Ġfl ies", + "ĠEm ily", + "Ġflow ing", + "ĠAl ien", + "ĠStr ateg", + "Ġhard est", + "Ġmod ification", + "AP I", + "ĠM Y", + "Ġcr ashes", + "st airs", + "n umber", + "Ġur ging", + "ch annel", + "ĠFal con", + "Ġinhabit ants", + "Ġterr ifying", + "Ġutil ize", + "Ġban ner", + "Ġcig arettes", + "Ġsens es", + "ĠHol mes", + "Ġpract ition", + "ĠPhill ips", + "ott o", + "Ġcomp ile", + "Mod el", + "ĠK o", + "Ġ[ ]", + "Americ ans", + "ĠTer ms", + "Ġmed ications", + "ĠAn a", + "Ġfundament ally", + "ĠNot ice", + "Ġwe aker", + "Ġ 0000", + "Ġgar lic", + "Ġout break", + "Ġeconom ist", + "ĠB irth", + "Ġobst acles", + "ar cer", + "ĠOr thodox", + "Ġplace bo", + "ĠC rew", + "asp berry", + "ĠAng els", + "Ġdis charge", + "Ġdestruct ive", + "11 7", + "ĠR ising", + "Ġd airy", + "l ate", + "Ġcoll ision", + "ĠTig ers", + "ean or", + "ocument ed", + "ĠIn valid", + "Ġd ont", + "ĠL iter", + "ĠV a", + "Ġhyd rogen", + "Ġvari ants", + "ĠBrown s", + "Ġ19 65", + "Ġind igenous", + "Ġtrad es", + "Ġremain der", + "Ġswe pt", + "ĠImp act", + "Ġred ist", + "Ġun int", + "grad uate", + "ãĥ ķ", + "ĠW ILL", + "ãģ® ç", + "ĠCrit ical", + "Ġf isher", + "Ġv icious", + "Ġrevers ed", + "Y ear", + "ĠS ox", + "Ġshoot ings", + "Ġfil ming", + "Ġtouchdown s", + "ai res", + "m el", + "Ġgrand father", + "Ġaffect ion", + "ing le", + "Ġover ly", + "Add itional", + "Ġsup reme", + "ĠGr ad", + "Ġsport ing", + "Ġmer cy", + "ĠBrook s", + "ount y", + "Ġperform s", + "Ġtight ly", + "Ġdem ons", + "Ġkill ings", + "Ġfact ion", + "ĠNov a", + "aut s", + "Ġund oubtedly", + "ar in", + "Ġunder way", + "ra k", + "Ġl iv", + "ĠReg ion", + "Ġbrief ing", + "s ers", + "cl oud", + "ĠM ik", + "us p", + "Ġpred iction", + "az or", + "Ġport able", + "ĠG and", + "Ġpresent ing", + "Ġ10 80", + " »", + "ush i", + "ĠSp ark", + "there um", + "Ġjust ification", + "ĠN y", + "Ġcontract ors", + "ming ham", + "ĠSt yle", + "å ħ", + "ĠChron icles", + "ĠPict ure", + "Ġprov ing", + "Ġw ives", + "set t", + "Ġmole cules", + "ĠFair y", + "Ġconsist ing", + "Ġp ier", + "al one", + "in ition", + "Ġn ucle", + "j son", + "Ġg otta", + "Ġmob il", + "Ġver bal", + "ar ium", + "Ġmon ument", + "uck ed", + "Ġ25 6", + "T ech", + "mine craft", + "ĠTr ack", + "Ġt ile", + "Ġcompat ibility", + "as is", + "Ġs add", + "Ġinstruct ed", + "ĠM ueller", + "Ġle thal", + "Ġhorm one", + "Ġor che", + "el se", + "Ġske let", + "Ġentert aining", + "Ġminim ize", + "ag ain", + "Ġunder go", + "Ġconst raints", + "Ġcig arette", + "ĠIslam ist", + "Ġtravel s", + "ĠPant hers", + "l ings", + "C are", + "Ġlaw suits", + "ur as", + "Ġcry st", + "Ġlow ered", + "Ġaer ial", + "Ġcomb inations", + "Ġha un", + "Ġch a", + "Ġv ine", + "Ġquant ities", + "Ġlink ing", + "b ank", + "Ġso y", + "B ill", + "ĠAngel a", + "Ġrecip ient", + "ĠProt est", + "Ġs ocket", + "Ġsolid arity", + "Ġâ Ĩ", + "m ill", + "Ġvar ies", + "ĠPak istani", + "Dr agon", + "Ġun e", + "Ġhor izon", + "³³³³ ³³³³", + "Ġprov inces", + "Ġfrank ly", + "Ġenact ed", + "not es", + "[ '", + "Ġ19 2", + "ocr acy", + "Ġendorse ment", + "Ġover time", + "Tr ue", + "L ab", + "lic ted", + "ĠD NC", + "Ġbe ats", + "ĠJam ie", + "15 2", + "ĠIN T", + "Cont act", + "Ġaccount ed", + "h ash", + "ĠPack ers", + "p ires", + "Ġles bian", + "Ġamend ments", + "Ġhop eful", + "ĠFin land", + "Ġspot light", + "Ġconfig ured", + "Ġtrou bled", + "Ġg aze", + "ĠCal gary", + "Ġrel iability", + "Ġins urg", + "sw er", + "b uy", + "ĠSk in", + "Ġp ixels", + "Ġhand gun", + "Ġpar as", + "Ġcateg or", + "ĠE L", + "ĠRe x", + "Ind eed", + "Ġkind a", + "Ġconj unction", + "ĠBry an", + "ĠMan ufact", + "y ang", + "Pl us", + "S QL", + "ish ment", + "Ġdom inate", + "Ġn ail", + "Ġo ath", + "Ġeru pt", + "ĠF ine", + "it bart", + "ĠCh ip", + "ĠAb d", + "ĠN am", + "Ġbuy er", + "Ġdiss ent", + "Le aks", + "Cont in", + "Ġr ider", + "ĠSome one", + "Ġill usion", + "c in", + "ĠBoe ing", + "Ġin adequ", + "ov ation", + "i ants", + "Ġreb uild", + "4 50", + "ĠDest iny", + "S W", + "ĠT ill", + "H it", + "ia z", + "ĠBang l", + "acher s", + "ĠRe form", + "Ġse gments", + "Ġsystem atic", + "d c", + "ĠConserv atives", + "Ġport al", + "h or", + "ĠDragon bound", + "Ġdrag ged", + "om o", + "Ġthe e", + "ad vert", + "ĠRep orts", + "ĠE t", + "Ġbarrel s", + "Aug ust", + "Ġcompar isons", + "Ġhe x", + "Ġan throp", + "\" [", + "bor ough", + "ab i", + "Ġpict ured", + "play ing", + "ĠAdd ress", + "ĠMir ror", + "Sm ith", + "Ġt ires", + "ĠN PR", + "AA AA", + "Ġclass ification", + "ĠTh an", + "ĠH arm", + "ĠR A", + "Ġreject ion", + "min ation", + "Ġr anged", + "ĠF alls", + "D I", + "H ost", + "ãĤ ´", + "ĠEx ample", + "list ed", + "th irds", + "Ġsaf egu", + "br and", + "Ġprob able", + "Can ada", + "IT ION", + "ĠQ aeda", + "Ġch ick", + "Ġimport s", + "h it", + "l oc", + "W W", + "Ġble w", + "Ġany time", + "Ġwh oles", + "ik ed", + "Ġcal culation", + "cre ate", + "ĠO ri", + "Ġupgr aded", + "Ġapp ar", + "ut ory", + "ĠM ol", + "B rit", + "ĠJ ong", + "IN AL", + "ĠStart ing", + "Ġd ice", + "urt le", + "Ġre lying", + "cl osure", + "Ġprof itable", + "Ġsl aughter", + "ĠMan ual", + "c aster", + "Ġ\" $", + "Ġfe ather", + "ĠSim ply", + "ie ves", + "Ġdeter ior", + "ĠPC I", + "Ġst amp", + "Ġfl aws", + "Ġsh ade", + "ham mer", + "Ġpass port", + "Ġcont ing", + "am el", + "Ġobser vers", + "Ġneg lect", + "ĠR B", + "ĠBrother hood", + "Ġskept ical", + "f amily", + "us k", + "Ġemotion ally", + "â Ļ", + "ĠBet a", + "ason able", + "id ity", + "ĠM ul", + "Ġkick ing", + "ĠC arm", + "oll ah", + "VERT IS", + "ĠAt hen", + "Ġlad der", + "ĠBul let", + "å £", + "00 01", + "ĠWild life", + "ĠM ask", + "ĠN an", + "R ev", + "Ġun acceptable", + "leg al", + "Ġcrowd ed", + "ag i", + "ĠC ox", + "j e", + "Ġmor ality", + "Ġfu els", + "Ġc ables", + "Ġman kind", + "ĠCarib bean", + "Ġanch or", + "Ġby te", + "ĠO ften", + "ĠO z", + "Ġcraft ed", + "Ġhistor ian", + "ĠW u", + "Ġtow ers", + "ĠCitiz ens", + "Ġhel m", + "Ġcred entials", + "Ġsing ular", + "ĠJes se", + "Ġtack les", + "Ġcont empt", + "Ġa fore", + "ĠSh adows", + "Ġn il", + "Ġur gent", + "app le", + "bl ood", + "Ġv on", + "Ġoff line", + "Ġbreat he", + "Ġj umps", + "Ġirre levant", + "ox ic", + "om al", + "import ant", + "J im", + "Ġgl oves", + "arm ing", + "dep th", + "Ġtal ents", + "ook ie", + "ĠS B", + "Ġpal m", + "uff s", + "est a", + "IG H", + "Ġcan on", + "ĠVer izon", + "ĠP le", + "Ġcou pled", + "vel t", + "Ġfundra ising", + "ĠGet ting", + "ĠD LC", + "Ġmathemat ical", + "ĠH S", + "ĠCard inals", + "te lling", + "Ġspons ors", + "Ġ Ï", + "ĠBull s", + "op tion", + "Ġprop ose", + "Ġmem orable", + "Ġembr aced", + "Ġdecl ining", + "He alth", + "ed a", + "Ġ} ;", + "Ġsp am", + "m ile", + "Ġpit cher", + "ĠE ight", + "Ġcar ing", + "ut ic", + "ro le", + "Ġair line", + "ernand ez", + "ĠAth let", + "Ġcert ification", + "ux e", + "rig er", + "Ġem pir", + "Ġsens ation", + "Ġdis m", + "Ġb olt", + "Ġev olve", + "H ouse", + "Ġconsult ation", + "ĠD uty", + "Ġtou ches", + "ĠN athan", + "Ġf aint", + "h ad", + "\" (", + "ĠCons umer", + "ĠExt reme", + "Ġ12 7", + "ĠHer m", + "ĠSac rament", + "iz oph", + "Ġanx ious", + "ul ously", + "Ġsoc ially", + "ĠU TC", + "Ġsol ving", + "ĠLet ter", + "Hist ory", + "ed uc", + "Pr ice", + ") );", + "Ġrel oad", + "am ic", + "Ġp ork", + "Ġdisc ourse", + "Ġt ournaments", + "ai ro", + "ĠK ur", + "ĠCost a", + "Ġviol ating", + "Ġinterf ere", + "Ġrecre ational", + "uff le", + "Ġspe eches", + "Ġneed ing", + "Ġremem bers", + "Ġcred ited", + "n ia", + "f ocused", + "amer a", + "Ġb ru", + "um bs", + "ĠCub an", + "Ġpreced ing", + "Ġnons ense", + "ac ial", + "Ġsmart phones", + "ĠSt ories", + "S ports", + "ĠEmer gency", + "oun cing", + "ef ined", + "Ġb er", + "Ġconsult ing", + "Ġm asters", + "he astern", + ".\" [", + "ĠRun ning", + "Ġsus cept", + "ĠF eng", + "Americ a", + "pr ises", + "st itial", + "ĠWeek ly", + "ĠGreat er", + "mod ules", + "if ter", + "G raphics", + "ul er", + "Ġwho lly", + "Ġsupp ress", + "Ġconce aled", + "Ġhapp ily", + "Ġaccept s", + "ĠEn joy", + "Ġr ivers", + "ĠEx cept", + "2 25", + "ĠN HS", + "ĠMc Connell", + "Ġp ussy", + "fer red", + "ut able", + "Ġatt ain", + "Ġ> =", + "Ġdepos its", + "roph ic", + "Ġnot orious", + "ĠSh aw", + "il itation", + "Ġepid emic", + "all ic", + "Ġsmall est", + "ov ich", + "Ġaccess ories", + "per ties", + "Ġsur plus", + "ĠMe ch", + "Ġamb ig", + "ĠImm igration", + "Ġch im", + "ev al", + "Ġpract icing", + "ĠMyster y", + "Ġdom ains", + "ĠSil icon", + "app s", + "Ġkilomet ers", + "e a", + "ĠSm ash", + "Ġwarrant y", + "Ġn ost", + "s il", + "re v", + "J on", + "ĠDub lin", + "Ġtast es", + "Ġb out", + "g reat", + "er ror", + "Ġsw itches", + "ĠB apt", + "D O", + "ok i", + "Ġsour ced", + "pro du", + "Ġattach ment", + "ĠIss ue", + "ĠQuest ion", + "Jo in", + "Ġf itted", + "Ġunlaw ful", + "^ ^", + "ere k", + "Ġauthent ication", + "Ġst ole", + "Ġaccount ability", + "l abel", + "S earch", + "Ġal beit", + "atic an", + "fund ed", + "ĠAdd ing", + "ĠI Q", + "Ġsub mar", + "l it", + "a que", + "ĠLear ning", + "Ġint eger", + "M aster", + "ĠCh rom", + "Ġprem ier", + "O p", + "ĠLi u", + "Ġbl essed", + "ĠGl obe", + "ĠResp onse", + "Ġlegit im", + "ĠMer kel", + "Ġdispos al", + " ´", + "Ġgau ge", + "pe at", + "Ġindu ced", + "Ġquestion able", + "arth y", + "ĠV it", + "ĠF eed", + "U ntil", + "U t", + "worth y", + "R Y", + "ĠH erald", + "ĠHam mer", + "Ġmed al", + "ĠR ivers", + "ĠH ack", + "Ġclar ify", + "Ġtrack ed", + "Ġautonom ous", + "Ġten ant", + "ĠQ atar", + "er ie", + "Ġgr im", + "ĠMon itor", + "Ġresist ant", + "ĠSpe c", + "ĠWell s", + "N AS", + "14 8", + "Ġmin ers", + "iot ics", + "Ġmiss es", + "11 6", + "g ian", + "g it", + "ĠE yes", + "p res", + "Ġgrad uated", + "Ġang el", + "Ġsyn chron", + "Ġefficient ly", + "Ġtrans mitted", + "H arry", + "Ġglob ally", + "EN CE", + "ĠMont ana", + "r aged", + "ĠPre vention", + "Ġp iss", + "ĠL l", + "Ġshe lf", + "ĠB JP", + "ĠTest ament", + "ĠL ate", + "ik er", + "ĠH app", + "ĠJul ian", + "h all", + "Ġsp ont", + "Ġshut down", + "Ġincons istent", + "Ġsubscrib ers", + "Ġske leton", + "ĠNe braska", + "Ġins pire", + "ĠV oid", + "F eed", + "Ġang les", + "ĠSpr ings", + "Ġbench mark", + "Ġvacc ines", + "izoph ren", + "se xual", + "uff ed", + "Ġsh ine", + "ĠK ath", + "Ġgest ure", + "ine a", + "Ġr ip", + "Ġopp ression", + "Ġcons cience", + "b t", + "ĠL um", + "Ġinc idence", + "ĠF a", + "w r", + "Ġmin eral", + "ĠSp urs", + "alk y", + "Ġth under", + "Ġop io", + "Be ing", + "ĠPal m", + "Ġwas ted", + "Ġl b", + "i aries", + "ĠIniti ative", + "Ġcur ric", + "Ġmark er", + "ĠMc L", + "Ġext ensions", + "ĠP v", + "ĠAr ms", + "Ġoffer ings", + "Ġdef enses", + "Ġvend or", + "Ġcontrad ict", + "ĠCol in", + "Ġredd it", + "Ġper ipher", + "12 2", + "Ġs ins", + "E dit", + "IC T", + "So ft", + "ĠSh ah", + "Ġadministr ator", + "ĠT rip", + "Ġporn ography", + "Ġtu ition", + "in ence", + "ĠPro gress", + "Ġcat alog", + "Ġsu ite", + "Ġh ike", + "Ġreprodu ctive", + "eng ine", + "Ġd rought", + "ĠNo ah", + "Ġ2 30", + "Ġd ude", + "Ġrelax ed", + "Ġpart ition", + "Ġparticip ant", + "Ġtel esc", + "Ġfe as", + "ĠF F", + "own er", + "Ġswe eping", + "Ġl enses", + "Ġmatch up", + "ĠRe pl", + "ourn als", + "Ġcred ible", + "Ġgrand mother", + "Ġther mal", + "Ġsubscrib ing", + "Ġident ities", + "col m", + "U CT", + "Ġreluct ant", + "us ers", + "ĠC ort", + "Ġassist ed", + "OS S", + "ATION S", + "IS H", + "Ġpharm aceutical", + "ic able", + "ad ian", + "ĠSon ic", + "ĠF ury", + "ĠM ong", + "A H", + "ĠPsych ology", + "Ġph osph", + "Ġtreat s", + "Ń Ķ", + "Ġstead ily", + "ĠHell o", + "Ġrel ates", + "Ġcl ue", + "Ex pl", + "a uth", + "Ġrev ision", + "Ġe ld", + "os ion", + "Ġbr on", + "14 4", + "ri kes", + "Ġmin es", + "Ġblank et", + "ĠF ail", + "el ed", + "ĠIm agine", + "ĠPl anned", + "a ic", + "Re quest", + "M ad", + "ĠHor se", + "ĠEag le", + "Ġcap ac", + "15 7", + "Ġl ing", + "ĠN ice", + "ĠP arenthood", + "min ster", + "og s", + "ens itive", + "Not hing", + "Ġcar n", + "F in", + "ĠP E", + "Ġr ifles", + "ĠL P", + "S and", + "Ġgui Active", + "Ġtour ist", + "C NN", + "Ġunve iled", + "Ġpredec essor", + "} {", + "u ber", + "Ġoff shore", + "Ġopt ical", + "ĠR ot", + "ĠPear l", + "et on", + "Ġst ared", + "Ġfart her", + "at ility", + "cont in", + "ĠG y", + "ĠF oster", + "ĠC oc", + "ri ents", + "Ġdesign ing", + "ĠEconom y", + "ON G", + "W omen", + "ĠN ancy", + "er ver", + "Ġmas cul", + "Ġcasual ties", + "Ġ2 25", + "ĠS ullivan", + "ĠCh oice", + "Ġa ster", + "w s", + "Ġhot els", + "Ġconsider ations", + "Ġcou ch", + "ĠSt rip", + "ĠG n", + "Ġmanip ulate", + "l ied", + "Ġsynt hetic", + "Ġassault ed", + "Ġoff enses", + "ĠDra ke", + "Ġim pe", + "Oct ober", + "ĠHer itage", + "h l", + "ĠBl air", + "Un like", + "Ġg rief", + "Ġ4 50", + "Ġopt ed", + "Ġresign ation", + "il o", + "Ġver se", + "ĠT omb", + "Ġu pt", + "Ġa ired", + "ĠH ook", + "ĠML B", + "Ġassum es", + "out ed", + "ĠV ers", + "Ġinfer ior", + "Ġbund le", + "ĠD NS", + "ograp her", + "Ġmult ip", + "ĠSoul s", + "Ġillust rated", + "Ġtact ic", + "Ġdress ing", + "Ġdu o", + "Con f", + "Ġrel ent", + "Ġc ant", + "Ġscar ce", + "Ġcand y", + "ĠC F", + "Ġaffili ated", + "Ġspr int", + "yl an", + "ĠGarc ia", + "Ġj unk", + "Pr int", + "ex ec", + "C rit", + "Ġport rait", + "ir ies", + "ĠOF F", + "Ġdisp utes", + "W R", + "L ove", + "ãģ Ħ", + "ĠRe yn", + "Ġh ipp", + "op ath", + "Ġflo ors", + "ĠFe el", + "Ġwor ries", + "Ġsett lements", + "ĠP os", + "Ġmos que", + "Ġfin als", + "Ġcr ushed", + "ĠPro bably", + "ĠB ot", + "ĠM ans", + "ĠPer iod", + "Ġsovere ignty", + "Ġsell er", + "Ġap ost", + "Ġam ateur", + "Ġd orm", + "Ġconsum ing", + "Ġarm our", + "ĠRo ose", + "Ġint ensive", + "Ġelim inating", + "ĠSun ni", + "ĠAle ppo", + "j in", + "Ġadv ise", + "p al", + "ĠH alo", + "Ġdes cent", + "Ġsimpl er", + "Ġbo oth", + "ST R", + "L ater", + "ĠC ave", + "== =", + "Ġm ol", + "Ġf ist", + "Ġshot gun", + "su pp", + "Ġrob bery", + "E ffect", + "Ġobsc ure", + "ĠProf essional", + "Ġemb assy", + "Ġmilit ant", + "Ġinc arcer", + "Ġgener ates", + "Ġlaun ches", + "Ġadministr ators", + "Ġsh aft", + "Ġcirc ular", + "Ġfresh man", + "ĠW es", + "ĠJo el", + "ĠD rew", + "ĠDun can", + "ĠApp arently", + "s ight", + "ĠIntern al", + "ĠInd ividual", + "ĠF E", + "Ġb ore", + "ĠM t", + "Ġbroad ly", + "ĠO ptions", + "ount ain", + "ip es", + "ĠV ideos", + "20 4", + "Ġh ills", + "Ġsim ulation", + "Ġdisappoint ment", + "it an", + "ĠLabor atory", + "Ġup ward", + "Ġbound ary", + "Ġdark er", + "h art", + "Ġdomin ance", + "C ong", + "ĠOr acle", + "ĠL ords", + "Ġscholars hip", + "ĠVin cent", + "ed e", + "ĠR ah", + "Ġencour ages", + "ro v", + "Ġqu o", + "Ġprem ise", + "ĠCris is", + "ĠHol ocaust", + "Ġrhyth m", + "Ġmet ric", + "cl ub", + "Ġtransport ed", + "Ġn od", + "ĠP ist", + "Ġancest ors", + "ĠFred er", + "th umbnails", + "ĠC E", + "ON D", + "Ph il", + "ven ge", + "ĠProduct s", + "cast le", + "Ġqual ifying", + "ĠK aren", + "VERTIS EMENT", + "Ġmight y", + "Ġexplan ations", + "Ġfix ing", + "D i", + "Ġdecl aring", + "Ġanonym ity", + "Ġju ven", + "ĠN ord", + "ĠDo om", + "ĠAct ually", + "O k", + "ph is", + "ĠDes ert", + "Ġ11 6", + "I K", + "ĠF M", + "Ġinc omes", + "V EL", + "ok ers", + "Ġpe cul", + "Ġlight weight", + "g ue", + "Ġacc ent", + "Ġincre ment", + "ĠCh an", + "Ġcompl aining", + "ĠB aghd", + "Ġmidfield er", + "Ġover haul", + "Pro cess", + "ĠH ollow", + "ĠTit ans", + "Sm all", + "man uel", + "ĠUn ity", + "ĠEv ents", + "S ty", + "Ġdispro portion", + "n esty", + "en es", + "ĠC od", + "Ġdemonstr ations", + "ĠCrim son", + "ĠO H", + "Ġen rolled", + "Ġc el", + "ĠBre tt", + "Ġa ide", + "Ġhe els", + "Ġbroad band", + "Ġmark ing", + "Ġw izard", + "ĠN J", + "ĠChief s", + "Ġingred ient", + "Ġd ug", + "ĠSh ut", + "urch ase", + "end or", + "Ġfar mer", + "ĠGold man", + "12 9", + "15 5", + "Or der", + "Ġl ion", + "i ably", + "Ġst ain", + "ar ray", + "ilit ary", + "ĠFA Q", + "Ġexpl oded", + "ĠMcC arthy", + "ĠT weet", + "ĠG reens", + "ek ing", + "l n", + "ens en", + "Ġmotor cycle", + "Ġpartic le", + "Ġch olesterol", + "B ron", + "Ġst air", + "Ġox id", + "Ġdes irable", + "ib les", + "Ġthe or", + "for cing", + "Ġpromot ional", + "ov o", + "b oot", + "ĠBon us", + "raw ling", + "Ġshort age", + "ĠP sy", + "Ġrecru ited", + "Ġinf ants", + "Ġtest osterone", + "Ġded uct", + "Ġdistinct ive", + "Ġfirm ware", + "bu ilt", + "14 5", + "Ġexpl ored", + "Ġfact ions", + "Ġv ide", + "Ġtatt oo", + "Ġfinan cially", + "Ġfat igue", + "Ġproceed ing", + "const itutional", + "Ġmis er", + "Ġch airs", + "gg ing", + "ipp le", + "Ġd ent", + "Ġdis reg", + "ç Ķ", + "st ant", + "ll o", + "b ps", + "aken ing", + "Ġab normal", + "ĠE RA", + "å£ «", + "ĠH BO", + "ĠM AR", + "Ġcon cess", + "Ġserv ant", + "Ġas pir", + "l av", + "ĠPan el", + "am o", + "Ġprec ip", + "Ġrecord ings", + "Ġproceed ed", + "Ġcol ony", + "ĠT ang", + "ab lo", + "Ġstri pped", + "Le ft", + "to o", + "Ġpot atoes", + "Ġfin est", + "% ).", + "Ġc rap", + "ĠZ ach", + "ab ases", + "ĠG oth", + "Ġbillion aire", + "w olf", + "Ġsan ction", + "S K", + "Ġlog ged", + "P o", + "ey ed", + "un al", + "Ġcr icket", + "Ġarm ies", + "Ġunc overed", + "Cl oud", + "ó n", + "Ġreb ounds", + "Ġm es", + "O per", + "P ac", + "Ġnation ally", + "Ġinsert ed", + "p ict", + "Ġgovern ance", + "Ð ¸", + "Ġprivile ges", + "G ET", + "Ġfavor ites", + "im ity", + "Ġlo ver", + "the m", + "em pl", + "Ġgorge ous", + "An n", + "Ġsl ipped", + "Ġve to", + "B ob", + "Ġsl im", + "u cc", + "ĠF ame", + "udden ly", + "Ġden ies", + "ĠM aur", + "Ġdist ances", + "Ġw anna", + "t ar", + "ĠS ER", + "Ġâ Ī", + "Ġle mon", + "at hetic", + "Ġlit eral", + "Ġdistingu ished", + "Ġansw ering", + "G I", + "Ġrelig ions", + "ĠPhil os", + "ĠL ay", + "Ġcomp os", + "ire ments", + "ĠK os", + "ine z", + "roll ing", + "Ġyoung est", + "and ise", + "ĠB orn", + "Ġalt ar", + "am ina", + "ĠB oot", + "v oc", + "Ġdig ging", + "Ġpress ures", + "Ġl en", + "26 4", + "Ġassass ination", + "ĠBir mingham", + "ĠMy th", + "Ġsovere ign", + "ĠArt ist", + "ĠPhot ograph", + "Ġdep icted", + "Ġdisp ens", + "orth y", + "Ġamb ul", + "int eg", + "ĠC ele", + "ĠTib et", + "Ġhier archy", + "Ġc u", + "Ġpre season", + "ĠPet erson", + "Ġcol ours", + "Ġworry ing", + "Ġback ers", + "ĠPal mer", + "ĠÎ ¼", + "Ġcontribut or", + "Ġhear ings", + "Ġur ine", + "Ġ Ù", + "ourge ois", + "Sim ilar", + "ĠZ immer", + "s omething", + "ĠUS C", + "Ġstrength s", + "ĠF I", + "Ġlog ging", + "As ked", + "ĠTh ai", + "in qu", + "ĠW alt", + "Ġcrew s", + "it ism", + "3 01", + "Ġshar ply", + "um ed", + "Ġred irect", + "r ators", + "In f", + "ĠWe apons", + "Ġte asp", + "19 99", + "L ive", + "ĠEs pecially", + "ĠS ter", + "ĠVeter ans", + "Ġint ro", + "other apy", + "Ġmal ware", + "Ġbre eding", + "Ġmole cular", + "ĠR oute", + "ĠCom ment", + "oc hem", + "Ġa in", + "Se ason", + "Ġlineback er", + "Ä «", + "ĠEconom ics", + "es ar", + "ĠL ives", + "ĠEm ma", + "Ġk in", + "ĠTer rit", + "Ġpl anted", + "ot on", + "ĠBut ter", + "ĠSp ons", + "P ER", + "Ġdun geon", + "Ġsymb olic", + "Ġfil med", + "Ġdi ets", + "Ġconclud es", + "Ġcertain ty", + "ĠForm at", + "Ġstr angers", + "form at", + "ĠPh ase", + "Ġcop ied", + "Ġmet res", + "ld a", + "ĠUs ers", + "Ġdeliber ate", + "Ġwas hed", + "ĠL ance", + "im ation", + "Ġimpro per", + "ĠGen esis", + "ick r", + "ĠK ush", + "Ġreal ise", + "Ġembarrass ing", + "alk ing", + "b ucks", + "Ġver ified", + "Ġout line", + "year s", + "ĠIn come", + "20 2", + "Ġz ombies", + "F inal", + "ĠMill enn", + "Ġmod ifications", + "ĠV ision", + "ĠM oses", + "ver b", + "iter ranean", + "ĠJ et", + "Ġnav al", + "ĠA gg", + "Ġur l", + "Ġvict ories", + "Ġnon etheless", + "Ġinj ust", + "ĠF act", + "ç ļ", + "Ġins ufficient", + "re view", + "face book", + "Ġnegoti ating", + "Ġguarant ees", + "im en", + "uten berg", + "Ġg ambling", + "Ġcon gr", + "Load ing", + "Ġnever theless", + "Ġpres idents", + "ĠIndust rial", + "Ġ11 8", + "Ġp oured", + "ĠT ory", + "Ġ17 5", + "Ġ: =", + "Sc ott", + "ange red", + "T ok", + "Ġorgan izers", + "M at", + "ĠG rowth", + "Ġad ul", + "Ġens ures", + "Ġ11 7", + "é¾į å", + "Ġmass acre", + "Ġgr ades", + "be fore", + "AD VERTISEMENT", + "ĠSl ow", + "ĠM MA", + "âĢĶ \"", + "ĠV atican", + "Q aeda", + "Ġo we", + "66 66", + "ĠS orry", + "ĠGr ass", + "Ġbackground s", + "Ġexha usted", + "Ġcl an", + "Ġcomprom ised", + "ĠE lf", + "ĠIsa ac", + "ens on", + "In vest", + "IF A", + "Ġinterrupt ed", + "ãĥī ãĥ©", + "Ġtw isted", + "ĠDrag ons", + "M ode", + "ĠK remlin", + "Ġfert il", + "he res", + "ph an", + "ĠN ode", + "f ed", + "ĠOr c", + "Ġunw illing", + "C ent", + "Ġprior it", + "Ġgrad uates", + "Ġsubject ive", + "Ġiss uing", + "ĠL t", + "Ġview er", + "Ġw oke", + "Th us", + "bro ok", + "Ġdep ressed", + "Ġbr acket", + "ĠG or", + "ĠFight ing", + "Ġstri ker", + "Rep ort", + "ĠPortug al", + "Ġne o", + "w ed", + "19 9", + "Ġflee ing", + "sh adow", + "ident ified", + "US E", + "Ste am", + "Ġstret ched", + "Ġrevel ations", + "art ed", + "ĠD w", + "Ġalign ment", + "est on", + "ĠJ ared", + "S ep", + "Ġblog s", + "up date", + "g om", + "r isk", + "Ġcl ash", + "ĠH our", + "Ġrun time", + "Ġunw anted", + "Ġsc am", + "Ġr ack", + "Ġen light", + "on est", + "ĠF err", + "Ġconv ictions", + "Ġp iano", + "Ġcirc ulation", + "ĠW elcome", + "Ġback lash", + "ĠW ade", + "Ġrece ivers", + "ot ive", + "J eff", + "Ġnetwork ing", + "ĠPre p", + "ĠExpl orer", + "Ġlect ure", + "Ġupload ed", + "ĠMe at", + "B LE", + "ĠNaz is", + "ĠSy nd", + "st ud", + "ro ots", + "ri ans", + "Ġportray ed", + "Ġ ??", + "ĠBudd ha", + "s un", + "Rober t", + "ĠCom plex", + "Ġover see", + "Ġste alth", + "T itle", + "ĠJ obs", + "ĠK um", + "Ġappreci ation", + "ĠM OD", + "Ġbas ics", + "Ġcl ips", + "Ġnurs ing", + "Ġpropos ition", + "Ġreal ised", + "ĠNY C", + "Ġall ocated", + "ri um", + "ar an", + "ĠPro duction", + "ĠV ote", + "Ġsm ugg", + "Ġhun ter", + "az er", + "ĠCh anges", + "Ġfl uct", + "y on", + "Ar ray", + "Ġk its", + "W ater", + "Ġuncom mon", + "Ġrest ing", + "ell s", + "w ould", + "Ġpurs ued", + "Ġassert ion", + "omet own", + "ĠMos ul", + "ĠPl atform", + "io let", + "Ġshare holders", + "Ġtra ils", + "P ay", + "ĠEn forcement", + "ty pes", + "ĠAn onymous", + "Ġsatisf ying", + "il ogy", + "Ġ( '", + "w ave", + "c ity", + "Ste ve", + "Ġconfront ation", + "ĠE ld", + "C apt", + "ah an", + "ht m", + "ĠC trl", + "ON S", + "2 30", + "if a", + "hold ing", + "Ġdelic ate", + "Ġj aw", + "ĠGo ing", + "or um", + "S al", + "Ġd ull", + "ĠB eth", + "Ġpr isons", + "Ġe go", + "ĠEl sa", + "avor ite", + "ĠG ang", + "ĠN uclear", + "Ġsp ider", + "ats u", + "Ġsam pling", + "Ġabsor bed", + "ĠPh arm", + "iet h", + "Ġbuck et", + "ĠRec omm", + "O F", + "ĠF actory", + "AN CE", + "Ġb acter", + "H as", + "ĠObs erv", + "12 1", + "Ġprem iere", + "De velop", + "Ġcur rencies", + "C ast", + "Ġaccompany ing", + "ĠNash ville", + "Ġfat ty", + "ĠBre nd", + "Ġloc ks", + "Ġcent ered", + "ĠU T", + "augh s", + "or ie", + "ĠAff ordable", + "v ance", + "D L", + "em et", + "Ġthr one", + "ĠBlu etooth", + "Ġn aming", + "if ts", + "AD E", + "Ġcorrect ed", + "Ġprompt ly", + "ĠST R", + "Ġgen ome", + "Ġcop e", + "Ġval ley", + "Ġround ed", + "ĠK end", + "al ion", + "p ers", + "Ġtour ism", + "Ġst ark", + "v l", + "Ġblow ing", + "ĠSche dule", + "st d", + "Ġunh appy", + "Ġlit igation", + "ced es", + "Ġand roid", + "Ġinteg ral", + "ere rs", + "ud ed", + "t ax", + "Ġre iter", + "ĠMot ors", + "oci ated", + "Ġwond ers", + "ĠAp ost", + "uck ing", + "ĠRoose velt", + "f ram", + "Ġyield s", + "Ġconstit utes", + "aw k", + "Int erest", + "Ġinter im", + "Ġbreak through", + "ĠC her", + "Ġpro sec", + "ĠD j", + "ĠM T", + "Res p", + "ĠP T", + "Ġs perm", + "ed it", + "B T", + "Lin ux", + "count ry", + "le ague", + "Ġd ick", + "Ġo ct", + "Ġinsert ing", + "Ġsc ra", + "ĠBrew ing", + "Ġ19 66", + "Ġrun ners", + "Ġpl un", + "id y", + "ĠD ian", + "Ġdys function", + "Ġex clusion", + "Ġdis gr", + "Ġincorpor ate", + "Ġrecon c", + "Ġnom inated", + "ĠAr cher", + "d raw", + "achel or", + "Ġwrit ings", + "Ġshall ow", + "Ġh ast", + "ĠB MW", + "ĠR S", + "Ġth igh", + "Ġ19 63", + "Ġl amb", + "Ġfav ored", + "ag le", + "Ġcool er", + "ĠH ours", + "ĠG U", + "ĠOrig in", + "Ġglim pse", + "---------------- ----", + "L im", + "Ġche ek", + "Ġj ealous", + "- '", + "Ġhar ness", + "ĠPo ison", + "Ġdis abilities", + "ne apolis", + "Ġout look", + "Ġnot ify", + "ĠIndian apolis", + "Ġab rupt", + "ns ic", + "Ġenc rypted", + "Ġfor fe", + "reat h", + "Ġr abb", + "Ġfound ations", + "Ġcompl iment", + "ĠInter view", + "ĠS we", + "Ġad olesc", + "Ġmon itors", + "ĠSacrament o", + "Ġtime ly", + "Ġcontem pl", + "Ġposition ed", + "Ġpost ers", + "ph ies", + "iov ascular", + "v oid", + "ĠFif th", + "Ġinvestig ative", + "OU N", + "Ġinteg rate", + "ĠIN C", + "ish a", + "ibl ings", + "ĠRe quest", + "ĠRodrig uez", + "Ġsl ides", + "ĠD X", + "Ġfemin ism", + "Ġdat as", + "Ġb end", + "ir us", + "ĠNig eria", + "F ox", + "Ch ange", + "Ġair plane", + "ĠLad en", + "Ġpublic ity", + "ixt y", + "Ġcommit ments", + "Ġaggreg ate", + "Ġdisplay ing", + "ĠAr row", + "Ġ12 2", + "Ġrespect s", + "and roid", + "s ix", + "ĠSh a", + "Ġrest oration", + ") \\", + "W S", + "oy s", + "Ġillust rate", + "with out", + "12 6", + "ĠâĶ Ĥ", + "Ġpick up", + "n els", + "Ġ ....", + "f ood", + "ĠF en", + ") ?", + "Ġphenomen a", + "Ġcompan ions", + "ĠW rite", + "Ġsp ill", + "Ġbr idges", + "ĠUp dated", + "ĠF o", + "Ġinsect s", + "ASH INGTON", + "Ġsc are", + "il tr", + "ĠZh ang", + "Ġsever ity", + "Ġind ul", + "14 9", + "ĠCo ffee", + "Ġnorm s", + "Ġp ulse", + "ĠF T", + "Ġhorr ific", + "ĠDest roy", + "ĠJ SON", + "Ġo live", + "Ġdiscuss es", + "R est", + "E lect", + "ĠW inn", + "ĠSurv iv", + "ĠH ait", + "S ure", + "op ed", + "Ġro oted", + "ĠS ke", + "ĠBron ze", + "Ġl ol", + "Def ault", + "Ġcommod ity", + "red ited", + "Ġliber tarian", + "Ġforb idden", + "Ġgr an", + "à ¨", + "Ġl ag", + "en z", + "dri ve", + "Ġmathemat ics", + "Ġw ires", + "Ġcrit ically", + "Ġcarb ohyd", + "ĠChance llor", + "ĠEd die", + "Ġban ning", + "ĠF ri", + "Ġcompl ications", + "et ric", + "ĠBangl adesh", + "Ġband width", + "St op", + "ĠOrig inally", + "Ġhalf way", + "yn asty", + "sh ine", + "Ġt ales", + "rit ies", + "av ier", + "Ġspin ning", + "ĠWH O", + "Ġneighbour hood", + "b ach", + "Ġcommer ce", + "ĠS le", + "B U", + "Ġentreprene ur", + "Ġpecul iar", + "ĠCom ments", + "f re", + "3 20", + "IC S", + "Ġimag ery", + "ĠCan on", + "ĠElect ronic", + "sh ort", + "( (", + "D ig", + "Ġcomm em", + "u ced", + "Ġincl ined", + "ĠSum mon", + "Ġcl iff", + "ĠMed iterranean", + "Ġpo etry", + "Ġprosper ity", + "ĠRe ce", + "Ġp ills", + "m ember", + "Ġfin ale", + "un c", + "ĠG ig", + "ä ½", + "Ġl od", + "Ġback ward", + "- +", + "ĠFor ward", + "Ġth ri", + "s ure", + "Ġso ap", + "ĠF X", + "R ES", + "ĠSe xual", + "oul os", + "Ġfool ish", + "Ġright eous", + "Ġco ff", + "terror ism", + "ust ain", + "ot er", + "Ġab uses", + "ne xt", + "Ġab usive", + "Ġthere after", + "Ġprohib ition", + "ĠS UP", + "Ġd ip", + "Ġr ipped", + "Ġinher ited", + "Ġb ats", + "st ru", + "G T", + "Ġflaw ed", + "ph abet", + "Ġf og", + "do ors", + "Ġim aging", + "Ġdig its", + "ĠHung ary", + "Ġar rog", + "Ġteach ings", + "Ġprotocol s", + "ĠB anks", + "à ¸", + "p ound", + "ĠC urt", + ".\" )", + ". /", + "Ġex emption", + "end ix", + "ĠM ull", + "Ġimpro ves", + "ĠG amer", + "d imensional", + "I con", + "ĠMarg aret", + "St atus", + "d ates", + "Ġint ends", + "Ġdep ict", + "Ġpark ed", + "J oe", + "ĠMar ines", + "chn ology", + "! ).", + "Ġjud ged", + "Ġwe ights", + "R ay", + "Ġapart ments", + "he ster", + "Ġrein force", + "Ġoff ender", + "occ up", + "Ġs ore", + "e pt", + "ĠPH P", + "ĠB row", + "Ġauthor ization", + "ĠR isk", + "ĠDel aware", + "ĠQ U", + "Ġnot ifications", + "Ġsun light", + "Ġex clude", + "d at", + "Ġm esh", + "ĠSud an", + "Ġbelong ed", + "Ġsub way", + "Ġno on", + "ĠInter ior", + "ol ics", + "ĠL akers", + "Ġc oding", + "Dis claimer", + "Cal if", + "O ld", + "Ġdis l", + "???? ?", + "Ġconfir ms", + "Ġrecruit ment", + "Ġhom icide", + "Cons ider", + "ĠJeff rey", + "ft y", + "} ;", + "Ġobject ion", + "do ing", + "ĠLe o", + "W ant", + "Ġgl ow", + "ĠClar ke", + "ĠNorm an", + "Ġver ification", + "Ġpack et", + "ĠForm ula", + "Ġpl ag", + "es ville", + "Ġshout ing", + "Ġo v", + "ĠR EC", + "ĠB ub", + "Ġn inth", + "Ġener g", + "Ġvalid ity", + "Ġup s", + "j ack", + "Ġneighbor ing", + "ĠN ec", + "ew orks", + "ĠH ab", + "are z", + "Ġsp ine", + "Ġevent ual", + "ĠLe aders", + "ĠC arn", + "Ġprob ation", + "Ġrom ance", + "ms g", + "ĠMechan ical", + "ER Y", + "R ock", + "Ġpart isan", + "N ode", + "ass ets", + "min ent", + "Ġforeign ers", + "Ġtest ify", + "ĠUs ually", + "l ords", + "ĠG ren", + "ĠPow ell", + "BI L", + "Ġs r", + "Ġadd ict", + "Ġshell s", + "Ġs igh", + "ĠY ale", + "tern ity", + "Ġ7 50", + "E U", + "ĠR ifle", + "Ġpat ron", + "em a", + "ĠB annon", + "an ity", + "Ġtrop ical", + "ĠV II", + "c ross", + "Every thing", + "ĠIS O", + "Ġhum ble", + "ass ing", + "ĠF IG", + "Ġupd ating", + "ys on", + "Ġcal cium", + "Ġcompet ent", + "Ġste ering", + "Pro t", + "ĠS Y", + "ĠFin als", + "ĠR ug", + "15 9", + "13 7", + "ĠG olf", + "Ġ12 6", + "Ġaccommod ation", + "ĠHug hes", + "Ġaest hetic", + "art isan", + "ĠTw ilight", + "Ġpr ince", + "ĠAgric ulture", + "ĠDis co", + "Ġpreced ent", + "Ġtyp ing", + "author ized", + "O ption", + "ĠA ub", + "l ishes", + "ach t", + "m ag", + "P eter", + "ĠU FO", + "mont on", + "ĠL ith", + "Ġa rom", + "Ġsec uring", + "Ġconf ined", + "priv ate", + "Ġsw ords", + "Ġmark ers", + "Ġmetab olic", + "se lect", + "ĠCur se", + "ĠO t", + "g ressive", + "Ġinc umb", + "ĠS aga", + "Ġpr iced", + "Ġclear ance", + "Cont ent", + "Ġdr illing", + "Ġnot ices", + "Ġb ourgeois", + "Ġv est", + "Ġcook ie", + "ĠGuard ians", + "ry s", + "in yl", + "Ġ12 4", + "Ġpl ausible", + "on gh", + "ĠOd in", + "Ġconcept ion", + "ĠY uk", + "ĠBaghd ad", + "ĠFl ag", + "Aust ral", + "ĠI BM", + "Ġintern ationally", + "ĠWiki Leaks", + "I ED", + "Ġc yn", + "Ġcho oses", + "ĠP ill", + "Ġcomb ining", + "Ġrad i", + "ĠMoh ammed", + "def ense", + "atch ing", + "Sub ject", + "ic iency", + "Fr ame", + "Ġ{ \"", + "Ġche ss", + "Ġtim er", + "19 0", + "Ġt in", + "Ġord inance", + "emet ery", + "Ġacc using", + "Ġnotice able", + "Ġcent res", + "Ġl id", + "ĠM ills", + "img ur", + "Ġz oom", + "erg ic", + "Ġcomp ression", + "pr im", + "f ind", + "Ġsur g", + "Ġp and", + "ĠK ee", + "ĠCh ad", + "cell ence", + "oy le", + "Ġsocial ism", + "ĠT ravis", + "ĠM Hz", + "Ġgu ild", + "ALL Y", + "ĠSub scribe", + "ĠRel ated", + "Ġoccur rence", + "itch ing", + "Ġfict ional", + "Ġcr ush", + "ĠE A", + "c od", + "m ix", + "ĠTri ple", + "Ġretrie ve", + "Ġstimul us", + "Ġpsych iat", + "ĠDo or", + "Ġhomosexual ity", + "Ġelement ary", + "Ġcell ular", + "id ian", + "ĠL aun", + "Ġintrig uing", + "Ġfo am", + "ĠB ass", + "id i", + "its u", + "Ġass ure", + "Ġcongr at", + "Ġbusiness man", + "ĠBo ost", + "cl ose", + "Ġl ied", + "Ġsc iences", + "ĠO mega", + "ĠG raphics", + "Ġ< =", + "sp oken", + "Ġconnect ivity", + "S aturday", + "ĠAven gers", + "Ġto ggle", + "Ġank le", + "Ġnational ist", + "mod el", + "ĠP ool", + "ophob ia", + "V ar", + "ĠM ons", + "ator ies", + "Ġaggress ively", + "C lear", + "For ge", + "act ers", + "Ġhed ge", + "Ġpip es", + "Ġbl unt", + "Ġs q", + "Ġremote ly", + "W ed", + "as ers", + "Ġref riger", + "Ġt iles", + "Ġresc ued", + "Ġcompr ised", + "ins ky", + "Ġman if", + "avan augh", + "Ġprol ifer", + "Ġal igned", + "x ml", + "Ġtri v", + "Ġcoord ination", + "ĠP ER", + "ĠQu ote", + "13 4", + "b f", + "ĠS aw", + "Ġtermin ation", + "Ġ19 0", + "Ġadd itions", + "Ġtri o", + "Ġproject ions", + "Ġpositive ly", + "Ġin clusive", + "Ġmem br", + "19 90", + "old er", + "Ġpract iced", + "ink le", + "Ar ch", + "Ġstar ters", + "ari us", + "Ġinter mediate", + "ĠBen ef", + "ĠK iller", + "Ġinter ventions", + "ĠK il", + "ĠF lying", + "In v", + "Ġprem ature", + "Ġpsych iatric", + "Ġind ie", + "Ġcoll ar", + "ĠRain bow", + "af i", + "Ġdis ruption", + "ĠFO X", + "cast ing", + "Ġmis dem", + "c ro", + "Ġw ipe", + "ard on", + "Ġb ast", + "ĠTom my", + "ĠRepresent ative", + "Ġbell y", + "ĠP O", + "ĠBre itbart", + "13 2", + "Ġmess aging", + "Sh ould", + "Ref erences", + "ĠG RE", + "ist ical", + "L P", + "ĠC av", + "ĠC razy", + "Ġintu itive", + "ke eping", + "ĠM oss", + "Ġdiscont in", + "ĠMod ule", + "Ġun related", + "ĠPract ice", + "ĠTrans port", + "Ġstatist ically", + "orn s", + "Ġs ized", + "p u", + "Ġca f", + "ĠWorld s", + "ĠRod gers", + "ĠL un", + "ĠCom ic", + "l iving", + "Ġc ared", + "Ġclim bed", + ") {", + "Ġconsist ed", + "Ġmed ieval", + "fol k", + "Ġh acked", + "Ġd ire", + "ĠHerm ione", + "Ġt ended", + "ce ans", + "D aniel", + "w ent", + "Ġlegisl ators", + "Ġred es", + "g ames", + "Ġg n", + "am iliar", + "Ġ+ +", + "gg y", + "th reat", + "Ġmag net", + "Ġper ceive", + "Ġz ip", + "Ġindict ment", + "Ġcrit ique", + "g ard", + "ĠSaf e", + "ĠC ream", + "Ġad vent", + "ob a", + "Ġv owed", + "ous ands", + "Ġsk i", + "Ġabort ions", + "u art", + "Ġstun ned", + "Ġadv ancing", + "Ġlack ed", + "Ġ\\ \"", + "Ġsch izophren", + "Ġeleg ant", + "Ġconf erences", + "Ġcance led", + "ĠHud son", + "ĠHop efully", + "Ġtr ump", + "Ġfrequ encies", + "Ġmet eor", + "ĠJun ior", + "ĠFle et", + "ĠMal colm", + "ĠT ools", + "Ġ ........", + "Ġh obby", + "ĠEurope ans", + "Ġ15 00", + "ĠInt o", + "Ġs way", + "ĠApp ro", + "ĠCom pl", + "Comm unity", + "Ġt ide", + "ĠSum mit", + "ä »", + "Ġinter vals", + "ĠE ther", + "Ġhabit at", + "ĠSteven s", + "lish ing", + "ĠDom ain", + "Ġtrig gers", + "Ġch asing", + "Ġchar m", + "ĠFl ower", + "it ored", + "Ġbless ing", + "Ġtext ures", + "F ive", + "Ġliqu or", + "R P", + "F IN", + "Ġ19 62", + "C AR", + "Un known", + "Ġres il", + "ĠL ily", + "Ġabund ance", + "Ġpredict able", + "r ar", + "Ġbull shit", + "le en", + "che t", + "M or", + "M uch", + "ä ¹", + "Ġemphas ized", + "Ġcr ust", + "Ġprim itive", + "Ġenjoy able", + "ĠPict ures", + "Ġteam mate", + "pl er", + "ĠT ol", + "ĠK ane", + "Ġsummon ed", + "th y", + "ram a", + "ĠH onda", + "Ġreal izing", + "Ġquick er", + "Ġconcent rate", + "cle ar", + "Ġ2 10", + "ĠErd ogan", + "ar is", + "Ġrespond s", + "ĠB I", + "Ġelig ibility", + "Ġpus hes", + "ĠId aho", + "Ġagg rav", + "Ġru ins", + "ur ations", + "Ġb ans", + "Ġan at", + "sh are", + "Ġgr ind", + "h in", + "um en", + "Ġut ilities", + "ĠYan kees", + "Ġdat abases", + "ĠD D", + "Ġdispl aced", + "Ġdepend encies", + "Ġstim ulation", + "h un", + "h ouses", + "ĠP retty", + "ĠRaven s", + "ĠTOD AY", + "Ġassoci ates", + "Ġthe rape", + "cl ed", + "Ġde er", + "Ġrep airs", + "rent ice", + "Ġrecept ors", + "Ġrem ed", + "ĠC e", + "Ġmar riages", + "Ġball ots", + "ĠSold ier", + "Ġhilar ious", + "op l", + "13 8", + "Ġinherent ly", + "Ġignor ant", + "Ġb ounce", + "ĠE aster", + "REL ATED", + "ĠCur rency", + "E V", + "ãĥ ŀ", + "ĠLe ad", + "Ġdece ased", + "B rien", + "ĠMus k", + "J S", + "Ġmer ge", + "heart ed", + "c reat", + "m itt", + "m und", + "ĠâĢ ĭ", + "ĠB ag", + "Ġproject ion", + "Ġj ava", + "ĠStand ards", + "ĠLeon ard", + "Ġcoc onut", + "ĠPop ulation", + "Ġtra ject", + "Ġimp ly", + "Ġcur iosity", + "ĠD B", + "ĠF resh", + "ĠP or", + "Ġheav ier", + "ne ys", + "gom ery", + "Ġdes erved", + "Ġphr ases", + "ĠG C", + "Ġye ast", + "d esc", + "De ath", + "Ġreb oot", + "Ġmet adata", + "IC AL", + "Ġrep ay", + "ĠInd ependence", + "Ġsubur ban", + "ical s", + "Ġat op", + "Ġall ocation", + "gener ation", + "ĠG ram", + "Ġmoist ure", + "Ġp ine", + "ĠLiber als", + "Ġa ides", + "Ġund erest", + "ĠBer ry", + "Ġcere mon", + "3 70", + "ast rous", + "ĠPir ates", + "Ġt ense", + "ĠIndust ries", + "ĠApp eals", + "ĠN ear", + "Ġè£ı ç", + "Ġlo vers", + "ĠC AP", + "ĠC raw", + "Ġg iants", + "Ġeffic acy", + "E lement", + "ĠBeh avior", + "ĠToy ota", + "Ġint est", + "P riv", + "A I", + "Ġmaneu ver", + "Ġperfect ion", + "Ġb ang", + "p aper", + "r ill", + "Ge orge", + "b order", + "in ters", + "ĠS eth", + "Ġcl ues", + "ĠLe vi", + "ĠRe venue", + "14 7", + "Ġv apor", + "Ġfortun ate", + "Ġthreat ens", + "Ġve t", + "Ġdepend ency", + "ers ed", + "art icle", + "ĠBl izzard", + "Ġch lor", + "Ġmin us", + "ĠB ills", + "Ġcryptoc urrency", + "Ġmetabol ism", + "ter ing", + "Ġp estic", + "step s", + "ĠTre asure", + "ract ed", + "ĠConst ant", + "Ġtem p", + "13 9", + "ĠDet ective", + "ur ally", + "Ġrecover ing", + "Ġcort ex", + "Ġ14 4", + "cl osed", + "Ġprejud ice", + "aun ted", + "Ġstorm s", + "ĠN OW", + "Ġmach inery", + "Add ress", + "Ġcompe lled", + "27 0", + "Ġdesp air", + "b ane", + "Ġveget able", + "Ġbed s", + "Lear n", + "Ġcolor ful", + "Ġsp ike", + "Ġmarg ins", + "Ġsymp athy", + "Ġworks hop", + "ĠC BC", + "S at", + "Ġburn s", + "ĠG ender", + "Ġ12 9", + "ĠC able", + "Ġdeb ts", + "ĠThe resa", + "Ġreflect ing", + "Ġa irst", + "Ġr im", + "ram id", + "Ġweakness es", + "W rit", + "ogg le", + "t i", + "ĠCh arge", + "Ġwe ighed", + "Ġ( .", + "Ġl aughter", + "Ġrou ter", + "ĠDemocr acy", + "D ear", + "Ġhas ht", + "Ġd y", + "Ġhint s", + "run ning", + "Ġfin ishes", + "ar us", + "M ass", + "res ult", + "asc us", + "Ġv intage", + "Ġcon qu", + "Ġwild ly", + "ac ist", + "Ġl ingu", + "Ġprot agonist", + "st rom", + "te enth", + "ĠSol o", + "m ac", + "f illed", + "Ġre nown", + "it ives", + "Ġmot ive", + "ĠAnt ar", + "ĠM ann", + "ĠAd just", + "Ġrock ets", + "Ġtrou bling", + "e i", + "Ġorgan isms", + "ass is", + "Christ ian", + "Ġ14 5", + "ĠH ass", + "Ġsw all", + "Ġw ax", + "ĠSurv ival", + "V S", + "ĠM urd", + "v d", + "stand ard", + "Ġdrag ons", + "Ġacceler ation", + "r ational", + "f inal", + "Ġp aired", + "ĠE thereum", + "Ġinterf aces", + "Ġres ent", + "Ġartif acts", + "Å «", + "are l", + "Ġcompet itor", + "ĠNich olas", + "ĠSur face", + "c pp", + "ĠT ot", + "Ġeconom ically", + "Ġorgan ised", + "Ġen forced", + "in ho", + "Ġvar ieties", + "Ġab dom", + "ĠBa iley", + "id av", + "ĠSal v", + "p aid", + "Ġalt itude", + "ess ert", + "ĠG utenberg", + "are a", + "op oulos", + "Ġprofess ors", + "igg s", + "ĠF ate", + "he y", + "Ġ3 000", + "D ist", + "Ġtw ins", + "c ill", + "ĠM aps", + "Ġtra ps", + "Ġwe ed", + "ĠK iss", + "Ġy oga", + "Ġrecip ients", + "ĠWest minster", + "Ġpool s", + "ĠWal mart", + "18 8", + "ĠSchool s", + "att ack", + "ĠAR M", + "par agraph", + "W arning", + "j l", + "Ġself ish", + "anche z", + "ĠHe ights", + "F re", + "ĠS oph", + "Ġ --------------------------------", + "t ml", + "33 3", + "Ġraid s", + "Ġsatell ites", + "KE Y", + "Ġlast s", + "Ñ Ĥ", + "In s", + "ĠD ame", + "Ġunp redict", + "// /", + "gh ai", + "Ġart illery", + "Ġcru ise", + "Ġg el", + "ĠCabin et", + "Ġbl ows", + "ĠE sp", + "Ġprox imity", + "ot he", + "ĠSk ills", + "ĠU pper", + "ob o", + "ĠN DP", + "Ġenjoy s", + "Ġrepe ating", + "ĠConst ruction", + "ĠQuest ions", + "H illary", + "Ġu int", + "Ġprocess ors", + "ĠGib son", + "ĠMult iple", + "q a", + "ĠB om", + "ĠM iles", + "vent ional", + "Ġhur ts", + "s kin", + "ĠA IDS", + "Ġadvis ers", + "ĠR oot", + "Ġmethod ology", + "ĠD ale", + "Ġdet on", + "ĠKnow ledge", + "sequ ently", + "Ġ12 1", + "Ġconnect s", + "C y", + "ĠD anger", + "Ġcontribut ors", + "ĠB ent", + "Ġbr ass", + "ĠGun s", + "int o", + "ĠFort une", + "Ġbro ker", + "bal ance", + "Ġlength s", + "Ġv ic", + "Ġaver aging", + "Ġappropri ately", + "ĠCamer a", + "Ġsand wich", + "ĠCD C", + "Ġcoord inate", + "Ġnav ig", + "Ġgood ness", + "l aim", + "Ġbra ke", + "Ġextrem ist", + "ĠW ake", + "ĠM end", + "ĠT iny", + "ĠC OL", + "ĠR F", + "ĠD ual", + "ĠW ine", + "C ase", + "Ġref ined", + "Ġl amp", + "L ead", + "Ġb apt", + "ĠCar b", + "ĠS add", + "ĠMin neapolis", + "PD F", + "Ear ly", + "ĠH idden", + "I ts", + "ĠT IME", + "Ġp ap", + "Ġcommission ed", + "ĠF ew", + "ĠCol ts", + "ĠB ren", + "Ġbot hered", + "Ġlike wise", + "Ex per", + "ĠSch w", + "c ry", + "n n", + "ĠM itch", + "im on", + "M G", + "b m", + "UM P", + "r ays", + "Ġregist ry", + "Ġ2 70", + "ach ine", + "re lla", + "ant ing", + "00 000", + "Ġru ined", + "sp ot", + "Ġt a", + "Ġmaxim ize", + "Ġincon ven", + "D ead", + "H uman", + "En abled", + "ĠMar ie", + "Ġch ill", + "ĠParad ise", + "Ġstar ring", + "ĠLat ino", + "ĠProt ocol", + "ĠE VER", + "Ġsuppl iers", + "m essage", + "ĠBro ck", + "Ġser um", + "âĸĪâĸĪ âĸĪâĸĪ", + "Ġen comp", + "Ġamb ition", + "ues e", + "Ġar rows", + "And rew", + "Ġanten na", + "Ġ19 61", + "ĠB ark", + "Ġb ool", + "ãĤ ª", + "ĠSt orage", + "Ġrail way", + "Ġtoug her", + "ĠC ad", + "Ġwas hing", + "P y", + "' ]", + "em bed", + "ĠMem phis", + "ack le", + "Ġfam ously", + "ĠF ortunately", + "ov ies", + "Ġmind set", + "Ġsne ak", + "ĠD h", + "RA W", + "ĠSim pson", + "Ġliv est", + "Ġland mark", + "Ġc ement", + "L ow", + "Ġthr illed", + "ĠCour se", + "in el", + "Ġch uck", + "id ate", + "gl obal", + "Ġwh it", + "Ġ �", + "ad ays", + "s ki", + "ĠS V", + "Ġvir uses", + "30 6", + "ĠResp ons", + "Ġthe aters", + "ĠBr anch", + "ĠGene va", + "ĠM K", + "Ġunbel iev", + "Ġcommun ist", + "Orig inal", + "ĠRe ceived", + "ĠTrans fer", + "ĠAr g", + "In put", + "ĠStr ategy", + "Ġpal ace", + "the ning", + "D ri", + "Ġsent encing", + "umbn ail", + "Ġp ins", + "re cy", + "Ġs iblings", + "Get ting", + "ĠB U", + "ĠNorth west", + "Ġprolong ed", + "ĠSak ura", + "C omb", + "ĠB our", + "Ġinadequ ate", + "ĠK ash", + "Ġus ername", + "ĠImpro ve", + "Ġbatt ling", + "ĠM AC", + "Ġcurric ulum", + "Ġs oda", + "ĠC annon", + "Ġsens ible", + "sp ons", + "De cember", + "Ġw icked", + "ĠP engu", + "Ġdict ators", + "ĠHe arts", + "og yn", + "Ġsimilar ities", + "ĠSt ats", + "Ġh ollow", + "it ations", + "\": [", + "Ġh over", + "ĠList en", + "s ch", + "S und", + "Ġc ad", + "ĠPar ks", + "Ġl ur", + "Ġhy pe", + "ĠL em", + "N AME", + "is ure", + "Fr iday", + "Ġshoot s", + "Ġclos es", + "Ġd b", + "ĠR idge", + "ĠDiff erent", + "Ġrepl ies", + "ĠBroad way", + "op ers", + "Ġint oler", + "ĠZe us", + "akes pe", + "Ġpropri etary", + "Ġrequest ing", + "Ġcontro llers", + "ĠM IN", + "im edia", + "be cca", + "Ġexp ans", + "Ġoil s", + "B ot", + "ĠCh and", + "Ġpr inter", + "Ġto pped", + "ĠP OL", + "ĠEar lier", + "S ocial", + "av in", + "Ġdecre ases", + "ĠSe b", + "Ġspecific ations", + "ĠBl ast", + "ĠK urt", + "Ġfre el", + "B rown", + "Ġdil ig", + "ro e", + "ĠPro blem", + "ĠQu ad", + "Ġdecent ral", + "ĠV ector", + "an ut", + "Ġplug ins", + "ĠGreg ory", + "Ġfuck ed", + "el ines", + "ĠAmb assador", + "t ake", + "Ġcle ans", + "ong yang", + "An onymous", + "st ro", + "\" }", + "al ine", + "ĠO dd", + "ĠE ug", + "2 16", + "Ġbo il", + "ĠP owers", + "Ġnurs es", + "Ob viously", + "ĠTechn ical", + "Ġexceed ed", + "OR S", + "Ġextrem ists", + "Ġtr aces", + "ex pl", + "Ġcom r", + "ĠS ach", + ") /", + "Ġm asks", + "Ġsc i", + "B on", + "Ġreg ression", + "we gian", + "Ġadvis or", + "it ures", + "ĠV o", + "ex ample", + "ĠInst ruct", + "Ġs iege", + "Ġredu ctions", + "pt r", + "Ġstat utory", + "Ġrem oves", + "Ġp uck", + "red its", + "Ġbe e", + "Ġsal ad", + "Ġpromot ions", + "ĠJosh ua", + "with standing", + "ET H", + "ĠCh a", + "im us", + "Ġexpend iture", + "aun ting", + "Ġdelight ed", + "Ġ15 5", + "be h", + "Ġcar pet", + "ĠSp art", + "Ġj ungle", + "l ists", + "Ġbull ying", + "ĠNob el", + "ĠGl en", + "Ġreferen ced", + "Ġintrodu ces", + "se in", + "Ġcho pped", + "gl ass", + "ĠW rest", + "Ġneutral ity", + "Ġâ Ļ", + "Ġinvestig ator", + "Ġshel ves", + "Ġun constitutional", + "Ġreprodu ction", + "Ġmer chant", + "m ia", + "Ġmet rics", + "Ġexplos ives", + "ĠSon ia", + "Ġbod ily", + "Ġthick ness", + "Ġpredomin antly", + "ĠAb ility", + "Ġmon itored", + "IC H", + "Ġ] .", + "ĠMart inez", + "Ġvis ibility", + "Ġqu eries", + "Ġgen ocide", + "ĠWar fare", + "Qu ery", + "Ġstud ios", + "Ġemb ry", + "Ġcorrid or", + "Ġclean ed", + "com plete", + "ĠM H", + "Ġenroll ment", + "ING S", + "Ġimpact ed", + "Ġdis astrous", + "ĠY un", + "ĠCl aire", + "ĠBas ically", + "y t", + "uster ity", + "Ġindirect ly", + "w ik", + "Ġd od", + "ĠCar r", + "Ġam p", + "Ġprohib it", + "ĠIn itial", + "ĠR d", + "ij i", + "Ġeduc ate", + "c orn", + "i ott", + "ĠBeaut y", + "Ġdetect ive", + "ĠCon n", + "s ince", + "Ġst agger", + "Ġob ese", + "Ġb ree", + "olog ic", + "is se", + "walk er", + "Ġbl ades", + "Ġlaw ful", + "fun c", + "ĠBeh ind", + "Ġappet ite", + "Ġ( *", + "Ġt ennis", + "Ġoff spring", + "Ġj ets", + "Ġstruct ured", + "Ġafore mentioned", + "N ov", + "Ġsc aling", + "f ill", + "Ġst ew", + "Ġcur b", + "ĠStep han", + "ed In", + "S F", + "ob ic", + "é ŃĶ", + "ou g", + "ĠM M", + "Ġgen etically", + "ope z", + "13 6", + "Ġu mb", + "anc ers", + "Ġcoh ort", + "Ġmerch andise", + "Ġimp osing", + "ĠLegisl ature", + "ĠArch ive", + "iv ia", + "ĠN aval", + "Ġoff ences", + "Ġmir acle", + "Ġsn apped", + "Ġf oes", + "Ġextensive ly", + "ĠR af", + "Ġc ater", + "ed ience", + "K it", + "ĠB in", + "Ġrecomm ends", + "ĠC ities", + "Ġrig id", + "ĠRE AD", + "ĠNob le", + "ĠT ian", + "Ġcertific ates", + "ant is", + "o iler", + "ĠBudd hist", + "d id", + "Ġsurvey ed", + "Ġdown ward", + "Ġprint s", + "ĠMot ion", + "ron ics", + "ĠS ans", + "oss ibly", + "u ctions", + "Ġcolon ies", + "ĠDan ish", + "un it", + "Ġsp oil", + "Ġadvis ory", + "ber ries", + "Pl an", + "Ġspecific ation", + "op hers", + "ĠRes ource", + "Ġsh irts", + "prising ly", + "commun ications", + "Ġtriv ial", + "Ġmention ing", + "ise xual", + "Ġsupp lements", + "Ġsuper vision", + "B P", + "v or", + "Ġw it", + "Ġco oldown", + "Ġplaint iff", + "ĠReview s", + "ĠS ri", + "ĠM int", + "ĠSug ar", + "Ġafter ward", + "ĠPri est", + "ĠInvest ment", + "og ene", + "ĠT aking", + "Ġstretch ing", + "Ġinflamm ation", + "ĠTe hran", + "Ġl ining", + "Ġfree zing", + "ĠEnt ity", + "Ġins piring", + "spe cial", + "pr ice", + "Ġsu e", + "ĠP orter", + "oun ge", + "ET A", + "ĠD erek", + "ĠLu is", + "u o", + "ym ph", + "Ġex terior", + "ih il", + "ĠAsh ley", + "in ator", + "Ġnut rients", + "ĠTh rones", + "Ġfin ances", + "ĠIn spect", + "Ġspe cially", + "ĠRequ ired", + "ĠP TS", + "ĠViol ence", + "oint ed", + "sh ots", + "Ġex cerpt", + "co on", + "IN S", + "ĠG ri", + "Ġrecogn ised", + "We ek", + "You ng", + "Ġv om", + "is le", + "ĠCur ry", + "ĠBudd h", + "Ġnot ebook", + "Ġd urable", + "/ ?", + "ĠG ad", + "ĠP upp", + "Ġforg ive", + "p ark", + "Ġpersonal ities", + "an alysis", + "cl amation", + "Ġelev ator", + "Ġware house", + "ĠR ole", + "un n", + "Ġillust ration", + "ĠSc an", + "Ġatmosp heric", + "Im port", + "AN C", + "rict ed", + "f u", + "01 0", + "Ġar che", + "Ġreward ed", + "akespe are", + "Ġintern ally", + "ĠR BI", + "alk er", + "Ġeleph ant", + "ow itz", + "ĠP izza", + "Ġbip artisan", + "é s", + "Ġslow ed", + "ĠSt ark", + "Ġover ride", + "OU S", + "Ġ3 20", + "undred s", + "ĠDe ck", + "ĠC ensus", + "be e", + "14 6", + "ot or", + "Ġ ip", + "Ġu b", + "oc ations", + "ĠBut ton", + "r ice", + "Ġc ripp", + "ff f", + "Ġorig inated", + "Ġoverwhel med", + "app a", + "Ġfore most", + "âĢ ij", + "ĠL EG", + "re lease", + "eat ured", + "at ches", + "Ġre ps", + "Ġl ending", + "ĠRe ference", + "ĠCl ient", + "16 5", + "vent h", + "Com plete", + "ĠPat rol", + "Ġsw orn", + "c am", + "Ġshut tle", + "ĠR alph", + "Ġh ometown", + "- ,", + "on al", + "ĠB P", + "å ı", + "Ġpersu ade", + "ĠAlex and", + "Ġcomb ines", + "Ġv ivid", + "ĠL ag", + "Ġenc oding", + "Ġsal vation", + "w en", + "ĠRec overy", + "i ya", + "Un iversity", + "ĠB iden", + "Ġbud gets", + "ĠTex ans", + "f its", + "Ġhon ored", + "Ġp ython", + "T D", + "## #", + "cl one", + "Ġbl ink", + "ĠL iquid", + "Ġunemploy ed", + "Ġcl ashes", + "ĠCoun sel", + "Ġdirect ing", + "Ġpun ct", + "ĠFal cons", + "Ġsh ark", + "ĠDam ascus", + "Ġje ans", + "Ġemb ark", + "Ġse ize", + "Ġup wards", + "2 80", + "ĠE z", + "ĠAny thing", + "Ġex otic", + "l ower", + "ĠCreat or", + "ĠU m", + "Ġsubur bs", + "ber ger", + "ĠW end", + "Ġm int", + "ĠX X", + "ĠD ro", + "Ġsuff ers", + "Ġher b", + "t ree", + "Ġfrag ile", + "Ġflood ed", + "ĠAl cohol", + "ole an", + "ny der", + "ĠK O", + "F ram", + "Ġ13 6", + "Ġow ed", + "ĠMe lee", + "ĠH ash", + "Ġwh isk", + "Ġsu do", + "r r", + "Qu ick", + "app ro", + "Ġi i", + "ĠEx amples", + "he e", + "Ġpromot es", + "per ature", + "k ar", + "ĠHon or", + "Ġs odium", + "ĠL if", + "ros so", + "intend ent", + "Ġcorrespond ent", + "F ound", + "sec ret", + "Ġident ifies", + "ag ne", + "Ġl ou", + "ĠP P", + "Ġcoinc idence", + "m ove", + "Ġmilit ia", + "Ġinf iltr", + "ĠPrim ary", + "Ġpitch ing", + "ĠI b", + "ĠGO OD", + "ãĤ ¸", + "ĠW izards", + "ir al", + "ĠVen us", + "R R", + "ĠâĢ ķ", + "ĠCase y", + "Ġsad ly", + "Ġadm ire", + "Ġembarrass ed", + "c b", + "M el", + "Ġtub es", + "Ġbeaut ifully", + "ĠQueens land", + "Bel ow", + "re z", + "qu et", + "ple asant", + "Ġ «", + "C amp", + "Ġdec isive", + "19 98", + "ĠL amb", + "ut ton", + "h n", + "ĠJ agu", + "au nder", + "ĠC ord", + "Ġcl erk", + "Ġca ffe", + "Ġwip ed", + "Ġre im", + "ĠMount ains", + "Ġimprison ed", + "Ġdevelop s", + "ĠP ra", + "Ġmodel ing", + "Any one", + "ance l", + "ĠS it", + "Ġshield s", + "Ġl awn", + "Ġcard iovascular", + "Ġdemonstr ating", + "Ġpar se", + "ĠIsrael is", + "Ġeuro s", + "14 3", + "Ġgl orious", + "ins ki", + "ec d", + "Ġcondition ing", + "Ġhel pless", + "Ġmicro sc", + "ĠHar bor", + "Ġst akes", + "Ġ2 60", + "Ġun equ", + "ĠFl oyd", + "Ġd amp", + "Ġappar atus", + "ĠLaw s", + "Ġcoun ters", + "Ġindu ce", + "at able", + "ĠAh med", + "Ġsl am", + "N ovember", + "Ġpers ist", + "Ġim minent", + "á n", + "Ġsh red", + "Ġph ases", + "ĠEd monton", + "ĠArm strong", + "ĠMe et", + "ĠK itty", + "Ñ Ģ", + "c irc", + "ĠAd ult", + "Ġa rose", + "ĠX en", + "D an", + "g ow", + "Ġsuper f", + "ĠAd mir", + "Ġend ure", + "Ġkey word", + "yr us", + "Ġy arn", + "Ġpath way", + "ĠHop kins", + "mid t", + "Ġcens orship", + "d ependent", + "Ġinstruct or", + "S ources", + "Ġto e", + "Ġball oon", + "N ob", + "Ġsw ear", + "ĠCast ro", + "Ġgl oss", + "ĠK avanaugh", + "Ġremark ably", + "Ph otos", + "ĠN om", + "ĠS outheast", + "y ers", + "Ġvalid ation", + "Ġcann on", + "ĠVict ory", + "ĠPier re", + "Ġcaut ious", + "Aud io", + "Ġf etch", + "ĠG ift", + "ĠH yp", + "Ġrem edy", + "Z E", + "Ġsc ent", + "Ġbe ard", + "ĠR ut", + "- \"", + "Ġpat ents", + "H y", + "Ġun just", + "Ġpot ato", + "Ġforth coming", + "Ġche f", + "ĠR ift", + "aff e", + "ĠR OM", + "ĠL aunch", + "Ġp ads", + "ĠNe o", + "Ġon set", + "Ġsquee ze", + "s afe", + "Ġpref ix", + "ĠT M", + "ĠN early", + "ĠClin ical", + "ĠM ental", + "ot iation", + "ĠUn ic", + "ant ry", + "ĠC ir", + "Ġep it", + "à ¦", + "Ġextract ed", + "verse ly", + "ri ad", + "Ġstr ains", + "Ġto ps", + "Ġpo em", + "ĠRand y", + "ĠMap le", + "TH ER", + "up iter", + "ĠSS D", + "ļ é", + "Ġun con", + "per ing", + "Ġsle pt", + "in ers", + "Ġunder water", + "ĠEv idence", + "g one", + "20 5", + "Ġhistor ians", + "Ġsynt hesis", + "Ġf rog", + "b asketball", + "Ġvibr ant", + "Ġsub ord", + "Ġ3 65", + "ĠD ial", + "Ġcooper ate", + "HA HA", + "Ġgreet ed", + "15 8", + "Ġj azz", + "Ġinto x", + "ĠWalk ing", + "Ġsuper visor", + "ĠF usion", + "ĠMer cedes", + "s end", + "H am", + "s d", + "n l", + "Ġtour s", + "ĠF IFA", + "Ġcul p", + "g d", + "30 4", + "Ġple as", + "Ġillust rates", + "ĠColomb ia", + "Ġhighlight ing", + "ĠSum mary", + "Ġexp osing", + "ĠD ru", + "Ġir ony", + "r itional", + "ĠCar roll", + "ĠEll is", + "P ict", + "ĠR apt", + "Ġad apter", + "Ġun m", + "Ġcor pse", + "Ġceleb rities", + "D en", + "at um", + "ĠAp ocalypse", + "ĠW ag", + "lin ing", + "Ġhorm ones", + "R ub", + "ĠX i", + "ĠV aults", + "20 8", + "alky rie", + "inos aur", + "Ġfeed s", + "v ity", + "Ġdefe ating", + "W ait", + "Ġemphas ize", + "ĠSteel ers", + "yr inth", + "le ys", + "ĠWhe never", + "Current ly", + "ĠCl ock", + "Ġcollect ively", + "any on", + "ĠJ P", + "Ġment ality", + "Ġdownload s", + "Ġsurround ings", + "ĠBarn es", + "Ġflags hip", + "Ġindic ators", + "Ġgra pp", + "Jan uary", + "ĠElement al", + "ĠAthen a", + "ib al", + "Ġs ights", + "Ġcap ita", + "ĠTreat y", + "Ġvo iced", + "ĠG az", + "let te", + "Ġy a", + "Ġexp ired", + "Leg end", + "H ot", + "n ature", + "Ġunst able", + "Ġ2 80", + "à º", + "Com ment", + "AL E", + "Ġquest s", + "Ġhand ler", + "n is", + "Ġvers atile", + "Ġconce al", + "enge ance", + "ĠInter active", + "Ġobs essed", + "ĠDog s", + "Ġcr acked", + "S ound", + "s v", + "ĠD ylan", + "ro ads", + "f x", + "ĠCath olics", + "ĠH ag", + "Ġsl ammed", + "Ġgl owing", + "s ale", + "Ġtiss ues", + "ĠCh i", + "ne e", + "Ġc her", + "s ic", + "ur rection", + "Ġb acon", + "ul atory", + ") .\"", + "Ġir regular", + "FOR M", + "ass ed", + "Ġintention al", + "Ġcompens ate", + "ĠSpe aking", + "ĠS ets", + "15 3", + "Ġconvent ions", + "b ands", + "em ade", + "Ġe cc", + "ĠWin ston", + "ĠAssass in", + "ĠBelg ian", + "Ġdepend ence", + "Ġnic he", + "Ġb ark", + "ĠJ azz", + "Ġdisadvant age", + "Ġgas oline", + "Ġ16 5", + "çļ Ħ", + "ess a", + "mod ule", + "ang ular", + "O Y", + "ĠTreat ment", + "it as", + "ol ation", + "ĠArn old", + "Ġfe ud", + "ĠN est", + "Ġthe atre", + "ew ater", + "Ġmin ors", + "olic y", + "ĠH aven", + "div ision", + "Ġtr unk", + "F ar", + "ĠP ull", + "Ġcapt uring", + "Ġ18 00", + "ĠTe en", + "Ġex empl", + "Ġclin ics", + "ĠB urg", + "Ġsubst it", + "Ġpay load", + "ĠL av", + "ĠT roy", + "ĠW itness", + "Ġfrag ments", + "Ġpass words", + "Ġg ospel", + "ĠG in", + "Ġten ants", + "ol ith", + "S ix", + "Pre vious", + "ĠAg es", + "ĠDar win", + "Ġbl at", + "Ġem pathy", + "sm ith", + "b ag", + "ĠE cho", + "ĠC amb", + "ĠM add", + "ĠB oo", + "Ġred e", + "ĠBurn ing", + "Ġsmooth ly", + "ĠAd rian", + "ĠV ampire", + "ĠMon sters", + "ste am", + "Sty le", + "M a", + "re a", + "ĠD war", + "aly st", + "urs or", + "Ġelim ination", + "Ġcrypt o", + "ch t", + "ĠE ternal", + "âĢ¦ ]", + "ĠS orce", + "I ll", + "N ER", + "Ġu h", + "Con clusion", + "w age", + "Ġresp ir", + "Ġrem inis", + "het ical", + "Ġg y", + "Ġutil ized", + "ic idal", + "Ġ19 00", + "Ġhun ters", + "ĠSw an", + "ĠRe act", + "Ġvis itor", + "ĠThanks giving", + "30 8", + "Post s", + "Ġh ips", + "19 97", + "om ers", + "Ġkn ocking", + "ĠVeh icle", + "Ġt il", + "Ġ13 8", + "Ġm i", + "ĠInvest igation", + "ĠKen ya", + "Ġcas ino", + "Ġmot ives", + "Ġreg ain", + "re x", + "Ġweek ends", + "Ġstab bed", + "bor o", + "Ġexplo ited", + "ĠHA VE", + "ĠTe levision", + "c ock", + "Ġprepar ations", + "Ġende av", + "ĠRem ote", + "ĠM aker", + "ĠPro du", + "ĠEv an", + "Ġinform ational", + "ĠLouis ville", + "15 4", + "ĠDream s", + "Ġpl ots", + "ĠRun ner", + "Ġhur ting", + "Ġacad emy", + "ĠMont gomery", + "n m", + "ĠL anc", + "ĠAl z", + "2 10", + "el ong", + "Ġretail er", + "Ġar ising", + "Ġrebell ion", + "Ġbl onde", + "play ed", + "Ġinstrument al", + "C ross", + "Ġret ention", + "Ġtherape utic", + "Ġse as", + "Ġinfant ry", + "ĠCl int", + "Ġprompt ing", + "Ġbit ch", + "Ġst ems", + "ĠK ra", + "Ġthe sis", + "ĠB og", + "ru ed", + "Ġk ings", + "Ġcl ay", + "ific ent", + "ĠY ES", + "ĠTh ing", + "ĠCub s", + "vey ard", + "els h", + "in arily", + "ĠE y", + "ĠRoll ing", + "Ġev olving", + "Ind ia", + "Ġrecogn izes", + "Ġgrad uation", + "is ers", + "Ġfert ility", + "ĠMil an", + "Comm and", + "Ġbox ing", + "Ġ19 43", + "Ġgl uten", + "ĠEm ir", + "Ġid ol", + "Ġcon ceived", + "ĠCre ation", + "Mer it", + "udd y", + "uss ions", + "ĠLie utenant", + "iet al", + "Ġunch anged", + "ĠSc ale", + "ĠCrime a", + "ball s", + "ator ial", + "Ġdepth s", + "Ġempir ical", + "Ġtrans m", + "Ġuns afe", + "miss ible", + "com fort", + "15 6", + "Ġmechan ic", + "00 2", + "l ins", + "Ġsm oked", + "P os", + "Ġslow ing", + "Ġl av", + "Tex as", + "Ġche ating", + "ĠMet ropolitan", + "eth yl", + "Ġdiscover ing", + "as se", + "Ġpen cil", + "ĠPy ongyang", + "Ġclos et", + "ĠShe et", + "ĠEnt ry", + "ou stic", + "Ġmy st", + "er ate", + "ari at", + "Ġminer als", + "Ġmusic ian", + "ĠP ul", + "ĠM az", + "24 9", + "Ġper missions", + "Ġ iv", + "en ary", + "ick ers", + "ĠB ing", + "he a", + "en able", + "Ġgri ev", + "Ġassert ed", + "ĠColon el", + "Ġaff idav", + "w o", + "Ġse ated", + "ĠR ide", + "Ġpaint ings", + "ĠP ix", + "Ġ13 7", + "ish i", + "umb ai", + "g otten", + "ĠEar l", + "Ġin ning", + "Ġc ensus", + "Ġtrave lled", + "ĠCons ult", + "18 5", + "b ind", + "Ġsimpl icity", + "Ġoverlook ed", + "ĠHelp ful", + "Ġmon key", + "Ġoverwhelming ly", + "Bl ood", + "ĠFl int", + "ĠJ ama", + "ĠPres ent", + "ĠR age", + "ĠT A", + "pt ive", + "Ġturn out", + "w ald", + "ĠD olphins", + "ĠV PN", + "Ġon ion", + "Ġcraft ing", + "m ma", + "ĠMerc ury", + "Ġarr ange", + "Ġalert s", + "ĠO T", + "zb ollah", + "Ġg ases", + "ĠRichards on", + "s al", + "l ar", + "Ġfro st", + "Ġlower ing", + "Ġacc laim", + "Ġstart ups", + "ĠG ain", + "ess ment", + "Ġguard ian", + "äº º", + "ĠP ie", + "ĠL inks", + "Ġmer its", + "Ġaw ake", + "Ġparent al", + "Ġexceed s", + "Ġid le", + "ĠPil ot", + "Ġe Bay", + "ĠAc cept", + "ipe g", + "C am", + "ĠK ot", + "Ġtrad ers", + "olit ics", + "unk er", + "ĠP ale", + "os i", + "an mar", + "Ġ19 47", + "ĠF ell", + "est ial", + "it ating", + "G F", + "ĠS r", + "if ted", + "Ġconnect or", + "ĠB one", + "ill es", + "2 60", + "h ma", + "Ġoverl ap", + "ĠGit Hub", + "Ġclean er", + "ĠBapt ist", + "ĠW AS", + "Ġlung s", + "Ñ ģ", + "ĠB UT", + "Ġc ite", + "Ġpit ched", + "reat ment", + "Ġtro phies", + "ĠN u", + "38 6", + "ĠPr ide", + "Ġattend ees", + "[ ]", + "17 9", + "Ġspat ial", + "Ġpri zes", + "ĠRel igion", + "Ġshow case", + "ĠC ategory", + "vid ia", + "T arget", + "Pro perty", + "? ,", + "Ġf usion", + "p ie", + "ĠU CLA", + "Ġsound track", + "Ġprin cess", + "ĠC aval", + "sh ould", + "Ġlim bs", + "Back ground", + "Ġlone ly", + "Ġc ores", + "ĠT ail", + "she et", + "Ġ13 2", + "R a", + "ãĤ «", + "ĠB olt", + "Ġbook ed", + "Ġadmin ister", + "Ġequ als", + "w y", + "Ġobserv ing", + "ĠBar on", + "ĠAd obe", + "Ġv irgin", + "ĠSocial ist", + "M ove", + "gh azi", + "ĠLind a", + "2 12", + "Ġbre wing", + "Ġmerch ants", + "bur se", + "Ġdiv or", + "Ġmet als", + "ĠN er", + "Ġsum s", + "ĠEn emy", + "Ġen vision", + "Ġgrant ing", + "ĠH oney", + "ĠSk yrim", + "Ġsoc io", + "gr aded", + "Ġselect ive", + "W ASHINGTON", + "Ġ19 48", + "ĠSir ius", + "ĠG ross", + "act ivity", + "ĠI van", + "Ġfur ious", + "BS D", + "ĠPre vious", + "Ġrespons ive", + "Ġchar itable", + "Ġle aning", + "ĠP ew", + "Ġviol ates", + "\\\\\\\\ \\\\\\\\", + "ĠCom ing", + "w ire", + "Ġpo et", + "Ġres olutions", + "comm and", + "ĠPortug uese", + "Ġnick name", + "Ġde af", + "Feb ruary", + "Ġrecogn ise", + "Ġentire ty", + "Ġseason al", + "pl aced", + "ĠTe legraph", + "Ġmicro phone", + "our ing", + "Ġgr ains", + "Ġgovern ed", + "Ġpost p", + "ĠW aters", + "in ement", + "Ġund ocumented", + "ĠCom cast", + "Ġf ox", + "Ġassault s", + "re on", + "man y", + "ĠJen kins", + "ĠAny way", + "Ġassess ments", + "Ġdown s", + "ĠM ouse", + "Ġsuper b", + "k t", + "ĠD ow", + "Ġtax ation", + "4 01", + "Ġsm iles", + "Ġundert aken", + "Ġex h", + "Ġenthusi astic", + "Ġtw ent", + "Ġgovernment al", + "Ġautonom y", + "ĠTechn ologies", + "ĠCh ain", + "Ġpreval ent", + "f b", + "Ġnic otine", + "og ram", + "j ob", + "Ġawa iting", + "ĠMen u", + "Ġdep uties", + "k ov", + "ish ops", + "But ton", + "ĠShan ghai", + "Ġdies el", + "ĠD uck", + "R yan", + "ĠPC s", + "N F", + "j ury", + "ent e", + "Ġinacc urate", + "edd y", + "Wh atever", + "Ġshow c", + "ĠN ad", + "od us", + "et r", + "Ġplaint iffs", + "ĠW OR", + "ĠAss ange", + "Ġpriv at", + "Ġpremium s", + "Ġt am", + "UR L", + "Ġel ites", + "ĠR anger", + "otten ham", + "ĠH off", + "ĠAt hens", + "Ġdefin ite", + "Ġs ighed", + "Ġeven ly", + "2 11", + "ĠAm ber", + "ak ia", + "Ġmail ing", + "Ġcr ashing", + "ĠConfeder ate", + "ru gged", + "W al", + "ĠDep ths", + "Ġjuven ile", + "Ġreact or", + "Introdu ction", + "ĠDel uxe", + "19 95", + "ĠS anchez", + "ĠM ead", + "iv able", + ": -", + "ĠPlan ning", + "ĠT rap", + "qu in", + "ĠProt ect", + "ve red", + "In formation", + "Ġkid ney", + "inn amon", + "l as", + "Ġpolic ing", + "Ġtoler ate", + "ĠQ i", + "Ġbi ased", + "F ort", + "ĠK i", + "s ave", + "Ġprivile ged", + "Ġbe asts", + "ĠGl as", + "ĠC inem", + "Ġcome back", + "Sund ay", + "Ġext inction", + "h ops", + "Ġtrans mit", + "Ġdoub les", + "ĠFl at", + "16 7", + "Ġdis puted", + "Ġinjust ice", + "f oo", + "V ict", + "role um", + "ĠJul ie", + "Con text", + "ĠR arity", + "iss ue", + "Comp onent", + "Ġcounsel ing", + "an ne", + "d ark", + "Ġobject ions", + "u ilt", + "Ġg ast", + "Ġpl ac", + "Ġun used", + "ãĥ ĩ", + "ĠT rial", + "ĠJ as", + "hed ral", + "ob b", + "Ġtempor al", + "ĠPR O", + "ĠN W", + "ĠAnn iversary", + "L arge", + "Ġther m", + "Ġd avid", + "Ġsystem ic", + "ĠSh ir", + "m ut", + "ĠNe pt", + "add ress", + "Ġscan ning", + "Ġunderstand able", + "Ġcan vas", + "C at", + "ĠZ oo", + "Ġang els", + "L O", + "ĠStat ement", + "ĠS ig", + "ov able", + "ĠA way", + "sh aring", + "ocr ats", + "st ated", + "Ġweigh ing", + "N or", + "w ild", + "B ey", + "Ġaston ishing", + "ĠReyn olds", + "Ġop ener", + "Ġtrain er", + "Ġsurg ical", + "p n", + "Ġadjust ing", + "whe el", + "Ġf rown", + "erv ative", + "Ġsusp end", + "With in", + "te in", + "Ġobst acle", + "Ġliber ties", + "ym es", + "Ġur anium", + "ans om", + "an ol", + "ub a", + "ĠL oss", + "Ġa rous", + "ĠHend erson", + "W ow", + "s pl", + "c ur", + "Ġ Ń", + "Ġtheir s", + "Dam age", + "Ġdownload ing", + "Ġdisc ern", + "ĠSt o", + "ĠFl a", + "Ġh ath", + "ĠA j", + "Ġun pleasant", + "Europe an", + "exp ensive", + "Ġscreens hot", + "ĠU V", + "Ġall ied", + "ĠPers ian", + "Ġmonop oly", + "Ġat om", + "ĠReds kins", + "\"> <", + "Ġcan cell", + "Ġcinem a", + "13 1", + "f air", + "ĠAlf red", + "Ġd uck", + "arg s", + "22 3", + "ĠIS I", + "Ġsign aling", + "in ar", + "Ġlaugh s", + "Ġfor wards", + "Ġreck less", + "Ġlisten ers", + "at ivity", + "Ġvast ly", + "n ant", + "L ess", + "ĠHun ting", + "ĠScient ific", + "IT ED", + "Ġkn ight", + "ĠH TC", + "us a", + "t mp", + "Ġr ude", + "ĠLegend ary", + "Ġar ises", + "B ad", + "ĠCl aim", + "pe g", + "Ġreal ities", + "Th ink", + "Ġ °", + "Ġro de", + "Ġstri ve", + "Ġan ecd", + "Ġshort s", + "Ġhypot hes", + "Ġcoord inated", + "ĠGand hi", + "ĠF PS", + "R ED", + "Ġsuscept ible", + "Ġshr ink", + "ĠCh art", + "Hel p", + "Ġ ion", + "de ep", + "rib es", + "ĠK ai", + "ĠCustom er", + "Sum mary", + "Ġc ough", + "w ife", + "Ġl end", + "Ġposition ing", + "Ġlot tery", + "ĠC anyon", + "Ġf ade", + "Ġbron ze", + "ĠKenn y", + "Ġbo asts", + "ĠEnh anced", + "rec ord", + "Ġemer gence", + "Ġa kin", + "ĠB ert", + "it ous", + "âĸ ij", + "Ġst ip", + "Ġexch anged", + "om ore", + "als h", + "Ġreserv oir", + "Ġstand point", + "W M", + "Ġiniti ate", + "Ġdec ay", + "Ġbrew ery", + "Ġter ribly", + "Ġmort al", + "lev ard", + "Ġrev is", + "N I", + "el o", + "Ġconf ess", + "ĠMS NBC", + "Ġsub missions", + "Cont roller", + "Ġ20 2", + "ĠR uth", + "} );", + "ĠAz ure", + "Ġ .\"", + "20 6", + "ĠMarket ing", + "Ġl aund", + "ien cies", + "Ġrenown ed", + "ĠT rou", + "ĠN GO", + "ble ms", + "Ġterr ified", + "Ġwar ns", + "Ġper t", + "Ġuns ure", + "4 80", + "ale z", + "ult z", + "ĠOut side", + "Ġst yl", + "ĠUnder ground", + "Ġp anc", + "Ġd ictionary", + "Ġf oe", + "rim inal", + "ĠNor wegian", + "Ġj ailed", + "Ġm aternal", + "é e", + "ĠLu cy", + "c op", + "Ch o", + "Ġuns igned", + "ĠZe lda", + "ĠIns ider", + "ĠContin ued", + "Ġ13 3", + "ĠNar uto", + "ĠMajor ity", + "16 9", + "ĠW o", + "ãĤ ĵ", + "Ġpast or", + "Ġinform al", + "Ð ½", + "an throp", + "jo in", + "ãģ Ĺ", + "it ational", + "N P", + "ĠWrit ing", + "f n", + "ĠB ever", + "19 5", + "Ġy elling", + "Ġdr astically", + "Ġe ject", + "Ġne ut", + "Ġth rive", + "ĠFre qu", + "ou x", + "Ġpossess es", + "ĠSen ators", + "ĠD ES", + "ĠSh akespeare", + "ĠFran co", + "ĠL B", + "uch i", + "Ġinc arn", + "Ġfound ers", + "F unction", + "Ġbright ness", + "ĠB T", + "Ġwh ale", + "ĠThe ater", + "m ass", + "ĠD oll", + "S omething", + "Ġecho ed", + "ĠHe x", + "c rit", + "af ia", + "Ġgodd ess", + "Ġele ven", + "ĠPre view", + "ĠAur ora", + "Ġ4 01", + "uls ive", + "ĠLog an", + "in burgh", + "ĠCent ers", + "ĠON LY", + "ĠA id", + "Ġparad ox", + "Ġh urd", + "ĠL C", + "D ue", + "c ourt", + "Ġoff ended", + "Ġeval uating", + "ĠMatthew s", + "Ġto mb", + "Ġpay roll", + "Ġextra ction", + "ĠH ands", + "if i", + "Ġsuper natural", + "ĠCOM M", + "] =", + "dog s", + "Ġ5 12", + "ĠMe eting", + "Rich ard", + "ĠMax imum", + "Ġide als", + "Th ings", + "m and", + "ĠReg ardless", + "Ġhum ili", + "b uffer", + "L ittle", + "ĠD ani", + "ĠN ak", + "Ġliber ation", + "ĠA be", + "ĠO L", + "Ġstuff ed", + "ac a", + "ind a", + "raph ic", + "Ġmos qu", + "Ġcampaign ing", + "Ġoccup y", + "S qu", + "r ina", + "ĠW el", + "ĠV S", + "Ġphys ic", + "Ġp uls", + "r int", + "oad ed", + "ET F", + "ĠArch ives", + "Ġven ues", + "h ner", + "ĠTur bo", + "Ġl ust", + "Ġappeal ed", + "que z", + "il ib", + "ĠTim othy", + "Ġo mn", + "d ro", + "Ġobs ession", + "ĠSav age", + "19 96", + "Gl obal", + "J es", + "2 14", + "Ġsl iding", + "Ġdisapp ro", + "ĠMag ical", + "Ġvolunt arily", + "g b", + "ane y", + "Ġprop het", + "ĠRe in", + "ĠJul ia", + "ĠW orth", + "aur us", + "Ġb ounds", + "ie u", + ")) )", + "Ġcro re", + "ĠCitiz en", + "S ky", + "Ġcolumn ist", + "Ġseek ers", + "ond o", + "IS A", + "ĠL ength", + "Ġnost alg", + "Ġnew com", + "Ġdet rim", + "ent ric", + "3 75", + "ĠG E", + "Ġaut op", + "Ġacadem ics", + "App Data", + "ĠS hen", + "Ġid iot", + "ĠTrans it", + "Ġteasp oon", + "W il", + "K O", + "ĠCom edy", + "> ,", + "Ġpop ulated", + "W D", + "Ġp igs", + "ĠO culus", + "Ġsymp athetic", + "Ġmar athon", + "19 8", + "Ġseiz ure", + "s ided", + "Ġd op", + "irt ual", + "L and", + "ĠFl oor", + "osa urs", + "... ]", + "Ġl os", + "Ġsubsid iary", + "E Y", + "ĠPart s", + "ĠSt ef", + "ĠJud iciary", + "Ġ13 4", + "Ġmir rors", + "Ġk et", + "t imes", + "Ġneuro log", + "Ġc av", + "ĠGu est", + "Ġtum or", + "sc ill", + "ĠLl oyd", + "E st", + "Ġcle arer", + "Ġstere otypes", + "Ġd ur", + "not hing", + "Red dit", + "Ġnegoti ated", + "---------------- --------", + "23 5", + "Ġfl own", + "ĠSe oul", + "ĠRes ident", + "ĠS CH", + "Ġdisappear ance", + "ĠV ince", + "g rown", + "Ġgrab s", + "r il", + "ĠInf inite", + "ĠTw enty", + "Ġpedest rian", + "Ġjer sey", + "ĠF ur", + "ĠInf inity", + "ĠEll iott", + "Ġment or", + "Ġmor ally", + "Ġob ey", + "sec ure", + "iff e", + "Ġantib iotics", + "ang led", + "ĠFre eman", + "ĠIntrodu ction", + "J un", + "Ġm arsh", + "ic ans", + "ĠEV ENTS", + "och ond", + "W all", + "icult y", + "Ġmisdem eanor", + "Ġl y", + "Th omas", + "ĠRes olution", + "Ġanim ations", + "ĠD ry", + "Ġinter course", + "ĠNew castle", + "ĠH og", + "ĠEqu ipment", + "17 7", + "Ġterrit orial", + "Ġarch ives", + "20 3", + "Fil ter", + "ĠMun ich", + "Ġcommand ed", + "ĠW and", + "Ġpit ches", + "ĠCro at", + "Ġrat ios", + "ĠM its", + "Ġaccum ulated", + "ĠSpecific ally", + "Ġgentle man", + "acer b", + "Ġp enn", + "Ġa ka", + "ĠF uk", + "Ġinterven e", + "ĠRef uge", + "ĠAlz heimer", + "Ġsuccess ion", + "oh an", + "d oes", + "L ord", + "Ġsepar at", + "Ġcorrespond ence", + "Ġsh iny", + "P rior", + "Ġs ulf", + "Ġmiser able", + "Ġded ication", + "( ).", + "Ġspecial ists", + "Ġdefect s", + "ĠC ult", + "ĠX ia", + "Ġje opard", + "ĠO re", + "Ab ility", + "Ġle ar", + "Ġamb itions", + "ĠB MI", + "ĠArab s", + "Ġ19 42", + "Ġpres ervation", + "ific ate", + "Ġash amed", + "l oss", + "ĠRest aur", + "Ġrese mble", + "Ġen rich", + "ĠK N", + "ĠCl an", + "fl oat", + "Ġplay able", + "IT T", + "Ġharm ony", + "arr ison", + "ĠWe instein", + "w ere", + "Ġpoison ing", + "ĠCom put", + "ĠWord Press", + "m ajor", + "ĠVal ve", + "F an", + "ĠTh row", + "ĠRom ans", + "ĠDep ression", + "ad os", + "Ġtort ured", + "Ġbal ancing", + "bott om", + "Ġacqu iring", + "ĠMon te", + "ard i", + "Ġa ura", + "Ġ# #", + "ĠStand ing", + "ĠAtl as", + "C F", + "Ġintr ins", + "ĠBen ghazi", + "Ġcamp ing", + "Ġt apped", + "bl ade", + "st rous", + "ĠR abb", + "ĠW ritten", + "t ip", + "ĠNe igh", + "ster dam", + "ĠAll ow", + "ĠHe aling", + "ĠR hod", + "n um", + "Ġcaffe ine", + "ĠPer cent", + "Ġbo o", + "Ġapp les", + "30 5", + "Ġwel coming", + "Ġappl aud", + "Ġa usterity", + " ±", + "ĠRe ality", + "ef e", + "å ®", + "Ġsu cks", + "Ġtab s", + "ĠPay Pal", + "Ġback pack", + "Ġgif ted", + "abul ary", + "ĠSc out", + "ir teen", + "Ġch in", + "Ġo mitted", + "Ġnegative ly", + "Ġaccess ing", + "ĠE arn", + "Ġambul ance", + "Ġhead phones", + "Ġ20 5", + "ĠRef resh", + "p resident", + "ĠKit chen", + "ĠEnt ered", + "ĠS nyder", + "00 5", + "om ical", + "Ġborrow ed", + "ĠN em", + "Ġav iation", + "Ġst all", + "rim ination", + "Ġuniform s", + "it ime", + "ĠSim mons", + "ener gy", + "ab lished", + "y y", + "qual ified", + "Ġrall ies", + "ĠSt uart", + "fl ight", + "Ġgang s", + "r ag", + "Ġv ault", + "lu x", + "ĠCom par", + "Ġdesign ation", + "20 9", + "ĠJ os", + "d ollar", + "z ero", + "Ġwell s", + "30 3", + "Ġconstitu ents", + "Ġhe ck", + "Ġc ows", + "Ġcommand ers", + "Ġdifferent ial", + "ĠC atherine", + "29 9", + "Ġval ve", + "Ġbr ace", + "Ġperspect ives", + "c ert", + "f act", + "icular ly", + "ĠMc N", + "pl anes", + "Ġint ric", + "Ġpe as", + "ov an", + "Ġtoss ed", + "ret ch", + "ĠL opez", + "Ġunf amiliar", + "de ath", + "ĠA part", + "ĠCh ang", + "Ġrelie ved", + "rop he", + "Ġair ports", + "Ġfre ak", + "ut il", + "M ill", + "ĠCh in", + "ĠOw en", + "m ale", + "ĠBro ken", + "ĠWind s", + "ro b", + "r ising", + "Ġfire fighters", + "Ġauthor itarian", + "Ġ14 8", + "Bit coin", + "ex ternal", + "Ġbrow sers", + "iche ver", + "or ian", + "Ġun b", + "Ġpo ke", + "ĠZ ot", + "M id", + "ĠPop ular", + "Ġco vert", + "Ġcont ributes", + "Ġ6 50", + "Ġcont ention", + "G ate", + "Ġcons oles", + "Ġchrom os", + "ĠI X", + "Ġvis ually", + "ĠE isen", + "Ġjewel ry", + "Ġdeleg ation", + "Ġacceler ate", + "ĠR iley", + "Ġsl ope", + "Ġind oor", + "it ially", + "Ġhuge ly", + "Ġtun nels", + "Ġfin ed", + "Ġdirect ive", + "Ġfore head", + "ustom ed", + "Ġsk ate", + "Mus ic", + "g as", + "Ġrecogn izing", + "am bo", + "Ġover weight", + "ĠGr ade", + "Ù Ĭ", + "Ġsound ing", + "Ġlock ing", + "ĠR EM", + "St ore", + "Ġexc av", + "ĠLike wise", + "ĠL ights", + "Ġel bow", + "ĠSupp ly", + "w ic", + "Ġhands ome", + "19 94", + "C oll", + "Ġadequ ately", + "ĠAssoci ate", + "Ġstri ps", + "Ġcrack down", + "Ġmar vel", + "ĠK un", + "Ġpass ages", + "@@ @@", + "ĠT all", + "Ġthought ful", + "names e", + "Ġprost itution", + "bus iness", + "Ġball istic", + "person al", + "c ig", + "iz ational", + "R ound", + "ĠÂłĠÂł ĠÂłĠÂł", + "ĠCole man", + "Ġadm itting", + "ĠPl ug", + "Ġbit coins", + "ĠSu z", + "Ġfair ness", + "Ġsupp lier", + "Ġcatast rophic", + "ĠHel en", + "o qu", + "M arc", + "ĠArt icles", + "g ie", + "Ġend angered", + "Ġdest iny", + "ĠVol t", + "ol ia", + "ax is", + "Ġche at", + "Ġun ified", + "IC O", + "qu ote", + "30 2", + "ĠS ed", + "Ġsupp ression", + "Ġanaly zing", + "Ġsqu at", + "Ġfig uring", + "Ġcoordin ates", + "Ġch unks", + "Ġ19 46", + "Ġsub p", + "Ġw iki", + "ĠFor bes", + "ĠJ upiter", + "ĠE rik", + "im er", + "ĠCom mercial", + "\\ )", + "Ġlegitim acy", + "Ġd ental", + "ĠMe an", + "Ġdefic its", + "5 50", + "Orig inally", + "ĠHor ror", + "Ġcontam ination", + "ll ah", + "Ġconf isc", + "ĠCl are", + "T B", + "ĠF ailed", + "an ed", + "Ġrul er", + "ĠCont roller", + "Ġfemin ists", + "F ix", + "g ay", + "20 7", + "Ġr abbit", + "Th ird", + "ownt own", + "Ġgl ue", + "Ġvol atile", + "Ġsh ining", + "Ġf oll", + "Ġimp aired", + "Ġsup ers", + "æ Ī", + "Ġcl utch", + "ļé ĨĴ", + "Ġpro let", + "Ġ( !", + "Ġy elled", + "ĠK iev", + "ĠEr n", + "ĠSh ock", + "K B", + "Ġsit uated", + "qu ery", + "ĠN as", + "Ġan nex", + "char acter", + "ĠHol iday", + "Ġautom ation", + "ĠJ ill", + "ĠRem astered", + "Ġl inem", + "Ġwild erness", + "ĠHor izon", + "ĠGu inea", + "A Z", + "Ġmain land", + "Ġsec recy", + "LE ASE", + "Ġp unk", + "ĠProv ince", + "( ),", + "Spe ed", + "Ġhand ing", + "ĠSeb ast", + "S ir", + "r ase", + "Ġj ournals", + "Ġcon gest", + "ĠT ut", + "ir rel", + "Ġschizophren ia", + "Ġmis ogyn", + "health y", + "I ron", + "Ġreact ed", + "- $", + "25 2", + "Ġpl ural", + "Ġpl um", + "Ġbarg ain", + "Ġground ed", + "f inder", + "Ġdis se", + "ĠL az", + "O OD", + "Ġat roc", + "F actory", + "Ġmin ions", + "Ġo ri", + "ĠB rave", + "ĠP RE", + "ĠMy anmar", + "ĠH od", + "Ġexped ition", + "Ġexpl ode", + "ĠCo ord", + "Ġext r", + "ĠB rief", + "ĠAD HD", + "Ġhard core", + "feed ing", + "Ġd ile", + "ĠF ruit", + "Ġvacc ination", + "ĠM ao", + "osp here", + "Ġcont ests", + "- |", + "Ġf ren", + "isp here", + "R om", + "ĠSh arp", + "ĠTre nd", + "Ġdis connect", + "âĢ¢ âĢ¢", + "Ġper secution", + "Ear th", + "Ġhealth ier", + "38 4", + "Ġc ob", + "ĠTr inity", + "OW S", + "AN N", + "Ġspecial ty", + "Ġg ru", + "Ġcooper ative", + "wh y", + "Start ing", + "ĠIss ues", + "st re", + "ens or", + "Ġ18 5", + "Ad v", + "! ?", + "ĠRe vel", + "em ia", + "ĠH ulk", + "Ġcelebr ations", + "ĠS ou", + "ra ud", + "ĠKle in", + "Ġun real", + "con text", + "Ġpartners hips", + "Ġadop ting", + "t ical", + "Ġspl ash", + "ĠHe zbollah", + "c ategory", + "cycl op", + "xt on", + "ĠD ot", + "urd y", + "t z", + "Ġenvelop e", + "ĠN L", + "â ķ", + "Ġwhere in", + "Spe c", + "18 4", + "Ġte lev", + "al iation", + "Ġmyth s", + "å °", + "Ġrig orous", + "Ġcommun icating", + "Ġobser ver", + "Ġre he", + "ĠW ash", + "Ġapolog ized", + "ĠT in", + "Ġexpend itures", + "work ers", + "d ocument", + "Ġhes itate", + "ĠLen in", + "Ġunpredict able", + "Ġrenew al", + "cl er", + "ok ia", + "ĠCON T", + "Ġpost season", + "Tok ens", + "Ġex acerb", + "Ġbet ting", + "Ġ14 7", + "Ġelev ation", + "W ood", + "ĠSol omon", + "19 4", + "00 4", + "out put", + "Ġredu nd", + "ĠM umbai", + "Ġp H", + "Ġreprodu ce", + "ĠD uration", + "MA X", + "Ġb og", + "C BS", + "ĠBal ance", + "ĠS gt", + "ĠRec ent", + "Ġc d", + "Ġpo pped", + "Ġincomp et", + "pro p", + "ay an", + "g uy", + "Pac ific", + "Ġty r", + "Ġ{ {", + "ĠMy stic", + "ĠD ana", + "Ġmast urb", + "Ġge ometry", + "à ¢", + "ĠCor rect", + "Ġtraject ory", + "Ġdistract ed", + "Ġf oo", + "ĠW elsh", + "L uc", + "m ith", + "Ġrug by", + "Ġrespir atory", + "Ġtri angle", + "Ġ2 15", + "Ġunder graduate", + "ĠSuper ior", + "ch anging", + "_ -", + "Ġright ly", + "Ġrefere e", + "Ġluc rative", + "Ġun authorized", + "Ġresemb les", + "ĠGN U", + "ĠDer by", + "Ġpath ways", + "ĠL ed", + "Ġend urance", + "Ġst int", + "Ġcollect or", + "F ast", + "Ġd ots", + "Ġnational s", + "ĠSec urities", + "Ġwh ip", + "Par am", + "Ġlearn s", + "M agic", + "Ġdetail ing", + "m oon", + "Ġbroadcast ing", + "Ġb aked", + "26 5", + "hol m", + "ĠS ah", + "ĠHus sein", + "ĠCourt esy", + "17 4", + "Ġ14 6", + "Ġge ographic", + "pe ace", + "Ġjud ging", + "ĠS tern", + "B ur", + "Ġstory line", + "G un", + "ĠSt ick", + "24 5", + "30 7", + "ãĤ´ ãĥ³", + "ĠAdminist rator", + "Ġbur nt", + "Ġp ave", + "ch oes", + "Ex ec", + "Ġcamp uses", + "Res ult", + "Ġmut ations", + "ĠCh arter", + "Ġcapt ures", + "Ġcomp ares", + "Ġbad ge", + "S cient", + "Ġer ad", + "ier y", + "o i", + "ett es", + "ĠE state", + "Ġst rap", + "Ġproud ly", + "Ġf ried", + "Ġwithd rawn", + "ĠV oy", + "ph ony", + "It ems", + "ĠP ierce", + "b ard", + "Ġann otation", + "ant on", + "ill on", + "Im pro", + "... )", + "Ġhapp ier", + "---- --", + "ad just", + "Ġstaff ers", + "Ġactiv ism", + "Ġper f", + "Ġal right", + "N eed", + "Ġcomm ence", + "Ġopio id", + "ĠAm anda", + "E s", + "ĠP ars", + "ĠK aw", + "W orks", + "24 8", + "Ġind o", + "t c", + "end ant", + "ĠM oto", + "Ġlegal ization", + "OT E", + "Ġtask ed", + "Ġt sp", + "ĠACT IONS", + "16 6", + "Ġrefres hing", + "ĠN R", + "ĠPere z", + "Ġinfring ement", + "S Y", + "List en", + "in ning", + "k u", + "Ġrot ate", + "pro gram", + "ar ah", + "Des ign", + "Ġ( £", + "Ġst oring", + "Ġwar rants", + "Ġjud gement", + "ĠB rist", + "us ually", + "ph oto", + "ĠR an", + "ĠP ine", + "Ġoutrage ous", + "ĠValent ine", + "lu ence", + "ĠEvery body", + "Al tern", + "Ġrele vance", + "Ġtermin ated", + "Ġd essert", + "Ġfulf illed", + "Ġprosecut ed", + "ĠW ords", + "Ġm igrant", + "Ġcultiv ation", + "ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ", + "idel ity", + "ĠV ern", + "ĠLog in", + "Ġmetaph or", + "ĠT ip", + "Ġrecru its", + "ĠP ig", + "rib ing", + "Ġenthusi asts", + "ex per", + "Ġfright ening", + "ĠH air", + "ans on", + "str ate", + "Ġh i", + "He ight", + "Ġown ing", + "n one", + "Ġdis like", + "Ġkn ives", + "pher d", + "Ġloud ly", + "ĠAP Is", + "Dis play", + "ĠL ac", + "ĠUS S", + "ab l", + "ver ages", + "J ew", + "Ġ17 2", + "ĠHist orical", + "at oon", + "ĠPhys ics", + "in tern", + "Ġwarm th", + "Ġto pp", + "D M", + "Ġgun man", + "Ġem peror", + "od i", + "ãĥ £", + "in atory", + "ĠR ib", + "Ġ13 1", + "ĠSat urn", + "ĠSh ining", + "Ġw aking", + "Qu otes", + "Ġcomed ian", + "en berg", + " ½", + "Ġbelie vers", + "Ġpaper work", + "c ustom", + "Ġle v", + "Ġl ament", + "Ġpour ing", + "22 2", + "p olitical", + "ĠSupp lement", + "m aid", + "Ġcruel ty", + "Ġt read", + "ys ics", + "A w", + "rit es", + "Ġmod ifier", + "ĠP osition", + "Ad am", + "l b", + "ub s", + "Ġimper fect", + "Ġcl usters", + "ĠEngine er", + "ĠC herry", + "Ġinaug uration", + "ĠS au", + "Ġembod iment", + "ĠUn cle", + "Ġover r", + "Ġexplos ions", + "c ule", + "ĠPrinc eton", + "ĠAndre a", + "Ġincorrect ly", + "Ġearn est", + "Ġpil gr", + "ĠS print", + "Ġslee ve", + "Ġhe ars", + "ĠAm azing", + "Ġbrow sing", + "ag in", + "Ġhom eland", + "Ġha w", + "Ġd iving", + "ist ered", + "17 8", + "Ġbarg aining", + "ĠArc ade", + "Ġdeleg ate", + "ters on", + "................................ ................................", + "ĠJackson ville", + "27 5", + "Ġst agn", + "Ġad am", + "ĠSher man", + "C B", + "Ġsub urb", + "ĠFood s", + "Ġconver ting", + "ĠAr ist", + "Ġch ambers", + "l ove", + "Ġam ino", + "ĠG an", + "Ġmad ness", + "m c", + "ĠUS E", + "def ined", + "Ġul tr", + "ind ust", + "Ġw olves", + "l ance", + "Add itionally", + "Ġcr acks", + "as ia", + "ĠRe ason", + "ĠP ump", + "Ġaccident al", + "ĠL aser", + "ĠR id", + "Ġinitial ized", + "ell i", + "Ġun named", + "Ġn oun", + "ĠPass ed", + "Ġhost age", + "ĠEth iop", + "sh irts", + "Ġun rel", + "ĠEmb assy", + "Ġ19 41", + "Ġat oms", + "Ġpur ported", + "16 4", + "ĠF i", + "Ġgall ons", + "ĠMon ica", + "Ġp g", + "en ment", + "Ġsort ed", + "ĠG ospel", + "Ġhe ights", + "Ġtr aced", + "Ġunder going", + "She ll", + "Ġs acks", + "Ġproport ions", + "Ġhall uc", + "F ont", + "ac et", + "Ġwar mer", + "ĠIN TER", + "Ġgrab bing", + "Pl ug", + "Ġreal ization", + "ĠBur ke", + "Ġen chant", + "AT ER", + "ĠSe ed", + "Ġabund ant", + "F M", + "Ġc ivic", + "V s", + "is i", + "Ġv ow", + "Ġre per", + "ĠPartners hip", + "Ġpenet ration", + "Ġax e", + "Ġsh attered", + "ĠZ ombies", + "Ġv inyl", + "ĠAl ert", + "e on", + "Ġoblig ed", + "ĠIll ust", + "ĠPl aza", + "ĠFront ier", + "Ġdavid jl", + "ĠSer ial", + "ĠH av", + "ĠNut rition", + "B i", + "Ġâĸ Ī", + "ĠJ ays", + "lin ux", + "Ġhur ry", + "Ġv oy", + "Ġhop eless", + "ĠSte alth", + "Ġ ãģ", + "ess ors", + "tt le", + "b org", + "ĠSaf ari", + "f ell", + "Ġw ary", + "d ue", + "ĠAb ove", + "H a", + "E LL", + "Ġnot or", + "ĠW on", + "T oo", + "Ġoccup ations", + "Ġposs essions", + "Ġinv iting", + "Ġpred ators", + "Ġacceler ated", + "Ġ15 7", + "uter te", + "ĠC ube", + "e ast", + "acc ount", + "G ive", + "Ġtrans plant", + "red ients", + "id able", + "Ġscreens hots", + "ĠG und", + "ĠF S", + "Ġtravel ers", + "Ġsens ory", + "ĠF iat", + "ĠRock ets", + "İ ĭ", + "_ {", + "F riend", + "Ġchar ming", + "AL S", + "Ġenjoy ment", + "m ph", + "Ġ5 000", + "ĠRE G", + "Ù Ĩ", + "b ia", + "Ġcomp ilation", + "ro st", + "ĠV P", + "ĠSch ne", + "201 9", + "Ġcop ying", + "M ORE", + "ĠFl ore", + "f alls", + "2 15", + "t otal", + "Ġdis ciples", + "d ouble", + "Ġexceed ing", + "Ġsm ashed", + "Ġconcept ual", + "ĠRom ania", + "ĠB rent", + "ĠI CE", + "ĠT ou", + "Ġg rap", + "Ġn ails", + "18 9", + "ãĥ ĺ", + "Ġproc ure", + "e ur", + "Ġconfir ming", + "ĠC ec", + "aw i", + "ĠEd en", + "Ġn g", + "Ġengine ered", + "at ics", + "Ġhook ed", + "Ġdisgust ing", + "ĠMur der", + "ãĤ ¿", + "L ibrary", + "Ġ16 8", + "Al most", + "hem atic", + "Men u", + "ĠNot re", + "ĠJ ur", + "Ġkidn apped", + "Ġhack er", + "ĠJ ade", + "Ġcreep y", + "Ġdraw ings", + "ĠSpons or", + "Ġcycl ists", + "ĠGob lin", + "Ġoptim ized", + "Ġst aged", + "ĠMc D", + "bet ween", + "A ge", + "en o", + "S ex", + "ĠW ide", + "n ings", + "av is", + "Ġincap able", + "ĠK ob", + "Ġreward ing", + "ĠL one", + "oles cent", + "Ġcontract ed", + "Ġstick y", + "J ose", + "B all", + "f est", + "ĠIn put", + "ĠRec ently", + "Ġto mat", + "squ are", + "App lication", + "Ġnit rogen", + "Ġdupl icate", + "ĠRec on", + "ĠD ear", + "L ondon", + "Ġint ra", + "Ġd ock", + "Ġout reach", + "ĠM illion", + "Ġmamm als", + "am pton", + "V AL", + "Ġsn aps", + "Ġd os", + "ĠWh ole", + "ĠRead y", + "T ry", + "ĠWinn ipeg", + "ear ance", + "Ġinc urred", + "ren ched", + "ĠNS W", + "il ot", + "rain e", + "Ġc ube", + "g ot", + "Ġrun way", + "etermin ed", + "ĠHaw ks", + "Ġsurviv or", + "ĠW ish", + "ĠD in", + "ĠDE F", + "ĠV ault", + "18 7", + "Ġmush rooms", + "Ġcris p", + "be y", + "ĠDisco very", + "Ġdevelopment al", + "Ġparad igm", + "Ġcha otic", + "ĠT su", + "Ġ3 33", + "b ons", + "Ġbacter ial", + "Ġcomm its", + "Ġcos mic", + "Ġme ga", + "oc ative", + "ĠP aint", + "ophob ic", + "Ġv ain", + "Ġcar ved", + "ĠTh ief", + "ĠG ul", + "ows hip", + "Ġc ites", + "ĠEd inburgh", + "Ġdimin ished", + "Ġacknowled ges", + "ĠK ills", + "Ġmic row", + "ĠHer a", + "Ġsen iors", + "Ġwhere by", + "H op", + "at ron", + "Ġun available", + "ĠN ate", + "Ġ4 80", + "Ġsl ated", + "ĠRe becca", + "ĠB attery", + "Ġgram mar", + "Ġhead set", + "Ġcurs or", + "Ġex cluding", + "any e", + "aunder ing", + "eb in", + "Ġfeas ible", + "ĠPub lishing", + "ĠLab s", + "ĠCl iff", + "ĠFerr ari", + "Ġp ac", + "vis ible", + "mark ed", + "pe ll", + "Ġpol ite", + "Ġstagger ing", + "ĠGal actic", + "Ġsuper st", + "Ġpar an", + "ĠOffic ers", + "ãĢ ģ", + "Ġspecific s", + "ul us", + "23 9", + "ĠP aste", + "AM P", + "ĠPan ama", + "ĠDe lete", + "angu ard", + "rest rial", + "Ġhero ic", + "ĠD y", + "ا ÙĦ", + "Ġincumb ent", + "Ġcr unch", + "t ro", + "Ġsc oop", + "Ġblog ger", + "Ġsell ers", + "ure n", + "Ġmedic ines", + "ĠC aps", + "ĠAnim ation", + "ox y", + "Ġout ward", + "Ġinqu iries", + "22 9", + "Ġpsych ologist", + "ĠS ask", + "ev il", + "Ġcontam inated", + "ãĤ ¨", + "he rence", + "Ġbrand ed", + "ĠAbd ul", + "z h", + "Ġparagraph s", + "Ġmin s", + "Ġcor related", + "er b", + "Ġimp art", + "Ġmil estone", + "ĠSol utions", + "ot le", + "Ġunder cover", + "Ġmar ched", + "ĠCharg ers", + "f ax", + "ĠSec rets", + "Ġr uth", + "we ather", + "Ġfemin ine", + "Ġsh am", + "Ġprest igious", + "igg ins", + "Ġs ung", + "hist ory", + "ett le", + "gg ie", + "Ġout dated", + "ol and", + "Ġper ceptions", + "ĠS ession", + "ĠDod gers", + "u j", + "ĠE ND", + "D oc", + "Ġdefic iency", + "Gr and", + "ĠJ oker", + "Ġretro spect", + "Ġdiagn ostic", + "Ġharm less", + "Ġro gue", + "ĠA val", + "E qu", + "Ġtrans c", + "ĠRoberts on", + "ĠDep ending", + "ĠBurn s", + "iv o", + "Ġhost ility", + "F eatures", + "ĵ ĺ", + "Ġdis comfort", + "ĠL CD", + "spec ified", + "ĠEx pect", + "3 40", + "Ġimper ative", + "ĠReg ular", + "Ch inese", + "Ġstate wide", + "Ġsy mm", + "Ġlo ops", + "Ġaut umn", + "N ick", + "Ġsh aping", + "Ġqu ot", + "Ġc herry", + "ĠCross ref", + "è¦ ļéĨĴ", + "Stand ard", + "he ed", + "ĠD ell", + "ĠViet namese", + "Ġo st", + "ĠV alkyrie", + "O A", + "Ass ad", + "Ġreb ound", + "ĠTra ffic", + "pl aces", + "æ ĺ", + "ĠB uc", + "17 2", + "Ġshel ters", + "Ġins isting", + "ĠCertain ly", + "ĠKenn eth", + "ĠT CP", + "Ġpen al", + "ĠRe play", + "he ard", + "Ġdial ect", + "iz a", + "ĠF Y", + "it cher", + "ĠD L", + "Ġspir al", + "Ġquarterback s", + "Ġh ull", + "Ġgo ogle", + "Ġto dd", + "ĠSter ling", + "ĠPl ate", + "Ġsp ying", + "mb ol", + "ĠReal m", + "ĠPro ced", + "ĠCr ash", + "Ġtermin ate", + "Ġprotest ing", + "C enter", + "gu ided", + "Ġun cover", + "Ġboy cott", + "Ġreal izes", + "s ound", + "Ġpret ending", + "ĠV as", + "19 80", + "Ġfram ed", + "Ġ13 9", + "Ġdesc ended", + "Ġrehab ilitation", + "Ġborrow ing", + "ĠB uch", + "Ġbl ur", + "R on", + "ĠFro zen", + "en za", + "Ch ief", + "ĠP oor", + "Ġtransl ates", + "M IN", + "Ġ2 12", + "J ECT", + "Ġerupt ed", + "Ġsuccess es", + "S EC", + "Ġpl ague", + "Ġg ems", + "d oms", + "Ġstret ches", + "ĠSp y", + "Ġstory telling", + "C redit", + "ĠP ush", + "Ġtra ction", + "Ġin effective", + "ĠL una", + "Ġt apes", + "Ġanaly tics", + "erc ise", + "Ġprogram mes", + "ĠCar bon", + "Ġbeh old", + "he avy", + "ĠConserv ation", + "ĠF IR", + "Ġs ack", + "ter min", + "ric ks", + "Ġhous ed", + "Ġunus ually", + "I ce", + "Ġexecut ing", + "ĠMor oc", + "ed ay", + "Ġed itions", + "Ġsm arter", + "ĠB A", + "Ġout law", + "Ġvan ished", + "ib a", + "AL SE", + "ĠSil va", + "23 8", + "C ould", + "Ġphilos opher", + "Ġevac uated", + "Sec ret", + "14 2", + "Ġvis as", + "ãĤ ¬", + "ĠM alt", + "ĠClear ly", + "ĠN iger", + "ĠC airo", + "ĠF ist", + "3 80", + "ĠX ML", + "aut o", + "it ant", + "Ġrein forced", + "Rec ord", + "ĠSurviv or", + "G Hz", + "Ġscrew s", + "parent s", + "Ġo ceans", + "ma res", + "Ġbra kes", + "vas ive", + "Ġhell o", + "ĠS IM", + "rim p", + "Ġo re", + "ĠArm our", + "24 7", + "Ġterr ific", + "Ġt ones", + "14 1", + "ĠMin utes", + "Ep isode", + "Ġcur ves", + "Ġinflamm atory", + "Ġbat ting", + "ĠBeaut iful", + "L ay", + "Ġunp op", + "v able", + "Ġr iots", + "ĠTact ics", + "b augh", + "ĠC ock", + "Ġorg asm", + "ĠS as", + "Ġconstruct or", + "et z", + "G ov", + "Ġant agon", + "Ġthe at", + "Ġde eds", + "ha o", + "c uts", + "ĠMc Cl", + "Ġu m", + "ĠScient ists", + "Ġgrass roots", + "ys sey", + "\"] =>", + "Ġsurf aced", + "Ġsh ades", + "Ġneighb ours", + "Ġad vertis", + "oy a", + "Ġmer ged", + "Up on", + "Ġg ad", + "Ġanticip ate", + "Any way", + "Ġsl ogan", + "Ġdis respect", + "I ran", + "ĠT B", + "act ed", + "Ġsubp oen", + "medi ately", + "OO OO", + "Ġwa iver", + "Ġvulner abilities", + "ott esville", + "ĠHuff ington", + "J osh", + "ĠD H", + "M onday", + "ĠEll en", + "K now", + "x on", + "it ems", + "22 8", + "Ġf ills", + "ĠN ike", + "Ġcum ulative", + "and als", + "I r", + "Ġ ì", + "Ġfr iction", + "ig ator", + "Ġsc ans", + "ĠVi enna", + "ld om", + "Ġperform ers", + "P rim", + "Ġb idding", + "M ur", + "Ġlean ed", + "ĠPri x", + "al ks", + "Ġ[ âĢ¦]", + "ĠTw itch", + "ĠDevelop er", + "ĠG ir", + "Ġcall back", + "Ab stract", + "Ġacc ustomed", + "Ġfreed oms", + "ĠP G", + "ur acy", + "Ġl ump", + "is man", + ",, ,,", + "19 92", + "ĠR ED", + "Ġwor m", + "M atch", + "ĠPl atinum", + "I J", + "ĠOwn er", + "Tri via", + "com pl", + "Ġnew born", + "Ġfant as", + "O wn", + "Ġ19 59", + "Ġsymp ath", + "Ġub iqu", + "Ġoutput s", + "Ġal lev", + "Ġpr ag", + "K evin", + "Ġfav ors", + "Ġbur ial", + "Ġn urt", + "so lete", + "c ache", + "Ġ15 6", + "Ġunl ocks", + "te chn", + "M aking", + "Ġcon quer", + "ad ic", + "æ ĸ", + "Ġel f", + "Ġelect orate", + "ĠKurd s", + "ĠSt ack", + "ĠSam urai", + "Ġâ ĺħ", + "Ġ{ }", + "ĠS aid", + "ĠFall out", + "Ġkind ness", + "ĠCustom s", + "ĠBou levard", + "Ġhelicop ters", + "ot ics", + "ĠVe get", + "com ment", + "Ġcritic ised", + "Ġpol ished", + "ĠRem ix", + "ĠC ultural", + "Ġrec ons", + "Ġdo i", + "at em", + "Sc reen", + "Ġbar red", + "Com ments", + "ĠGener ally", + "Ġsl ap", + "7 20", + "V ari", + "p ine", + "Ġem pt", + "Ġh ats", + "ĠPlay ing", + "l ab", + "a verage", + "form s", + "ĠC otton", + "Ġcan s", + "ĠD ON", + "ĠSom alia", + "C rypt", + "ĠIncre ases", + "E ver", + "mod ern", + "Ġsur geon", + "3 000", + "Ġrandom ized", + "================================ ================================", + "B ern", + "im pl", + "ĠC OR", + "Ġpro claim", + "th ouse", + "Ġto es", + "Ġam ple", + "Ġpres erving", + "Ġdis bel", + "gr and", + "B esides", + "Ġsil k", + "ĠPat tern", + "h m", + "Ġenter prises", + "Ġaffidav it", + "ĠAdvis ory", + "Ġadvert ised", + "ĠRel igious", + "se ctions", + "psy ch", + "ĠField s", + "aw ays", + "Ġhasht ag", + "ĠNight mare", + "Ġv ampire", + "Ġfore nsic", + "rosso ver", + "n ar", + "Ġn avy", + "Ġvac ant", + "ĠD uel", + "Ġhall way", + "Ġface book", + "ident ally", + "ĠN RA", + "Ġm att", + "Ġhur ricane", + "ĠKir by", + "ĠP uzzle", + "Ġsk irt", + "ou st", + "du llah", + "Ġanal ogy", + "in ion", + "Ġtomat oes", + "ĠN V", + "ĠPe ak", + "ĠMe yer", + "Ġappoint ments", + "Ġm asc", + "Ġal ley", + "re hend", + "Ġchar ities", + "Ġund o", + "Ġdest inations", + "ĠTest ing", + "\"> \"", + "c ats", + "* .", + "Ġgest ures", + "gener al", + "Le ague", + "Ġpack ets", + "ĠInspect or", + "ĠBer g", + "Ġfraud ulent", + "Ġcritic ize", + "F un", + "Ġbl aming", + "nd ra", + "Ġsl ash", + "ĠE ston", + "Ġpropos ing", + "Ġwh ales", + "Ġtherap ist", + "Ġsub set", + "Ġle isure", + "EL D", + "ĠC VE", + "ĠAct ivity", + "Ġcul min", + "sh op", + "ĠD AY", + "is cher", + "ĠAdmir al", + "ĠAtt acks", + "Ġ19 58", + "Ġmem oir", + "Ġfold ed", + "Ġsex ist", + "Ġ15 3", + "ĠL I", + "Ġread ings", + "Ġembarrass ment", + "ĠEmploy ment", + "w art", + "ch in", + "Ġcontin uation", + "l ia", + "Rec ently", + "Ġd uel", + "Ġevac uation", + "ĠKash mir", + "Ġdis position", + "ĠR ig", + "Ġbol ts", + "Ġins urers", + "4 67", + "M ex", + "Ġret aliation", + "Ġmis ery", + "Ġunre asonable", + "r aining", + "I mm", + "ĠP U", + "em er", + "Ġgen ital", + "ãĤ ³", + "ĠC andy", + "Ġon ions", + "ĠP att", + "lin er", + "Ġconced ed", + "Ġf a", + "Ġfor c", + "ĠH ernandez", + "ĠGe off", + "deb ian", + "ĠTe ams", + "Ġc ries", + "Ġhome owners", + "23 7", + "A BC", + "Ġst itch", + "Ġstat istic", + "Ġhead ers", + "ĠBi ology", + "Ġmot ors", + "ĠG EN", + "ĠL ip", + "Ġh ates", + "Ġhe el", + "S elf", + "i pl", + "ED IT", + "ort ing", + "Ġann ot", + "ĠSpe ech", + "old emort", + "ĠJ avascript", + "ĠLe Bron", + "Ġfoot print", + "Ġf n", + "Ġseiz ures", + "n as", + "h ide", + "Ġ19 54", + "ĠBe e", + "ĠDecl aration", + "ĠKat ie", + "Ġreserv ations", + "N R", + "f emale", + "Ġsatur ated", + "Ġb iblical", + "Ġtroll s", + "Dev ice", + "ph otos", + "Ġdr ums", + "ãĥīãĥ© ãĤ´ãĥ³", + "N ight", + "f ighter", + "ĠH ak", + "ri ber", + "Ġc ush", + "Ġdiscipl inary", + "ba um", + "ĠG H", + "ĠSch midt", + "ilib rium", + "Ġs ixty", + "ĠKush ner", + "ro ts", + "Ġp und", + "ĠR ac", + "Ġspr ings", + "Ġcon ve", + "Bus iness", + "F all", + "Ġqual ifications", + "Ġvers es", + "Ġnarc iss", + "ĠK oh", + "ĠW ow", + "ĠCharl ottesville", + "ed o", + "Ġinterrog ation", + "ĠW ool", + "36 5", + "B rian", + "Ġâľ ĵ", + "Ġalleg es", + "ond s", + "id ation", + "ĠJack ie", + "y u", + "Ġl akes", + "Ġworth while", + "Ġcryst als", + "ĠJud a", + "Ġcomp rehend", + "Ġfl ush", + "Ġabsor ption", + "ĠO C", + "Ġfright ened", + "ĠCh ocolate", + "Mart in", + "Ġbu ys", + "Ġbu cks", + "Ġapp ell", + "ĠChampions hips", + "Ġlist ener", + "ĠDef ensive", + "Ġc z", + "ud s", + "ĠM ate", + "Ġre play", + "Ġdecor ated", + "Ġs unk", + "ĠV IP", + "ĠAn k", + "Ġ19 5", + "aa aa", + "Nob ody", + "ĠMil k", + "ĠG ur", + "ĠM k", + "ĠS ara", + "Ġse ating", + "ĠW id", + "Tr ack", + "Ġemploy s", + "Ġgig antic", + "AP P", + "ãĤ §", + "in ventory", + "Ġtow el", + "at che", + "l asting", + "ĠT L", + "Ġlat ency", + "Ġkn e", + "B er", + "me aning", + "Ġup held", + "Ġplay ground", + "Ġm ant", + "S ide", + "Ġstere o", + "Ġnorth west", + "Ġexception ally", + "Ġr ays", + "Ġrec urring", + "D rive", + "Ġup right", + "Ġab duct", + "ĠMar athon", + "Ġgood bye", + "Ġal phabet", + "h p", + "Ġcourt room", + "ring ton", + "ot hing", + "T ag", + "Ġdiplom ats", + "Ġbar bar", + "ĠAqu a", + "18 3", + "33 33", + "Ġmat urity", + "Ġinst ability", + "ĠAp ache", + "Ġ= ==", + "Ġfast ing", + "ĠGr id", + "Mod Loader", + "Ġ15 2", + "A bs", + "ĠOper ating", + "ett i", + "Ġacqu aint", + "Don nell", + "ĠK em", + "ĠFor ge", + "Ġarm ored", + "M il", + "Ġphilos ophers", + "in vest", + "Pl ayers", + "â Ī", + "Ġmy riad", + "Ġcomr ades", + "R ot", + "Ġremember ing", + "Ġcorrespond s", + "Ġprogram mers", + "ĠLyn n", + "Ġo lig", + "Ġco herent", + "yn chron", + "ĠChem ical", + "Ġj ugg", + "p air", + "post s", + "E ye", + "ĠIn ner", + "Ġsem ester", + "ott est", + "ĠEmir ates", + "ric anes", + "or ously", + "m its", + "ĠW is", + "Ġd odge", + "l ocation", + "Ġf aded", + "Am azon", + "ĠPro ceed", + "ĠIN FO", + "j ournal", + "ĠTru ck", + "T en", + "Ġ2 17", + "Ġstat utes", + "m obile", + "ĠT ypes", + "Rec omm", + "b uster", + "pe x", + "Ġleg ends", + "Ġhead ache", + "f aced", + "ĠWi Fi", + "if ty", + "ĠH ER", + "Ġcirc uits", + "ER ROR", + "22 6", + "ol in", + "Ġcyl inder", + "osp ace", + "ik ers", + "P rem", + "Qu ant", + "Ġconflic ting", + "Ġslight est", + "Ġfor ged", + "ion age", + "Step hen", + "ĠK ub", + "ĠOpp ortun", + "ĠHe al", + "Ġbl o", + "Ġrul ers", + "Ġh uh", + "Ġsubmar ine", + "f y", + "ass er", + "Ġallow ance", + "ĠKas ich", + "ĠT as", + "ĠAustral ians", + "Forge ModLoader", + "ĠâĨ ij", + "ĠMat rix", + "am ins", + "Ġ12 00", + "ĠAc qu", + "23 6", + "D ocument", + "ĠBre aking", + "19 3", + "ĠSub st", + "ĠRoll er", + "ĠPro perties", + "ĠN I", + "t ier", + "Ġcr ushing", + "Ġadvoc ating", + "Further more", + "keep ers", + "Ġsex ism", + "x d", + "Ġcall er", + "ĠS ense", + "chie ve", + "ĠT F", + "Ġfuel ed", + "Ġreminis cent", + "Ġobs ess", + "ur st", + "Ġup hold", + "ĠF ans", + "het ics", + "Ġâ Ĺ", + "ĠB ath", + "Ġbe verage", + "Ġo scill", + "25 4", + "Ġpol es", + "Ġgrad ual", + "Ġex ting", + "ĠS uff", + "ĠS uddenly", + "Ġlik ing", + "Ġ19 49", + "un ciation", + "am ination", + "ĠO mar", + "ĠL V", + "ĠCon sequently", + "Ġsynt hes", + "ĠG IF", + "Ġp ains", + "Ġinteract ing", + "u ously", + "inc re", + "Ġrum or", + "ĠScient ology", + "19 7", + "ĠZ ig", + "Ġspe lling", + "ĠA SS", + "Ġexting u", + "ms on", + "Ġg h", + "Ġremark ed", + "ĠStrateg ic", + "ĠM ON", + "å ¥", + "g ae", + "ĠWH AT", + "E ric", + "ĠCamp us", + "Ġmeth ane", + "Ġimag in", + "J UST", + "ĠAl m", + "X T", + "i q", + "ĠR SS", + "Ġwrong doing", + "att a", + "Ġbig ot", + "Ġdemonstr ators", + "ĠCal vin", + "ĠV illa", + "Ġmembr ane", + "ĠAw esome", + "Ġbenef ic", + "26 8", + "Ġmagn ificent", + "ĠL ots", + "G reg", + "ĠBor is", + "Ġdetain ees", + "ĠH erman", + "Ġwhis pered", + "Ġa we", + "Prof essor", + "fund ing", + "Ġphys iological", + "ĠDest ruction", + "Ġlim b", + "Ġmanip ulated", + "Ġbub bles", + "Ġpse ud", + "Ġhyd ra", + "ĠBrist ol", + "Ġst ellar", + "ĠExp ansion", + "ĠK ell", + "ĠInterest ingly", + "Ġm ans", + "Ġdrag ging", + "Ġec ological", + "ĠF it", + "Ġg ent", + "Ġbenef ited", + "ĠHait i", + "Ġpoly g", + "ãĥ İ", + "Ġ20 30", + "Ġpro w", + "Ġrecon struction", + "Ġwas t", + "Ġpsych ic", + "ĠGree ks", + "Hand ler", + "16 2", + "ĠP ulse", + "Ġsol icit", + "Ġsy s", + "Ġinflu x", + "ĠG entle", + "per cent", + "Ġprolifer ation", + "Ġtax able", + "Ġdisreg ard", + "Ġesc aping", + "Ġg inger", + "Ġwith stand", + "Ġdevast ated", + "ĠD ew", + "ser ies", + "Ġinject ed", + "ela ide", + "Ġturn over", + "he at", + "Ļ Ĥ", + "H appy", + "ĠSil ent", + "ãĤ Ń", + "iv ism", + "Ġir rational", + "AM A", + "Ġre ef", + "r ub", + "Ġ16 2", + "Ġbank ers", + "ĠEth ics", + "v v", + "Ġcritic isms", + "K n", + "18 6", + "M ovie", + "ĠT ories", + "Ġno od", + "Ġdist ortion", + "F alse", + "od ore", + "Ġt asty", + "Res earch", + "ĠU ID", + "- )", + "Ġdivor ced", + "ĠM U", + "ĠHay es", + "ĠIs n", + "ian i", + "ĠH Q", + "Ġ\" #", + "ign ant", + "Ġtra umatic", + "ĠL ing", + "H un", + "Ġsab ot", + "on line", + "r andom", + "Ġren amed", + "ra red", + "K A", + "d ead", + "é t", + "ĠAss istance", + "Ġse af", + "++++ ++++", + "Ġse ldom", + "ĠWeb b", + "Ġbo olean", + "u let", + "Ġref rain", + "ĠDI Y", + "ru le", + "Ġshut ting", + "Ġutil izing", + "load ing", + "ĠPar am", + "co al", + "oot er", + "Ġattract ing", + "ĠD ol", + "Ġher s", + "ag netic", + "ĠRe ach", + "im o", + "Ġdisc arded", + "ĠP ip", + "01 5", + "ü r", + "Ġm ug", + "Im agine", + "C OL", + "Ġcurs ed", + "ĠSh ows", + "ĠCurt is", + "ĠSach s", + "spe aking", + "ĠV ista", + "ĠFram ework", + "ong o", + "Ġsub reddit", + "Ġcr us", + "ĠO val", + "R ow", + "g rowing", + "Ġinstall ment", + "Ġgl ac", + "ĠAdv ance", + "EC K", + "ĠLGBT Q", + "LE Y", + "Ġac et", + "Ġsuccess ive", + "ĠNic ole", + "Ġ19 57", + "Qu ote", + "Ġcircumst ance", + "ack ets", + "Ġ14 2", + "ort ium", + "Ġguess ed", + "ĠFr ame", + "Ġperpet rators", + "ĠAv iation", + "ĠBen ch", + "Ġhand c", + "A p", + "Ġ19 56", + "25 9", + "r and", + "Net Message", + "d in", + "urt les", + "h ig", + "ĠV III", + "ff iti", + "ĠSw ords", + "b ial", + "Ġkidn apping", + "dev ice", + "Ġb arn", + "ĠEl i", + "auc as", + "S end", + "Con structed", + "Ġ ½", + "Ġneed les", + "Ġad vertisements", + "Ġv ou", + "Ġexhib ited", + "ĠFort ress", + "As k", + "B erry", + "TY PE", + "Ġcan cers", + "ump ing", + "ĠTerrit ory", + "Ġpr ud", + "Ġn as", + "Ġathe ist", + "Ġbal ances", + "ãģ Ł", + "ĠSh awn", + "& &", + "Ġland sc", + "ĠR GB", + "Ġpet ty", + "Ġex cellence", + "Ġtransl ations", + "Ġpar cel", + "ĠChe v", + "E ast", + "ĠOut put", + "im i", + "Ġamb ient", + "ĠTh reat", + "Ġvill ains", + "Ġ5 50", + "IC A", + "Ġtall er", + "Ġle aking", + "c up", + "Ġpol ish", + "Ġinfect ious", + "ĠK C", + "Ġ@ @", + "back ground", + "Ġbureaucr acy", + "ĠS ai", + "un less", + "it ious", + "ĠSky pe", + "At l", + "ID ENT", + "00 8", + "Ġhyp ocr", + "Ġpit chers", + "Ġguess ing", + "ĠF INAL", + "Bet ween", + "Ġvill agers", + "Ġ25 2", + "f ashion", + "ĠTun is", + "Be h", + "ĠEx c", + "ĠM ID", + "28 8", + "ĠHas kell", + "19 6", + "ĠN OR", + "Ġspec s", + "Ġinv ari", + "Ġgl ut", + "ĠC ars", + "Ġimp ulse", + "Ġhon ors", + "g el", + "Ġjurisd ictions", + "ĠBund le", + "ul as", + "Calif ornia", + "ĠIncre ase", + "Ġp ear", + "Ġsing les", + "Ġc ues", + "Ġunder went", + "ĠW S", + "Ġexagger ated", + "Ġdub ious", + "Ġfl ashing", + "L OG", + ") ].", + "J ournal", + "t g", + "V an", + "ĠI stanbul", + "ĠIn sp", + "ĠFrank en", + "D raw", + "Ġsad ness", + "Ġiron ic", + "ĠF ry", + "x c", + "Ġ16 4", + "is ch", + "W ay", + "ĠProtest ant", + "h orn", + "Ġun aff", + "ĠV iv", + "ill as", + "ĠProduct ions", + "ĠH ogan", + "Ġper imeter", + "ĠS isters", + "Ġspont aneous", + "Ġdown side", + "Ġdescend ants", + "Ġor n", + "w orm", + "Japan ese", + "Ġ19 55", + "Ġ15 1", + "ĠDo ing", + "els en", + "umb les", + "Ġrad ically", + "ĠDr um", + "ĠB ach", + "Ġli abilities", + "ĠO B", + "ĠElement ary", + "Ġmem e", + "yn es", + "Ġfinger print", + "ĠGr ab", + "Ġundert ake", + "Mem bers", + "ĠRead er", + "ĠSim s", + "g od", + "Ġhypot hetical", + "s cient", + "ĠA J", + "Ġchar ism", + "Ġad missions", + "ĠMiss ile", + "tr ade", + "Ġexerc ising", + "ĠBack ground", + "W ritten", + "Ġvoc als", + "whe ther", + "Ġv i", + "ĠW inner", + "Ġl itter", + "ĠSh ooting", + "ST EM", + "ãĤ ¡", + "ĠA FL", + "Ġvari ability", + "Ġe ats", + "ĠD PS", + "b row", + "Ġeleph ants", + "Ġstr at", + "Ġ Å", + "Ġsett lers", + "Matt hew", + "Ġin advert", + "H I", + "ĠIM F", + "ĠGo al", + "Ġnerv es", + "John son", + "ey e", + "ablish ment", + "Th ursday", + "BIL ITY", + "H ad", + "am oto", + "het amine", + "ep s", + "Ġmit ochond", + "Ġcomp ressed", + "ĠTre vor", + "ĠAnim als", + "T ool", + "L ock", + "Ġtwe ak", + "Ġpin ch", + "Ġcancell ation", + "P ot", + "Ġfoc al", + "ĠAst ron", + "17 3", + "ĠA SC", + "ĠO THER", + "umn i", + "Ġdem ise", + "d l", + "Ù ħ", + "Sem itism", + "Ġcr acking", + "Ġcollabor ative", + "Ġexpl ores", + "s ql", + "Ġher bs", + "Ġconfig urations", + "m is", + "ĠRes ult", + "ace y", + "ĠSm oke", + "Ġsan ct", + "el ia", + "Ġdeg ener", + "Ġdeep est", + "Ġscream ed", + "Ġn ap", + "Soft ware", + "ĠST AR", + "E F", + "ĠX in", + "spons ored", + "mans hip", + "23 3", + "Ġprim aries", + "Ġfilter ing", + "Ġas semble", + "m il", + "ĠMy ers", + "b ows", + "Ġpun ched", + "M ic", + "Ġinnov ations", + "Ġfun c", + "and o", + "Ġfr acking", + "ĠV ul", + "о Ð", + "osh op", + "ĠIm mun", + "Ġsett ling", + "Ġadolesc ents", + "Ġreb uilding", + "Ġtransform ing", + "Ġpar ole", + "Ġhar bor", + "Ġbook ing", + "ot ional", + "onge vity", + "ĠY o", + "b ug", + "Ġemer ges", + "ĠMethod s", + "ĠCh u", + "P res", + "ĠDun geons", + "Ġtra iling", + "ĠR um", + "ĠH ugh", + "å¤ ©", + "ĠE ra", + "ĠBatt les", + "Res ults", + "ĠTr ading", + "Ġvers a", + "c ss", + "ax ies", + "he et", + "Ġgre ed", + "19 89", + "Ġgard ens", + "Ġconting ent", + "P ark", + "ĠLeaf s", + "h ook", + "ro be", + "Ġdiplom acy", + "ĠF uel", + "ĠInv asion", + "Ġupgr ading", + "M ale", + "Ġe lic", + "Ġrelent less", + "ĠCo venant", + "ap esh", + "ĠT rop", + "T y", + "pro duction", + "art y", + "Ġpun ches", + "ak o", + "cyclop edia", + "ĠR abbit", + "ĠHD MI", + "Ġ14 1", + "Ġf oil", + "Item Image", + "ĠF G", + "Ġimplement ations", + "ĠP om", + "ixt ures", + "Ġaw ait", + "Ġ3 30", + "am us", + "Ġumb rella", + "Ġfore see", + "se par", + "Ġcircum cision", + "Ġperipher al", + "S ay", + "ĠExper t", + "In c", + "Ġwithd rew", + "ĠAnd ers", + "f ried", + "Ġradio active", + "ĠOp ening", + "Ġboard ing", + "ĠN D", + "Ġover throw", + "Act iv", + "W P", + "ĠAct s", + "× Ļ", + "Ġmot ions", + "v ic", + "ĠM ighty", + "ĠDef ender", + "a er", + "Ġthank ful", + "ĠK illing", + "ĠBr is", + "mo il", + "Ġpredict ing", + "26 6", + "ch oice", + "Ġkill ers", + "Ġinc ub", + "ĠChe st", + "ather ing", + "Ġpro claimed", + "fl ower", + "oss om", + "umbled ore", + "ĠCy cling", + "ĠOccup y", + "AG ES", + "P en", + "ĠY ug", + "Ġpack aged", + "Ġheight ened", + "c ot", + "st ack", + "C ond", + "Ġst amps", + "m age", + "Ġpersu aded", + "Ġens l", + "ĠCard inal", + "Ġsol itary", + "Ġpossess ing", + "ĠC ork", + "Ġev id", + "ĠT ay", + "Ġbl ues", + "Ġextrem ism", + "Ġlun ar", + "Ġcl own", + "Te chn", + "Ġfest ivals", + "ĠPv P", + "ĠL ar", + "Ġconsequ ently", + "p resent", + "Ġsom eday", + "ç İĭ", + "ĠMet eor", + "Ġtour ing", + "c ulture", + "Ġbe aches", + "S hip", + "c ause", + "ĠFl ood", + "ãĥ ¯", + "Ġpur ity", + "th ose", + "Ġem ission", + "b olt", + "Ġch ord", + "ĠScript ure", + "L u", + "Ġ$ {", + "cre ated", + "Other s", + "25 8", + "Ġelement al", + "Ġannoy ed", + "ĠA E", + "d an", + "ĠS ag", + "Res earchers", + "Ġfair y", + "âĢĵ âĢĵ", + "======== ====", + "Sm art", + "GG GG", + "Ġskelet ons", + "Ġpup ils", + "link ed", + "Ġur gency", + "en abled", + "ĠF uck", + "Ġcoun cill", + "r ab", + "U AL", + "T I", + "Ġlif es", + "Ġconf essed", + "B ug", + "Ġharm on", + "ĠCON FIG", + "ĠNe utral", + "D ouble", + "Ġst aple", + "ĠSH A", + "Brit ish", + "ĠSN P", + "AT OR", + "oc o", + "Ġswing ing", + "ge x", + "ole on", + "pl ain", + "ĠMiss ing", + "ĠTro phy", + "v ari", + "ran ch", + "Ġ3 01", + "4 40", + "00000000 00000000", + "Ġrest oring", + "Ġha ul", + "uc ing", + "ner g", + "Ġfut ures", + "Ġstrateg ist", + "quest ion", + "Ġlater al", + "ĠB ard", + "Ġs or", + "ĠRhod es", + "ĠD owntown", + "????? -", + "ĠL it", + "ĠB ened", + "Ġco il", + "st reet", + "ĠPort al", + "FI LE", + "ĠG ru", + "* ,", + "23 1", + "ne um", + "Ġsuck ed", + "Ġr apper", + "Ġtend encies", + "ĠLaure n", + "cell aneous", + "26 7", + "Ġbrow se", + "Ġover c", + "head er", + "o ise", + "Ġbe et", + "ĠG le", + "St ay", + "Ġm um", + "Ġtyp ed", + "Ġdiscount s", + "T alk", + "ĠO g", + "ex isting", + "ĠS ell", + "u ph", + "C I", + "ĠAust rian", + "ĠW arm", + "Ġdismiss al", + "Ġaver ages", + "c amera", + "Ġalleg iance", + "L AN", + "=\" #", + "Ġcomment ators", + "ĠSet ting", + "ĠMid west", + "Ġpharm ac", + "ĠEX P", + "Ġstain less", + "Ch icago", + "Ġt an", + "24 4", + "Ġcountry side", + "ĠV ac", + "29 5", + "Ġpin ned", + "Ġcr ises", + "Ġstandard ized", + "T ask", + "ĠJ ail", + "ĠD ocker", + "col ored", + "f orth", + "\" },", + "Ġpat rons", + "Ġsp ice", + "Ġm ourn", + "ĠM ood", + "Ġlaund ry", + "Ġequ ip", + "ĠM ole", + "y ll", + "ĠTH C", + "n ation", + "ĠSher lock", + "Ġiss u", + "ĠK re", + "ĠAmeric as", + "ĠA AA", + "Ġsystem atically", + "Ġcont ra", + "ĠS ally", + "Ġrational e", + "Ġcar riage", + "Ġpe aks", + "Ġcontrad iction", + "ens ation", + "ĠFail ure", + "Ġpro ps", + "Ġnames pace", + "Ġc ove", + "field s", + "ãĤ ĭ", + "Ġw ool", + "ĠC atch", + "Ġpresum ed", + "ĠD iana", + "r agon", + "ig i", + "Ġh amm", + "Ġst unt", + "ĠG UI", + "ĠObserv atory", + "ĠSh ore", + "Ġsmell s", + "ann ah", + "Ġcock pit", + "ĠD uterte", + "8 50", + "Ġopp ressed", + "bre aker", + "ĠCont ribut", + "ĠPer u", + "ĠMons anto", + "ĠAtt empt", + "Ġcommand ing", + "Ġfr idge", + "ĠR in", + "ĠChe ss", + "ual ity", + "Ġo l", + "Republic an", + "ĠGl ory", + "ĠW IN", + ".... ...", + "ag ent", + "read ing", + "Ġin h", + "J ones", + "Ġcl icks", + "al an", + "Ġ[ ];", + "ĠMaj esty", + "ĠC ed", + "op us", + "ate l", + "à ª", + "AR C", + "ĠEc uador", + "ãĥ ł", + "ĠK uro", + "Ġritual s", + "Ġcapt ive", + "Ġoun ce", + "Ġdisag reement", + "Ġsl og", + "f uel", + "P et", + "M ail", + "Ġexerc ised", + "Ġsol ic", + "Ġrain fall", + "Ġdev otion", + "ĠAss essment", + "Ġrob otic", + "opt ions", + "ĠR P", + "ĠFam ilies", + "ĠFl ames", + "Ġassign ments", + "00 7", + "aked own", + "Ġvoc abulary", + "Re illy", + "Ġc aval", + "g ars", + "Ġsupp ressed", + "ĠS ET", + "ĠJohn s", + "Ġwar p", + "bro ken", + "Ġstat ues", + "Ġadvoc ated", + "Ġ2 75", + "Ġper il", + "om orph", + "ĠF emin", + "per fect", + "Ġh atch", + "L ib", + "5 12", + "Ġlif elong", + "3 13", + "Ġche eks", + "Ġnum bered", + "ĠM ug", + "B ody", + "ra vel", + "We ight", + "ĠJ ak", + "ĠHe ath", + "Ġkiss ing", + "ĠJ UST", + "Ġw aving", + "u pload", + "Ġins ider", + "ĠPro gressive", + "ĠFil ter", + "tt a", + "ĠBe am", + "Ġviol ently", + "ip ation", + "Ġskept icism", + "Ġ19 18", + "ĠAnn ie", + "ĠS I", + "Ġgen etics", + "Ġon board", + "at l", + "ĠFried man", + "ĠB ri", + "cept ive", + "Ġpir ate", + "ĠRep orter", + "27 8", + "Ġmyth ology", + "Ġe clipse", + "Ġsk ins", + "Ġgly ph", + "ing ham", + "F iles", + "C our", + "w omen", + "Ġreg imes", + "Ġphotograp hed", + "K at", + "ĠMA X", + "Offic ials", + "Ġunexpected ly", + "Ġimpress ions", + "F ront", + ";;;; ;;;;", + "Ġsuprem acy", + "Ġs ang", + "Ġaggrav ated", + "Ġabrupt ly", + "ĠS ector", + "Ġexc uses", + "Ġcost ing", + "ide press", + "St ack", + "ĠR NA", + "ob il", + "Ġghost s", + "ld on", + "at ibility", + "Top ics", + "Ġreim burse", + "ĠH M", + "ĠDe g", + "Ġth ief", + "y et", + "ogen esis", + "le aning", + "ĠK ol", + "ĠB asketball", + "Ġf i", + "ĠSee ing", + "Ġrecy cling", + "Ġ[ -", + "Cong ress", + "Ġlect ures", + "P sy", + "Ġne p", + "Ġm aid", + "Ġori ented", + "A X", + "Ġrespect ful", + "re ne", + "fl ush", + "ĠUn loaded", + "re quest", + "gr id", + "ĠAltern atively", + "ĠHug o", + "Ġdec ree", + "ĠBuddh ism", + "and um", + "And roid", + "ĠCong o", + "ĠJoy ce", + "Ġacknowled ging", + "hes ive", + "ĠTom orrow", + "ĠH iro", + "th ren", + "ĠM aced", + "Ġho ax", + "ĠIncre ased", + "ĠPr adesh", + "W ild", + "____ __", + "16 1", + "Ġa unt", + "Ġdistribut ing", + "ĠT ucker", + "ĠSS L", + "ĠW olves", + "B uilding", + "ou lt", + "ĠLu o", + "ĠY as", + "ĠSp ir", + "ĠSh ape", + "ĠCamb od", + "ĠIP v", + "Ġm l", + "Ġext rad", + "39 0", + "ĠPenn y", + "d ream", + "Ġstation ed", + "opt ional", + "ew orthy", + ". ", + "ĠWorks hop", + "ĠRet ail", + "ĠAv atar", + "6 25", + "N a", + "ĠV C", + "ĠSec ure", + "M Y", + "19 88", + "oss ip", + "Ġpro state", + "Ġund en", + "Ġg amer", + "ĠCont ents", + "ĠWar hammer", + "ĠSent inel", + "3 10", + "Ġse gregation", + "ĠF lex", + "ĠM AY", + "Ġdr ills", + "ĠDrug s", + "Islam ic", + "Ġsp ur", + "Ġca fe", + "Ġimag inary", + "Ġgu iding", + "Ġsw ings", + "ĠThe me", + "ob y", + "Ġn ud", + "Ġbe gging", + "Ġstr ongh", + "Ġreject ing", + "Ġpedest rians", + "ĠPro spect", + "R are", + "s le", + "Ġconcess ions", + "ĠConst itutional", + "Ġbe ams", + "Ġfib ers", + "p oon", + "Ġinstinct s", + "pro perty", + "ĠB IG", + "Sand ers", + "im ates", + "Ġco ating", + "Ġcorps es", + "ĠTR UE", + "check ed", + "Ġ16 6", + "A sh", + "ĠJ S", + "ĠF iction", + "Ġcommun al", + "Ġener getic", + "oooo oooo", + "Ġnow adays", + "IL D", + "ib o", + "ĠSU V", + "R en", + "Ġdwell ing", + "Sil ver", + "Ġt ally", + "ĠM oving", + "Ġcow ard", + "Ġgener als", + "Ġhorn s", + "Ġcirc ulated", + "Ġrob bed", + "ĠUn limited", + "Ġharass ed", + "Ġinhib it", + "Ġcomp oser", + "ĠSpot ify", + "Ġspread s", + "3 64", + "Ġsu icidal", + "Ġno ises", + "ĠSt ur", + "Ġs aga", + "ĠK ag", + "is o", + "Ġtheoret ically", + "M oney", + "Ġsimilar ity", + "Ġslic ed", + "ut ils", + "ing es", + "\" -", + "Ġan th", + "Ġimp ed", + "Mod ule", + "Through out", + "Ġmen us", + "comm ittee", + "and i", + "ob j", + "in av", + "f ired", + "ĠAb dullah", + "Ġund ead", + "Ġfont s", + "H old", + "EN G", + "Ġsustain ability", + "Ġfl ick", + "Ġr azor", + "ĠF est", + "ĠChar acters", + "Ġword ing", + "Ġpopul ist", + "Ġcritic izing", + "Ġm use", + "v ine", + "Ġcard board", + "Ġkind ly", + "Ġfr inge", + "ĠThe ft", + "icult ural", + "Ġgovern ors", + "Ġ ����", + "Ġ16 3", + "Ġtime out", + "ĠA uth", + "Child ren", + "A U", + "Ġred emption", + "ĠAl ger", + "Ġ19 14", + "Ġw aved", + "Ġastron auts", + "og rams", + "Ġsw amp", + "ĠFinn ish", + "Ġcand le", + "Ġton nes", + "ut m", + "Ġr ay", + "Ġsp un", + "Ġfear ful", + "art icles", + "Ġca us", + "or ically", + "ĠRequ ires", + "ĠG ol", + "Ġpop e", + "Ġinaug ural", + "Ġg le", + "AD A", + "ĠIS IL", + "ĠOff ensive", + "Ġwatch dog", + "Ġbal con", + "ent ity", + "ĠH oo", + "Ġgall on", + "AC C", + "Ġdoub ling", + "Ġimpl ication", + "ĠS ight", + "Ġdoct r", + "---- ---", + "Ġ\\ \\", + "Ġm alt", + "R oll", + "Ġâī ¥", + "Ġrec ap", + "add ing", + "u ces", + "ĠB end", + "fig ure", + "Ġtur key", + "Ġsoc ietal", + "ĠT ickets", + "Ġcommer cially", + "Ġsp icy", + "Ġ2 16", + "ĠR amp", + "Ġsuperior ity", + "à ¯", + "ĠTr acker", + "C arl", + "ĠC oy", + "ĠPatri ot", + "Ġconsult ed", + "Ġlist ings", + "Ġsle w", + "reens hot", + "ĠG one", + "Ġ[ ...]", + "30 9", + "Ġh ottest", + "Ø ±", + "Ġrock y", + "ĠD iaz", + "Ġmass age", + "Ġpar aly", + "Ġp ony", + "A z", + "Ġcart ridge", + "ĠN Z", + "Ġsn ack", + "ĠLam ar", + "ple ment", + "ĠLes lie", + "Ġm ater", + "Ġsn ipp", + "24 6", + "Ġjoint ly", + "ĠBris bane", + "ĠiP od", + "Ġpump ing", + "Ġgo at", + "ĠSh aron", + "eal ing", + "Ġcor on", + "Ġan omal", + "rah im", + "ĠConnect ion", + "Ġsculpt ure", + "Ġsched uling", + "ĠD addy", + "at hing", + "Ġeyeb rows", + "Ġcur ved", + "Ġsent iments", + "Ġdraft ing", + "D rop", + "( [", + "Ġnom inal", + "ĠLeaders hip", + "ĠG row", + "Ġ17 6", + "Ġconstruct ive", + "iv ation", + "Ġcorrupt ed", + "ger ald", + "ĠC ros", + "ĠChe ster", + "ĠL ap", + "ãģ ª", + "OT H", + "D ATA", + "Ġal mond", + "pro bably", + "I mp", + "Ġfe ast", + "ĠWar craft", + "F lor", + "Ġcheck point", + "Ġtrans cription", + "Ġ20 4", + "Ġtwe aks", + "Ġrel ieve", + "S cience", + "Ġperform er", + "Z one", + "Ġtur moil", + "ig ated", + "hib it", + "ĠC afe", + "the med", + "Ġflu or", + "ben ch", + "Ġde com", + "ĠU nt", + "ĠBar rett", + "ĠF acts", + "Ġt asting", + "ĠPTS D", + "ĠSe al", + "ĠJuda ism", + "ĠDynam ic", + "ĠC ors", + "V e", + "ĠM ing", + "ĠTrans form", + "v on", + "ĠDef enders", + "ĠTact ical", + "ĠV on", + "ĠUn ivers", + "Ġdist orted", + "ĠB reath", + "?' \"", + "Ġag on", + "ĠDead ly", + "Ġl an", + "ĠCy cle", + "orn ed", + "Ġrel iably", + "Ġgl or", + "ĠMon key", + "ãĥ ¡", + "Ġad ren", + "Ġmicrow ave", + "ĠAl ban", + "irc raft", + "dig it", + "sm art", + "ĠD read", + "¯¯¯¯¯¯¯¯ ¯¯¯¯¯¯¯¯", + "{ {", + "ĠRoc hester", + "Ġsimpl ified", + "Ġinf licted", + "Ġtake over", + "Ġyour selves", + "ad itional", + "Ġmus cular", + "K S", + "Ġing en", + "T ax", + "ĠFe ature", + "27 7", + "Ġcru c", + "Ġcr ate", + "Ġun identified", + "Ġacclaim ed", + "ĠM anga", + "ĠFr ances", + "ĠNep al", + "ĠG erald", + "ĠKu wait", + "Ġsl ain", + "ĠHe b", + "ĠG oku", + "ãģ® æ", + "28 6", + "M rs", + "ĠC ody", + "ĠSan ctuary", + "01 6", + "Ġdism ant", + "Ġdatas et", + "ĠH ond", + "b uck", + "ĠPat terson", + "Ġpal ette", + "ĠG D", + "ic ol", + "ĠL odge", + "Ġplanet ary", + "ak in", + "ĠRegist ered", + "ab we", + "ĠPeters burg", + "Ġha iled", + "ĠP iece", + "S che", + "ĠDO J", + "Ġen umer", + "18 1", + "ĠObs erver", + "ĠB old", + "f ounded", + "com merce", + "Ġexplo its", + "ĠF inding", + "UR N", + "ĠS ne", + "ĠAc id", + "ay ette", + "ĠVal ues", + "Ġdr astic", + "Ġarchitect ural", + "Ġ\" .", + "× ķ", + "ump ed", + "Ġwra pping", + "Ġwid ow", + "ĠSl ayer", + "l ace", + "on ce", + "German y", + "av oid", + "Ġtem ples", + "P AR", + "à ´", + "ĠLuc ifer", + "ĠFl ickr", + "l ov", + "for ces", + "Ġsc outing", + "Ġlou der", + "tes y", + "Ġbefore hand", + "Ä ĵ", + "ĠNe on", + "ĠW ol", + "ĠTyp ically", + "ĠPolit ico", + "-+ -+", + "Ġbuild er", + "Ġder ive", + "K ill", + "Ġp oker", + "Ġambig uous", + "Ġlif ts", + "Ġcy t", + "Ġrib s", + "ood le", + "ĠS ounds", + "h air", + "ĠSynd rome", + "t f", + "Ġproport ional", + "u id", + "Ġper taining", + "ĠKind le", + "ĠNeg ro", + "Ġreiter ated", + "ĠTon ight", + "oth s", + "ĠCorn ell", + "Ġo wing", + "Ġ20 8", + "elf are", + "oc ating", + "ĠB irds", + "Sub scribe", + "Ġess ays", + "Ġburd ens", + "Ġillust rations", + "ar ious", + "ER AL", + "ĠCal cul", + "Ġx en", + "ĠLink edIn", + "ĠJ ung", + "Ġredes ign", + "Con nor", + "29 6", + "Ġrevers al", + "ĠAd elaide", + "ĠL L", + "Ġs inking", + "Ġg um", + "US H", + "c apt", + "ĠGr imm", + "Ġfoot steps", + "ĠCB D", + "isp ers", + "Ġpro se", + "Wed nesday", + "ĠM ovies", + "ed in", + "Ġoverturn ed", + "Ġcontent ious", + "US B", + "~~~~~~~~ ~~~~~~~~", + "ĠCo pper", + "Ġpoint less", + "N V", + "val ues", + "olph in", + "d ain", + "Ġdepos ited", + "ĠG W", + "Ġpreced ed", + "ĠCl a", + "ĠGo lem", + "ĠN im", + "ĠÎ ²", + "ĠEngine ers", + "m iddle", + "Ġfl att", + "oper ative", + "Ġcouncil s", + "imb abwe", + "el in", + "Ġstress ful", + "ĠL D", + "Ġres h", + "l ake", + "Ġwheel chair", + "ĠAltern ative", + "Ġoptim ize", + "oper ation", + "Ġpe ek", + "Ġones elf", + "ig il", + "Ġtrans itions", + "op athy", + "bl ank", + "Ġ16 9", + "17 1", + "________________________________ ________________________________", + "Ġl aundering", + "En c", + "ĠD EC", + "Ġwork outs", + "Ġsp ikes", + "Ġdin osaurs", + "Ġdiscrim inatory", + "P ool", + "R ather", + "38 5", + "R NA", + "tes ters", + "et o", + "ĠIdent ity", + "Ġve in", + "ĠBur ton", + "Ġarc ade", + "4 20", + "Ult imately", + "ĠSad ly", + "à °", + "p ill", + "Ġcub ic", + "ĠSpect rum", + "the se", + "st ates", + "Ġun official", + "h awks", + "ĠEVER Y", + "Ġrain bow", + "Ġincarcer ation", + "and ing", + "Ġsy ll", + "ĠEver ton", + "Ġ17 9", + "ĠSer bia", + "Ġ18 9", + "m eter", + "ĠMic key", + "Ġant iqu", + "Ġfact ual", + "ne ck", + "ĠN are", + "n orm", + "m ust", + "Ġhigh ways", + "Ġgl am", + "Ġdivid ing", + "ĠSquad ron", + "ĠMar tha", + "Ġbirth s", + "C over", + "//////// ////////", + "ĠW ong", + "Ph ot", + "ĠA LS", + "ri o", + "ĠNon etheless", + "ĠL emon", + "Ġ20 6", + "ĠE E", + "Ġderiv ative", + "ĠWW II", + "v ote", + "Ġthere in", + "Ġsepar ating", + "44 6", + "sy nc", + "ĠStre ets", + "Ġr att", + "Ġmunicip ality", + "ĠShort ly", + "Ġmon k", + ") ,\"", + "Ġscr ub", + "Ġoper atives", + "Ne ither", + "Pl ace", + "ĠLim it", + "F emale", + "ĠAct or", + "Char acter", + "Ġconstit uted", + "35 7", + "Ġprotest ed", + "ĠSt raw", + "ĠHe ight", + "ild a", + "ĠTy ph", + "Ġflood s", + "Ġcos metic", + "W AY", + "pert ure", + "up on", + "t ons", + "ess ing", + "ĠP ocket", + "Ġro oft", + "ĠC aucas", + "Ġant idepress", + "Ġincomp atible", + "EC D", + "Ġoper a", + "ĠCont est", + "Ġgener ators", + "l ime", + "Def ense", + "19 87", + "for um", + "Ġsav age", + "ĠHung arian", + "n z", + "Ġmet allic", + "Ġex pelled", + "Ġres idency", + "Ġdress es", + "66 6", + "ĠC lement", + "f ires", + "C ategory", + "Ġge ek", + "al is", + "Ġc emetery", + "educ ated", + "Ġc rawl", + "ĠUn able", + "ĠT yson", + "ak is", + "Ġp ardon", + "ĠW ra", + "Ġstrengthen ed", + "ĠF ors", + "33 5", + "ĠH C", + "ĠM ond", + "Ġvisual s", + "ĠBeat les", + "ett lement", + "Ġ ï", + "g ro", + "Ġb ash", + "Ġpo orest", + "Ġex cel", + "Ġaspir ations", + "ĠM unicip", + "ens ible", + "Ġceremon ies", + "Ġintimid ation", + "ĠCON TR", + "be ck", + "ĠK ap", + "as u", + "Ġtradem arks", + "ĠS ew", + "ĠComp etition", + "net work", + "ĠAr ri", + "ĠT et", + "Ro aming", + "W C", + "D at", + "Ġso b", + "Ġpair ing", + "Ġoverd ose", + "SA Y", + "ab er", + "Ġrev olt", + "ĠF ah", + "act ing", + "e q", + "est ation", + "F ight", + "ĠMar ks", + "27 3", + "Ġ17 8", + "R aw", + "ãģ ĭ", + "34 9", + "bl ocks", + "Ġver ge", + "est ine", + "ĠPod esta", + "Ġinv asive", + "Ġprofound ly", + "ĠA o", + "e ach", + "Ġl est", + "inter pret", + "Ġshr inking", + "Ġerr one", + "Ġche es", + "ly s", + "ĠI vy", + "ĠDirect ory", + "Ġhint ed", + "V ICE", + "Ġcontact ing", + "ĠG ent", + "he i", + "Ġlabel ing", + "Ġmerc ury", + "ĠL ite", + "Ġexp ires", + "Ġdest abil", + "rit is", + "c u", + "Ġfeather s", + "Ġste er", + "Ġprogram med", + "ĠV ader", + "Go ing", + "ĠE lim", + "Ġy o", + "ĠMic he", + "Ġ20 3", + "Ġslee ves", + "Ġb ully", + "ĠHum ans", + "36 8", + "Ġcomp ress", + "ĠBan ner", + "AR S", + "Ġa while", + "Ġcal ib", + "Ġspons orship", + "ĠDiff iculty", + "ĠP apers", + "Ġident ifier", + "} .", + "Ġy og", + "ĠSh ia", + "Ġclean up", + "Ġvib e", + "int rodu", + "im ming", + "Austral ia", + "Ġout lines", + "ĠY outube", + "tr ain", + "ĠM akes", + "Ġde ported", + "Ġcent r", + "ĠD ug", + "ĠB oulder", + "ĠBuff y", + "Ġinj unction", + "ĠHar ley", + "ĠG roups", + "ĠD umbledore", + "ĠCl ara", + "Ġ\" -", + "Ġsacrific ed", + "ep h", + "Sh adow", + "ib ling", + "Ġfreel ance", + "Ġevident ly", + "ph al", + "Ġret ains", + "M ir", + "Ġfin ite", + "d ar", + "ĠC ous", + "Ġrep aired", + "Ġperiod ic", + "Ġchampions hips", + "Ġaster oid", + "bl ind", + "Ġexpress ly", + "ĠAst ros", + "Ġsc aled", + "Ġge ographical", + "ĠRap ids", + "En joy", + "Ġel astic", + "ĠMoh amed", + "Mark et", + "be gin", + "Ġdisco vers", + "Ġtele communications", + "Ġscan ner", + "Ġen large", + "Ġsh arks", + "Ġpsy chedel", + "ĠRou ge", + "Ġsnap shot", + "is ine", + "X P", + "Ġpestic ides", + "ĠL SD", + "ĠDist ribution", + "re ally", + "Ġde gradation", + "Ġdisgu ise", + "Ġbi om", + "ĠEX T", + "Ġequ ations", + "Ġhaz ards", + "ĠComp ared", + ") *", + "Ġvirt ues", + "Ġeld ers", + "Ġenh ancing", + "ĠAc ross", + "er os", + "ang ling", + "Ġcomb ust", + "ucc i", + "Ġconc ussion", + "Ġcontrace ption", + "ĠK ang", + "Ġexpress es", + "Ġa ux", + "ĠP ione", + "Ġexhib its", + "Deb ug", + "OT AL", + "ĠAl ready", + "ĠWheel er", + "Ġexp ands", + "? :", + "Ġreconc iliation", + "Ġpir ates", + "Ġpur se", + "Ġdiscour age", + "Ġspect acle", + "R ank", + "Ġwra ps", + "ĠTh ought", + "Ġimp ending", + "O pp", + "ĠAng lo", + "ĠE UR", + "Ġscrew ed", + "ret ched", + "Ġencour agement", + "mod els", + "Ġconf use", + "mm m", + "ĠVit amin", + "âĸij âĸij", + "C ru", + "Ġkn ights", + "Ġdisc ard", + "Ġb ishops", + "ĠW ear", + "ĠGar rett", + "k an", + "ãĥ Ł", + "Ġmascul ine", + "cap ital", + "ĠA us", + "Ġfat ally", + "th anks", + "ĠA U", + "ĠG ut", + "12 00", + "Ġ 00000000", + "Ġsur rog", + "ĠBI OS", + "ra its", + "ĠWat ts", + "Ġresur rection", + "ĠElect oral", + "ĠT ips", + "4 000", + "Ġnut rient", + "Ġdepict ing", + "Ġspr ink", + "Ġm uff", + "ĠL IM", + "ĠS ample", + "ps c", + "ib i", + "gener ated", + "Ġspec imens", + "Ġdiss atisf", + "Ġtail ored", + "Ġhold ings", + "ĠMonth ly", + "ĠE at", + "po ons", + "Ġne c", + "ĠC age", + "ĠLot us", + "ĠLan tern", + "Ġfront ier", + "Ġp ensions", + "Ġj oked", + "ĠHard y", + "=-=- =-=-", + "r ade", + "U ID", + "Ġr ails", + "Ġem it", + "Ġsl ate", + "Ġsm ug", + "Ġsp it", + "ĠCall s", + "ĠJac obs", + "f eat", + "ĠU E", + "Ġrest ruct", + "Ġregener ation", + "Ġenerg ies", + "ĠCon nor", + "OH N", + "ĠChe ese", + "Ġg er", + "Ġresur rect", + "man agement", + "N W", + "Ġpres ently", + "ĠBru ins", + "M ember", + "ĠM ang", + "id an", + "Ġboost ing", + "w yn", + "+ .", + "requ isite", + "ĠNY PD", + "ĠMe gan", + "ĠCond itions", + "Ġp ics", + "nes ium", + "ĠR ash", + "Ġ17 4", + "ĠD ucks", + "Ġemb ro", + "z u", + "on ian", + "rel igious", + "Ġc raz", + "ĠAC A", + "ĠZ ucker", + "EM A", + "ĠPro s", + "We apon", + "ĠKn ox", + "ĠAr duino", + "Ġst ove", + "Ġheaven s", + "ĠP urchase", + "Ġher d", + "Ġfundra iser", + "Dig ital", + "5 000", + "Ġprop onents", + "/ âĢĭ", + "Ġj elly", + "ĠVis a", + "Ġmon ks", + "Ġadvance ment", + "ĠW er", + "Ġ18 7", + "e us", + "ert ility", + "Ġfet al", + "Ġ19 36", + "L o", + "Ġout fits", + "Ġstair case", + "b omb", + "Ġcustom ized", + "cl air", + "T ree", + "Ġm apped", + "ĠConsider ing", + "ĠTor res", + "Ġmeth yl", + "Ġapprox imate", + "Ġdo om", + "ĠHans en", + "Ġc rossover", + "Ġstand alone", + "ä ¼", + "Ġinv ites", + "Ġgra veyard", + "Ġh p", + "Donald Trump", + "Ġesc ort", + "G ar", + "Ġpredec essors", + "Ġh ay", + "Ġen zyme", + "ĠStra ight", + "vis ors", + "I ng", + "ane ously", + "ĠApp lied", + "Ġf ec", + "ĠDur ant", + "Ġout spoken", + "or b", + "Ġz eal", + "Ġdisgr ace", + "' ).", + "ĠChe ng", + "28 9", + "ĠRen a", + "ĠSu icide", + "29 4", + "Ġout raged", + "ĠNew man", + "ĠN vidia", + "ĠA ber", + "ĠB ers", + "Ġrecre ation", + "Wind ow", + "ĠD P", + "x e", + "Ġped oph", + "Ġfall out", + "ambo o", + "Ġpresent ations", + "ĠApp s", + "Ġh tml", + "3 45", + "ĠX XX", + "Ġrub bing", + "ĠLe ather", + "Ġhum idity", + "se ys", + "est ablished", + "ĠUn its", + "64 6", + "Ġrespect able", + "A uto", + "Ġthri ving", + "ĠInn ovation", + "ang s", + "Ext ra", + "reg ulation", + "29 8", + "p ick", + "Ex amples", + "ĠC J", + "Att ack", + "Ġdr acon", + "L T", + "Ġstick er", + "re rs", + "Ġsun ny", + "I ss", + "reg ulated", + "d im", + "ĠAb stract", + "Ġhus bands", + "Off ice", + "om ination", + "it ars", + "AN GE", + "asc al", + "ĠK ris", + "ĠInf antry", + "Ġm alf", + "ĠA the", + "ĠR ally", + "bal anced", + "................ ........", + "OU P", + "Ġmole cule", + "met ics", + "ĠSpl it", + "ĠInstruct ions", + "ĠN ights", + "c ards", + "Ġt ug", + "Ġcon e", + "å Ń", + "Ġt x", + "ĠDisc ussion", + "Ġcatast rophe", + "pp e", + "g io", + "Ġcommun ism", + "Ġhal ted", + "ĠGu ant", + "cle an", + "ĠSc hed", + "ĠK anye", + "Ġw ander", + "ĠSer iously", + "Ġ18 8", + "enn ial", + "f ollow", + "product ive", + "ĠFl ow", + "ĠS ail", + "Ġc raw", + "Ġsim ulations", + "or u", + "ang les", + "ĠN olan", + "Ġmen stru", + "4 70", + "Ġ20 7", + "aj a", + "Ġcas ually", + "board ing", + "Ġ2 22", + "ov y", + "ĠN umbers", + "um at", + "O E", + "28 7", + "ĠCle mson", + "Ġcert s", + "Ġsl id", + "ĠT ribe", + "Ġto ast", + "Ġfort unes", + "Ġf als", + "ĠComm ittees", + "Ġg p", + "Ġf iery", + "ĠN ets", + "ĠAn ime", + "Pack age", + "ĠComp are", + "l aughter", + "in fect", + "Ġatroc ities", + "Ġjust ices", + "Ġins ults", + "ĠVern on", + "Ġsh aken", + "Ġperson a", + "est amp", + "36 7", + "br ain", + "Ġexperiment ing", + "K en", + "ĠElect ronics", + "Ġ16 1", + "dom ain", + "Ġgraph ical", + "b ishop", + "Ġwho pping", + "ĠEv angel", + "Ġadvertis ers", + "ĠSpe ar", + "Ġb ids", + "Ġdestro ys", + "ut z", + "Ġunders c", + "ĠAD D", + "Ġan ts", + "ĠC um", + "ipp les", + "ĠF ill", + "Ġgl anced", + "Ġind icted", + "ĠE ff", + "Ġmis con", + "ĠDes ktop", + "Ġab ide", + "ãĥ Ģ", + "ĠI o", + "ĠC oul", + "Ġcaps ule", + "ĠCh rys", + "M ON", + "Ġund es", + "ĠI RA", + "Ġc itation", + "Ġdict ate", + "ĠNet works", + "ĠConf lict", + "ĠSt uff", + "x a", + "is ec", + "ĠChem istry", + "Ġquarter ly", + "William s", + "an an", + "O pt", + "ĠAlexand ria", + "out heastern", + "ĠSpring field", + "ĠBlack s", + "Ġge ography", + "24 2", + "Ġut most", + "ĠEx xon", + "ab outs", + "E VA", + "ĠEn able", + "ĠBar r", + "Ġdisag reed", + "ĠCy prus", + "Ġdement ia", + "Ġlab s", + "Ġubiqu itous", + "ĠLO VE", + "Ġconsolid ated", + "s r", + "Ġcream y", + "ĠTim ber", + "Reg ardless", + "ĠCert ificate", + "Ġ\" ...", + "ogen ous", + "Capt ain", + "Ġinsult ing", + "ĠSor os", + "ĠInst r", + "ĠBulgar ia", + "bet ter", + "Ġsuck ing", + "ĠDavid son", + "at z", + "Ġcoll ateral", + "g if", + "Ġplag ued", + "ĠC ancel", + "ĠGard ner", + "R B", + "Ġsix teen", + "Rem ove", + "ur istic", + "c ook", + "R od", + "Ġcompr ising", + "f le", + ") âĢĶ", + "ĠVik ing", + "g rowth", + "agon al", + "Ġsr f", + "af ety", + "m ot", + "N early", + "st own", + "ĠF actor", + "Ġautom obile", + "Ġproced ural", + "m ask", + "amp ires", + "Ġdisapp ears", + "j ab", + "3 15", + "Ġ19 51", + "ne eded", + "Ġd aring", + "le ader", + "Ġp odium", + "Ġun healthy", + "Ġm und", + "Ġpy ramid", + "oc re", + "Ġkiss ed", + "Ġdream ed", + "ĠFant astic", + "ĠG ly", + "å Ĭ", + "Ġgreat ness", + "Ġsp ices", + "Ġmet ropolitan", + "Ġcomp uls", + "i ets", + "101 6", + "ĠSh am", + "ĠP yr", + "fl ies", + "ĠMid night", + "Ġswall owed", + "Ġgen res", + "ĠL ucky", + "ĠRew ards", + "Ġdisp atch", + "ĠI PA", + "ĠApp ly", + "Ġa ven", + "al ities", + "3 12", + "th ings", + "Ġ( ).", + "Ġm ates", + "ĠS z", + "ĠC OP", + "ol ate", + "O FF", + "Ġre charge", + "c aps", + "ĠYork er", + "ic one", + "Ġgal axies", + "ile aks", + "D ave", + "ĠP uzz", + "ĠCelt ic", + "ĠA FC", + "27 6", + "ĠS ons", + "Ġaffirm ative", + "H or", + "Ġtutorial s", + "ĠC ITY", + "ĠR osa", + "ĠExt ension", + "Ser ies", + "Ġf ats", + "Ġr ab", + "l is", + "Ġun ic", + "Ġe ve", + "ĠSp in", + "Ġadul thood", + "ty p", + "Ġsect arian", + "Ġcheck out", + "ĠCy cl", + "S ingle", + "Ġmart yr", + "Ġch illing", + "88 8", + "ou fl", + "Ġ] ;", + "Ġcongest ion", + "m k", + "ĠWhere as", + "Ġ19 38", + "ur rencies", + "er ion", + "Ġbo ast", + "ĠPat ients", + "Ġch ap", + "ĠB D", + "real DonaldTrump", + "Ġexam ines", + "h ov", + "Ġstart ling", + "ĠBab ylon", + "w id", + "om ew", + "br ance", + "ĠOd yssey", + "w ig", + "Ġtor ch", + "ĠV ox", + "ĠMo z", + "ĠT roll", + "ĠAn s", + "Similar ly", + "ĠF ul", + "00 6", + "Un less", + "ĠAl one", + "st ead", + "ĠPub lisher", + "r ights", + "t u", + "ĠDoes n", + "Ġprofession ally", + "Ġcl o", + "ic z", + "Ġste als", + "Ġ á", + "19 86", + "Ġst urdy", + "ĠJoh ann", + "Ġmed als", + "Ġfil ings", + "ĠFr aser", + "d one", + "Ġmult inational", + "Ġf eder", + "Ġworth less", + "Ġp est", + "Yes terday", + "ank ind", + "Ġg ays", + "Ġb orne", + "ĠP OS", + "Pict ure", + "Ġpercent ages", + "25 1", + "r ame", + "Ġpot ions", + "AM D", + "ĠLeban ese", + "Ġr ang", + "ĠL SU", + "ong s", + "Ġpen insula", + "ĠCl ause", + "AL K", + "oh a", + "ĠMac Book", + "Ġunanim ous", + "Ġl enders", + "Ġhang s", + "Ġfranch ises", + "ore rs", + "ĠUp dates", + "Ġisol ate", + "and ro", + "S oon", + "Ġdisrupt ive", + "ĠSur ve", + "Ġst itches", + "ĠSc orp", + "ĠDomin ion", + "Ġsupp lying", + "Ar g", + "Ġtur ret", + "ĠL uk", + "Ġbr ackets", + "* )", + "ĠRevolution ary", + "ĠHon est", + "Ġnot icing", + "ĠSh annon", + "Ġafford ed", + "Ġth a", + "ĠJan et", + "! --", + "ĠNare ndra", + "ĠPl ot", + "H ol", + "se ver", + "e enth", + "Ġobst ruction", + "Ġ10 24", + "st aff", + "j as", + "or get", + "sc enes", + "l aughs", + "ĠF argo", + "cr ime", + "Ġorche str", + "Ġde let", + "ili ary", + "rie ved", + "Ġmilit ar", + "ĠGreen e", + "âĹ ı", + "ãģ ¦", + "ĠGu ards", + "Ġunle ashed", + "ĠWe ber", + "Ġadjust able", + "Ġcal iber", + "Ġmotiv ations", + "Ġà ł", + "m Ah", + "ĠL anka", + "hand le", + "Ġp ent", + "ĠR av", + "ĠAng ular", + "ĠK au", + "umb ing", + "Ġphil anthrop", + "Ġde hyd", + "Ġtox icity", + "e er", + "ĠY ORK", + "w itz", + "å ¼", + "ĠI E", + "commun ity", + "ĠA H", + "Ġret ali", + "Ġmass ively", + "ĠDani els", + "ĠD EL", + "Ġcar cin", + "Ur l", + "Ġrout ing", + "ĠNPC s", + "ĠR AF", + "ry ce", + "Ġwa ived", + "ĠGu atem", + "Every body", + "Ġco venant", + "Ġ17 3", + "Ġrelax ing", + "Ġqu art", + "al most", + "Ġguard ed", + "ĠSold iers", + "ĠPL AY", + "Ġout going", + "L AND", + "Ġre write", + "ĠM OV", + "ĠIm per", + "ĠS olution", + "Ġphenomen al", + "Ġl ongevity", + "Ġimp at", + "ĠN issan", + "ir ie", + "Ġod or", + "ĠZ ar", + "ok s", + "Ġmilit ias", + "ĠSP EC", + "Ġtoler ated", + "ars er", + "ĠBrad ford", + "+ ,", + "Ġsur real", + "s f", + "Can adian", + "Ġresemb lance", + "Ġcarbohyd rate", + "VI EW", + "Ġaccess ory", + "me al", + "larg est", + "ieg el", + "Some one", + "Ġtoug hest", + "os o", + "Ġfun nel", + "Ġcondemn ation", + "lu ent", + "Ġw ired", + "ĠSun set", + "Jes us", + "ĠP ST", + "ĠP ages", + "ĠTy coon", + "ĠP F", + "Ġselect ions", + "Ġ à¤", + "part isan", + "Ġhigh s", + "ĠR une", + "Ġcraft s", + "le ad", + "ĠParent s", + "Ġre claim", + "ek er", + "ĠAll ied", + "ae per", + "Ġlo oming", + "Ġbenefic iaries", + "ĠH ull", + "Stud ents", + "Jew ish", + "d j", + "Ġp act", + "tem plate", + "ĠOffic ials", + "ĠBay lor", + "Ġhe mp", + "Ġyouth s", + "ĠLevel s", + "ĠX iao", + "ĠC hes", + "Ġende avor", + "ĠRem oved", + "Ġhipp ocamp", + "H ell", + "ãĤ Ĭ", + "80 5", + "Ġd inosaur", + "ĠWr ath", + "ĠIndones ian", + "Ġcalcul ator", + "ĠD ictionary", + "Ġ4 20", + "ĠM AG", + "( _", + "! ,", + "t arians", + "Ġrestrict ing", + "rac use", + "Ġweek day", + "OU NT", + "Ġsh rugged", + "leg round", + "Ġb ald", + "ĠDo ctors", + "Ġt outed", + "ĠMax well", + "Ġ2 14", + "Ġdiplom at", + "Ġrep ression", + "Ġconstitu ency", + "v ice", + "r anked", + "ĠNap oleon", + "g ang", + "ĠFore ver", + "t un", + "Ġbul b", + "ĠPD T", + "ĠC isco", + "V EN", + "Ġres umed", + "Ste ven", + "ĠManit oba", + "Ġfab ulous", + "ĠAg ents", + "19 84", + "Ġam using", + "ĠMyster ies", + "Ġor thodox", + "fl oor", + "Ġquestion naire", + "Ġpenet rate", + "Ġfilm makers", + "ĠUn c", + "Ġst amped", + "Ġth irteen", + "Ġout field", + "Ġforward ed", + "Ġapp ra", + "Ġa ided", + "t ry", + "Ġunf ocused", + "ĠL iz", + "ĠWend y", + "ĠSc ene", + "Ch arg", + "Ġreject s", + "Ġleft ist", + "ĠProv idence", + "ĠBr id", + "reg n", + "Ġprophe cy", + "ĠL IVE", + "4 99", + "Ġfor ge", + "ĠF ML", + "Ġintrins ic", + "ĠF rog", + "Ġw ont", + "ĠH olt", + "Ġfam ed", + "CL US", + "aeper nick", + "ĠH ate", + "ĠC ay", + "Ġregister ing", + "ort ality", + "rop y", + "ocaly ptic", + "a an", + "n av", + "Ġfasc ist", + "IF IED", + "Ġimpl icated", + "ĠRes ort", + "ĠChand ler", + "ĠBr ick", + "P in", + "ys c", + "Us age", + "ĠHel m", + "us ra", + "âĺħ âĺħ", + "ĠAb bas", + "Ġunanim ously", + "Ġke eper", + "Ġadd icted", + "?? ?", + "Ġhelm ets", + "Ġant ioxid", + "aps ed", + "80 8", + "gi ene", + "Ġwa its", + "Ġmin ion", + "ra ved", + "ĠP orsche", + "Ġdream ing", + "Ġ17 1", + "ĠC ain", + "Ġun for", + "ass o", + "ĠConfig uration", + "k un", + "hard t", + "Ġn ested", + "ĠL DS", + "L ES", + "Ġt ying", + "en os", + "Ġc ue", + "ĠMar qu", + "sk irts", + "Ġclick ed", + "Ġexp iration", + "ĠAccording ly", + "ĠW C", + "Ġbless ings", + "Ġaddict ive", + "ĠN arr", + "y x", + "ĠJagu ars", + "Ġrent s", + "ĠS iber", + "Ġt ipped", + "ous se", + "ĠFitz gerald", + "Ġhier arch", + "out ine", + "Ġwa velength", + "> .", + "ch id", + "ĠProcess ing", + "/ +", + "r anking", + "E asy", + "ĠConst ruct", + "Ġt et", + "ins ured", + "H UD", + "Ġqu oting", + "Ġcommun icated", + "in x", + "Ġin mate", + "Ġerect ed", + "ĠAbs olutely", + "ĠSure ly", + "Ġun im", + "ĠThr one", + "he id", + "Ġcl aws", + "Ġsuper star", + "ĠL enn", + "ĠWh is", + "U k", + "ab ol", + "Ġsk et", + "ĠN iet", + "Ġper ks", + "Ġaff inity", + "Ġopen ings", + "phas is", + "Ġdiscrim inate", + "T ip", + "v c", + "Ġgr inding", + "ĠJenn y", + "Ġast hma", + "hol es", + "ĠHom er", + "Ġreg isters", + "ĠGl ad", + "Ġcre ations", + "Ġlith ium", + "Ġappl ause", + "unt il", + "Just ice", + "ĠTur ks", + "Ġsc andals", + "Ġb ake", + "t ank", + "M ech", + "ĠMe ans", + "ĠM aid", + "Republic ans", + "is al", + "wind ows", + "ĠSant os", + "Ġveget ation", + "33 8", + "t ri", + "Ġfl ux", + "ins ert", + "Ġclar ified", + "Ġmort g", + "ĠCh im", + "ĠT ort", + "Ġdiscl aim", + "met al", + "ĠAs ide", + "Ġindu ction", + "Ġinf l", + "Ġathe ists", + "amp h", + "Ġe ther", + "ĠV ital", + "ĠBu ilt", + "M ind", + "Ġweapon ry", + "S ET", + "Ġ18 6", + "ad min", + "g am", + "cont ract", + "af a", + "Ġderiv atives", + "Ġsn acks", + "Ġch urn", + "E conom", + "Ġca pped", + "ĠUnder standing", + "ĠH ers", + "ĠI z", + "Ġd uct", + "I ENT", + "augh ty", + "Ġâľ Ķ", + "ĠN P", + "Ġsa iling", + "In itialized", + "Ġt ed", + "Ġreact ors", + "ĠL omb", + "Ġcho ke", + "ĠW orm", + "Ġadm iration", + "Ġsw ung", + "ens ibly", + "Ġr ash", + "ĠGo als", + "ĠImport ant", + "Sh ot", + "ĠR as", + "Ġtrain ers", + "ĠB un", + "Work ing", + "Ġhar med", + "ĠPand ora", + "ĠL TE", + "Ġmush room", + "ĠCH AR", + "ĠF ee", + "ĠM oy", + "B orn", + "ol iberal", + "ĠMart ial", + "Ġgentle men", + "Ġling ering", + "Offic ial", + "Ġgra ffiti", + "ĠN ames", + "D er", + "Ġqu int", + "ist rate", + "aze era", + "ĠNOT ICE", + "ĠFlore nce", + "Ġpay able", + "Ġdep icts", + "ĠSpe cies", + "He art", + "âĶĢâĶĢâĶĢâĶĢ âĶĢâĶĢâĶĢâĶĢ", + "Ġencl osed", + "Incre ases", + "D aily", + "ĠL is", + "Ġenact ment", + "ĠB acon", + "ĠSt eele", + "dem and", + "Ġ18 3", + "Ġmouth s", + "Ġstr anded", + "Ġenhance ment", + "01 1", + "ĠWh ats", + "Ġhe aled", + "en y", + "ĠR ab", + "Ġ3 40", + "ĠLab yrinth", + "ro ach", + "ĠY osh", + "ĠCl ippers", + "Ġconcert s", + "Intern et", + "35 5", + "Ġstick ers", + "Ġter med", + "ĠAx e", + "Ġgrand parents", + "Fr ance", + "ĠCl im", + "ĠU h", + "ul ic", + "Ġthr ill", + "cent ric", + "ĠOver view", + "ĠCond uct", + "Ġsubstant ive", + "Ġ18 2", + "m ur", + "Ġstr ay", + "ĠCo ff", + "Ġrep etitive", + "ĠFor gotten", + "Ġqual ification", + "ew itness", + "ĠZ imbabwe", + "Ġsim ulated", + "ĠJ D", + "25 3", + "ĠW are", + "Ġun sc", + "T imes", + "Ġsum mons", + "Ġdis connected", + "Ġ18 4", + "ci us", + "ĠGu jar", + "od ka", + "Ġer ase", + "ĠTob acco", + "elect ed", + "Ġun cont", + "ĠShe pard", + "ĠL amp", + "Ġalert ed", + "Ġoper ative", + "arn a", + "u int", + "Ġneglig ence", + "ac ements", + "Ġsup ra", + "Ġprev ail", + "ĠSh ark", + "Ġbel ts", + "ãģ «", + "Ġt ighter", + "Engine ers", + "Ġin active", + "Ġexp onent", + "ĠWill ie", + "a ples", + "Ġhe ir", + "ĠH its", + "ian n", + "ĠS ays", + "Ġcurrent s", + "ĠBeng al", + "Ġar ist", + "B uffer", + "Ġbree ze", + "ĠWes ley", + "Col a", + "Ġpron oun", + "Ġde ed", + "ĠK ling", + "Ġof t", + "Ġinf lict", + "Ġpun ishing", + "Ġn m", + "ik u", + "OD UCT", + "01 4", + "Ġsubsid y", + "ĠDE A", + "ĠHer bert", + "ĠJ al", + "B ank", + "Ġdef erred", + "Ġship ment", + "B ott", + "Ġal le", + "b earing", + "HT ML", + "Off line", + "Ġ2 13", + "Ġscroll ing", + "Ġsc anned", + "ĠLib yan", + "ĠT OP", + "ch rom", + "d t", + "col umn", + "Psy NetMessage", + "Z ero", + "Ġtor so", + "0 50", + "âķ IJ", + "Ġimp erson", + "ĠSchw artz", + "ud ic", + "Ġpiss ed", + "ĠS app", + "25 7", + "ĠIS Ps", + "og l", + "Ġsuper vised", + "Ġad olescent", + "Ġatt ained", + "ĠDel ivery", + "ĠB unny", + "Ġ19 37", + "Ġmini ature", + "Ġo s", + "Ġ3 70", + "60 8", + "ĠMour inho", + "Ġinn ate", + "Ġtem po", + "ĠN M", + "ĠFall en", + "00 9", + "Ġprov ocative", + "Stream er", + "ĠBened ict", + "ĠBol she", + "Ġt urtle", + "ĠPC B", + "ĠEqu al", + "Direct or", + "ĠR end", + "Ġflu ids", + "Author ities", + "Ġcous ins", + "requ ency", + "ĠNeigh bor", + "s ets", + "sh ared", + "Char les", + "pass word", + "Ġg ears", + "Ġ2 11", + "ĠHard ware", + "ri ka", + "Ġup stream", + "H om", + "Ġdisproportion ately", + "iv ities", + "Ġund efined", + "Ġelect rons", + "Ġcommem or", + "Event ually", + "Ġ> <", + "Ġir responsible", + "2 18", + "ĠRe leased", + "ĠO VER", + "ĠI GN", + "ĠB read", + "st ellar", + "ĠS age", + "tt ed", + "dam age", + "ed ition", + "ĠPre c", + "Ġl ime", + "Ġconf inement", + "Ġcal orie", + "we apon", + "Ġdiff ering", + "ĠS ina", + "m ys", + "am d", + "Ġintric ate", + "k k", + "ĠP AT", + "ã o", + "st ones", + "lin ks", + "Ġr anch", + "Sem itic", + "Ġdifferent iate", + "ĠS inger", + "occup ied", + "Ġfort ress", + "c md", + "Ġinter ception", + "ĠAnk ara", + "Ġre pt", + "ĠSol itaire", + "Ġrem ake", + "p red", + "Ġd ared", + "aut ions", + "ĠB ACK", + "Run ning", + "Ġdebug ging", + "Ġgraph s", + "3 99", + "ĠNig el", + "Ġb un", + "Ġpill ow", + "Ġprog ressed", + "fashion ed", + "Ġob edience", + "ER N", + "Ġrehe ars", + "C ell", + "t l", + "S her", + "Ġher ald", + "ĠPay ment", + "ĠC ory", + "ĠDe pt", + "Ġrep ent", + "ĠWe ak", + "uck land", + "Ġple asing", + "Ġshort ages", + "Ġjur ors", + "ĠK ab", + "q qa", + "Ant i", + "Ġw ow", + "ĠRC MP", + "Ġt sun", + "ĠS ic", + "Ġcomp rises", + "Ġsp ies", + "Ġprec inct", + "n u", + "Ġur ges", + "Ġtim ed", + "Ġstrip es", + "ĠB oots", + "Ġy en", + "Adv anced", + "Ġdisc rete", + "ĠArch angel", + "employ ment", + "D iff", + "Ġmon uments", + "Ġ20 9", + "work er", + "Ġ19 6", + "ĠI g", + "utter stock", + "T PS", + "J ac", + "Ġhomeless ness", + "Ġcomment ator", + "Ġrac ially", + "f ing", + "se ed", + "E le", + "ell ation", + "Ġeth anol", + "Ġpar ish", + "ĠD ong", + "ĠAw akening", + "Ġdev iation", + "ĠB earing", + "ĠTsu k", + "Ġrec ess", + "Ġl ymph", + "ĠCann abis", + "å ľ", + "ĠNEW S", + "Ġd ra", + "ĠStef an", + "ĠWr ong", + "ĠS AM", + "Ġloose ly", + "Ġinterpre ter", + "ĠPl ain", + "Go vernment", + "Ġbigot ry", + "Ġgren ades", + "ave z", + "pict ured", + "Ġmand ated", + "ĠMon k", + "ĠPed ro", + "Ġl ava", + "27 4", + "Ġcyn ical", + "ĠScroll s", + "l ocks", + "M p", + "Ġcon gregation", + "orn ings", + "ph il", + "ĠI bid", + "Ġf erv", + "Ġdisapp earing", + "Ġarrog ant", + "sy n", + "ĠMa ver", + "ĠSu it", + "24 1", + "Ġab bre", + "ack ers", + "P a", + "ĠY el", + "Whe never", + "Ġ23 5", + "ĠV ine", + "ĠAn at", + "Ġext inct", + "LE T", + "Ġexecut able", + "V ERS", + "ox ide", + "D NA", + "ĠP rel", + "Ġresent ment", + "Ġcompr ise", + "ĠAv iv", + "Ġinter ceptions", + "Ġprol ific", + "IN A", + "ĠEr in", + "though t", + "2 19", + "ĠPsychiat ry", + "un ky", + "chem ist", + "H o", + "ĠMcC oy", + "Ġbr icks", + "L os", + "ri ly", + "ĠUS SR", + "Ġr ud", + "Ġl aud", + "ĠW ise", + "ĠEmer ald", + "Ġrev ived", + "Ġdam ned", + "ĠRep air", + "id em", + "ct ica", + "Ġpatri arch", + "ĠN urs", + "me g", + "Ġcheap est", + "re ements", + "empt y", + "ĠCele br", + "Ġdepri vation", + "ch anted", + "ĠTh umbnails", + "E nergy", + "ĠEth an", + "ĠQ ing", + "Ġopp oses", + "W IND", + "v ik", + "ĠM au", + "ĠS UB", + "66 7", + "G RE", + "ĠVol unte", + "nt on", + "C ook", + "å IJ", + "es que", + "Ġplum met", + "Ġsu ing", + "Ġpron ounce", + "Ġresist ing", + "ĠF ishing", + "ĠTri als", + "Ġy ell", + "Ġ3 10", + "Ġin duct", + "Ġpersonal ized", + "oft en", + "R eb", + "EM BER", + "Ġview point", + "Ġexist ential", + "() )", + "rem ove", + "MENT S", + "l asses", + "Ġev apor", + "Ġa isle", + "met a", + "Ġreflect ive", + "Ġentit lement", + "Ġdev ised", + "mus ic", + "asc ade", + "Ġwind ing", + "off set", + "Ġaccess ibility", + "ke red", + "Bet ter", + "ĠJohn ston", + "th inking", + "S now", + "ĠCroat ia", + "ĠAt omic", + "27 1", + "34 8", + "Ġtext book", + "ĠSix th", + "Ġ اÙĦ", + "Ġsl ider", + "ĠBur ger", + "b ol", + "S ync", + "Ġgrand children", + "Ġc erv", + "+ )", + "Ġe ternity", + "Ġtweet ing", + "Ġspec ulative", + "Ġpiv otal", + "ĠW P", + "ĠT ER", + "ynam ic", + "Ġu pl", + "ĠC ats", + "per haps", + "Ġclass mates", + "Ġblat ant", + "' -", + "Ġl akh", + "ant ine", + "ĠB org", + "i om", + "/ (", + "ĠAthlet ic", + "Ġs ar", + "OT A", + "ĠHoff man", + "Never theless", + "Ġad orable", + "Ġspawn ed", + "Ass ociated", + "ĠDom estic", + "Ġimpl ant", + "ĠLux em", + "ĠK ens", + "Ġp umps", + "ĠS AT", + "Att ributes", + "50 9", + "av our", + "Ġcentral ized", + "ĠT N", + "Ġfresh ly", + "ĠA chieve", + "Ġouts iders", + "her ty", + "ĠRe e", + "ĠT owers", + "ĠD art", + "ak able", + "Ġm p", + "ĠHeaven ly", + "Ġr ipe", + "ĠCarol ine", + "ry an", + "Ġclass ics", + "Ġret iring", + "Ġ2 28", + "Ġa h", + "Ġdeal ings", + "Ġpunch ing", + "ĠChap man", + "O ptions", + "max well", + "vol ume", + "Ġst al", + "Ġex ported", + "ĠQu ite", + "Ġnumer ical", + "B urn", + "F act", + "ĠKey stone", + "Ġtrend ing", + "Ġalter ing", + "ĠAfric ans", + "47 8", + "ĠM N", + "ĠKn ock", + "Ġtempt ation", + "Ġprest ige", + "Over view", + "ĠTrad itional", + "ĠBah rain", + "Priv ate", + "ĠH OU", + "Ġbar r", + "ĠT at", + "C ube", + "US D", + "ĠGrand e", + "ĠG at", + "ĠFl o", + "Ġres ides", + "Ġind ec", + "vol ent", + "Ġperpet ual", + "ub es", + "Ġworld view", + "ĠQuant um", + "Ġfil tered", + "Ġen su", + "orget own", + "ERS ON", + "ĠM ild", + "37 9", + "OT T", + "à ¥", + "Ġvit amins", + "Ġrib bon", + "Ġsincere ly", + "ĠH in", + "Ġeight een", + "Ġcontradict ory", + "Ġgl aring", + "Ġexpect ancy", + "Ġcons pir", + "Ġmon strous", + "Ġ3 80", + "re ci", + "Ġhand ic", + "Ġpump ed", + "Ġindic ative", + "Ġr app", + "Ġav ail", + "ĠLEG O", + "ĠMar ijuana", + "19 85", + "ert on", + "Ġtwent ieth", + "################ ################", + "ĠSw amp", + "Ġval uation", + "Ġaffili ates", + "adjust ed", + "ĠFac ility", + "26 2", + "Ġenz ymes", + "itud inal", + "Ġimp rint", + "S ite", + "Ġinstall er", + "ĠT RA", + "m ology", + "lin ear", + "ĠCollect ive", + "ig ating", + "ĠT oken", + "Ġspec ulated", + "K N", + "ĠC ly", + "or ity", + "Ġdef er", + "Ġinspect ors", + "appro ved", + "R M", + "ĠSun s", + "Ġinform ing", + "ĠSy racuse", + "ib li", + "7 65", + "Ġgl ove", + "Ġauthor ize", + "âĢ¦âĢ¦âĢ¦âĢ¦ âĢ¦âĢ¦âĢ¦âĢ¦", + "ĠCru ise", + "Ġcontract ing", + "she ll", + "IF E", + "ĠJew el", + "p ract", + "ĠPhot oshop", + "ĠKnow ing", + "h arm", + "Ġattract ions", + "ad an", + "et us", + "01 8", + "w agen", + "Al t", + "Ġmultip ly", + "Ġequ ilibrium", + ": {", + "ĠF ighters", + "ĠEd gar", + "Ġfour teen", + "Go vern", + "Ġmis use", + "Ġab using", + "Ġancest ry", + "ram er", + "64 4", + "Ġwor ms", + "Ġthick er", + "ĠComb ine", + "Ġpeas ants", + "Ġv ind", + "Ġcon quest", + "Ġm ocked", + "Ġc innamon", + "ĠC ald", + "ĠGall up", + "Ġavoid ance", + "Ġincarn ation", + "ĠStr at", + "Ġt asted", + "ent a", + "ĠN eal", + "p ared", + "Ġtermin ology", + "ject ion", + "Scient ists", + "ĠIN S", + "ĠDe e", + "Ġdirect ories", + "R oad", + "ĠSh ap", + "br ight", + "ĠDirect ors", + "ĠCol umn", + "Ġb ob", + "Ġprefer ably", + "Ġgl itch", + "f urt", + "Ġe g", + "id is", + "C BC", + "Ġsur rendered", + "Ġtest ament", + "33 6", + "ug gest", + "ĠN il", + "an other", + "Ġpat hetic", + "ĠDon na", + "Ġ2 18", + "ĠA very", + "Ġwhis key", + "Ġf ixture", + "ĠCon quest", + "Ġbet s", + "O cc", + "ĠLe icester", + "] .\"", + "Ġ) );", + "Ġfl ashes", + "45 6", + "Ġmask ed", + "ge bra", + "Ġcomput ed", + "che l", + "aud er", + "Ġdefe ats", + "ĠLiber ation", + "ĠOs ama", + "ĠV ive", + "Ch anges", + "Ch annel", + "Ġtar iffs", + "Ġm age", + "ĠS ax", + "Ġinadvert ently", + "ĠC RE", + "ĠRe aper", + "ink y", + "gr ading", + "Ġstere otyp", + "Ġcur l", + "ĠF ANT", + "Ġfram eworks", + "M om", + "ĠAn ch", + "Ġflav our", + "car bon", + "Ġperm itting", + "let cher", + "ĠMo zilla", + "ĠPark ing", + "ĠCh amp", + "Sc roll", + "Ġmurd erer", + "Ġrest ed", + "Ġow es", + "ĠP oss", + "AD D", + "IF F", + "res olution", + "ĠMin ing", + "Ġcompar ative", + "D im", + "Ġneighbour ing", + "ĠA ST", + "ĠT oxic", + "Ġbi ases", + "Ġgun fire", + "ur ous", + "ĠMom ent", + "19 83", + "Ġper vasive", + "tt p", + "ĠNorm ally", + "r ir", + "S arah", + "ĠAlb any", + "Ġun sett", + "ĠS MS", + "ip ers", + "l ayer", + "ĠWh ites", + "up le", + "Ġtur bo", + "ĠLe eds", + "Ġthat s", + "ĠMin er", + "M ER", + "ĠRe ign", + "Ġper me", + "ĠBl itz", + "Ġ19 34", + "Ġintimid ating", + "t ube", + "Ġecc entric", + "ab olic", + "box es", + "ĠAssoci ates", + "v otes", + "Ġsim ulate", + "um bo", + "aster y", + "Ġship ments", + "FF FF", + "an th", + "Ġseason ed", + "Ġexperiment ation", + "âĸ ł", + "law s", + "Me et", + "idd les", + "ant ics", + "R ating", + "IS IS", + "h ift", + "Ġfront s", + "b uf", + "01 7", + "Ġun att", + "ĠD il", + "le ases", + "ĠGard ens", + "77 7", + "t ouch", + "ve ll", + "45 8", + "Ġ= ====", + "s aving", + "Ġer osion", + "ĠQu in", + "Ġearn s", + "Ġaccomplish ment", + "ĠWe i", + "Ġ< [", + "____ _", + "Ġir rig", + "ĠT eddy", + "Ġconqu ered", + "ĠArm ored", + "Ġassert s", + "Ġmanip ulating", + "r é", + "Ġtranscript s", + "G allery", + "Ġplot ting", + "Ne il", + "Ġbetray al", + "load er", + "ĠS ul", + "Ġdispl acement", + "Ġroy alty", + "ĠW I", + "he it", + "ĠDev ices", + "alle l", + "Ġmunicipal ities", + "Ġcan al", + "St ars", + "ĠU AE", + "Ġ\" âĢ¦", + "ĠC U", + "ab ove", + "Ġreson ance", + "ĠguiActive Un", + "add ed", + "ĠBra ves", + "ĠI bn", + "Ġhere by", + "ĠB RE", + "Ġshare holder", + "ĠH ir", + "ĠJ i", + "Ġstrange ly", + "Ġadm ired", + "Ġpl ight", + "Ġb achelor", + "ĠP ole", + "cipl inary", + "T ony", + "ĠArmen ian", + "Ġun man", + "ĠZion ist", + "St age", + "isco ver", + "Ġautom otive", + "Ġs idelines", + "Ġsl ick", + "ĠRena issance", + "ĠF UN", + "Im ages", + "ĠH aj", + "Ġp ing", + "Ġshort cut", + "ĠBl vd", + "ĠLook s", + "Ġbur sts", + "Ġcl amp", + "Ġm ish", + "Ġsort ing", + "Ġpatri ot", + "Ġcorrect ness", + "ĠScand inav", + "ĠCaval iers", + "p ython", + "az ar", + "Ġ3 75", + "ĠJa une", + "40 9", + "Ġdetrim ental", + "Ġstab bing", + "Ġpoison ed", + "Ġf ountain", + "oc ent", + "or st", + "ĠMar i", + "Ġr ains", + "ĠO vers", + "ĠInst itution", + "ud get", + "AM Y", + "t ale", + "ĠK R", + "ĠPr ices", + "Ġhead aches", + "Ġlands l", + "ĠA ura", + "Bon us", + "ĠZ hao", + "ĠH ip", + "Ġhop s", + "ĠKurd istan", + "Ġexplo iting", + "ry n", + "Ġhypocr isy", + "op ening", + "Ġgun shot", + "Ġw ed", + "inter stitial", + "Inter stitial", + "Ġam en", + "Bre aking", + "Ġmarket ed", + "W ire", + "ĠC rowd", + "Contin ue", + "ĠK nown", + "ĠEffect ive", + "ore an", + "iz ons", + "Jose ph", + "Ġescal ation", + "us ername", + "Ġcur tain", + "AT ES", + "ĠP AR", + "ĠM iy", + "Ġcounter fe", + "l ene", + "Ġcont enders", + "d aily", + "ĠAs c", + "ĠPhill ip", + "most ly", + "Ġfil ename", + "he ne", + "Ġresemb ling", + "Ġst aging", + "ĠCh loe", + "Ġw iring", + "H on", + "ĠRen ew", + "ott age", + "ĠHy brid", + "m uch", + "Ġstro kes", + "Ġpolicy makers", + "AP TER", + "ĠArk ham", + "pl ot", + "Ġassist ants", + "Ġde port", + "ĠSe ga", + "Ġinflu enza", + "ĠC ursed", + "ĠK obe", + "Ġskin ny", + "Prov ider", + "ĠR ip", + "Ġincrement al", + "product s", + "B F", + "Ġd ome", + "ĠC redits", + "Ġlos ers", + "int s", + "ĠBet ty", + "ĠTal ent", + "ĠD AM", + "L v", + "E ss", + "Ġd ens", + "tem p", + "J udge", + "od ic", + "Ġ' (", + "UR ES", + "ets k", + "V O", + "Ġretrie ved", + "Ġarchitect s", + "Ù ĩ", + "Ġeth ic", + "ĠSecond ary", + "st ocks", + "ad ia", + "Ġ3 25", + "ĠOp inion", + "Ġsimultane ous", + "Ġd izz", + "ul p", + "Ġsmugg ling", + "ipp ery", + "R andom", + "f acing", + "ĠD as", + "Ġstock p", + "Ġdiscl osures", + "po inter", + "Ġcor al", + "ĠSe lection", + "ĠP ike", + "ival ent", + "Ġruth less", + "ĠR im", + "Ġensu ing", + "ĠExper iment", + "Ġcongress man", + "Ġbelie ver", + "Ġun specified", + "ĠM ord", + "Ġknowledge able", + "ĠV ERY", + "T X", + "Ġstra ps", + "Ġtur f", + "apesh ifter", + "Ġmar ital", + "Ġfl ock", + "ãģ Ĩ", + "26 3", + "AM ES", + "ĠOpp osition", + "Ġtre asures", + "ĠG OD", + "Ġmodel ed", + "ĠWOR LD", + "Ġ( [", + "ĠUs age", + "H F", + "Ġ$ (", + "uss ed", + "Ġpione er", + "E ight", + "par se", + "b read", + "rit z", + "ĠMir anda", + "ĠK ant", + "++ )", + "ore n", + "Ġprov oked", + "Ġbre eds", + "ĠIn cludes", + "ĠPast ebin", + "ĠFl ip", + "J ava", + "Ġbr ink", + "Ġrum ored", + "Ġun seen", + "Ġgar nered", + "ĠDef in", + "al ted", + "Ġtatt oos", + "Ġhes itation", + "is itions", + "ĠWe aver", + "ĠReport ing", + "Ġtherap ies", + "Ġconsult ants", + "Ġresid ual", + "ĠMal i", + "ĠRom a", + "i ago", + "ĠRes idents", + "ub i", + "Ġremed ies", + "Ġadapt ive", + "ĠAl ive", + "ĠBar cl", + "Ġwal lets", + "c rypt", + "etermin ation", + "ĠPel osi", + "Ġsl ipping", + "oton in", + "Ġall iances", + "pat rick", + "ir is", + "Ġor th", + "ĠPer kins", + "ĠDe V", + "ĠG ets", + "Ġdry ing", + "ge e", + "fore st", + "ĠFor get", + "ore m", + "33 9", + "Ġvague ly", + "ĠD ion", + "ĠP orn", + "ĠH OW", + "Ġp neum", + "Ġrub ble", + "ĠT aste", + "enc ia", + "ĠG el", + "Ġd st", + "Ġ24 5", + "ĠMoroc co", + "inf lamm", + "ĠTw ins", + "Ġb ots", + "d aughter", + "ĠB alk", + "Ġbre thren", + "Ġlog os", + "Ġgo bl", + "f ps", + "Ġsub division", + "Ġp awn", + "Ġsquee zed", + "Ġmor ale", + "ĠD W", + "' \"", + "Ġkn ot", + "ook y", + "Ġdiv isive", + "Ġboost ed", + "ch y", + "ãĥ IJ", + "if act", + "Ġnewcom ers", + "ĠWrest ling", + "Ġsc outs", + "w olves", + "R at", + "Ġnin eteenth", + "ĠOs borne", + "St ats", + "Ġem powered", + "Ġpsych opath", + "ĠO EM", + "ugg age", + "ĠP K", + "ĠMoh ammad", + "P ak", + "Ġanarch ists", + "ĠExt ract", + "est hes", + "ĠStock holm", + "l oo", + "ĠG raph", + "Ġdeploy ing", + "ĠStr anger", + "ĠM old", + "Ġstaff er", + "Ġdiscount ed", + "uck le", + "ple ase", + "ĠLand ing", + "ÃŃ a", + "Ġ19 3", + "Ġan te", + "Ġrep etition", + "Ġ+ /-", + "Ġpar ody", + "Ġlive ly", + "AA A", + "ĠHor us", + "Ġp its", + "ind ers", + "L OC", + "ĠVen ice", + "40 6", + "ĠDis cover", + "â Ĩ", + "ellect ual", + "Ġp ens", + "Ġey el", + "ig uous", + "Im pl", + "Ġj oking", + "Ġinv al", + "ĠBel fast", + "Ġcredit ors", + "ĠSky walker", + "ov sky", + "Ġcease fire", + "Ġse als", + "is oft", + ") ).", + "ĠFel ix", + "IT S", + "Ġt resp", + "ĠBlock chain", + "ew are", + "ĠSch war", + "en ne", + "mount ed", + "ĠBe acon", + "les h", + "Ġimmense ly", + "Ġche ering", + "Em ploy", + "sc ene", + "ish ly", + "atche wan", + "ĠNic olas", + "Ġdr ained", + "ĠEx it", + "ĠAz erb", + "j un", + "Ġflo ated", + "u ania", + "De ep", + "Ġsuper v", + "Ġmyst ical", + "ĠD ollar", + "ĠApost le", + "ĠR EL", + "ĠProv ided", + "ĠB ucks", + "ãĥ ´", + "cut ting", + "Ġenhance ments", + "ĠPengu ins", + "ĠIsa iah", + "Ġj erk", + "ĠW yn", + "Ġst alled", + "Ġcryptoc urrencies", + "ĠR oland", + "sing le", + "Ġl umin", + "ĠF ellow", + "ĠCap acity", + "ĠKaz akh", + "W N", + "Ġfin anced", + "38 9", + "Ġt id", + "Ġcoll usion", + "ĠMy r", + "î Ģ", + "Sen ator", + "Ġped iatric", + "Ġneat ly", + "Ġsandwic hes", + "ĠArchitect ure", + "Ġt ucked", + "Ġbalcon y", + "Ġearthqu akes", + "qu ire", + "F uture", + "Ġhe fty", + "é Ĺ", + "Ġspecial izes", + "Ġstress es", + "Ġs ender", + "Ġmisunder standing", + "Ġep ile", + "Ġprov oke", + "ĠCol ors", + "Ġdis may", + "uk o", + "[ _", + "58 6", + "ne utral", + "Ġdon ating", + "ĠRand all", + "Mult i", + "Ġconvenient ly", + "ĠS ung", + "ĠC oca", + "Ġt ents", + "ĠAc celer", + "Ġpart nered", + "27 2", + "ir ming", + "ĠB AS", + "s ometimes", + "Ġobject ed", + "ub ric", + "p osed", + "LC S", + "gr ass", + "Ġattribut able", + "V IS", + "Israel i", + "Ġrepe ats", + "ĠR M", + "v ag", + "ut a", + "in ous", + "Ġin ert", + "ĠMig uel", + "æ Ń", + "ĠHawai ian", + "B oard", + "Ġart ific", + "ĠAzerb ai", + "as io", + "ĠR ent", + "A IN", + "Ġappl iances", + "Ġnational ity", + "Ġass hole", + "ĠN eb", + "Ġnot ch", + "h ani", + "ĠBr ide", + "Av ailability", + "Ġintercept ed", + "Ġcontin ental", + "Ġsw elling", + "ĠPers pect", + "b ies", + ". <", + "ith metic", + "ĠL ara", + "Ġtempt ing", + "add r", + "Ġoversee ing", + "cl ad", + "ĠD V", + "ĠGing rich", + "Ġm un", + "ĠApp ropri", + "Ġalter ations", + "ĠPat reon", + "Ġha voc", + "Ġdiscipl ines", + "Ġnotor iously", + "aku ya", + "ier i", + "? ).", + "ĠW ent", + "Ġsil icon", + "Ġtre mb", + "Cont ainer", + "K nown", + "Ġmort ar", + "est e", + "ick a", + "Ar thur", + "ĠPre viously", + "ĠMart y", + "Ġsp arse", + "g ins", + "Ġin ward", + "ĠParticip ant", + "C opy", + "ĠM isc", + "Ġantib iotic", + "ĠRet ro", + "Ġel usive", + "Ġass ail", + "ĠBatt alion", + "ĠB ought", + "Ġdimin ish", + "ĠEuro pa", + "s ession", + "ĠDanger ous", + "ies el", + "Ġdisbel ief", + "Ġbl asts", + "ext reme", + "ĠBoy d", + "ĠProject s", + "ĠGu ys", + "Ġunder gone", + "Ġgr ill", + "ĠDw ight", + "Ġ19 7", + "US ER", + "Ġfiles ystem", + "Ġcl ocks", + "T aylor", + "Ġwra pper", + "Ġfold ing", + "ous and", + "ĠPhilipp ine", + "ATION AL", + "ĠPer th", + "Ġas hes", + "Ġaccum ulate", + "ĠGate way", + "Sh op", + "orks hire", + "H an", + "ĠBar rel", + "ĠLe h", + "ĠX V", + "Ġwh im", + "Ġrep o", + "ĠC G", + "ĠM am", + "Ġincorpor ating", + "Ġbail out", + "Ġlingu istic", + "Ġdis integ", + "C LE", + "Ġcinem atic", + "ĠF iber", + "S yn", + "il ion", + "ĠCom pos", + "c hens", + "Ġne oc", + "Ġbo iled", + "F INE", + "on o", + "un cle", + "ik en", + "ĠB M", + "Î ¹", + "Ġreceipt s", + "Ġdisp osed", + "ĠTh irty", + "ĠR ough", + "ĠA BS", + "Ġnot withstanding", + "oll en", + "# $", + "Ġunrel iable", + "Ġbl oom", + "Ġmedi ocre", + "Ġtr am", + "ĠTas man", + "Ġsh akes", + "Ġmanifest o", + "ĠM W", + "Ġsatisf actory", + "Ġsh ores", + "Ġcomput ation", + "Ġassert ions", + "orm ons", + "ar ag", + "ab it", + "Dem ocrats", + "ĠL oot", + "ĠVol ks", + "ha ired", + "Ġgrav itational", + "S ing", + "ĠM iz", + "Ġthro ttle", + "Ġtyr anny", + "ĠView s", + "Ġrob ber", + "ĠMinor ity", + "Ġsh rine", + "sc ope", + "pur pose", + "Ġnucle us", + "our cing", + "ĠUS DA", + "ĠD HS", + "w ra", + "ĠBow ie", + "Sc ale", + "ĠB EL", + "x i", + "I ter", + "Ġ( ),", + "w right", + "Ġsail ors", + "ous ed", + "NAS A", + "ĠPro of", + "ĠMin eral", + "t oken", + "ĠF D", + "R ew", + "Ġe ll", + "6 30", + "Ġchance llor", + "ĠG os", + "Ġamount ed", + "ĠRec re", + "ome z", + "ĠOpt im", + "ĠOl ive", + "Ġtrack er", + "ow ler", + "ĠUn ique", + "R oot", + "Ġmar itime", + "ĠQur an", + "ĠAd apt", + "Ġecosystem s", + "ĠRe peat", + "ĠS oy", + "ĠI MP", + "Ġgrad uating", + "and em", + "P ur", + "ĠRes et", + "ĠTr ick", + "ĠPh illy", + "ĠT ue", + "ĠMalays ian", + "Ġclim ax", + "Ġb ury", + "Ġcons pic", + "ĠSouth ampton", + "ĠFl owers", + "Ġesc orted", + "ĠEduc ational", + "ĠI RC", + "Ġbrut ally", + "e ating", + "Ġpill ar", + "ĠS ang", + "ĠJ ude", + "ar ling", + "ĠAm nesty", + "Ġrem inding", + "ĠAdminist rative", + "hes da", + "Ġfl ashed", + "ĠP BS", + "per ate", + "fe ature", + "Ġsw ipe", + "Ġgra ves", + "oult ry", + "26 1", + "bre aks", + "ĠGu er", + "Ġsh rimp", + "ĠV oting", + "qu ist", + "Ġanaly tical", + "Ġtables poons", + "ĠS OU", + "Ġresear ched", + "Ġdisrupt ed", + "Ġj our", + "Ġrepl ica", + "Ġcart oons", + "b ians", + "} )", + "c opy", + "G ot", + "ou ched", + "P UT", + "Ġsw arm", + "not ations", + "s aid", + "Ġreb uilt", + "Ġcollabor ate", + "Ġr aging", + "Ġn ar", + "Ġdem ographics", + "ĠD DR", + "Ġdist rust", + "oss ier", + "ĠK ro", + "Ġpump kin", + "Ġreg rets", + "Ġfatal ities", + "ĠL ens", + "ĠO le", + "p d", + "Ġpupp et", + "ĠOut look", + "ĠSt am", + "O l", + "F air", + "U U", + "Ġre written", + "Ä ±", + "Ġfasc inated", + "Ġve ctors", + "Ġtrib unal", + "u ay", + "ĠM ats", + "ĠCo ins", + "[ [", + "Ġ18 1", + "Ġrend ers", + "ĠK aepernick", + "Ġesp ionage", + "Ġsum m", + "Ġd itch", + "Acc ount", + "Ġspread sheet", + "Ġmut ant", + "p ast", + "40 7", + "Ġd ye", + "Ġinit iation", + "Ġ4 000", + "Ġpunish able", + "Ġth inner", + "ĠKh al", + "Ġinter medi", + "D un", + "ĠGoth am", + "Ġeager ly", + "Ġvag inal", + "p owers", + "V W", + "ĠWATCH ED", + "Ġpred ator", + "ams ung", + "Ġdispar ity", + "Ġ[ *", + "Ġam ph", + "Ġout skirts", + "ĠSpir its", + "Ġskelet al", + "Ð »", + "ĠR ear", + "Ġissu ance", + "ĠLog ic", + "re leased", + "Z Z", + "ĠB ound", + "Ent ry", + "Ġex its", + "is ol", + "ĠFound er", + "Ġw re", + "ĠGreen land", + "ĠM MO", + "t aker", + "IN C", + "ãģ ¾", + "Ġhour ly", + "hen ko", + "Ġfantas ies", + "Ġdis ob", + "Ġdemol ition", + "ãĥ ĭ", + "Ġen listed", + "rat ulations", + "Ġmis guided", + "Ġens ured", + "Ġdiscour aged", + "m ort", + "Ġfl ank", + "Ġc ess", + "Ġreact s", + "ĠS ere", + "s ensitive", + "ĠSer pent", + "ass ad", + "Ġ24 7", + "Ġcalm ly", + "b usters", + "Ġble ed", + "ĠSt ro", + "Ġamuse ment", + "ĠAntar ctica", + "Ġs cept", + "ĠG aw", + "a q", + "ason ic", + "Ġsp rawling", + "n ative", + "atur ated", + "ĠBattle field", + "IV ERS", + "E B", + "ĠG ems", + "ĠNorth western", + "ĠFil ms", + "ĠAut omatic", + "Ġappre hend", + "ãģ ¨", + "Ġgui Name", + "Ġback end", + "Ġevid enced", + "ge ant", + "01 2", + "ĠS iege", + "Ġexternal To", + "Ġunfocused Range", + "ĠguiActiveUn focused", + "Ġgui Icon", + "ĠexternalTo EVA", + "ĠexternalToEVA Only", + "F ri", + "ch ard", + "en aries", + "Ġchief s", + "Ġc f", + "ĠH UD", + "Ġcorro bor", + "Ġd B", + "ĠT aken", + "ĠPat ricia", + "ra il", + "ĠCh arm", + "ĠLiber tarian", + "rie ve", + "Person al", + "ĠO UR", + "ger ies", + "Ġdump ing", + "Ġneurolog ical", + "it imate", + "ĠClint ons", + "raft ed", + "ĠM olly", + "Ġtermin als", + "reg ister", + "Ġfl are", + "Ġenc oded", + "Ġautop sy", + "p el", + "m achine", + "Ġexempt ions", + "ĠRoy als", + "d istance", + "Ġdraft s", + "Ġl ame", + "ĠC unning", + "Ġsp ouses", + "ĠMark ets", + "ĠCar rier", + "Ġimp lying", + "ĠY ak", + "s id", + "Ġl oser", + "Ġvigil ant", + "Ġimpe achment", + "Ġaug mented", + "ĠEmploy ees", + "Ġunint ended", + "tern ally", + "ĠW att", + "Ġrecogn izable", + "ess im", + "æ Ŀ", + "Ġco ated", + "r ha", + "Ġlie utenant", + "ĠLegisl ation", + "pub lished", + "44 4", + "01 3", + "Ġide ally", + "ĠPass word", + "Ġsimpl ify", + "ĠMet a", + "ĠM RI", + "Ġple ading", + "organ ized", + "hand ler", + "Ġun ravel", + "cor rect", + "Ġ icy", + "Ġparan oid", + "Ġpass er", + "Ġinspect ions", + "of er", + "ĠHealth care", + "28 3", + "ĠBr ut", + "iol a", + "for ge", + "ĠMed ieval", + "MS N", + "ie vers", + "ĠProgram ming", + "å ī", + "Ġ2 23", + "m u", + "ĠC LE", + "ug a", + "Ġsho ppers", + "Ġinform ative", + "ĠPl ans", + "Ġsupplement ation", + "ĠT ests", + "ty ard", + "ocy tes", + "ĠVeg a", + "ĠGujar at", + "erman ent", + "Ex cept", + "ĠL OT", + "all a", + "ĠC umm", + "ĠO sw", + "Ġven om", + "ĠDeb t", + "ĠD OWN", + "Ġreun ion", + "Ġm uc", + "ĠRel ief", + "Ġge op", + "ĠðŁ ĺ", + "al ogue", + "An th", + "ech o", + "Ġcor ros", + "Ġrepl ication", + "ĠBl azing", + "ĠD aughter", + "Ġinf lic", + "ĠLind sey", + "Ù Ī", + "28 4", + "Ex it", + "Ġgl oom", + "TA IN", + "Ġundermin ing", + "Ġadv ising", + "h idden", + "Ġover flow", + "Ġg or", + "urd ue", + "Ġe choes", + "enh agen", + "Ġimp uls", + "d rug", + "c ash", + "Ġas ync", + "Ġmir ac", + "at ts", + "p unk", + "Ġpiv ot", + "ĠLegisl ative", + "Ġblog gers", + "ĠCl aw", + "s burg", + "d yl", + "ĠRecomm end", + "Ġver te", + "Ġprohib iting", + "ĠPant her", + "Jon athan", + "Ġo min", + "Ġhate ful", + "28 1", + "ĠOr che", + "ĠMurd och", + "down s", + "Ġas ymm", + "G ER", + "Al ways", + "Ġinform s", + "ĠW M", + "ĠP ony", + "ĠApp endix", + "ĠAr lington", + "J am", + "Ġmedic inal", + "ĠS lam", + "IT IES", + "Ġre aff", + "ĠR i", + "F G", + "S pring", + "b ool", + "Ġthigh s", + "Ġmark ings", + "ĠRa qqa", + "ĠL ak", + "p oll", + "ts ky", + "ĠMort y", + "ĠDef inition", + "Ġdeb unk", + "end ered", + "ĠLe one", + "a vers", + "Ġmortg ages", + "App arently", + "N ic", + "ha us", + "ĠTh ousands", + "au ld", + "Ġm ash", + "sh oot", + "Ġdi arr", + "Ġconscious ly", + "H ero", + "e as", + "ĠN aturally", + "ĠDestroy er", + "Ġdash board", + "serv ices", + "R og", + "Ġmillenn ials", + "Ġinv ade", + "- (", + "Ġcomm issions", + "ĠA uckland", + "Ġbroadcast s", + "Ġfront al", + "Ġcr ank", + "ĠHist oric", + "Ġrum ours", + "CT V", + "Ġster il", + "Ġboost er", + "rock et", + "ãĤ ¼", + "ut sche", + "ĠP I", + "Ġ2 33", + "ĠProdu cer", + "ĠAnaly tics", + "Ġinval uable", + "Ġunint ention", + "ĠC Y", + "Ġscrut in", + "Ġg igg", + "Ġeng ulf", + "Ġprolet ariat", + "Ġh acks", + "ĠH ew", + "ar ak", + "ĠSl ime", + "ield ing", + "ag her", + "ĠEll iot", + "Ġtele com", + "Ġ2 19", + "ult an", + "ĠAr bor", + "ĠSc outs", + "B an", + "Ġlifes pan", + "Ġbl asp", + "38 8", + "Ġjud iciary", + "ĠContin ental", + "ask ing", + "Mc C", + "L ED", + "Ġbag gage", + "ĠSorce rer", + "Ġrem nants", + "ĠGriff ith", + "ets u", + "ĠSub aru", + "ĠPerson ality", + "des igned", + "ush ima", + "agn ar", + "Ġrec oil", + "Ġpass ions", + "\\ \":", + "Ġte e", + "Ġabol ition", + "ĠCreat ing", + "j ac", + "Ġ19 4", + "01 9", + "Ġpill ars", + "ric hed", + "/ \"", + "t k", + "Ġlive lihood", + "Ġro asted", + "ah on", + "ĠH utch", + "ass ert", + "Ġdivid end", + "Ġkn it", + "Ġd aunting", + "Ġdisturb ance", + "Ġsh ale", + "Ġcultiv ated", + "Ġrefriger ator", + "L B", + "ĠN ET", + "Ġcommercial s", + "Ġthink ers", + "45 5", + "Ġch op", + "B road", + "Ġsuspic ions", + "Ġtag ged", + "l ifting", + "Ġsty lish", + "ĠShield s", + "Short ly", + "Ġt ails", + "A uth", + "ST E", + "ĠG AME", + "Ġse ism", + "ĠK is", + "olog ne", + "Ġcow ork", + "Ġforc ibly", + "Ġthy roid", + "ĠP B", + "AN E", + "mar ried", + "h orse", + "Ġpoly mer", + "ĠCh al", + "od or", + "DE BUG", + "ĠCon text", + "Ġbl iss", + "Ġpin point", + "ĠMat hemat", + "leg ram", + "ĠWeek end", + "Ġlab elled", + "Ġb art", + "it les", + "Ġest rogen", + "âĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶ âĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶâĢĶ", + "\" '", + "Ġvis ibly", + "Ġouts ider", + "aid a", + "Are a", + "Ġdisse min", + "Ġdish onest", + "ĠCl osed", + "ĠBullet in", + "ĠRam sey", + "sw ord", + "ĠX I", + "our ced", + "S ame", + "34 6", + "ĠRe pe", + "ĠK ou", + "c ake", + "em is", + "C ache", + "ĠMe aning", + "ĠEn light", + "onom y", + "Ġmanifest ation", + "sw orth", + "J ay", + "Ġch ore", + "ö r", + "D ream", + "Ġsanction ed", + "Ġcult urally", + "ĠA ra", + "N av", + "Ġthe ological", + "Ġstr ut", + "ĠV O", + "ĠHand book", + "Ġconstruct ing", + "Ġ ¶", + "ĠBenef its", + "ĠPsych ological", + "s ac", + "å ¸", + "p olicy", + "ĠMat ters", + "ĠReport ed", + "ĠBy te", + "Ġvit ro", + "ĠM aiden", + "Ġl am", + "ĠJenn ings", + "Ġgar ment", + "ĠRut gers", + "ĠStaff ord", + "ĠWell ington", + "Ġinter mitt", + "Ġn pm", + "Ġord eal", + "Ġplug ged", + "o oming", + "in ished", + "fram ework", + "Ġtim ber", + "Ġc ass", + "Ġ8 50", + "il ess", + "ĠRed ux", + "7 68", + "St re", + "Ġsurpass ed", + "w hel", + "Ġparalle ls", + "Ġve il", + "ĠG I", + "ĠR EST", + "Ġread iness", + "s ort", + "Ġmod ifying", + "ĠSl ate", + "ru ff", + "Ġmar ble", + "Ġinf rared", + "Ġaud itor", + "ĠFANT ASY", + "ĠP overty", + "ĠS PD", + "Ġ\" (", + "K y", + "RA Y", + "Ġexecut ions", + "ĠBever ly", + "ĠMarx ism", + "ĠBur st", + "ĠK ali", + "est ones", + "Clear ly", + "E ll", + "ãģ §", + "ĠProceed ings", + "T oken", + "IF IC", + "ñ a", + "Cent ral", + "ĠH aley", + "ĠD rama", + "Ġform ations", + "OR N", + "Book s", + "Ġdom inating", + "ĠFly ers", + "ĠCompan ion", + "Ġdiscipl ined", + "ĠYug oslav", + "ĠSpell s", + "Ġv engeance", + "Ġland lords", + "L en", + "ĠO gre", + "ano ia", + "Ġpier cing", + "Ġcon greg", + "Ġscore r", + "ob ia", + "Ġnic kel", + "ĠLear ns", + "Ġre jo", + "Ġmaster piece", + "Fl ash", + "Ġinhab ited", + "ĠOpen GL", + "ĠD ud", + "ĠI CO", + "Ġar ter", + "Ġpl ur", + "Ġmaster y", + "Ġlong standing", + "st ed", + "Ġw ines", + "Ġtelev ised", + "ĠSh rine", + "ĠBay ern", + "Ġâ ĵĺ", + "Ġencl osure", + "j ohn", + "Ġprophe ts", + "ĠRes urrection", + "ĠOrd ers", + "Ġun even", + "r als", + "Ġd wind", + "ĠL ah", + "ĠSl oven", + "37 8", + "Ġins istence", + "aff le", + "ĠCl one", + "Ġhard ship", + "ĠCongress man", + "Ġple ad", + "Ġreview ers", + "Ġc ured", + "Ġ19 35", + "as ley", + "f ake", + "ĠTh inking", + "yd ia", + "P ART", + "ĠD ota", + "o it", + "Ġwh ipped", + "Ġb ouncing", + "ĠHispan ics", + "com ings", + "Ġcann abin", + "ĠCh ambers", + "ĠZ ack", + "Option al", + "Ġco ats", + "Ġprow ess", + "ĠNort on", + "Ġplain ly", + "Ġfre ight", + "Ġinhib ition", + "Ġcl am", + "Ġ30 3", + "ke f", + "ale igh", + "L uke", + "Ġpsych o", + "ator ium", + "M ED", + "Ġtreat ies", + "Ġind isc", + "Ġd c", + "OP S", + "Ġresil ient", + "ĠInter state", + "Ġsl ack", + "Ġmund ane", + "Ġestab lishes", + "35 9", + "Ġstr ained", + "Ġn ond", + "S us", + "Ġcast e", + "ar ate", + "ie ving", + "Ġunfair ly", + "Ġpars er", + "on ial", + "urs ive", + "V ia", + "ĠOtt o", + "ĠAuthor ities", + "stro ke", + "K R", + "ĠMer cy", + "Ġfurn ished", + "Ġout set", + "Ġmet ic", + "19 82", + "olith ic", + "ĠT ent", + "og ical", + "ĠA ircraft", + "Ġh ides", + "ĠBec ame", + "Ġeduc ators", + "re aching", + "Ġvol atility", + "Ġtodd ler", + "ĠNAS CAR", + "ĠTw elve", + "ĠHigh lights", + "Ġgra pe", + "Ġspl its", + "Ġpe asant", + "Ġre neg", + "ĠMS I", + "Tem p", + "st ars", + "Ġtre k", + "ĠHy de", + "b inding", + "Ġreal ism", + "Ġox ide", + "ĠH os", + "Ġmount s", + "Ġbit ing", + "Ġcollaps ing", + "Ġpost al", + "Ġmuse ums", + "Ġdet ached", + "Ġrespect ing", + "Ġmonop ol", + "Ġwork flow", + "ĠC ake", + "Tem plate", + "ĠOrgan isation", + "Ġpers istence", + "36 9", + "C oming", + "B rad", + "Ġredund ant", + "ĠG TA", + "Ġb ending", + "Ġrev oked", + "Ġoff ending", + "Ġfram ing", + "Ġprint f", + "Comm un", + "mem bers", + "Out side", + "Ġconst rued", + "Ġc oded", + "F ORE", + "Ġch ast", + "Ch at", + "Ind ian", + "ĠY ard", + "? !\"", + "ĠP orts", + "ĠX avier", + "ĠR ET", + "' .\"", + "ĠBo at", + "iv ated", + "ich t", + "umer able", + "D s", + "ĠDun n", + "Ġcoff in", + "Ġsecure ly", + "ĠRapt ors", + "ĠB es", + "Install ation", + "Ġin ception", + "ĠHealth y", + "end ants", + "Ġpsych ologists", + "ĠShe ikh", + "c ultural", + "ĠBlack Berry", + "sh ift", + "F red", + "oc he", + "Ġc akes", + "ĠS EO", + "ĠG ian", + "ĠAs ians", + "og ging", + "e lement", + "Ġpund its", + "ĠV augh", + "ĠG avin", + "Ġh itter", + "Ġdrown ed", + "Ġch alk", + "ĠZ ika", + "Ġmeas les", + "80 2", + "âĢ¦ ..", + "ĠAW S", + "] \"", + "Ġdist ort", + "ĠM ast", + "Ġantib odies", + "ĠM ash", + "Mem ory", + "ĠUg anda", + "ĠPro b", + "Ġvom iting", + "ĠTurn s", + "Ġoccup ying", + "Ġev asion", + "ĠTher apy", + "Ġprom o", + "Ġelect r", + "Ġblue print", + "ĠD re", + "pr iced", + "ĠDep ot", + "Ġallev iate", + "ĠSom ali", + "m arg", + "n ine", + "Ġnostalg ia", + "ĠShe pherd", + "Ġcaval ry", + "Ġtor ped", + "ĠBlood y", + "x b", + "Ġs ank", + "Ġgo alt", + "report print", + "embed reportprint", + "clone embedreportprint", + "ĠIn itially", + "ĠF ischer", + "Ġnot eworthy", + "c ern", + "Ġin efficient", + "raw download", + "rawdownload cloneembedreportprint", + "c ation", + "ĠD ynasty", + "l ag", + "D ES", + "Ġdistinct ly", + "ĠEston ia", + "Ġopen ness", + "Ġg ossip", + "ru ck", + "W idth", + "ĠIb rahim", + "Ġpet roleum", + "Ġav atar", + "ĠH ed", + "ath a", + "ĠHog warts", + "Ġc aves", + "67 8", + "Ġsafegu ard", + "ĠM og", + "iss on", + "ĠDur ham", + "sl aught", + "ĠGrad uate", + "Ġsub conscious", + "ĠEx cellent", + "ĠD um", + "---- -", + "Ġp iles", + "ĠW ORK", + "ĠG arn", + "ĠF ol", + "ĠAT M", + "Ġavoid s", + "ĠT ul", + "Ġble ak", + "EL Y", + "iv ist", + "light ly", + "P ers", + "ĠD ob", + "ĠL S", + "Ġins anity", + "Î µ", + "atal ie", + "En large", + "Ġtw ists", + "Ġfault y", + "Ġpir acy", + "Ġimp over", + "Ġrug ged", + "ĠF ashion", + "Ġs ands", + "' ?", + "sw ick", + "Ġn atives", + "Ġhe n", + "ĠNo ise", + "ãĥ Ĺ", + "Ġg reens", + "Ġfree zer", + "Ġd ynasty", + "ĠFather s", + "ĠNew ark", + "Ġarchae ological", + "Ġo t", + "ob ar", + "Ġblock ade", + "Ġall erg", + "L V", + "Ġdeb it", + "ĠR FC", + "ĠMil ton", + "ĠPress ure", + "Ġwill ingly", + "Ġdisproportion ate", + "Ġopp ressive", + "Ġdiamond s", + "Ġbelong ings", + "19 70", + "Ġbell s", + "Ġimperial ism", + "Ġ2 27", + "Ġexpl oding", + "ĠE clipse", + "Ġ19 19", + "Ġr ant", + "Ġnom inations", + "34 7", + "Ġpeace fully", + "ric a", + "ĠF UCK", + "Ġvib ration", + "mal ink", + "Ġro pes", + "ĠIv anka", + "ĠBrew ery", + "ĠBook er", + "ĠOw ens", + "go ers", + "Serv ices", + "ĠSn ape", + "Ġ19 1", + "39 5", + "Ġ2 99", + "just ice", + "Ġb ri", + "Ġdisc s", + "Ġprom inently", + "Ġvul gar", + "Ġsk ipping", + "l ves", + "Ġtsun ami", + "37 4", + "ĠU rug", + "ĠE id", + "rec ated", + "p hen", + "Ġfault s", + "ĠStart ed", + "9 50", + "Ġp i", + "Ġdetect or", + "Ġbast ard", + "Ġvalid ated", + "Space Engineers", + "OUR CE", + "Ġ( ~", + "Ġuns ur", + "Ġaff irmed", + "Ġfasc ism", + "Ġres olving", + "ĠCh avez", + "ĠC yn", + "Ġdet ract", + "L ost", + "Ġrig ged", + "Ġhom age", + "ĠBrun o", + "55 5", + "ec a", + "Ġpress es", + "Ġhum our", + "Ġsp acing", + "Ġ' /", + "olk ien", + "C oun", + "OP ER", + "T re", + "S on", + "ĠCambod ia", + "ier re", + "m ong", + "o zy", + "Ġliquid ity", + "ĠSov iets", + "ĠFernand o", + "Ġ2 29", + "Ġsl ug", + "ĠCatal an", + "elect ric", + "Ġsc enery", + "ĠH earth", + "Ġconst rained", + "Ġgoal ie", + "ĠGu idelines", + "ĠAm mo", + "ĠPear son", + "Ġtax ed", + "Ġfet us", + "Resp onse", + "ĠAlex is", + "th ia", + "G uy", + "Ġrecon struct", + "Ġextrem es", + "Ġconclud ing", + "ĠP eg", + "ook s", + "Ġded uctions", + "R ose", + "Ġground breaking", + "ĠT arg", + "ãĥ ģ", + "ĠRe ve", + "res ource", + "Ġmo ons", + "Ġelectrom agnetic", + "Ġamid st", + "ĠVik tor", + "N ESS", + "B ACK", + "Ġcomm ute", + "ĠAna heim", + "Ġfluct uations", + "6 40", + "Ġnood les", + "ĠCop enhagen", + "ĠT ide", + "ĠGri zz", + "ĠS EE", + "Ġpip elines", + "Ġsc ars", + "end o", + "ag us", + "ĠE TF", + "/ #", + "ĠBec ome", + "44 8", + "Ġvis c", + "ĠRecomm ended", + "Ġj umper", + "Ġcogn ition", + "Ġassass in", + "Ġwitness ing", + "ĠSet up", + "Ġl ac", + "v im", + "IS M", + "p ages", + "SS L", + "35 8", + "Ġad ject", + "indust rial", + "l ore", + "cher y", + "Ġgl itter", + "Ġc alf", + "Flor ida", + "Ġspoil ers", + "Ġsucceed s", + "Ġch anting", + "Ġslog ans", + "ĠTr acy", + "Vis it", + "rol ogy", + "Ġm ornings", + "Ġline age", + "Ġs ip", + "Ġintense ly", + "Ġflour ish", + "ĠSle eping", + "ĠF em", + "or por", + "ĠK lan", + "ĠDar th", + "h ack", + "ĠNi elsen", + "Ġtum ors", + "Ġprocure ment", + "ĠY orkshire", + "Ġra ided", + "K Y", + "An na", + "Ġ// [", + "ĠDis order", + "ĠMust ang", + "ĠW en", + "ĠTry ing", + "s q", + "Ġdeliver ies", + "Ġshut ter", + "Ġcere bral", + "Ġbip olar", + "ĠC N", + "l ass", + "j et", + "Ġdeb ating", + "> :", + "Ġe agle", + "gr ades", + "ĠD ixon", + "UG C", + "M AS", + "ĠDr aco", + "ĠMach ines", + "aff er", + "Ġem an", + " ²", + "pr on", + "ĠG ym", + "Ġcompar atively", + "ĠTrib unal", + "PR O", + "Ġle x", + "Ġfert ile", + "Ġdep ressing", + "Ġsuperf icial", + "ess ential", + "ĠHun ters", + "g p", + "Ġprom inence", + "L iber", + "ĠAn cest", + "ote chnology", + "Ġm ocking", + "ĠTra ff", + "ĸ ļ", + "Med ium", + "I raq", + "Ġpsychiat rist", + "Quant ity", + "ĠL ect", + "Ġno isy", + "5 20", + "G Y", + "Ġsl apped", + "ĠM TV", + "Ġpar a", + "p ull", + "Mult iple", + "as her", + "Ġn our", + "ĠSe g", + "Spe ll", + "v ous", + "ord ial", + "Sen ior", + "ĠGold berg", + "ĠPl asma", + "ne ed", + "Ġmess enger", + "ere t", + "Ġteam ed", + "Ġliter acy", + "ĠLe ah", + "ĠD oyle", + "Ġem itted", + "U X", + "Ġev ade", + "Ġm aze", + "Ġwrong ly", + "ĠL ars", + "Ġstere otype", + "Ġpled ges", + "Ġarom a", + "ĠM ET", + "Ġac re", + "ĠO D", + "Ġf f", + "Ġbrew eries", + "ĠH ilton", + "und le", + "ĠK ak", + "ĠThank fully", + "ĠCan ucks", + "in ctions", + "ĠApp ears", + "Ġco er", + "Ġundermin ed", + "ro vers", + "And re", + "Ġbl aze", + "um ers", + "Ġfam ine", + "amp hetamine", + "ulk an", + "Am ount", + "Ġdesper ation", + "wik ipedia", + "develop ment", + "ĠCor inth", + "uss ia", + "Jack son", + "L I", + "N ative", + "R s", + "Oh io", + "ĠKath leen", + "F ortunately", + "Ġattend ant", + "ĠPre ferred", + "ĠDid n", + "ĠV s", + "M is", + "Ġrespond ent", + "Ġb oun", + "st able", + "Ġp aved", + "Ġunex pl", + "ĠChe ney", + "L M", + "ĠC ull", + "bl own", + "Ġconfront ing", + "oc ese", + "serv ing", + "W i", + "ĠLith uania", + "ann i", + "Ġst alk", + "h d", + "Ġv ener", + "AP H", + "ynchron ous", + "UR R", + "um ably", + "hist oric", + "H alf", + "H ay", + "Ġresil ience", + "spe ction", + "Ġabandon ing", + "O bs", + "ĠDeb bie", + "Ġgrad ient", + "ĠPl aint", + "ĠCan al", + "AR CH", + "Ġexpans ive", + "Ġfun g", + "Ġb ounced", + "U nd", + "Ġprec autions", + "Ġclar ification", + "Ġd agger", + "Ġgri ps", + "Ġ µ", + "ĠRiver a", + "ĠUnd ead", + "is ites", + "ĠFIR ST", + "ñ o", + "aud i", + "Ġhost ages", + "Ġcompl iant", + "Ġal umni", + "Se ven", + "Ġcyber security", + "e ither", + "Col lect", + "Ġinvari ably", + "ĠS oci", + "Ġlaw maker", + "Ġa le", + "ĠPerson ally", + "N azi", + "Ġcustom ization", + "ĠPro c", + "ĠSask atchewan", + "eat uring", + "Ġsp ared", + "Ġdiscontin ued", + "Ġcomput ational", + "ĠMotor ola", + "Ġsuprem acist", + "government al", + "Ġparad ise", + "ĠDown ing", + "ĠNik on", + "Ġcat alyst", + "ber ra", + "Tor onto", + "8 75", + "bet a", + "ĠMac ron", + "Ġunreal istic", + "ve ctor", + "ĠVeh icles", + "it iveness", + "ĠR V", + "ĠCol bert", + "s in", + "o ji", + "ent in", + "ĠKr ish", + "hell o", + "ff ield", + "ok y", + "ĠT ate", + "Ġmap le", + "Ġa ids", + "chem ical", + "33 4", + "n uts", + "ĠWar p", + "Ġx x", + "ĠRob b", + "umer ous", + "_- _", + "ft ime", + "ĠV W", + "Ġw inger", + "ĠD ome", + "t ools", + "ĠP V", + "ĠGe orgetown", + "Ġg eared", + "Ġjihad ists", + "Ġc p", + "Ġster oids", + "M other", + "cler osis", + "ĠDR M", + "nes ia", + "Ġl inger", + "Ġimm ersive", + "ĠC OUN", + "Ġoutwe igh", + "ens ual", + "B and", + "Ġtransform s", + "mat ched", + "ps ons", + "ĠJud icial", + "f actor", + "Ġrefer ral", + "Ġodd ly", + "ĠW enger", + "B ring", + "ĠB ows", + "60 2", + "IC LE", + "Ġl ions", + "ĠAcad emic", + "ĠTh orn", + "ĠRa ider", + "kef eller", + "St orage", + "L ower", + "ĠOr t", + "ĠEqu ality", + "AL T", + "ĠS OC", + "T ypes", + "Ġl yn", + "ĠAss et", + "co at", + "TP P", + "C VE", + "ĠPione er", + "app lication", + "Mod ern", + "ĠH K", + "En vironment", + "Al right", + "R ain", + "IP P", + "ĠShi ite", + "Ġm ound", + "ĠAb ilities", + "cond ition", + "St aff", + "Ġcompet ence", + "ĠM oor", + "ĠDi ablo", + "Ġwith held", + "Ġost ensibly", + "ĠB rom", + "Ġms g", + "Ġden omin", + "ĠRef erences", + "ĠF P", + "Ġplun ged", + "Ġp amph", + "m oving", + "cent ral", + "Ġdown right", + "Ġf ading", + "T al", + "T yp", + "ĠTh y", + "uk es", + "it he", + "Ġo ve", + "Ġbatt led", + "Ġseaf ood", + "Ġfig ur", + "ĠR D", + "c rop", + "Ġsqu ads", + "{ \\", + "à ¹", + "ĠE h", + "Ġinterview ing", + "ĠQ in", + "Ġas piring", + "PL IC", + "Ġcla uses", + "ĠG ast", + "ĠN ir", + "Ġl uggage", + "Ġh ose", + "Ġsystem d", + "Ġdesc ending", + "ĠRev ised", + "ĠR ails", + "al ign", + "70 9", + "33 7", + "Ġf ug", + "charg ing", + "t ags", + "Ġut er", + "k ish", + "WAR NING", + "49 0", + "prof its", + "Ġvoy age", + "Ġa ce", + "ĠV anguard", + "ĠT anks", + "ĠM uk", + "Ġ2 26", + "S afe", + "Ar mor", + "Ġvolcan ic", + "Ġwom b", + "ĠM IL", + "Ġbegin ner", + "ĠRec ogn", + "ĠA AP", + "PL AY", + ") !", + "Ġdetect ing", + "c n", + "Ġbre aches", + "Bas ically", + "ĠP ag", + "ĠMunicip al", + "ĠInd ie", + "ĠL af", + "ĠDis able", + "ĠOl son", + "Ġrest rained", + "Ġrul ings", + "Ġhum ane", + "ev ents", + "ĠCinem a", + "display Text", + "ĠH atch", + "action Date", + "onna issance", + "Ġassault ing", + "ĠL ug", + "CH AT", + "Ġvig orous", + "ĠPer se", + "Ġintoler ance", + "ĠSnap chat", + "ĠSh arks", + "Ġd ummy", + "ĠDi agn", + "ĠGu itar", + "im eters", + "40 3", + "RE G", + "A x", + "Ġsepar ates", + "ĠMah m", + "Ġt v", + "j ah", + "O OL", + "C irc", + "ĠWinds or", + "uss ian", + "Ġintu ition", + "Ġdis dain", + "ĠDon ovan", + "Ġ2 21", + "E mb", + "Ġcondem ning", + "Ġgener osity", + "zz y", + "Ġpant ies", + "ĠPre vent", + "Action Code", + "AN A", + "34 2", + "external ActionCode", + "Ġspec ifying", + "Ġcryst all", + "J ere", + "Ġru pt", + "ĠApp rentice", + "Ġprof iling", + "Ð º", + "St rike", + "Ġsid eline", + "Ġoblig ated", + "Ġocc ult", + "Ġbureaucr atic", + "ant ically", + "rupt ed", + "neg ative", + "ĠEthiop ia", + "ĠC ivic", + "Ġins iders", + "el igible", + "ĠTV s", + "ĠB AR", + "ĠT I", + "i ologist", + "ĠA IR", + "Ġsubstit uted", + "Ar ab", + "ĠS aul", + "ĠY og", + "p rem", + "Ġbuild ers", + "Ġstation ary", + "Ġdoubt ful", + "Ġvig orously", + "Ġthr illing", + "Ph ysical", + "ĠCare y", + "ĠHyd ra", + "geon ing", + "ĠS ly", + "y ton", + "Ġborrow ers", + "ĠPark inson", + "Ġ ë", + "ĠJama ica", + "Ġsat ir", + "Ġinsurg ents", + "ĠF irm", + "Ġis ot", + "ĠK arn", + "our ning", + "ak ens", + "doc s", + "l ittle", + "ĠMon aco", + "CL ASS", + "Tur key", + "L y", + "ĠCon an", + "ass ic", + "Ġstar red", + "ĠPac ers", + "et ies", + "Ġt ipping", + "M oon", + "ĠR w", + "s ame", + "Ġcav ity", + "Ġgo of", + "ĠZ o", + "Sh ock", + "um mer", + "Ġemphas izes", + "Ġreg rett", + "Ġnovel ty", + "Ġen vy", + "ĠPass ive", + "r w", + "50 5", + "Ġind ifferent", + "ĠR ica", + "ĠHim self", + "ĠFred die", + "Ġad ip", + "ä¸ Ģ", + "Ġbreak out", + "Ġhur ried", + "ĠHu ang", + "ĠD isk", + "Ġro aming", + "?????- ?????-", + "U V", + "ĠRick y", + "ĠS igma", + "Ġmarginal ized", + "Ġed its", + "Ġ30 4", + "mem ory", + "Ġspec imen", + "29 3", + "ãģ ¯", + "Ġvert ically", + "Ġaud ition", + "ĠHe ck", + "Ġc aster", + "ĠHold ings", + "ad al", + "ĠC ron", + "ĠL iam", + "Ġdef lect", + "P ick", + "ĠDeb ug", + "RE F", + "Ġvers atility", + "ot hes", + "class ified", + "ĠMah ar", + "ĠH ort", + "C ounter", + "st asy", + "not iced", + "33 1", + "ĠSh im", + "f uck", + "ĠB ie", + "Ġair ing", + "ĠPro tein", + "ĠHold ing", + "Ġspect ators", + "ili ated", + "ĠThat cher", + "n osis", + "ãĥ¼ ãĥ³", + "Te le", + "B oston", + "ĠTem pl", + "st ay", + "Ġdecl arations", + "47 9", + "Vol ume", + "ĠDesign er", + "ĠOver watch", + "id ae", + "Ġon wards", + "Ġn ets", + "ĠMan ila", + "part icularly", + "Ġpolit ic", + "o other", + "Ġport raits", + "Ġpave ment", + "c ffff", + "Ġs aints", + "Ġbegin ners", + "ES PN", + "Ġshort comings", + "âķIJ âķIJ", + "Ġcom et", + "ĠOrgan ic", + "qu el", + "Ġhospital ized", + "Bre ak", + "Ġpe el", + "dyl ib", + "asp x", + "ur ances", + "ĠT IM", + "P g", + "Ġread able", + "ĠMal ik", + "Ġm uzzle", + "Ġbench marks", + "d al", + "ĠV acc", + "ĠH icks", + "60 9", + "ĠB iblical", + "he ng", + "Ġover load", + "ĠCivil ization", + "Ġimm oral", + "Ġf ries", + "ãĤ Ĵ", + "Ġreprodu ced", + "Ġform ulation", + "j ug", + "ire z", + "g ear", + "Ġco ached", + "Mp Server", + "ĠS J", + "ĠK w", + "In it", + "d eal", + "ĠO ro", + "ĠL oki", + "ĠSong s", + "Ġ23 2", + "ĠLou ise", + "asion ally", + "Ġunc ond", + "olly wood", + "Ġprogress ives", + "ĠEn ough", + "ĠDo e", + "Ġwreck age", + "Ġbr ushed", + "ĠBase Type", + "Ġz oning", + "ish able", + "het ically", + "ĠC aucus", + "ĠH ue", + "Ġk arma", + "ĠSport ing", + "Ġtrad er", + "Ġseem ing", + "ĠCapt ure", + "4 30", + "b ish", + "Ġt unes", + "Ġindo ors", + "ĠSp here", + "ĠD ancing", + "TER N", + "Ġno b", + "ĠG ST", + "m aps", + "Ġpe ppers", + "F it", + "Ġoverse es", + "ĠRabb i", + "ĠR uler", + "vert ising", + "off ice", + "xx x", + "Ġra ft", + "Ch anged", + "Ġtext books", + "L inks", + "ĠO mn", + "ãĢ ij", + "Ġinconven ience", + "ĠDon etsk", + "= ~", + "Ġimplicit ly", + "Ġboost s", + "ĠB ones", + "ĠBo om", + "Cour tesy", + "Ġsens ational", + "AN Y", + "Ġgre edy", + "ed en", + "Ġinex per", + "ĠL er", + "ĠV ale", + "Ġtight en", + "ĠE AR", + "ĠN um", + "Ġancest or", + "S ent", + "ĠH orde", + "urg ical", + "all ah", + "Ġsa p", + "amb a", + "ĠSp read", + "tw itch", + "Ġgrand son", + "Ġfract ure", + "Ġmoder ator", + "ĠSe venth", + "ĠRe verse", + "Ġestim ation", + "Cho ose", + "Ġpar ach", + "Ġbar ric", + "ãĢ IJ", + "Ġcomp ass", + "Ġall ergic", + "âĢ ķ", + "OT HER", + "err illa", + "Ġw agon", + "Ġz inc", + "Ġrub bed", + "ĠFull er", + "ĠLuxem bourg", + "ĠHoo ver", + "Ġli ar", + "ĠEven ing", + "ĠCob b", + "est eem", + "Ġselect or", + "ĠB rawl", + "is ance", + "ĠE k", + "Ġtro op", + "Ġg uts", + "ĠApp eal", + "ĠTibet an", + "Ġrout ines", + "ĠM ent", + "Ġsummar ized", + "steam apps", + "Ġtr anqu", + "Ġ19 29", + "or an", + "ĠAut hent", + "Ġg maxwell", + "Ġappre hens", + "Ġpo ems", + "Ġsa usage", + "ĠWeb ster", + "ur us", + "Ġthem ed", + "Ġl ounge", + "Ġcharg er", + "Sp oiler", + "Ġsp illed", + "h og", + "ĠSu nder", + "ĠA in", + "ĠAng ry", + "Ġdis qual", + "ĠFrequ ency", + "ĠEther net", + "Ġhel per", + "Per cent", + "Ġhorr ifying", + "Ġa il", + "ĠAll an", + "EE E", + "ĠCross ing", + "44 9", + "Ġh olog", + "ĠPuzz les", + "ĠGo es", + "eren n", + "60 4", + "ãģ ı", + "ĠRaf ael", + "Ġatt en", + "ĠE manuel", + "Ġup ro", + "ĠSus p", + "P sych", + "ĠTr ainer", + "ĠN ES", + "ĠHun ts", + "bec ue", + "Ġcounsel or", + "R ule", + "Ġtox ins", + "Ġb anners", + "r ifice", + "Ġgreet ing", + "Ġfren zy", + "Ġall ocate", + "Ġ* )", + "ex pr", + "50 3", + "ĠCh ick", + "ĠT orn", + "Ġconsolid ation", + "ĠF letcher", + "sw itch", + "fr ac", + "cl ips", + "ĠMcK in", + "ĠLun ar", + "Mon th", + "IT CH", + "Ġscholar ly", + "rap ed", + "39 8", + "Ġ19 10", + "Ġe greg", + "Ġin secure", + "Ġvict orious", + "cffff cc", + "Ġsing led", + "Ġel ves", + "ĠW ond", + "bur st", + "Ġcam oufl", + "ĠBL ACK", + "Ġcondition ed", + "ç ī", + "ans wered", + "Ġcompuls ory", + "asc ist", + "Ġpodcast s", + "ĠFrank furt", + "bn b", + "Ġne oliberal", + "ĠKey board", + "ĠBel le", + "w arm", + "Ġtrust s", + "Ġins ured", + "ĠBu cc", + "us able", + "60 7", + "ĠPl ains", + "Ġ18 90", + "Ġsabot age", + "Ġlod ged", + "f elt", + "Ġg a", + "ĠN arc", + "ĠSal em", + "Ġsevent y", + "ĠBl ank", + "p ocket", + "Ġwhis per", + "Ġm ating", + "om ics", + "ĠSal man", + "ĠK ad", + "Ġan gered", + "Ġcoll isions", + "Ġextraord inarily", + "Ġcoerc ion", + "G host", + "b irds", + "è Ģ", + "k ok", + "Ġper missible", + "avor able", + "Ġpo inters", + "Ġdiss ip", + "ac i", + "Ġtheat rical", + "ĠCos mic", + "Ġforget ting", + "Ġfinal ized", + "å¤ §", + "y out", + "l ibrary", + "Ġbo oming", + "ĠBel ieve", + "ĠTe acher", + "ĠL iv", + "ĠGOOD MAN", + "ĠDomin ican", + "OR ED", + "ĠPart ies", + "Ġprecip itation", + "ĠSl ot", + "R oy", + "ĠComb ined", + "Ġinteg rating", + "Ġch rome", + "Ġintest inal", + "ĠRe bell", + "Ġmatch ups", + "Ġblock buster", + "ĠLore n", + "ĠLe vy", + "Ġpre aching", + "ĠS ending", + "ĠPur pose", + "ra x", + "f if", + "Ġauthor itative", + "ĠP ET", + "ast ical", + "Ġdish on", + "Ġchat ting", + "Ġ\"$ :/", + "Connect ion", + "Ġrecre ate", + "Ġdel inqu", + "Ġbro th", + "ĠD irty", + "ĠAd min", + "z man", + "Ġscholars hips", + "Ġ25 3", + "cont act", + "als a", + "7 67", + "c reen", + "abb age", + "Ġ19 15", + "Ġbl ended", + "Ġal armed", + "L anguage", + "35 6", + "Ġbl ends", + "ĠCh anged", + "W olf", + "Ġhe pat", + "Creat ing", + "Ġper secut", + "Ġsweet ness", + "art e", + "Ġforfe iture", + "ĠRober to", + "im pro", + "N FL", + "ĠMag net", + "Det ailed", + "Ġinsign ificant", + "ĠPOL IT", + "ĠBB Q", + "ĠC PS", + "Ġse aw", + "amin er", + "m L", + "end if", + "f inals", + "Ġ26 5", + "u ish", + "Ġ} )", + "ĠPro blems", + "Ġem blem", + "Ġserious ness", + "Ġpars ing", + "Ġsubst itution", + "Ġpress ured", + "Ġrecy cled", + "ale b", + "Rub y", + "Ġprof iciency", + "Dri ver", + "ĠW ester", + ": '", + "AF TA", + "Ġm antle", + "ĠClay ton", + "fl ag", + "Ġpractition er", + "c overed", + "ĠSt ruct", + "add afi", + "4 25", + "ĠTown ship", + "ĠHyd ro", + "Lou is", + "34 3", + "Ġcond o", + "ĠT ao", + "Ġutil ization", + "Ġnause a", + "ĠDem s", + "rid ges", + "p ause", + "Ġform ulas", + "Ġchall enger", + "37 6", + "Ġdefect ive", + "ĠRail way", + "ĠPub Med", + "Ġyog urt", + "l bs", + "ĠNor folk", + "OP E", + "ĠMood y", + "Ġdistribut or", + "Ġscroll s", + "Ġextract s", + "St an", + "Ġv iability", + "Ġexp oses", + "Ġstar vation", + "ĠStep s", + "ĠD odd", + "f ew", + "ST D", + "33 2", + "Ġclos ures", + "Ġcomplement ary", + "ĠS asha", + "ump y", + "Ġmon et", + "Ġartic ulate", + "ĠDo ct", + "k iller", + "Ġsc rim", + "Ġ2 64", + "Ġprost itutes", + "Ġse vered", + "Ġattach ments", + "Ġcool ed", + "L ev", + "ĠF alk", + "f ail", + "Ġpolic eman", + "ĠD ag", + "Ġpray ed", + "ĠK ernel", + "Ġcl ut", + "Ġc ath", + "Ġan omaly", + "St orm", + "em aker", + "ĠBreak fast", + "ul i", + "o ire", + "J J", + "h z", + "Oper ation", + "ĠS ick", + "35 4", + "ĠGuatem ala", + "R ate", + "Ġexp osures", + "f aces", + "ĠArch ae", + "ra f", + "ĠM ia", + "Ġ20 25", + "Ġop aque", + "Ġdisgu ised", + "ĠHead quarters", + "S ah", + "Ġp ots", + "9 78", + "ĠM alf", + "Ġfrown ed", + "Ġpoison ous", + "ĠCon vers", + "ee ks", + "Ġcr ab", + ".\" \"", + "Ġtre ason", + "Ġr anc", + "Ġescal ating", + "Ġwar r", + "Ġmob s", + "Ġl amps", + "ĠSun shine", + "ĠBrun swick", + "Ph ones", + "Ġspe lled", + "ĠSk ip", + "Ġ20 50", + "Ġ19 11", + "ĠPl uto", + "ĠAm end", + "Ġme ats", + "38 7", + "Ġst omp", + "ĠZh ou", + "ĠLevi athan", + "ĠHaz ard", + "ad v", + "ĠOr well", + "Ġal oud", + "Ġb umper", + "ĠAn arch", + "ub untu", + "ĠSer ious", + "f itting", + "ĠOption al", + "ĠCec il", + "RE AM", + "Ġser otonin", + "Ġcultiv ate", + "ag ogue", + "} \\", + "Ġmos ques", + "ĠSun ny", + "Ġre active", + "rev olution", + "ĠL up", + "ĠFed ora", + "Ġdefense man", + "ĠV ID", + "ist ine", + "Ġdrown ing", + "ĠBroad casting", + "Ġthr iller", + "ĠS cy", + "Ġacceler ating", + "Ġdirect s", + "od ied", + "b ike", + "d uration", + "Ġpain fully", + "R edd", + "Ġproduct ions", + "Ġg ag", + "Ġwh ist", + "Ġs ock", + "Ġinf initely", + "ĠConc ern", + "ĠCit adel", + "Ġlie u", + "Ġcand les", + "ogene ous", + "arg er", + "Ġheaven ly", + "inflamm atory", + "Per formance", + "C s", + "ruct ose", + "az aki", + "Ġp essim", + "Ġinf erence", + "Ġpow d", + "ĠZ oe", + "Ġpain ts", + "Ġd azz", + "pt a", + "-------- ---", + "Ġins pir", + "ĠExper imental", + "ĠKn ife", + "reg or", + "b ors", + "Ġshow ers", + "rom eda", + "Ġs aint", + "Ġben ign", + "ĠJ iang", + "Ġenvision ed", + "Ġsh roud", + "IF T", + "H O", + "Ġsh uff", + "ĠI CC", + "Ġse greg", + "Ġrevis it", + "ighth ouse", + "L i", + "Ġsub strate", + "ĠSe as", + "ĠRew ard", + "ĠH ep", + "ĠBr ass", + "s bm", + "Ġelim inates", + "Ġst amina", + "ĠV AT", + "ĠLo an", + "Ġconst raint", + "Ġappropri ated", + "Ġp es", + "ĠA LE", + "r anging", + "Ġ40 4", + "39 2", + "Ġintellectual s", + "ach u", + "Ġrestruct uring", + "ĠLe vin", + "Ġrun es", + "Ġdelight ful", + "Ġcarbohyd rates", + "ĠMod els", + "ĠExp o", + "Ġtransport ing", + "all oc", + "Ġring ing", + "S amsung", + "Ġscarce ly", + "ĠURL s", + "ĠM AS", + "Ġprot otypes", + "Ġnarr ator", + "ĠCPU s", + "cd n", + "ĠBart on", + "Ġdecided ly", + "ĠSh u", + "ix ir", + "oc ious", + "ĠMy st", + "N intendo", + "Ġre use", + "Ġforg iven", + "F ew", + "in ical", + "n at", + "Ġseam less", + "ĠEv a", + "ĠE VE", + "ĠJ O", + "land ers", + "Ġso fter", + "neg ie", + "Ġtrans ient", + "Ġorb ital", + "Ġfulf il", + "ĠK om", + "Hop efully", + "Ġdynam ically", + "ĠHun ger", + "å Ľ", + "ĠArmen ia", + "el man", + "ber to", + "Ġp ige", + "ĠID s", + "lim it", + "Ġve ins", + "Ġso aring", + "p acks", + "Gold en", + "ĠCr ab", + "ist or", + "ĠR PM", + "Ġ$ $", + "g ression", + "Ġjihad ist", + "Ġgam ble", + "Ġcare g", + "Ġinf lated", + "F ace", + "ĠFire arms", + "ĠEm manuel", + "â Ŀ", + "Ġsh ocks", + "gr ab", + "Ġspl end", + "ĠHP V", + "ab ortion", + "Ab ove", + "Ent ity", + "play ers", + "Ġcomm enced", + "ul ence", + "Ġfulfill ment", + "Ġembod iments", + "ĠW elfare", + "Ġha il", + "Ġ< @", + "tt en", + "Ġcat cher", + "ĠJ azeera", + "Ġvolcan o", + "Ġstabil ize", + "ĠHand ler", + "Ġintens ified", + "ĠAb rams", + "Ġhum iliation", + "p aced", + "60 5", + "ĠCent OS", + "Spe cific", + "Ġhe ed", + "ĠC AM", + "ĠGal ile", + "D ie", + "Ġabol ished", + "ĠThom son", + "ĠTe achers", + "ĠW ass", + "j ong", + "ĠIS BN", + "ĠAll ies", + "sh ake", + "å ·", + "v ict", + "How ard", + "Ġde em", + "Ġexceed ingly", + "ĠSmart stocks", + "ib e", + "Ġdoor way", + "Ġcompet ed", + "ig mat", + "Ġnational ists", + "Ġg room", + "ĠKe en", + "Ġdispos able", + "de cl", + "ĠT olkien", + "ĠSche me", + "Ġb iod", + "Ġav id", + "ĠEl on", + "ag ar", + "ĠT SA", + "R oman", + "Ġartific ially", + "Ġadvis ors", + "X L", + "ĠInf erno", + "36 6", + "Ġted ious", + "ĠPhot ography", + "ĠCar rie", + "Ġtro pe", + "ĠSand ra", + "Ġdec imal", + "Que en", + "ĠGund am", + "ĠO M", + "ote ch", + "N BA", + "Ġ19 32", + "Ġent renched", + "ĠMar ion", + "Ġfr aternity", + "Lab our", + "Hen ry", + "Ġlat itude", + "E ither", + "Ġenh ances", + "ĠPot ential", + "Ġsh ines", + "id ad", + "Ġbread th", + "Ġcapac ities", + "ĠðŁ ĻĤ", + "ĠBron x", + "Ġsex es", + "Ġdifferent iation", + "Ġheavy weight", + "ĠT aj", + "d ra", + "Ġmigr ate", + "Ġexhaust ion", + "ĠR UN", + "els ius", + "ĠCu omo", + "Ġgu itars", + "Ġcl ones", + "ĠSom ew", + "ĠP ry", + "------------ -", + "Ġwarr anted", + "cy cles", + "Ġsalv age", + "Ġdis ks", + "R ANT", + "ĠNGO s", + "ĠMart ian", + "\":[ {\"", + "Ġadd icts", + "oj ure", + "il let", + "Ġamazing ly", + "art ments", + "p ixel", + "ĠGPU s", + "Lay out", + "è £", + "ĠTam il", + "ĠBas il", + "Ġimpart ial", + "ĠSt ructure", + "f ork", + "b ryce", + "Ġr idge", + "ĠHamb urg", + "ri ous", + "Ġbl itz", + "cig arettes", + "Ġcan ned", + "40 2", + "Ġiron ically", + "Ġcompassion ate", + "ĠHaw kins", + ". #", + "ĠCat hedral", + "Ġrall ied", + "in ternal", + "Ġqu ota", + "st akes", + "T EXT", + "m om", + "Ġcomple tes", + "Ġ23 8", + "Ġsh rug", + "ãĥ ij", + "ĠN inth", + "Ġrev ise", + "ĠProv ider", + "Ġtre acher", + "Ġqu asi", + "ĠPR ES", + "Ġdep osition", + "Ġconfidential ity", + "iss ors", + "Ġim balance", + "Ġspan ning", + "Ġang ular", + "ĠC ul", + "commun ication", + "ĠNor a", + "ĠGen ius", + "op ter", + "Ġs acked", + "Sp ot", + "Ġfine ly", + "ĠCH R", + "28 2", + "w aves", + "Pal est", + "ĠRo hing", + "N L", + "è ¿", + "Ġsh itty", + "ĠSc alia", + "4 75", + "Pro gress", + "Ġreferen cing", + "Ġclass rooms", + "ab ee", + "Ġs od", + "hes ion", + "70 8", + "ĠZucker berg", + "ĠFin ish", + "ĠScot ia", + "ĠSav ior", + "ĠInstall ation", + "an tha", + "( -", + "Ġ30 2", + "ĠP unk", + "Ġcr ater", + "yout u", + "Ġro ast", + "Ġinflu encing", + "Ġd up", + "ĠJ R", + "ĠG rav", + "Ġstat ure", + "Ġbath rooms", + "A side", + "W iki", + "me an", + "ĠZ ak", + "ĠOn es", + "ĠN ath", + "Ġhyper t", + "Ġcommence ment", + "C ivil", + "Ġmoder ately", + "Ġdistribut ors", + "Ġbreast feeding", + "Ġ9 80", + "ĠS ik", + "ĠC ig", + "ĠAM ER", + "R IP", + "ĠCare er", + "ust ing", + "Ġmess ed", + "Ġe h", + "ĠJ ensen", + "/ $", + "Ġblack mail", + "Ġconvers ions", + "Ġscientific ally", + "Ġmant ra", + "p aying", + "Ġiv ory", + "ĠCour ts", + "OU GH", + "aunt let", + "Ser ial", + "B row", + "ĠH undreds", + "3 23", + "Ġpe e", + "Ġlin ux", + "Ġsub mer", + "ĠPrinc ipal", + "48 5", + "ĠD SL", + "ĠCous ins", + "Ġdoctr ines", + "ĠAthlet ics", + "Ġ3 15", + "ĠK arma", + "Ġatt ent", + "ur ger", + "Ġpresc ribe", + "Ġenc aps", + "ĠC ame", + "Ġsecret ive", + "ĠCr imes", + "d n", + "C lean", + "ĠEgypt ians", + "ĠCar penter", + "Ġ ll", + "H um", + "ĠMil o", + "Ġcapital ists", + "Ġbrief ed", + "T we", + "ĠBas in", + "elve t", + "M os", + "Ġplun ge", + "ĠKa iser", + "ĠFu j", + "ill in", + "Ġsafegu ards", + "Ġo ste", + "ĠOpportun ity", + "ĠM afia", + "ĠCall ing", + "ap a", + "ur ban", + "br ush", + "ill ard", + "c é", + "int elligence", + "ĠL ob", + "ĠDru id", + "Ġsm oother", + "Ġfoot ing", + "Ġmotor ists", + "arc ity", + "Ġmascul inity", + "Ġm ism", + "Ġabdom inal", + "ĠTa vern", + "ĠR oh", + "Ġesc apes", + "s igned", + "Anth ony", + "Ġsacrific ing", + "Ġintim acy", + "Ġan terior", + "ĠK od", + "Ġmot if", + "Ġg raz", + "Ġvisual ization", + "Ġguitar ist", + "ĠTro tsky", + "m agic", + "D ar", + "ĠMor i", + "Ġw ards", + "Ġtoile ts", + "l est", + "Ġtele port", + "ĠSund ays", + "ĠPl at", + "ET S", + "Ġe Sports", + "Pat rick", + "ĠK atherine", + "en ko", + "Ġhas sle", + "ĠM ick", + "gg les", + "Ġh ob", + "aint ain", + "Ġair borne", + "Ġsp ans", + "Ġch ili", + "Ġa perture", + "Ġvolunte ered", + "ĠInc ident", + "ĠF res", + "ĠVeter an", + "augh tered", + "ing o", + "Ġun insured", + "CL OSE", + "Ġf use", + "Ġer otic", + "Ġadvert ise", + "ra ising", + "Text ure", + "Ġatt ends", + "ĠRE AL", + "udd led", + "Ġsm oot", + "Ġ30 5", + "ĠWill is", + "Ġbl ond", + "An alysis", + "ĠV T", + "on ica", + "Ġstrongh old", + "R F", + "N M", + ". >>", + "Ġprosper ous", + "Ġbo asted", + "29 2", + "ĠManufact uring", + "PR ESS", + "g ren", + "Ġpharm acy", + "ĠRoc kefeller", + "k ai", + "Ġth umbs", + "ĠH ut", + "Ġmother board", + "Ġguard ians", + "ĠAl ter", + "ll ular", + "Ġsh ack", + "Ġwise ly", + "Ġback bone", + "erv a", + "Ġsu icides", + "ĠMcG regor", + "ij ah", + "E mer", + "ĠB rav", + "Ġdesign ate", + "P OST", + "produ ced", + "Ġcleans ing", + "irl wind", + "ex istent", + "ĠHum ph", + "ĠPay ne", + "Ġv ested", + "Å ¡", + "Ġstring ent", + "ion a", + "Ġuns ub", + "Ġsum med", + "ĠHer cules", + "sub ject", + "ĠR agnar", + "ĠN os", + "Ġcharacter ization", + "Ġsav vy", + "ĠDaw son", + "ĠCas ino", + "Ġf ri", + "ĠBar rier", + "Ġmis information", + "Ġins ulation", + "Ġcorrid ors", + "Ġair planes", + "ĠNo ct", + "ah i", + "Ġ19 16", + "k b", + "arm ac", + "Ġsh un", + "Ġsche ma", + "Ġhorr ified", + "Ġ23 9", + "aund ers", + "N B", + "i ates", + "er ity", + "ĠSh ard", + "Ġr arity", + "Ġgroup ed", + "ĠGh ana", + "again st", + "ĠBi ological", + "ĠA ware", + "ow ell", + "Ï Ħ", + "ĠBe au", + "sh aw", + "H ack", + "ĠJul ius", + "US S", + "ol son", + "aun a", + "c ru", + "ĠMaur ice", + "ĠI k", + "Ġsequ encing", + "Ġradical s", + "Ġ( ?,", + "v irtual", + "Ġany ways", + "Ġreper c", + "Ġhand lers", + "Ġhes itant", + "é ĥ", + "ĠM F", + "ple mentation", + "ass ociated", + "Ġcampaign ed", + "ĠY ue", + "ut ations", + "ĠY oga", + "Ġsim mer", + "Ġro ds", + "Ġmel ody", + "Ġconv oy", + "v ideos", + "Ġscreen ed", + "N eg", + "ochem ical", + "Ġ( ))", + "Ġultr as", + "Ġant ip", + "ĠIsland ers", + "70 4", + "Ġfet ish", + "Ġridic ulously", + "ĠK art", + "Ġmitochond rial", + "Ġinterf ering", + "Build er", + "Ġover fl", + "Ġac ne", + "ĠM ud", + "ĠK err", + "f lex", + "ĠPost al", + "ĠBalt ic", + "47 7", + "ĠPers ons", + "our age", + "H B", + "ĠM use", + "ĠImm ortal", + "ĠDri ving", + "Ġpet itions", + "Ġsubsc ript", + "Ġs orce", + "ĠProcess or", + "ut on", + "S ony", + "Ġph on", + "Ġr aced", + "ĠAnth rop", + "Ġday time", + "ĠEx ercise", + "Add ing", + "Ġeng ages", + "ĠQual comm", + "Ġmir acles", + "Ġmem es", + "ĠDr ink", + "ĠOri oles", + "Ġhair s", + "ĠPol ar", + "ath om", + "Ġsl ippery", + "ĠR emy", + "Ġcar amel", + "ĠY EAR", + "Ġal k", + "I gn", + "a ution", + "ĠMer lin", + "ĠC ran", + "Ġap ologies", + "Ġ4 10", + "Ġout ing", + "ĠMem ories", + "app ointed", + "Ġcount ered", + "u ld", + "pos ing", + "Ġfire wall", + "ĠW ast", + "ĠW et", + "work ed", + "se ller", + "Ġrepe aled", + "ere o", + "ass uming", + "BL IC", + "m ite", + "ĠCEO s", + "ĠChap el", + "ellig ent", + "________________ ________", + "D og", + "Ġw art", + "Ġsubsc riber", + "s ports", + "Ġbe gged", + "ĠM V", + "Ġsem if", + "eth ical", + "Ġpre ach", + "Ġrev ital", + "Ġpun itive", + "Ġshort cuts", + "Ġinstit uted", + "ĠWars aw", + "Ġabdom en", + "ĠK ING", + "Ġsuper intendent", + "Ġf ry", + "ĠGe o", + "T OR", + "Ġcontrad ictions", + "apt ic", + "Ġlandsc apes", + "b ugs", + "Ġcl ust", + "Ġvol ley", + "c ribed", + "Ġt andem", + "Ġrob es", + "WH AT", + "Ġpromot er", + "Ġel oqu", + "review ed", + "ĠD K", + "ĠPl ato", + "Ġf ps", + "T ank", + "ĠDer rick", + "Ġpriorit ize", + "as per", + "ĠHond uras", + "ĠCom pleted", + "ne c", + "Ġm og", + "n ir", + "ĠMay o", + "DE F", + "st all", + "in ness", + "ĠVolks wagen", + "Ġprec aution", + "ĠM ell", + "i ak", + "ist ries", + "Ġ24 8", + "Ġoverl apping", + "Sen ate", + "ĠEnh ance", + "res y", + "rac ial", + "OR TS", + "ĠM ormons", + "Str ong", + "ĠCo ch", + "Mex ico", + "ĠMad uro", + "Ġj ars", + "Ġcan e", + "W ik", + "oll a", + "iff erence", + "Ġphysic ist", + "ĠMag gie", + "Ġ28 5", + "Ġdep iction", + "ĠMcL aren", + "J u", + "Ġsl ows", + "Ġcommission ers", + "ĠWill ow", + "ĠExpl os", + "hov ah", + "Ġtechn ician", + "Ġhom icides", + "ĠFl av", + "ĠTr uman", + "Ġ100 00", + "u ctor", + "Ġsh ader", + "News letter", + "45 7", + "Ġre ver", + "Ġhard ened", + "Ġwhere abouts", + "Ġrede velop", + "Ġcar bs", + "Ġtra vers", + "Ġsqu irrel", + "Ġfoll ower", + "Ġs ings", + "50 8", + "Ġrabb its", + "emon ium", + "Ġdocument ing", + "Ġmisunder stood", + ") '", + "R ick", + "gg ies", + "Ġprem ie", + "Ġsk ating", + "Ġpass ports", + "Ġf ists", + "aged don", + "H aw", + "AC P", + "0 80", + "ĠThough ts", + "ĠCarl son", + "Ġpriest hood", + "h ua", + "Ġdun geons", + "ĠLo ans", + "Ġant is", + "Ġfamiliar ity", + "ĠS abb", + "op al", + "ĠIn k", + "st rike", + "Ġc ram", + "Ġlegal ized", + "Ġcu isine", + "Ġfib re", + "Tra vel", + "ĠMon ument", + "OD Y", + "eth y", + "Ġinter state", + "ĠP UR", + "em porary", + "ĠArab ian", + "develop ed", + "Ġsadd le", + "Ġg ithub", + "ĠOff er", + "ĠIS P", + "ro let", + "ĠSUP ER", + "ĠDen is", + "Ġmultipl ier", + "Ġstir red", + "Interest ingly", + "Ġcustom ary", + "Ġbill ed", + "he x", + "Ġmultipl ied", + "Ġfl ipping", + "ĠCros by", + "Ġfundament als", + "ia e", + "ĠPlay ed", + "ĠAt om", + "am azon", + "ĠFl am", + "ee z", + "activ ated", + "Ġtables poon", + "Ġliberal ism", + "ĠPal in", + "ĠP atel", + "N um", + "ĠT AM", + "Ġs urn", + "ĠRel oaded", + "Ġco ined", + "\" ],", + "ĠCl ash", + "ĠAg u", + "Ġprag matic", + "ĠActiv ate", + "Ġ8 02", + "Ġtrail ers", + "Ġsil hou", + "Ġprob es", + "Ġcirc us", + "ĠB ain", + "ĠLind say", + "ĠAb bey", + "Del ivery", + "Ġconcess ion", + "Ġgast ro", + "ĠSpr ite", + "Ä Ł", + "and el", + "Ġg imm", + "Ġaut obi", + "ĠT urtle", + "Ġwonder fully", + "ĠHar am", + "ĠWorld wide", + "ĠHand le", + "Ġtheor ists", + "Ġsle ek", + "ĠZh u", + "ograph ically", + "EG A", + "ĠOwn ers", + "ath s", + "ĠAntar ctic", + "n atal", + "=\" \"", + "fl ags", + "`` ``", + "Ġs ul", + "K h", + "Ġpot assium", + "Ġlinem an", + "Ġcere al", + "ĠSe asons", + "Ġ20 22", + "Ġmat hematic", + "Ġastron omers", + "prof essional", + "Ġf ares", + "cknow led", + "Ġch i", + "Ġyoung sters", + "Ġmistaken ly", + "Ġhem isphere", + "ĠDiv inity", + "r one", + "Ġ\" ,", + "r ings", + "Ġattract s", + "v ana", + "å ¹", + "C AP", + "Ġplay list", + "Ġpor ch", + "ãģ £", + "Ġincorpor ates", + "Ġso ak", + "Ġassert ing", + "ĠTerror ism", + "ĠP ablo", + "J a", + "ces ter", + "Ġfear ing", + "ĠPr ayer", + "Ġescal ated", + "G W", + "Ġro be", + "ĠBright on", + "ac ists", + "ĠSym phony", + "ĠDwar f", + "ĠPar ade", + "ĠLe go", + "Ġinex pl", + "Ġl ords", + "le af", + "RA G", + "l iber", + "Ġcig ars", + "ĠJe hovah", + "60 6", + "WIND OWS", + "ĠLiber ia", + "eb us", + "He avy", + "Ġl ubric", + "ĠR W", + "angu ages", + "Ġnarrow ed", + "com puter", + "ĠE mber", + "Ġmurder ing", + "Ġdown stream", + "ĠT uls", + "ĠT ables", + "Top ic", + "ĠAcc uracy", + "= /", + "l ost", + "ĠRe i", + "Ġprogress es", + "b ear", + "Ġestablish ments", + "Just in", + "ĠPe ach", + "ĠG omez", + "å ¿", + "ĠTri angle", + "Id ent", + "ĠH ive", + "Res ources", + "Ġmix es", + "ĠAss uming", + "M u", + "Ġhyp oc", + "Ġs ane", + "ĠW an", + "id ious", + "Su ccess", + "Ġ io", + "Ang el", + "Ġdanger ously", + "ĠCreat ure", + "W ORK", + ": [", + "ĠKat rina", + "List ener", + "M iller", + "ĠId lib", + "h ang", + "Ġcircum vent", + "h ref", + "Ġcel estial", + "ĠWe eks", + "ĠP ug", + "ĠDal ton", + "Ġsubpoen a", + "uk u", + "Ġpers isted", + "pe i", + "old ing", + "ĠDoc uments", + "ĠH ast", + "ĠC ENT", + "Ġprim er", + "Ġsyn onymous", + "Ġn ib", + "om bs", + "Ġnot ation", + "ĠD ish", + "ĠAt mosp", + "Ġforb id", + "ĠAN G", + "pat tern", + "l os", + "Ġproject iles", + "b rown", + ".\" ,", + "ĠVen om", + "Ġfierce ly", + "ub lished", + "ĠU ran", + "ĠNic arag", + "4 10", + "ĠC AL", + "OT OS", + "ĠMir acle", + "ĠEn chant", + "Ġguard ing", + "app end", + "Att ach", + "Ġlevel ed", + "Ġcond oms", + "ih ilation", + "64 9", + "Ġnight mares", + "ĠTHE Y", + "ĠST ART", + "ĠK inn", + "Ġroomm ate", + "Ġhy giene", + "o pping", + "J ob", + "Ġl vl", + "ĠV ER", + "ĠKe eping", + "ab etic", + "Ġformat ting", + "eral a", + "Ġrev isions", + "Ġres urg", + "T el", + "ĠGood man", + "35 3", + "p od", + "Ġind isp", + "ĠTrans lation", + "Ġg own", + "ĠM und", + "Ġc is", + "Ġby stand", + "col lect", + "ĠPun jab", + "act ively", + "ĠG amb", + "te ll", + "Ġimport ing", + "g encies", + "Ġloc om", + "ĠBr ill", + "H oly", + "ĠBer ger", + "Ġshow down", + "Ġrespond ers", + "IL Y", + "Ġt akedown", + "le ted", + "Ġmat tered", + "Ġpredict ive", + "Ġover lay", + "G PU", + "ĠV ick", + "Ġconvey ed", + "T ab", + "pe er", + "Sc an", + "Ġdefensive ly", + "v ae", + "Ġappro ving", + "Ġt iers", + "ĠV ia", + "quer ade", + "ĠSaud is", + "Ġdemol ished", + "ĠProp he", + "Ġmon o", + "Ġhospital ity", + "H AM", + "ĠAri el", + "M OD", + "ĠTor ah", + "Ġbl ah", + "ĠBel arus", + "erent ial", + "ĠT uc", + "Ġbank er", + "39 7", + "Ġmosqu it", + "ĠScient ist", + "ĠMus ical", + "Ġh ust", + "Sh ift", + "Ġtor ment", + "Ġstand off", + "E duc", + "ĠF og", + "Ġampl ifier", + "Sh ape", + "Inst ance", + "ĠCrit ics", + "Ġda emon", + "H ouston", + "Ġmatt ress", + "ĠID F", + "Ġobsc ene", + "ĠA mer", + "hett i", + "Ġcomp iling", + "35 2", + "vere tt", + "ĠRed uction", + "ist ration", + "ĠBl essed", + "ĠB achelor", + "3 16", + "Ġpr ank", + "ĠVul can", + "dd ing", + "Ġm ourning", + "ĠQu int", + "ĠBl aster", + "test ing", + "Ġsed iment", + ">> >", + "ĠE ternity", + "ĠWH ERE", + "ĠM aze", + "Ġreact ing", + "ĠAl v", + "oms day", + "ĠC RA", + "Ġtransl ator", + "Ġbog us", + "at u", + "We bsite", + "oll s", + "Ġbapt ism", + "Ġs ibling", + "ĠAut umn", + "ve z", + "ãģ® é", + "gu ards", + "Ge org", + "assad ors", + "ĠFre ud", + "Ġcontin ents", + "ĠReg istry", + "Bern ie", + "ĸļ 士", + "Ġtoler ant", + "ĠU W", + "Ġhor ribly", + "99 5", + "ĠMID I", + "Ġimpat ient", + "oc ado", + "er i", + "ĠWor st", + "ĠNor ris", + "ĠTalk ing", + "Ġdef ends", + "ens able", + "Ġ20 21", + "Ġanat omy", + "L ew", + "Ġdraw er", + "ĠCan berra", + "Ġpatri otic", + "é¾įå ĸļ士", + "ĠAv g", + "AR M", + "Ġundis closed", + "Ġfare well", + "45 9", + "b able", + "ĠAll ison", + "OL OG", + "Ġcon co", + "t ight", + "ĠAC PI", + "ĠM ines", + "l ich", + "ĠâĶ ľ", + "represent ed", + "200 000", + "Ġenthusi ast", + "OT S", + "b il", + "ĠIng redients", + "Ġinvent or", + "ĠMy SQL", + "³³ Âł", + "ĠAB OUT", + "with in", + "Ġm k", + "B ul", + "ĠF ake", + "Ġdracon ian", + "W a", + "hel m", + "ĠTer ran", + "erv ille", + "Ġcommon place", + "SI ZE", + "Ġ\" <", + "re place", + "ograph s", + "ĠSE LECT", + "inc ible", + "ĠMost ly", + "ĠShe ffield", + "ĠID E", + "ugg le", + "Ġcit ations", + "h urst", + "ĠUn ix", + "Ġunle ash", + "ĠP iper", + "ĠN ano", + "Ġsucc umb", + "Ġreluct ance", + "Ġ25 00", + "ĠMer chant", + "Ġwire t", + "Ġcomb os", + "ĠBirth day", + "Ġchar coal", + "ĠU PS", + "ĠFair fax", + "Ġdrive way", + "ĠT ek", + "ĠP itch", + "ove re", + "Ġtechn icians", + "ĠAct ual", + "fl ation", + "ĠF iscal", + "ĠEm pty", + "an amo", + "Ġmag nesium", + "Ġsl ut", + "Ġgrow ers", + "Invest igators", + "( ):", + "ĠS atellite", + "ĠKe ynes", + "miss ive", + "l ane", + "Ġb orough", + "3 44", + "ĠTE AM", + "ĠBet hesda", + "C V", + "h ower", + "ĠR AD", + "Ġch ant", + "ĠR iy", + "Ġcompos itions", + "Ġmild ly", + "Ġmedd ling", + "Ġag ility", + "ane ers", + "5 01", + "Ġsyn th", + "ling er", + "29 1", + "Ġex claimed", + "Part y", + "Ġcont amin", + "ĠMan or", + "ĠResp ond", + "Ġpra ising", + "Ġman ners", + "fle et", + "Sum mer", + "ĠLy nd", + "ĠDef initely", + "gr im", + "Ġbow ling", + "st ri", + "ç Ľ", + "y nt", + "Ġmand ates", + "D IV", + "Ġreconc ile", + "view s", + "ĠDam on", + "vet te", + "F lo", + "ĠGreat est", + "il on", + "ic ia", + "Ġportray al", + "Ġcush ion", + "50 4", + "19 79", + "oss al", + "App lic", + "sc ription", + "Ġmit igation", + "AT S", + "p ac", + "Ġer ased", + "Ġdefic iencies", + "ĠHolland e", + "ĠX u", + "Ġb red", + "Ġpregn ancies", + "f emin", + "Ġem ph", + "Ġpl anners", + "Ġout per", + "utter ing", + "Ġperpet rator", + "Ġm otto", + "ĠEll ison", + "ĠNE VER", + "Ġadmitted ly", + "AR I", + "ĠAzerbai jan", + "Ġmill isec", + "Ġcombust ion", + "ĠBott le", + "ĠL und", + "ĠP s", + "ĠD ress", + "Ġfabric ated", + "Ġbat tered", + "Ġs idel", + "ĠNot ting", + "Fore ign", + "ĠJer ome", + "0 20", + "ĠAr bit", + "Ġkn ots", + "ĠR IGHT", + "M oving", + "ãģ Ļ", + "Ġsur geries", + "Ġcour thouse", + "Ġm astered", + "Ġhover ing", + "ĠBr an", + "ĠAl ison", + "Ġsaf est", + "m ilitary", + "Ġbull ied", + "Ġbar rage", + "Read er", + "ES E", + "ĠGe ographic", + "T ools", + "3 14", + "ĠGe ek", + "ro th", + "gl ers", + "ĠF IN", + "Ï ģ", + "ĠA ston", + "al tern", + "48 8", + "Ġveter in", + "G amer", + "Ġint el", + "ren ches", + "Sh ield", + "Ġam nesty", + "ĠB har", + "Ġp iled", + "Ġhonor able", + "ĠInst itutes", + "Ġso aked", + "Ġcom a", + "ĠE FF", + "34 1", + "by tes", + "ĠG mail", + "le in", + "ĠCanad iens", + "m aterial", + "I l", + "Ġinstruct ors", + "ĠK Y", + "Ġconce ive", + "ub b", + "ĠP ossible", + "Ġeas ing", + "ĠChrist ina", + "Ġcar ic", + "ĠHD R", + "R OM", + "Ġsho vel", + "de lete", + "Ġp uff", + "ĠCh anging", + "Ġseam lessly", + "Att ribute", + "Ġacqu isitions", + "ak ery", + "ĠE F", + "Ġaut istic", + "ĠT akes", + "ĠPow der", + "ĠSt ir", + "5 10", + "ĠBub ble", + "sett ings", + "ĠF owler", + "Ġmust ard", + "Ġmore over", + "Ġcopyright ed", + "ĠLED s", + "15 00", + "æ ī", + "ĠH IS", + "en f", + "Ġcust od", + "ĠH uck", + "G i", + "Ġim g", + "An swer", + "C t", + "j ay", + "ĠInf rastructure", + "Ġfeder ally", + "L oc", + "Ġmicro bes", + "Ġover run", + "dd s", + "ot ent", + "adi ator", + ">>>> >>>>", + "Ġtorn ado", + "Ġadj ud", + "Ġintrig ued", + "Ġs i", + "ĠRevel ation", + "pro gress", + "Ġburgl ary", + "ĠSai yan", + "ĠK athy", + "Ġser pent", + "ĠAndre as", + "Ġcomp el", + "ess ler", + "ĠPl astic", + "ĠAd vent", + "ĠPos itive", + "ĠQ t", + "ĠHind us", + "reg istered", + "ular ity", + "Ġrighteous ness", + "Ġdemon ic", + "u itive", + "ĠB DS", + "ĠGre gg", + "c ia", + "ĠCrus ade", + "ĠSina i", + "W ARE", + "+ (", + "Ġme ll", + "Ġder ail", + "y ards", + "A st", + "Ġnotice ably", + "ĠO ber", + "R am", + "Ġun noticed", + "Ġse q", + "av age", + "T s", + "Ġ6 40", + "Ġconced e", + "Ġ] )", + "F ill", + "Ġcapt ivity", + "ĠImprove ment", + "ĠCrus ader", + "ara oh", + "M AP", + "æ Ĺ", + "Ġstr ide", + "al ways", + "F ly", + "N it", + "Ġal gae", + "ĠCook ing", + "ĠDo ors", + "Mal ley", + "Ġpolic emen", + "ãģ į", + "Ġastron aut", + "access ible", + "49 5", + "ĠR AW", + "cl iffe", + "udic rous", + "Ġdep ended", + "al ach", + "Ġvent ures", + "ra ke", + "Ġt its", + "ĠH ou", + "Ġcond om", + "ormon al", + "Ġind ent", + "Ġupload ing", + "Foot note", + "Import ant", + "Ġ27 1", + "Ġmind ful", + "Ġcont ends", + "C ra", + "Ġcal ibr", + "ĠO ECD", + "plug in", + "F at", + "ĠIS S", + "ĠDynam ics", + "ans en", + "68 6", + "' ),", + "Ġsp rite", + "Ġhand held", + "ĠH ipp", + "=~ =~", + "Tr ust", + "Ġsem antics", + "ĠBund es", + "ĠRen o", + "ĠLiter ature", + "s ense", + "G ary", + "ĠA eg", + "ĠTr in", + "EE K", + "Ġcler ic", + "ĠSS H", + "Ġch rist", + "Ġinv ading", + "ib u", + "Ġen um", + "aur a", + "Ġal lege", + "ĠInc redible", + "B BC", + "Ġth ru", + "Ġsa iled", + "Ġem ulate", + "Ġin security", + "Ġc rou", + "Ġaccommod ations", + "Ġincompet ent", + "Ġsl ips", + "ĠEarth qu", + "s ama", + "IL LE", + "Ġi Phones", + "as aki", + "Ġby e", + "Ġar d", + "Ġext ras", + "Ġsl aughtered", + "Ġcrowd funding", + "res so", + "Ġfil ib", + "ĠER ROR", + "ĠT LS", + "e gg", + "ĠIt al", + "Ġen list", + "ĠCatal onia", + "ĠSc ots", + "Ġser geant", + "Ġdiss olve", + "N H", + "Ġstand ings", + "ri que", + "I Q", + "Ġbenef iciary", + "Ġaqu arium", + "You Tube", + "ĠPower Shell", + "Ġbright est", + "ĠWar rant", + "S old", + "Writ ing", + "Ġbegin nings", + "ĠRes erved", + "ĠLatin os", + "head ing", + "Ġ4 40", + "Ġrooft op", + "AT ING", + "Ġ3 90", + "VP N", + "G s", + "k ernel", + "turn ed", + "Ġprefer able", + "Ġturn overs", + "ĠH els", + "S a", + "ĠShin ji", + "ve h", + "ĠMOD ULE", + "V iol", + "Ġex iting", + "Ġj ab", + "ĠVan illa", + "Ġac ron", + "ĠG ap", + "ber n", + "A k", + "ĠMc Gu", + "Ġend lessly", + "ĠFar age", + "ĠNo el", + "V a", + "M K", + "Ġbr ute", + "ĠK ru", + "ĠES V", + "ĠOl ivia", + "âĢ ł", + "ĠK af", + "Ġtrust ing", + "Ġh ots", + "3 24", + "Ġmal aria", + "Ġj son", + "Ġp ounding", + "ort ment", + "Count ry", + "Ġpostp oned", + "Ġunequ iv", + "? ),", + "ĠRo oney", + "udd ing", + "ĠLe ap", + "ur rence", + "sh apeshifter", + "ĠH AS", + "os ate", + "Ġca vern", + "Ġconserv atism", + "ĠB AD", + "Ġmile age", + "Ġarrest ing", + "V aults", + "Ġmix er", + "Dem ocratic", + "ĠB enson", + "Ġauth ored", + "8 000", + "Ġpro active", + "ĠSpirit ual", + "t re", + "Ġincarcer ated", + "ĠS ort", + "Ġpe aked", + "Ġwield ing", + "re ciation", + "×Ļ ×", + "P atch", + "ĠEm my", + "Ġex qu", + "tt o", + "ĠRat io", + "ĠP icks", + "ĠG ry", + "ph ant", + "Ġf ret", + "Ġeth n", + "Ġarch ived", + "% -", + "c ases", + "ĠBl aze", + "Ġim b", + "c v", + "y ss", + "im ony", + "Ġcount down", + "Ġaw akening", + "ĠTunis ia", + "ĠRe fer", + "ĠM J", + "Ġun natural", + "ĠCar negie", + "iz en", + "ĠN uggets", + "he ss", + "Ġev ils", + "64 7", + "Ġintrodu ctory", + "l oving", + "ĠMcM ahon", + "Ġambig uity", + "L abel", + "ĠAlm ighty", + "Ġcolor ing", + "ĠCl aus", + "set ting", + "N ULL", + "ĠF avorite", + "ĠS IG", + "> (", + "ĠSh iva", + "ĠMay er", + "Ġstorm ed", + "ĠCo verage", + "we apons", + "igh am", + "Ġun answered", + "Ġle ve", + "Ġc oy", + "c as", + "b ags", + "as ured", + "Se attle", + "ĠSant orum", + "ser ious", + "Ġcourage ous", + "ĠS oup", + "Ġconfisc ated", + "Ġ// /", + "Ġuncon ventional", + "Ġmom s", + "ĠRohing ya", + "ĠOrche stra", + "ĠPot ion", + "Ġdisc redit", + "ĠF IL", + "f ixed", + "ĠDe er", + "do i", + "ĠDim ension", + "Ġbureaucr ats", + "et een", + "Ġaction Group", + "oh m", + "Ġb umps", + "ĠUt ility", + "Ġsubmar ines", + "ren heit", + "re search", + "ĠShap iro", + "Ġsket ches", + "Ġde ceptive", + "ĠV il", + "es ame", + "ĠEss entially", + "Ġramp age", + "isk y", + "Ġmut tered", + "th ritis", + "Ġ23 6", + "f et", + "b ars", + "Ġpup il", + "ĠTh ou", + "o S", + "s ong", + "Ġfract ured", + "Ġre vert", + "pict ure", + "Ġcrit erion", + "us her", + "Ġreperc ussions", + "ĠV intage", + "ĠSuper intendent", + "Offic ers", + "Ġflag ged", + "Ġbl ames", + "Ġin verse", + "ograp hers", + "Ġmakes hift", + "Ġdev oid", + "Ġfoss ils", + "ĠArist otle", + "ĠFund s", + "Ġde pleted", + "ĠFl u", + "ĠY uan", + "Ġw oes", + "Ġlip id", + "Ġsit u", + "requ isites", + "Ġfurn ish", + "ĠSam ar", + "Ġshame ful", + "Ġadverse ly", + "Ġad ept", + "Ġrem orse", + "Ġmurder ous", + "uck les", + "ĠE SL", + "Ġ3 14", + "s ent", + "Ġred ef", + "ĠC ache", + "ĠP urs", + "ig ans", + "Ġ4 60", + "Ġpres criptions", + "Ġf res", + "F uck", + "ocr ates", + "Tw enty", + "ĠWe ird", + "ĠT oggle", + "ĠC alled", + "itiz ens", + "Ġp oultry", + "Ġharvest ing", + "ãĤ¦ ãĤ¹", + "Bott om", + "Ġcaution ed", + "t n", + "39 6", + "ĠNik ki", + "Ġeval uations", + "Ġharass ing", + "Ġbind ings", + "ĠMon etary", + "Ġhit ters", + "Ġadvers ary", + "un ts", + "Ġset back", + "Ġenc rypt", + "ĠC ait", + "Ġl ows", + "eng es", + "ĠN orn", + "Ġbul bs", + "Ġbott led", + "ĠVoy ager", + "3 17", + "Ġsp heres", + "p olitics", + "Ġsubt ract", + "Ġsens ations", + "Ġapp alling", + "Ġ3 16", + "Ġenvironment ally", + "ĠST EM", + "Ġpub lishes", + "5 60", + "Ġdilig ence", + "48 4", + "Ġadv ises", + "Ġpet rol", + "Ġimag ining", + "Ġpatrol s", + "ĠInt eger", + "ĠAs hes", + "act us", + "ĠRad iant", + "ĠL T", + "it ability", + "ht aking", + "Set ting", + "Ġnu anced", + "ĠRe ef", + "ĠDevelop ers", + "N i", + "pie ces", + "99 0", + "Lic ense", + "Ġlow ers", + "ĠOtt oman", + "3 27", + "oo o", + "Ġqu itting", + "mark ets", + "Beh ind", + "Ġbas in", + "Ġdoc s", + "an ie", + "fl ash", + "ct l", + "Ġcivil ized", + "ĠFuk ushima", + "\"] ,\"", + "ĠK S", + "ĠHonest ly", + "ar at", + "Ġconstruct s", + "ĠL ans", + "ĠD ire", + "ĠLI KE", + "ĠTrou ble", + "Ġwith holding", + "ĠOb livion", + "Ġsan ity", + "any a", + "Con st", + "Ġgro cer", + "ĠC elsius", + "Ġrecount ed", + "ĠW ife", + "B order", + "ate red", + "h appy", + "Ġspo iler", + "Ġlog ically", + "H all", + "Ġsucceed ing", + "Ġpoly morph", + "Ġax es", + "ĠShot gun", + "ĠS lim", + "ĠPrin ciples", + "ĠL eth", + "art a", + "Ġsc or", + "Sc reenshot", + "Ġrelax ation", + "#$ #$", + "Ġdeter rent", + "idd y", + "Ġpower less", + "Ġles bians", + "Ġch ords", + "ĠEd ited", + "se lected", + "Ġseparat ists", + "000 2", + "Ġair space", + "Ġturn around", + "Ġc unning", + "P ATH", + "P oly", + "Ġbomb ed", + "Ġt ion", + "x s", + "Ġwith hold", + "Ġw aged", + "ĠLiber ties", + "Fl ag", + "Ġcomfort ing", + "45 4", + "ĠI ris", + "are rs", + "Ġr ag", + "Ġrel ocated", + "ĠGu arant", + "Ġstrateg ically", + "Ġgam ma", + "uber ty", + "ĠLock heed", + "g res", + "Ġgr illed", + "ĠLow e", + "st ats", + "ĠR ocks", + "Ġsens ing", + "Ġrent ing", + "ĠGe ological", + "ا Ø", + "ot rop", + "Ġse w", + "Ġimproper ly", + "48 6", + "Ġâĸ ł", + "Ġstar ving", + "ĠB j", + "Disc ussion", + "3 28", + "ĠCom bo", + "ĠFix es", + "N AT", + "Ġstri ving", + "th ora", + "Ġharvest ed", + "ĠP ing", + "Ġplay ful", + "Ġaven ues", + "Ġoccup ational", + "Ġw akes", + "ĠCou rier", + "Ġdrum mer", + "ĠBrow ser", + "ĠH outh", + "it u", + "Ġapp arel", + "p aste", + "Ġhun ted", + "ĠSecond ly", + "l ain", + "X Y", + "ĠP IN", + "ic ons", + "Ġcock tails", + "Ġs izable", + "Ġhurd les", + "est inal", + "ĠRecre ation", + "Ġe co", + "64 8", + "ĠD ied", + "m int", + "Ġfinger prints", + "Ġdis pose", + "ĠBos nia", + "ts y", + "22 00", + "Ġins pected", + "ĠF ou", + "Ġf uss", + "Ġamb ush", + "ĠR ak", + "Ġmanif ested", + "Pro secut", + "Ġsuff ice", + "ren ces", + "Ġcompens ated", + "ĠC yrus", + "Ġgen us", + "ĠWolver ine", + "ĠTrend s", + "Ġh ikes", + "ĠSe en", + "Ġen rol", + "C old", + "Ġpol itely", + "ĠSl av", + "ĠRu pert", + "Ġey ewitness", + "ĠAl to", + "Ġun comp", + "Ġposter ior", + "M ust", + "ĠHer z", + "Ġprogress ively", + "Ġ23 4", + "Ġind ifference", + "ĠCunning ham", + "Ġacadem ia", + "Ġse wer", + "Ġast ounding", + "ĠA ES", + "r ather", + "Ġeld est", + "Ġclim bs", + "ĠAdd s", + "Ġout cry", + "Ġcont ag", + "ĠH ouses", + "Ġpe pt", + "ĠMel ania", + "interest ed", + "ĠU CH", + "ĠR oots", + "ĠHub bard", + "ĠT BD", + "ĠRoman ian", + "fil ename", + "St one", + "ĠIm pl", + "Ġchromos ome", + "C le", + "d x", + "Ġscram bled", + "ĠP t", + "Ġ24 2", + "OP LE", + "Ġtremend ously", + "St reet", + "Ġcra ving", + "Ġbund led", + "ĠR G", + "p ipe", + "Ġinj uring", + "Ġarc ane", + "Part icip", + "ĠHero ic", + "st y", + "Ġto pping", + "ĠTemp est", + "rent ices", + "b h", + "Ġpar anoia", + "ĠUnic ode", + "Ġegreg ious", + "Ġ\\ '", + "ĠOsw ald", + "Ġgra vel", + "ĠSim psons", + "Ġbl and", + "ĠGuant anamo", + "Writ er", + "lin ers", + "ĠD ice", + "J C", + "Ġpar ity", + "Ġs ided", + "Ġ23 7", + "ĠPyr rha", + "at ters", + "d k", + "F ine", + "comp an", + "Ġform ulated", + "ĠId ol", + "il ers", + "hem oth", + "ĠF av", + "Ġintr usion", + "Ġcar rots", + "ĠL ayer", + "ĠH acker", + "Ġ ----------------", + "Ġmoder ation", + "é ģ", + "oc oc", + "Ġcharacter ize", + "ĠTe resa", + "Ġsocio economic", + "Ġper k", + "ĠParticip ation", + "tr aining", + "ĠPaul o", + "ph ys", + "Ġtrust worthy", + "Ġembod ied", + "ĠMer ch", + "c urrency", + "ĠPrior ity", + "Ġte asing", + "Ġabsor bing", + "Ġunf inished", + "ĠCompar ison", + "Ġdis ple", + "writ ers", + "Ġprofess ions", + "ĠPengu in", + "Ġang rily", + "ĠL INK", + "68 8", + "ĠCor respond", + "Ġprev ailed", + "Ġcart el", + "l p", + "as ms", + "ĠRed emption", + "ĠIslam ists", + "effect s", + "d ose", + "ĠL atter", + "ĠHal ifax", + "Ġv as", + "ĠTop ics", + "ĠN amed", + "advert ising", + "zz a", + "IC ES", + "Ġret arded", + "ach able", + "ĠPupp et", + "ĠItem Level", + "Ġret ract", + "Ġident ifiable", + "A aron", + "ĠB uster", + "s ol", + "hel le", + "as semb", + "H ope", + "r anged", + "B a", + "ĠP urch", + "é Ģ", + "ĠSir i", + "Ġarri vals", + "Ġ19 12", + "Ġshort ened", + "Ġ3 12", + "Ġdiscrep ancy", + "ĠTem perature", + "ĠWal ton", + "Ġkind erg", + "p olit", + "Ġrem ix", + "Ġconnect ors", + "ãĥĺ ãĥ©", + "ĠKazakh stan", + "dom inated", + "Ġsu gars", + "im ble", + "ĠPan ic", + "ĠDem and", + "ĠCol ony", + "on en", + "ĠM ER", + "7 75", + "ur ia", + "aza ar", + "ĠDeg ree", + "P ri", + "Ġsun shine", + "Ġ25 1", + "Ġpsychedel ic", + "Ġdigit ally", + "ĠBra un", + "Ġsh immer", + "Ġsh ave", + "ĠTel esc", + "ĠAst ral", + "ĠVenezuel an", + "ĠO G", + "Ġc rawling", + "Int eg", + "ĠFe ather", + "Ġunfold ing", + "Ġappropri ation", + "Ġè£ı è", + "ĠMob ility", + "ĠN ey", + "- .", + "b ilt", + "L IN", + "ĠT ube", + "ĠCon versely", + "Ġkey boards", + "ĠC ao", + "Ġover th", + "Ġla ure", + ">> \\", + "ĠV iper", + "ach a", + "Off set", + "ĠR aleigh", + "ĠJ ae", + "J ordan", + "j p", + "Ġtotal itarian", + "Connect or", + "Ġobserv es", + "ĠSpart an", + "ĠIm mediately", + "ĠSc al", + "C ool", + "Ġt aps", + "Ġro ar", + "P ast", + "Ġch ars", + "ĠB ender", + "ĠShe ldon", + "Ġpain ter", + "Ġbe acon", + "ĠCreat ures", + "Ġdownt urn", + "Ġh inder", + "ĠAnd romeda", + "à Ľ", + "cc oli", + "ĠF itness", + "et rical", + "Ġutil izes", + "Ġsen ate", + "Ġen semble", + "Ġche ers", + "T W", + "Ġaff luent", + "k il", + "ry lic", + "ord ering", + "Com puter", + "Ġgru esome", + "ost ics", + "ĠUb isoft", + "ĠKel ley", + "Ġw rench", + "Ġbourgeois ie", + "IB LE", + "ĠPrest on", + "w orn", + "ar ist", + "reat ing", + "Ġst ained", + "ar ine", + "Ġsl ime", + "EN N", + "Ġche sts", + "Ġground water", + "ann ot", + "ĠTr ay", + "ĠLoc ke", + "ĠC TR", + "Ġd udes", + "ĠEx ternal", + "ĠDec oder", + "Ġpar amed", + "ĠMed line", + "80 9", + "ĠD inner", + "rup al", + "g z", + "ĠG um", + "ĠDem o", + "j ee", + "Ġd h", + "ber man", + "arch s", + "Ġen qu", + "ĠEp stein", + "Ġdevast ation", + "Ġfriends hips", + "ĠAr d", + "Ġ23 1", + "ĠRub in", + "ĠDist ance", + "Ġsp urred", + "Ġd ossier", + "Ġover looking", + "\\\\\\\\\\\\\\\\ \\\\\\\\\\\\\\\\", + "Fore st", + "ĠCom es", + "\\ \",", + "ĠIran ians", + "Ġf ixtures", + "L aughs", + "Ġcur ry", + "ĠKing ston", + "Ġsqu ash", + "Ġcat alogue", + "Ġabnormal ities", + "Ġdigest ive", + ".... .....", + "Ġsubord inate", + "og ly", + "Ġ24 9", + "M iddle", + "Ġmass ac", + "Ġburg ers", + "Ġdown stairs", + "Ġ19 31", + "39 4", + "ĠV G", + "Ġl asers", + "ĠS ikh", + "ĠAlex a", + "der ived", + "Ġcycl ist", + "ãģ® éŃĶ", + "onel iness", + "!!!! !!!!", + "Ġbuff s", + "leg ate", + "Ġrap ing", + "Ġrecomm ending", + "ro red", + "Ġmult icultural", + "un ique", + "Ġbusiness men", + "Ġune asy", + "ĠM AP", + "Ġdisp ersed", + "cipl ine", + "J ess", + "ĠK erala", + "å §", + "Ġabst raction", + "Sur v", + "U h", + "Ġprin ters", + "ij a", + "ow der", + "Ġanalog ous", + "ĠA SP", + "af er", + "Ġunfold ed", + "Ġlevel ing", + "Ġbre ached", + "ĠH earing", + "Ġn at", + "Ġtransl ating", + "crit ical", + "Ġant agonist", + "ĠYes terday", + "Ġfuzz y", + "w ash", + "m ere", + "Ġbe wild", + "ĠM ae", + "V irgin", + "ph rase", + "Ġsign aled", + "ĠH IGH", + "Ġprot ester", + "Ġgar ner", + "unk nown", + "Ġk ay", + "Ġabduct ed", + "Ġst alking", + "am n", + "Ġdes erving", + "ĠR iv", + "ĠJ orge", + "Ġscratch ing", + "ĠS aving", + "ip ing", + "Ġte ase", + "Ġmission ary", + "ĠMor row", + "T IME", + "P resent", + "Ġchem otherapy", + "tern ess", + "ĠH omes", + "ĠP urdue", + "Ġst aunch", + "ĠWhit ney", + "ĠTH ERE", + "Î ¼", + "iat us", + "ĠErn est", + "ĠDe ploy", + "Ġcove ted", + "F ML", + "ĠDial ogue", + "Ġex ited", + "f ruit", + "Ġner d", + "\":\" \",\"", + "Ġv ivo", + "ru ly", + "4 60", + "ĠAm en", + "rehens ible", + "Ġâ ĺ", + "D IR", + "Ġad herence", + "Ġche w", + "ĠCo ke", + "ĠSerge i", + "dig ital", + "ĠNe ck", + "g ently", + "enth al", + "/ )", + "Ġwe ary", + "Ġgu ise", + "ĠConc ord", + "ĠOn ion", + "at cher", + "Ġb inge", + "ĠDirect ive", + "Ġman ned", + "ans k", + "Ġill usions", + "Ġbillion aires", + "38 3", + "oly n", + "odynam ic", + "ĠWhe at", + "ĠA lic", + "Ġcol oured", + "ĠN AFTA", + "ab o", + "Ġmac ros", + "ind ependent", + "s weet", + "Ġsp ac", + "ĠK abul", + "Ġ Ä", + "em e", + "Ġdict ated", + "Ġsh outs", + "= {", + "Ġr ipping", + "ĠSh ay", + "ĠCr icket", + "direct ed", + "Ġanalys ed", + "ĠWAR RANT", + "ag ons", + "ĠBlaz ers", + "Ġche ered", + "Ġar ithmetic", + "ĠTan z", + "37 3", + "ĠFl ags", + "Ġ29 5", + "Ġw itches", + "ĠIn cluded", + "ĠG ained", + "ĠBl ades", + "G am", + "ĠSam antha", + "ĠAtl antis", + "ĠPr att", + "Ġspo iled", + "ĠI B", + "ĠRam irez", + "Pro bably", + "re ro", + "ĠN g", + "ĠWar lock", + "t p", + "Ġover he", + "Ġadministr ations", + "Ġt int", + "Ġreg iment", + "Ġpist ols", + "Ġblank ets", + "Ġep ist", + "Ġbowl s", + "Ġhydra ulic", + "Ġde an", + "Ġj ung", + "Ġasc end", + "70 5", + "ĠSant iago", + "à ®", + "Ġun avoid", + "ĠSh aman", + "re b", + "Ġstem ming", + "99 8", + "ĠM G", + "st icks", + "esthes ia", + "ER O", + "Ġmor bid", + "ĠGr ill", + "ĠP oe", + "any l", + "Ġdele ting", + "ĠSurve illance", + "Ġdirect ives", + "Ġiter ations", + "ĠR ox", + "ĠMil ky", + "F ather", + "Ġpat ented", + "44 7", + "Ġprec ursor", + "Ġm aiden", + "ĠP hen", + "ĠVe gan", + "ĠPat ent", + "K elly", + "Redd itor", + "Ġn ods", + "Ġvent ilation", + "ĠSchwar z", + "Ġw izards", + "Ġomin ous", + "ĠHe ads", + "ĠB G", + "Ġl umber", + "ĠSp iel", + "Ġis Enabled", + "Ġancest ral", + "ĠSh ips", + "Ġwrest ler", + "ph i", + "Ġy uan", + "ĠRebell ion", + "Ġice berg", + "Ġmag ically", + "Ġdivers ion", + "ar ro", + "yth m", + "ĠR iders", + "ĠRob bie", + "ĠK ara", + "ĠMain tenance", + "ĠHer b", + "Ġhar ms", + "p acked", + "ĠFe instein", + "Ġmarry ing", + "Ġbl ending", + "ĠR ates", + "Ġ18 80", + "Ġwr ink", + "ĠUn ch", + "ĠTor ch", + "desc ribed", + "Ġhuman oid", + "ilit ating", + "ĠCon v", + "ĠFe ld", + "IGH TS", + "Ġwhistlebl ower", + "ort mund", + "ets y", + "arre tt", + "ĠMon o", + "ĠI ke", + "ĠC NBC", + "ĠW AY", + "ĠMD MA", + "ĠIndividual s", + "Ġsupplement al", + "Ġpower house", + "ĠSt ru", + "F ocus", + "aph ael", + "ĠCol leg", + "att i", + "Z A", + "Ġp erenn", + "ĠSign ature", + "ĠRod ney", + "Ġcub es", + "idd led", + "ĠD ante", + "ĠIN V", + "iling ual", + "ĠC th", + "Ġso fa", + "Ġintimid ate", + "ĠR oe", + "ĠDi plom", + "ĠCount ries", + "ays on", + "Ġextrad ition", + "Ġdis abling", + "ĠCard iff", + "Ġmemor andum", + "ĠTr ace", + "Ġ?? ?", + "se ctor", + "ĠRou hani", + "ĠY ates", + "ĠFree ze", + "Ġbl adder", + "M otor", + "ĠProm ise", + "ant asy", + "Ġforesee able", + "ĠC ologne", + "cont ainer", + "ĠTre es", + "ĠG ors", + "ĠSin clair", + "Ġbar ring", + "key e", + "Ġsl ashed", + "ĠStat istical", + "é ĩ", + "Ġâĸ º", + "All ows", + "Ġhum ility", + "Ġdr illed", + "ĠF urn", + "44 3", + "Ġse wage", + "Ġhome page", + "Ġcour tyard", + "Ġv ile", + "Ġsubsid iaries", + "aj o", + "direct ory", + "Ġam mon", + "V ers", + "charg es", + "Ġ} }", + "ĠCh ains", + "Ġ24 6", + "n ob", + "Ġper cept", + "Ġg rit", + "Ġfisher men", + "ĠIraq is", + "ĠDIS TR", + "ĠF ULL", + "ĠEval uation", + "g raph", + "at ial", + "Ġcooper ating", + "Ġmel an", + "Ġenlight ened", + "Ġal i", + "t ailed", + "Ġsal ute", + "Ġweak est", + "ĠBull dogs", + "U A", + "ĠAll oy", + "Ġsem en", + "oc ene", + "ĠWilliam son", + "s pr", + ", âĢĶ", + "ĠG F", + "itt ens", + "Be at", + "ĠJ unk", + "iph ate", + "ĠFarm ers", + "ĠBit coins", + "ig ers", + "d h", + "ĠL oyal", + "p ayer", + "Ġentert ained", + "Ġpenn ed", + "Ġcoup on", + "Que ue", + "Ġweaken ing", + "c arry", + "Ġunderest imate", + "Ġshoot out", + "Ġcharism atic", + "ĠProced ure", + "Ġprud ent", + "in ances", + "Ġric hes", + "Ġcort ical", + "Ġstr ides", + "Ġd rib", + "ĠOil ers", + "5 40", + "ĠPer form", + "ĠBang kok", + "Ġe uth", + "S ER", + "Ġsimpl istic", + "t ops", + "camp aign", + "Q uality", + "Ġimpover ished", + "ĠEisen hower", + "Ġaug ment", + "ĠH arden", + "Ġinterven ed", + "Ġlist ens", + "ĠK ok", + "Ġs age", + "Ġrub bish", + "ĠD ed", + "Ġm ull", + "pe lling", + "Ġvide ot", + "Produ ction", + "D J", + "m iah", + "Ġadapt ations", + "Ġmed ically", + "Ġboard ed", + "Ġarrog ance", + "Ġscra pped", + "Ġopp ress", + "FORM ATION", + "Ġj unction", + "4 15", + "EE EE", + "S kill", + "Ġsub du", + "ĠSug gest", + "ĠP ett", + "Ġle tt", + "ĠMan ip", + "ĠC af", + "ĠCooper ation", + "T her", + "Ġreg ained", + "¶ æ", + "ref lect", + "Ġth ugs", + "ĠShel by", + "Ġdict ates", + "ĠWe iner", + "ĠH ale", + "Ġbatt leground", + "s child", + "Ġcond ol", + "h unt", + "osit ories", + "Ġacc uses", + "Fil ename", + "Ġsh ri", + "Ġmotiv ate", + "Ġreflect ions", + "N ull", + "ĠL obby", + "¥ µ", + "ĠS ATA", + "ĠBack up", + "Ñ ĥ", + "n in", + "ĠCor rection", + "Ġju icy", + "ut ra", + "ĠP ric", + "Ġrest raining", + "ĠAir bnb", + "ĠAr rest", + "Ġappropri ations", + "Ġsl opes", + "Ġmans laughter", + "Ġwork ings", + "ĠH uss", + "ĠF rey", + "Le ave", + "ĠHarm ony", + "ĠF eder", + "Ġ4 30", + "Ġt rench", + "Ġglad ly", + "Ġbull pen", + "ĠG au", + "b ones", + "Ġgro ove", + "Ġpre text", + "ã ħĭ", + "Ġtransm itter", + "ĠComp onent", + "Ġunder age", + "ĠEm pires", + "T ile", + "Ġo y", + "ĠMar vin", + "ĠC AS", + "Ġbl oss", + "Ġrepl icated", + "ĠMar iners", + "Marc us", + "ĠBl ocks", + "Ġliber ated", + "Ġbutter fly", + "Fe el", + "Ġfer mentation", + "Ġyou tube", + "Ġoff end", + "ĠTer m", + "res ist", + "Ġcess ation", + "Ġinsurg ency", + "Ġb ir", + "ĠRa ise", + "59 5", + "Ġhypothes es", + "50 2", + "Ġpl aque", + "ocr at", + "Ġjack ets", + "ĠHuff Post", + "am ong", + "Ġconf er", + "48 7", + "ĠL illy", + "Ġadapt ing", + "ĠF ay", + "Ġsh oved", + "ve c", + "Ġref ine", + "Ġg on", + "Ġgun men", + "z ai", + "ĠShut tle", + "ĠI zan", + "Ġ19 13", + "Ġple thora", + "· ·", + "Ġ5 10", + "Ġp uberty", + "Ġ24 1", + "ĠWe alth", + "ĠAl ma", + "ĠM EM", + "ĠAd ults", + "C as", + "pr ison", + "R ace", + "Ġwater proof", + "Ġathlet icism", + "Ġcapital ize", + "ĠJu ice", + "Ġillum inated", + "ĠP ascal", + "Ġirrit ation", + "ĠWitness es", + "ad le", + "ĠAst ro", + "Ġf ax", + "ĠEl vis", + "Prim ary", + "ĠL ich", + "ĠEl ves", + "Ġres iding", + "Ġst umble", + "3 19", + "ĠP KK", + "Ġadvers aries", + "D OS", + "ĠR itual", + "Ġsm ear", + "Ġar son", + "ident al", + "Ġsc ant", + "Ġmon archy", + "Ġhal ftime", + "Ġresid ue", + "Ġind ign", + "ĠSh aun", + "ĠEl m", + "aur i", + "A ff", + "W ATCH", + "ĠLy on", + "hel ps", + "36 1", + "Ġlobby ist", + "Ġdimin ishing", + "Ġout breaks", + "Ġgo ats", + "f avorite", + "ĠN ah", + "son ian", + "ĠBo oster", + "Ġsand box", + "ĠF are", + "ĠMalt a", + "Ġatt Rot", + "ĠM OR", + "ld e", + "Ġnavig ating", + "T ouch", + "Ġunt rue", + "ĠDis aster", + "Ġl udicrous", + "Pass word", + "ĠJ FK", + "blog spot", + "4 16", + "ĠUN DER", + "ern al", + "Ġdelay ing", + "T OP", + "Ġimpl ants", + "ĠAV G", + "ĠH uge", + "att r", + "Ġjournal istic", + "ĠPe yton", + "ĠI A", + "R ap", + "go al", + "ĠProgram me", + "Ġsm ashing", + "w ives", + "print ln", + "ĠPl ague", + "in us", + "EE P", + "Ġcru iser", + "ĠPar ish", + "umin ium", + "Ġoccup ants", + "ĠJ ihad", + "m op", + "Ġp int", + "Ġhe ct", + "ĠMe cca", + "direct or", + "ĠFund ing", + "ĠM ixed", + "Ġst ag", + "T ier", + "Ġg ust", + "Ġbright ly", + "ors i", + "Ġup hill", + "R D", + "Ġles ions", + "ĠBund y", + "liv ious", + "Ġbi ologist", + "ĠFac ulty", + "ĠAuthor ization", + "Ġ24 4", + "All ow", + "ï ¸", + "ĠGi ul", + "Ġpert inent", + "ot aur", + "es se", + "ĠRo of", + "Ġunman ned", + "35 1", + "ĠSh ak", + "ĠO rient", + "Ġend anger", + "D ir", + "Ġrepl en", + "ed ient", + "Ġtail or", + "Ġgad gets", + "Ġaud ible", + "âĺ Ĩ", + "N ice", + "Ġbomb ard", + "ĠR ape", + "Ġdef iance", + "ĠTW O", + "ĠFilip ino", + "Ġunaff ected", + "erv atives", + "Ġso ared", + "ĠBol ton", + "Ġcomprom ising", + "ĠBrew ers", + "R AL", + "ĠA HL", + "icy cle", + "Ġv ampires", + "Ġdi pped", + "oy er", + "ĠX III", + "Ġsidew ays", + "ĠW aste", + "ĠD iss", + "ĠâĶľ âĶĢâĶĢ", + "$ .", + "Ġhabit ats", + "ĠBe ef", + "tr uth", + "tr ained", + "spl it", + "R us", + "And y", + "ĠB ram", + "RE P", + "p id", + "è£ ħ", + "ĠMut ant", + "An im", + "ĠMar ina", + "Ġfut ile", + "hig hest", + "f requency", + "Ġepile psy", + "Ġcop ing", + "Ġconc ise", + "Ġtr acing", + "ĠS UN", + "pan el", + "ĠSoph ie", + "ĠCrow ley", + "ĠAd olf", + "ĠShoot er", + "Ġsh aky", + "ĠI G", + "ĠL ies", + "ĠBar ber", + "p kg", + "Ġupt ake", + "Ġpred atory", + "UL TS", + "/ **", + "Ġintox icated", + "ĠWest brook", + "od der", + "he ment", + "Ġbas eman", + "AP D", + "st orage", + "ĠFif ty", + "ed itor", + "G EN", + "UT ION", + "ir ting", + "Ġse wing", + "r ift", + "Ġag ony", + "ĠS ands", + "Ġ25 4", + "C ash", + "Ġl odge", + "Ġp unt", + "N atural", + "ĠIde as", + "Ġerrone ous", + "ĠSens or", + "ĠHann ity", + "Ġ19 21", + "Ġm ould", + "ĠG on", + "kay a", + "Ġanonym ously", + "ĠK EY", + "Ġsim ulator", + "W inter", + "Ġstream ed", + "50 7", + "? \",", + "Ġte ased", + "Ġco efficient", + "Ġwart ime", + "ĠTH R", + "' '.", + "ĠBank ing", + "mp ire", + "Ġf andom", + "Ġl ia", + "G a", + "Ġdown hill", + "Ġinterpre ting", + "Ind ividual", + "N orm", + "Ġjealous y", + "bit coin", + "Ġple asures", + "ĠToy s", + "ĠChev rolet", + "ĠAd visor", + "IZ E", + "Ġrecept ions", + "70 6", + "C ro", + "Ġ26 2", + "Ġcit rus", + "ir u", + "Review er", + "ject ed", + "U ES", + "an z", + "19 81", + "ĠWork er", + "Ġcompl ied", + "ores cent", + "contin ental", + "T on", + "ĠPr ism", + "ĠShe ep", + "Ġ28 8", + "n ox", + "ĠV og", + "O rd", + "Ġreal ms", + "te k", + "Ġirrig ation", + "Ġbicy cles", + "Ġelectron ically", + "p oly", + "t all", + "() );", + "Ġaest hetics", + "ĠInteg rated", + "Expl ore", + "Ġd unk", + "47 6", + "p ain", + "ĠJac ques", + "ĠD mit", + "Fram es", + "Ġreun ited", + "Ġhum id", + "D ro", + "P olitical", + "Ġyouth ful", + "Ġent ails", + "Ġmosqu ito", + "36 3", + "spe cies", + "Ġcoord inating", + "ĠMay hem", + "ĠMagn us", + "M ount", + "Impro ved", + "ĠST ATE", + "ATT LE", + "Ġflow ed", + "Ġtack led", + "Ġfashion ed", + "Ġre organ", + "iv ari", + "f inger", + "Ġreluct antly", + "et ting", + "ĠV and", + "you ng", + "ĠGar land", + "Ġpresum ption", + "Ġamen ities", + "ĠPle asant", + "on ential", + "ĠO xy", + "Ġmor als", + "ĠY ah", + "Read y", + "Sim on", + "En h", + "D emon", + "Ġcl ich", + "Mon itor", + "ĠD U", + "Ġwel comes", + "Ġstand out", + "Ġdread ful", + "Ġban anas", + "Ġball oons", + "h ooting", + "bas ic", + "Ġsuff ix", + "Ġd uly", + "can o", + "Ch ain", + "at os", + "Ġgeop olitical", + "Ġ( &", + "ĠGem ini", + "ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ", + "Ġacqu itted", + "L uck", + "prot ect", + "10 24", + "Ġsc arcity", + "Ġmind fulness", + "ec ided", + "D N", + "pr ime", + "ĠPres idents", + "ĠVID EO", + "Ġ( âĪĴ", + "add ock", + "N OR", + "ĠP ru", + "p un", + "ĠL OL", + ")) ))", + "ĠL iqu", + "ĠS AS", + "Ġsty ling", + "Ġpunish ments", + "Ġnum b", + "Ġasc ertain", + "ĠRock ies", + "f lu", + "Th umbnail", + "Ġperpet rated", + "ĠSem i", + "Ġdis arm", + "ĠOld er", + "ĠEx ception", + "Ġexponent ially", + "ĠCommun ities", + "Ġabol ish", + "ĠPart ner", + "pt oms", + "Ġ7 77", + "ĠFo ley", + "ĠC ases", + "Ġgre ase", + "ĠReb irth", + "G round", + "Ġ; )", + "ĠDoct rine", + "ik ini", + "Y e", + "ĠBl ossom", + "Ġpers ists", + "b ill", + "Ġinf usion", + "Ġbud dies", + "9 11", + "ĠPat ient", + "Ġdem os", + "Ġacquaint ance", + "ĠP aw", + "at ari", + "Ġx ml", + "Ġfasc ination", + "ĠSer ve", + "Ï Ĥ", + "br anded", + "Ġa z", + "Return s", + "Ġover shadow", + "Ġro am", + "Ġspeed y", + "n umbered", + "hel ial", + "Ġdisc iple", + "Ġass urances", + "g iven", + "pect ing", + "ĠN atalie", + "çĶ °", + "Ġmosquit oes", + "rote in", + "Ġnumer ic", + "Ġindepend ents", + "Ġtrans itional", + "Ġreaction ary", + "ĠMech dragon", + "do ctor", + "Ġshort est", + "Ġsequ ential", + "ĠB ac", + "ĠAccount s", + "ãģ Į", + "ach y", + "ract ive", + "ĠReg iment", + "Ġbreat htaking", + "ffic iency", + "ĠB ates", + "Ġ3 11", + "Ġward robe", + "ft s", + "ĠBer k", + "Sim ply", + "ĠRivers ide", + "iver ing", + "ident ial", + "lu cent", + "Ġen riched", + "ĠCon ver", + "ĠG iving", + "ãĥ Ļ", + "Ġlegal ize", + "ĠF TC", + "Ġfre aking", + "M ix", + "Ġter restrial", + "es ian", + "ci ents", + "W ing", + "LO AD", + "Ġled ge", + "ĠViol ent", + "ĠMet all", + "Ġ30 8", + "Ġs outheastern", + "hett o", + "M eat", + "Ġslow down", + "Ġret reated", + "Jere my", + "end as", + "**** *", + "er ic", + "Ġre ins", + "opp able", + "ĠHuman ity", + "ear ances", + "rig an", + "C amera", + "Ġwa ivers", + "s oc", + "Ġalter ation", + "trans form", + "ĠC emetery", + "50 6", + "Ġindef inite", + "Ġstim ulating", + "y g", + "60 3", + "ĠS op", + "Ġdescript ive", + "Ph ase", + "ĠEd mund", + "Ġpneum onia", + "vent us", + "A mb", + "Ġlabor atories", + "ĠEx clusive", + "ug ar", + "W ere", + "Ġmalf unction", + "Ġhomosexual s", + "Ġ---- ---", + "un i", + "Ġturb ines", + "ĠEqu ity", + "D u", + "Ġmind ed", + "ĠR H", + "ĠBlack hawks", + "Ġfe ats", + "Ġ17 00", + "re pl", + "36 2", + "lad en", + "Ġindisp ensable", + "ly ss", + "tt i", + "Ġre el", + "Ġdiver ted", + "Ġlik eness", + "Ġsubscript ions", + "Ġfing ert", + "Ġfil thy", + "dest ruct", + "d raft", + "ĠBernard ino", + "l aunch", + "Ġper plex", + "ĠS UM", + "car b", + "Ġswe ater", + "ĠVent ure", + "ĠJ ag", + "ĠCele b", + "ĠV oters", + "Ġstead fast", + "Ġathlet ics", + "ĠHans on", + "ĠDr ac", + "Tr acker", + "Ġcomm end", + "ĠPres idency", + "ĠD ID", + "in formed", + "Ġweb page", + "P retty", + "Ġforce fully", + "ãĥĥ ãĤ¯", + "Ġrel ocation", + "Ġsat ire", + "â ī", + "ĠSunder land", + "æ Ħ", + "V oice", + "???? ????", + "Ġinform ant", + "Ġbow el", + "ĠUn iform", + "Ġ ...\"", + "Ġpur ge", + "Ġpic nic", + "ĠU mb", + "ĠU PDATE", + "ĠSapp hire", + "ĠSt all", + "le arn", + "Ġobject ively", + "Ġob liter", + "Ġlooph ole", + "Ġjour neys", + "Ġo mission", + "Pro s", + "ĠSid ney", + "pl oma", + "Ġspray ed", + "Ġg uru", + "Ġtra itor", + "Ġtim et", + "Ġsn apping", + "ĠSe vent", + "urn al", + "ĠUk ip", + "Ġb owed", + "por al", + "l iberal", + "R os", + "Quest ions", + "i OS", + "Ġsummar ize", + "ST AT", + "Ġ18 50", + "ap est", + "Ġl ender", + "ĠVari able", + "br inging", + "ĠL ORD", + ", )", + "Ġcollaps es", + "x iety", + "ĠN ed", + "Y D", + "ĠSch a", + "Ġantib ody", + "Ġdis band", + "y re", + "ill usion", + "Ġro ver", + "s hed", + "ĠHiro sh", + "cc i", + "Ġcal am", + "ĠMort on", + "P interest", + "Ġ19 28", + "ĠE uras", + "ord es", + "Ġf ences", + "ĠIn ventory", + "ĠVal encia", + "ĠU d", + "ĠT iff", + "Ġsqu e", + "Ġqu otation", + "Ġtroubles ome", + "er ker", + "QU EST", + "ĠKing doms", + "s outh", + "Ġle vy", + "Pr ince", + "ĠSt ing", + "Ġnick named", + "Ġapp e", + "Ġphot ographic", + "Ġcorp us", + "re ference", + "ĠT rog", + "U nt", + ") =(", + "ĠLat via", + "Ġactiv ating", + "Ġlicense e", + "Ġdispar ities", + "ĠNews letter", + "ãĥĥ ãĥĪ", + "Ġfree ing", + "ĠJe ep", + "ĠPer ception", + "ins k", + "Ġsil icone", + "ĠHay den", + "Le an", + "ĠSuz uki", + "ibr arian", + "66 8", + "Ġsp or", + "Ġcorrel ations", + "ag hetti", + "Ġtu ber", + "ĠIP CC", + "il us", + "ĠV u", + "Ġwealth iest", + "ĠCarb uncle", + "an za", + "Ġfool ed", + "ĠZ ur", + "Ġd addy", + "ran o", + "il ian", + "Ġknock out", + "f man", + "requ ired", + "ĠWik ileaks", + "ĠD uffy", + "ON T", + "Ġins ol", + "ĠObject s", + "Ġb ou", + "ĠNord ic", + "ĠIns ert", + "sc an", + "Ġd ancers", + "Ġid iots", + "major ity", + "ĠNev ille", + "ĠFree BSD", + "Ġt art", + "pan ic", + "69 0", + "Ġcoc oa", + "Ġsam pled", + "Ġlook up", + "Ind ust", + "Ġinject ions", + "gen re", + "Ġa u", + "Ġroad way", + "Ġgen itals", + "K ind", + "ĠEx aminer", + "ĠY az", + "F resh", + "Ġpar alysis", + "ĠAl uminum", + "Ġre ap", + "ok é", + "Ġsl oppy", + "ĠTun nel", + "pos ium", + "ner y", + "en ic", + "Ġher bal", + "ĠOut er", + "ĠBuild er", + "Ġinc ur", + "Ġide ologies", + "Ġback ups", + "cons uming", + "ĠDet ect", + "de ck", + "ĠKN OW", + "ĠG ret", + "ĠM IC", + "Ġtough ness", + "ĠEx hibit", + "Ġh ive", + "L es", + "ĠSCH OOL", + "ĠAt ari", + "ald e", + "ĠN ull", + "and estine", + "m ouse", + "Ġbrig ade", + "48 9", + "Ġrev ol", + "ĠLaw son", + "ĠW ah", + "op oly", + "eb ted", + "ĠS aunders", + "Ġ3 13", + "ĠW inc", + "Ġtab oo", + "ĠHel met", + "Ġw edge", + "ch ip", + "ĠT ina", + "b g", + "Ġinf uri", + "r n", + "Ġanomal ies", + "ĠSy nc", + "ĠEx am", + "ĠComm it", + "ĠDi ary", + "ĠALS O", + "ĠDe bor", + "omed ical", + "Ġcomprehens ion", + "6 55", + "Ġempower ing", + "Ġ ire", + "Ġju ices", + "ĠE TH", + "ĠBox ing", + "=\" /", + "Ġfacilit ated", + "p oke", + "ĠPars ons", + "ĠMod er", + "tra vel", + "Ġcivil izations", + "Ġliber tarians", + "Ġrun e", + "ĠCl arks", + "at hed", + "Ġcampaign ers", + "ĠDis patch", + "ĠFah renheit", + "ĠCap com", + "-------- --", + "Ġl ace", + "Ġdr aining", + "Ġl iner", + "ĠArt ificial", + "é n", + "t ask", + "] ).", + "ĠGM O", + "ĠOper ator", + "ord inary", + "ĠInf luence", + "ĠU ps", + "Ġpot ency", + "uss en", + "osp ons", + "ĠSw im", + "ĠDead line", + "Un ity", + "Ġcul inary", + "Ġenlight enment", + "Ġwe arer", + "Ġmin ed", + "Ġp ly", + "Ġinc est", + "ĠDVD s", + "W alk", + "B TC", + "Tr ade", + "Ġdev al", + "ib and", + "ĠOvers ight", + "Palest inian", + "Ġd art", + "Ġm ul", + "L R", + "Ġrem ovable", + "ĠReal ms", + "ì Ŀ", + "Ġmisc ar", + "ĠV ulkan", + "68 5", + "è re", + "ĠS ap", + "Ġmer ging", + "ĠCar ly", + "che ster", + "Ġbr isk", + "Ġlux urious", + "ĠGener ator", + "Ġbit terness", + "Ġed ible", + "Ġ24 3", + "T G", + "Ġrect angle", + "With No", + "bel ow", + "J enn", + "Ġdark est", + "Ġh itch", + "Ġdos age", + "Ġsc aven", + "ĠK eller", + "ĠIllust rated", + "Certain ly", + "ĠMaver icks", + "Marg inal", + "Ġdiarr hea", + "Ġenorm ously", + "Ġ9 99", + "sh r", + "qu art", + "Ġadam ant", + "ĠM ew", + "Ġren ovation", + "Ġcerv ical", + "ĠPercent age", + "en ers", + "ĠKim ber", + "Ġflo ats", + "Ġde x", + "ĠW itcher", + "ĠSwan sea", + "d m", + "Ġsal ty", + "y ellow", + "Ġca pe", + "ĠDr ain", + "ĠPaul a", + "ĠTol edo", + "les i", + "Mag azine", + "ĠW ick", + "ĠM n", + "ĠA ck", + "ĠR iding", + "AS ON", + "Ġhom ophobic", + "AR P", + "Ġwand ered", + "C PU", + "ood oo", + "ĠP ipe", + "Ġtight ening", + "ĠBut t", + "3 18", + "Ġdesert ed", + "S ession", + "Ġfacilit ating", + "J ump", + "Ġemer gencies", + "OW ER", + "Ġexhaust ive", + "ĠAF TER", + "Ġheart beat", + "ĠLab el", + "ack y", + "ĠCert ified", + "ilt ration", + "Z e", + "ĠU tt", + "Ġ13 00", + "Ġpres ume", + "ĠDis p", + "Ġsur ged", + "Ġdoll s", + "Col umb", + "Ġchim pan", + "ĠR azor", + "Ġt icks", + "Ġcouncill or", + "Ġpilgr image", + "ĠReb els", + "ĠQ C", + "ĠA uction", + "x ia", + "ik k", + "b red", + "Ġinsert ion", + "Ġco arse", + "d B", + "SE E", + "ĠZ ap", + "ĠF oo", + "Ġcontem por", + "ĠQuarter ly", + "ot ions", + "ĠAl chemist", + "ĠT rey", + "ĠDu o", + "S weet", + "80 4", + "ĠGi ov", + "Ġfun n", + "N in", + "h off", + "Ġram ifications", + "Ġ19 22", + "ĠExper ts", + "az es", + "Ġgar ments", + "ar ial", + "ĠN ab", + "Ġ25 7", + "ĠV ed", + "Ġhum orous", + "ĠPom pe", + "Ġn ylon", + "Ġlur king", + "ĠSerge y", + "ĠMatt is", + "Ġmisogyn y", + "ĠComp onents", + "ĠWatch ing", + "ĠF olk", + "ract ical", + "B ush", + "Ġt aped", + "Ġgroup ing", + "Ġbe ads", + "Ġ20 48", + "Ġcon du", + "quer que", + "Read ing", + "Ġgriev ances", + "Ult ra", + "Ġend point", + "H ig", + "ĠSt atic", + "ĠScar borough", + "L ua", + "ĠMess i", + "a qu", + "ĠPsy Net", + "ĠR udd", + "Ġa venue", + "v p", + "J er", + "Ġsh ady", + "ĠRes ist", + "ĠArt emis", + "Ġcare less", + "Ġbro kers", + "Ġtemper ament", + "Ġ5 20", + "T ags", + "ĠTurn ing", + "Ġut tered", + "Ġp edd", + "Ġimpro vised", + "Ġ: (", + "Ġtab l", + "Ġpl ains", + "16 00", + "press ure", + "ĠEss ence", + "marg in", + "friend s", + "ĠRest oration", + "Ġpoll ut", + "ĠPok er", + "ĠAugust ine", + "ĠC IS", + "ĠSE AL", + "or ama", + "Ġth wart", + "se ek", + "Ġp agan", + " º", + "cp u", + "Ġg arn", + "Ġass ortment", + "ĠI LCS", + "t ower", + "Recomm ended", + "Ġun born", + "ĠRandom Redditor", + "ĠRandomRedditor WithNo", + "Ġparaly zed", + "Ġeru ption", + "Ġinter sect", + "ĠSt oke", + "ĠS co", + "B ind", + "å ¾", + "ĠP NG", + "ĠNeg ative", + "ĠNO AA", + "Le on", + "Ġall oy", + "ĠL ama", + "ĠD iversity", + "5 75", + "Ġunderest imated", + "ĠSc or", + "Ġm ural", + "Ġb usted", + "so on", + "l if", + "Ġnone x", + "Ġall ergy", + "ĠUnder world", + "ĠR ays", + "ĠBl asio", + "Ġh rs", + "ĠD ir", + "Ġ3 27", + "by ter", + "Ġrepl acements", + "Ġactiv ates", + "ri ved", + "M H", + "Ġp ans", + "ĠH I", + "Ġlong itudinal", + "Ġnu isance", + "al er", + "Ġsw ell", + "ĠS igned", + "s ci", + "ĠIs les", + "ĠA GA", + "Ġdef iant", + "Ġson ic", + "oc on", + "K C", + "ĠA im", + "t ie", + "ah ah", + "Ġm L", + "D X", + "Ġb isc", + "ĠBill board", + "ĠSY STEM", + "NE Y", + "ga ard", + "Ġdist ressed", + "former ly", + "Al an", + "Ġche fs", + "Ġopt ics", + "ĠC omet", + "ĠAM C", + "Ġredes igned", + "irm ation", + "Ġsight ings", + "38 2", + "3 11", + "ĠW B", + "Ġcont raction", + "ĠT OTAL", + "D ual", + "Ġstart led", + "Ġunderstand ably", + "Ġsung lasses", + "ETH OD", + "Ġd ocker", + "Ġsurf ing", + "ĠH EL", + "ĠSl ack", + "ton es", + "Ġsh alt", + "Vis ual", + "49 8", + "Dep artment", + "c ussion", + "Ġunrest ricted", + "Ġt ad", + "Ġre name", + "employ ed", + "Ġeduc ating", + "Ġgrin ned", + "bed room", + "ĠActiv ities", + "ĠV elvet", + "ĠSW AT", + "Ġsh uffle", + "ig or", + "Ġsatur ation", + "F inding", + "c ream", + "ic ter", + "Ġv odka", + "tr acking", + "te c", + "Ġfore ground", + "iest a", + "Ġve hement", + "ĠEC B", + "ĠT ie", + "E y", + "Ġt urtles", + "ĠRail road", + "ĠKat z", + "ĠFram es", + "Ġmen ace", + "ĠFell owship", + "ĠEss ential", + "ugg ish", + "Ġdri p", + "ch witz", + "ĠKy oto", + "s b", + "ĠN ina", + "Param eter", + "Ġal arms", + "ĠCl aud", + "Ġpione ering", + "Ġchief ly", + "ĠSc ream", + "Col lection", + "Ġthank fully", + "ĠRonald o", + "åŃ IJ", + "st rip", + "ĠDisney land", + "com mercial", + "See ing", + "S oul", + "Ġevac uate", + "Ġc iv", + "ĠAs he", + "Ġdiv ides", + "ĠD agger", + "rehens ive", + "Ġber ries", + "ĠD F", + "Ġs ushi", + "Ġplur ality", + "W I", + "Ġdisadvant aged", + "Ġbatt alion", + "ob iles", + "45 1", + "Ġcl ing", + "Ġunden iable", + "ĠL ounge", + "Ġha unt", + "p he", + "Ġquant ify", + "Ġdiff ered", + "Ġ[* ]", + "ĠV iz", + "c um", + "sl ave", + "Ġvide og", + "Ġqu ar", + "Ġbund les", + "ĠAl onso", + "t ackle", + "Ġneur onal", + "Ġlandsl ide", + "conf irmed", + "ĠDep th", + "Ġrenew ables", + "B ear", + "ĠMaced onia", + "Ġjer seys", + "Ġb unk", + "ĠSp awn", + "ĠControl s", + "ĠBuch anan", + "Ġrobot ics", + "Ġemphas izing", + "ĠTut orial", + "h yp", + "ist on", + "Ġmonument al", + "æ °", + "ĠCar ry", + "Ġt bsp", + "en ance", + "H ill", + "art hed", + "Ġro tten", + "De an", + "Ġtw isting", + "Ġgood will", + "Ġimm ersion", + "L iving", + "Ġbr ushes", + "ĠC GI", + "ĠAt k", + "tr aditional", + "Ġph antom", + "ĠSt amina", + "Ġexpans ions", + "ĠMar in", + "Ġembark ed", + "ĠE g", + "int estinal", + "ĠPE OPLE", + "ĠBo oth", + "ĠApp alach", + "Ġreleg ated", + "V T", + "M IT", + "Ġmust er", + "Ġwithdraw ing", + "Ġmicrosc ope", + "ĠG athering", + "ĠC rescent", + "ĠArgent ine", + "ĠDec re", + "ĠDomin ic", + "Ġbud s", + "ant age", + "ĠI on", + "Ġwid ened", + "ONS ORED", + "ĠGl oves", + "iann opoulos", + "raz en", + "fe el", + "Ġrepay ment", + "Ġhind sight", + "ĠRE ALLY", + "ĠPist ol", + "ĠBra h", + "Ġwat ts", + "Ġsurv ives", + "Ġfl urry", + "iss y", + "Al ert", + "ĠUrug uay", + "Ph oenix", + "S low", + "ĠG rave", + "ĠF ir", + "Ġmanage able", + "Ġtar iff", + "ĠU DP", + "ĠPist ons", + "ĠNiger ian", + "Ġstrike outs", + "Ġcos metics", + "whel ming", + "f ab", + "c ape", + "pro xy", + "Ġre think", + "Ġover coming", + "sim ple", + "Ġw oo", + "Ġdistract ing", + "ĠSt anton", + "ĠTuls a", + "ĠD ock", + "65 9", + "Ġdisc ord", + "ĠEm acs", + "ĠV es", + "ĠR OB", + "Ġreass uring", + "Ġcons ortium", + "Muslim s", + "3 21", + "Ġprompt s", + "se i", + "ĠH itch", + "imp osed", + "ĠF ool", + "Ġindisc rim", + "wr ong", + "bu querque", + "D avis", + "! ]", + "Ġtim eless", + "ĠNE ED", + "Ġpestic ide", + "Ġrally ing", + "ĠCal der", + "Ġå ¤", + "Ġx p", + "ĠUn le", + "ĠEx port", + "lu aj", + "B uff", + ") [", + "Ġsq or", + "S audi", + "Ġis tg", + "Ġindul ge", + "pro c", + "Ġdisg usted", + "Ġcomp ounded", + "Ġn em", + "Ġschool ing", + "ĠC ure", + "process ing", + "S ol", + "Ġpro verb", + "it ized", + "ĠAlv arez", + "Ġscar f", + "Ġrect angular", + "re ve", + "Ġh ormonal", + "ĠSt ress", + "itiz en", + "Ġ4 25", + "girl s", + "ĠNo ir", + "ĠR app", + "Ġmar ches", + "ch urch", + "ĠUs es", + "Ġ40 5", + "ĠBer m", + "Ġord inances", + "ĠJud gment", + "Charg es", + "ĠZ in", + "Ġdust y", + "Ġstraw berries", + "Ġper ce", + "ĠTh ur", + "ĠDebor ah", + "net flix", + "ĠLam bert", + "Ġam used", + "ĠGu ang", + "Y OU", + "R GB", + "ĠC CTV", + "Ġf iat", + "r ang", + "Ġf ederation", + "ĠM ant", + "ĠB ust", + "ĠM are", + "respect ive", + "ĠM igration", + "ĠB IT", + "59 0", + "Ġpatriot ism", + "Ġout lining", + "reg ion", + "ĠJos é", + "Ġbl asting", + "ĠEz ra", + "B s", + "Ġundermin es", + "ĠSm ooth", + "Ġcl ashed", + "rad io", + "Ġtransition ing", + "ĠBucc aneers", + "ĠOw l", + "Ġplug s", + "Ġh iatus", + "ĠPin ball", + "Ġm ig", + "ĠNut r", + "ĠWolf e", + "Ġinteg ers", + "Ġor bits", + "ĠEd win", + "ĠDirect X", + "b ite", + "Ġbl azing", + "v r", + "Ed ge", + "ĠP ID", + "ex it", + "ĠCom ed", + "ĠPath finder", + "ĠGu id", + "ĠSign s", + "ĠZ er", + "ĠAg enda", + "Ġreimburse ment", + "M esh", + "i Phone", + "ĠMar cos", + "ĠS ites", + "h ate", + "en burg", + "Ġs ockets", + "p end", + "Bat man", + "v ir", + "ĠSH OW", + "Ġprovision al", + "con n", + "ĠDeath s", + "AT IVE", + "Pro file", + "sy m", + "J A", + "Ġnin ja", + "inst alled", + "id ates", + "eb ra", + "ĠOm aha", + "Ġse izing", + "ĠBe asts", + "Ġsal ts", + "M ission", + "Gener ally", + "ĠTr ilogy", + "he on", + "leg ates", + "Ġd ime", + "Ġf aire", + "par able", + "G raph", + "Ġtotal ing", + "Ġdiagram s", + "ĠYan uk", + "ple t", + "ĠMe h", + "Ġmyth ical", + "ĠStep hens", + "aut ical", + "ochem istry", + "Ġkil ograms", + "Ġel bows", + "anc ock", + "ĠB CE", + "ĠPr ague", + "Ġimpro v", + "ĠDev in", + "Ġ\" \\", + "par alle", + "Ġsuprem acists", + "ĠB illion", + "Ġreg imen", + "inn acle", + "Ġrequ isite", + "ang an", + "ĠBur lington", + "ain ment", + "ĠObject ive", + "oms ky", + "G V", + "Ġun ilateral", + "Ġt c", + "Ġh ires", + "ment al", + "Ġinvol untary", + "Ġtrans pl", + "ĠASC II", + " ¨", + "Ev ents", + "Ġdoub ted", + "ĠKa plan", + "ĠCour age", + "ig on", + "ĠMan aging", + "ĠT art", + "Ġfalse hood", + "ĠV iolet", + "Ġair s", + "Ġfertil izer", + "Brit ain", + "Ġaqu atic", + "ou f", + "W ords", + "ĠHart ford", + "Ġeven ings", + "ĠV engeance", + "qu ite", + "G all", + "ĠP ret", + "Ġp df", + "ĠL M", + "ĠSo chi", + "ĠInter cept", + "9 20", + "Ġprofit ability", + "ĠId le", + "ĠMac Donald", + "ĠEst ablishment", + "um sy", + "Ġgather ings", + "ĠN aj", + "Charl ie", + "Ġas cent", + "ĠProt ector", + "Ġal gebra", + "Ġbi os", + "for ums", + "EL S", + "Introdu ced", + "Ġ3 35", + "Ġastron omy", + "Cont ribut", + "ĠPol ic", + "Pl atform", + "Ġcontain ment", + "w rap", + "Ġcoron ary", + "ĠJ elly", + "man ager", + "Ġheart breaking", + "c air", + "ĠChe ro", + "c gi", + "Med ical", + "ĠAccount ability", + "! !\"", + "oph ile", + "Ġpsych otic", + "ĠRest rict", + "Ġequ itable", + "iss ues", + "Ġ19 05", + "ĠN ek", + "c ised", + "ĠTr acking", + "Ġo zone", + "Ġcook er", + "ros is", + "Ġre open", + "Ġinf inity", + "ĠPharm aceutical", + "ens ional", + "Att empt", + "ĠR ory", + "Mar co", + "Ġawa its", + "H OW", + "t reated", + "Ġbol st", + "Ġreve red", + "Ġp ods", + "opp ers", + "00 10", + "Ġampl itude", + "ric an", + "SP ONSORED", + "Ġtrou sers", + "Ġhal ves", + "ĠK aine", + "ĠCut ler", + "ĠA UTH", + "Ġsplend id", + "Ġprevent ive", + "ĠDud ley", + "if acts", + "umin ati", + "ĠY in", + "Ġad mon", + "ĠV ag", + "Ġin verted", + "Ġhast ily", + "ĠH ague", + "L yn", + "Ġled ger", + "Ġastron omical", + "get ting", + "Ġcirc a", + "ĠC ic", + "ĠTenn is", + "Lim ited", + "Ġd ru", + "ĠBY U", + "Ġtrave llers", + "Ġp ane", + "ĠInt ro", + "Ġpatient ly", + "Ġa iding", + "Ġlo os", + "ĠT ough", + "Ġ29 3", + "Ġconsum es", + "Source File", + "Ġ\"\" \"", + "Ġbond ing", + "Ġtil ted", + "Ġmenstru al", + "ĠCel estial", + "UL AR", + "Plug in", + "Ġrisk ing", + "N az", + "ĠRiy adh", + "Ġacc redited", + "Ġsk irm", + "é Ľ", + "Ġexam iner", + "Ġmess ing", + "Ġnear ing", + "ĠC hern", + "ĠBeck ham", + "Ġsw apped", + "Ġgo ose", + "K ay", + "Ġlo fty", + "ĠWal let", + "Ġ[ '", + "Ġap ocalypse", + "Ġb amboo", + "ĠSP ACE", + "ĠEl ena", + "Ġ30 6", + "ac ons", + "Ġtight ened", + "Ġadolesc ence", + "Ġrain y", + "Ġvandal ism", + "ĠNew town", + "Ġcon ject", + "c akes", + "Ġche ated", + "Ġmoder ators", + "par ams", + "E FF", + "Ġdece it", + "ĠST L", + "ĠTanz ania", + "ĠR I", + "Ġ19 23", + "ĠEx ile", + "the l", + "Ġthe olog", + "Ġquir ky", + "ĠIr vine", + "Ġneed y", + "or is", + "U m", + "K a", + "Ġmail box", + "3 22", + "Ġb os", + "ĠPet ra", + "K ING", + "Ġenlarg ed", + "O ften", + "Ġbad ass", + "Ġ3 43", + "ĠPl aces", + "ĠC AD", + "Ġpr istine", + "Ġinterven ing", + "d irection", + "Ġl az", + "ĠD SM", + "Ġproject ing", + "ĠF unk", + "ag og", + "pay ment", + "n ov", + "Ġch atter", + "AR B", + "Ġexam inations", + "ĠHouse hold", + "ĠG us", + "F ord", + "4 14", + "B oss", + "Ġmy stic", + "Ġle aps", + "ĠB av", + "ul z", + "b udget", + "Foot ball", + "Ġsubsid ized", + "Ġfirst hand", + "Ġcoinc ide", + "oc ular", + "Con n", + "ĠColl abor", + "Ġfool s", + "am ura", + "ah ar", + "r ists", + "Ġsw ollen", + "Ġexp ended", + "ĠP au", + "s up", + "Ġsp ar", + "Ġkey note", + "s uff", + "Ġunequ al", + "Ġprogress ing", + "str ings", + "ĠGamer gate", + "Dis ney", + "ĠEle ven", + "om nia", + "Ġscript ed", + "Ġear ners", + "bro ther", + "ĠEn abled", + "æ ³", + "Ġlar vae", + "ĠL OC", + "m ess", + "Wil son", + "ĠTem plate", + "success fully", + "Ġparam ount", + "Ġcamoufl age", + "Ġbind s", + "ĠQu iet", + "ĠSh utterstock", + "r ush", + "Ġmasc ot", + "fort une", + "ĠCol t", + "ĠBe yon", + "hab i", + "Ġha irc", + "Ġ26 7", + "ĠDe us", + "Ġtw itch", + "Ġconcent rating", + "Ġn ipples", + "c ible", + "Ġg ir", + "N Z", + "M ath", + "n ih", + "Requ ired", + "Ġp onder", + "ĠS AN", + "Ġwedd ings", + "Ġl oneliness", + "N ES", + "ĠMah jong", + "69 5", + "add le", + "ĠGar ner", + "ĠC OUR", + "Br idge", + "Ġsp ree", + "ĠCald well", + "Ġbri bery", + "Ġ���� ����", + "plug ins", + "Ġr acket", + "Ġchamp agne", + "vers ible", + "V ote", + "Ġmod ifiers", + "May or", + "6 80", + "Ġassemb lies", + "ĠS ultan", + "ĠN ing", + "ĠLad ies", + "Ġsulf ur", + "Ġor bs", + "Ġ---- -", + "____ ___", + "ĠJournal ism", + "Ġes ports", + "Ġl ush", + "Ġh ue", + "Ġspect ral", + "H onest", + "ãĥ ı", + "Ġbus hes", + "Ġrein forcement", + "Ġre opened", + "ĠWhe els", + "ĠM org", + "rie ving", + "Ġaux iliary", + "Ġj Query", + "ĠB AT", + "tes que", + "Ġver tex", + "p ure", + "f rey", + "ãĤ º", + "d os", + "Ġty ph", + "Ġc ull", + "Ġe q", + "Ġdec on", + "Ġtoss ing", + "Ġdispar ate", + "ĠBr igham", + "print f", + "led ged", + "Ġsu nd", + "Ġco zy", + "Ġhepat itis", + "per forming", + "Ġav al", + "ĠG G", + "f uture", + "Ġpet ertodd", + "ĠKos ovo", + "Ġmagn ets", + "Al ready", + "ĠEd ison", + "ĠCe res", + "ĠRA ID", + "Ġbrill iance", + "57 6", + "Ġder ives", + "Ġhypert ension", + "ĠÎ Ķ", + "Ġlamb da", + "Ġfl air", + "Ġmission aries", + "Ġrap es", + "ĠSt arter", + "ĠMon ths", + "Ġdef y", + "Ġseism ic", + "ĠR aphael", + "Ġeuro zone", + "65 6", + "z sche", + "Ġscr atched", + "Ġb ows", + "ĠLenn on", + "ĠGa ia", + "Ġdri pping", + "f acts", + "A le", + "Ġfrog s", + "ĠBre ast", + "ogene ity", + "ĠProsecut or", + "Ġampl ified", + "ĠHod g", + "ĠF n", + "Th ousands", + "ĠNI H", + "ĠMonitor ing", + "FT WARE", + "ĠPri ebus", + "ĠG rowing", + "hun ter", + "Ġdiagn ose", + "ĠM ald", + "ĠL R", + "Ġcrown ed", + "Ġburst ing", + "Ġdiss olution", + "j avascript", + "Ġuseful ness", + "ĠExec ution", + ": (", + "ĠIv ory", + "a ah", + "Ġpersecut ed", + "viol ence", + "ist as", + "ĠCr ate", + "Ġimpuls es", + "ĠSp ani", + "ed es", + "Hand le", + "ĠZ erg", + "think able", + "Last ly", + "Ġspont aneously", + "Ġinconven ient", + "Ġdismiss ing", + "Ġpl otted", + "Ġeight y", + "Ġ7 37", + "r ish", + "ĠThor nton", + "ath am", + "Ġsit com", + "V en", + "Rec ipe", + "t el", + "l und", + "Ġcle ars", + "ĠSas uke", + "Ġ25 8", + "Ġopt ing", + "Ġen raged", + "est hetic", + "ĠA e", + "uch s", + "Pre p", + "Fl ow", + "Ġrun off", + "ĠE ating", + "ĠG iles", + "ĠAct ing", + "res ources", + "ib aba", + "Ġr pm", + "Ġske wed", + "ĠBl anc", + "ĠS akuya", + "Ġhot ter", + "Ġ19 24", + "op ian", + "ck o", + "Ġcr umbling", + "Ġcapt ains", + "ĠAppropri ations", + "le aders", + "dro pping", + "an uts", + "Ġrevers ing", + "ĠP ose", + "ĠS ek", + "Sc ot", + "ĠIde a", + "c ise", + "ĠSloven ia", + "Ġ3 17", + "Do ctor", + "Ġcro cod", + "ald i", + "Se a", + "ĠFar rell", + "Ġmerc enaries", + "ĠR NC", + "ĠGu ess", + "Ġp acing", + "M achine", + "Streamer Bot", + "ĠChar ity", + "Ġ29 8", + "Ġcann ons", + "ĠTob y", + "TPP StreamerBot", + "ĠPass ion", + "cf g", + "Th om", + "Ġbad ges", + "ĠBern stein", + ". âĢĵ", + "ĠP OP", + "ĠCon j", + "Ġinitial ization", + "Ġbiod iversity", + "D ub", + "Ġfeud al", + "Ġdisclaim er", + "Ġc row", + "Ġign ition", + "ar f", + "S HA", + "Ġk Hz", + "h azard", + "ĠArt ists", + "oe uv", + "67 9", + "ĠRud y", + "N ine", + "ĠRam adan", + "å ½", + "itt o", + "Ġadren aline", + "C ert", + "Ġsmell ed", + "Ġimp unity", + "Ġag endas", + "ĠRe born", + "ĠCon cent", + "ĠSe ems", + "Ġo mega", + "ĠDust in", + "Ġback er", + "ĠSau ce", + "ĠBoy le", + "W IN", + "Ġsp ins", + "Ġpa uses", + "u pt", + "Ġshred ded", + "Ġstra pped", + "ĠCor ruption", + "Ġscr atches", + "Ġn i", + "Ġatt ire", + "ĠS AF", + "Factory Reloaded", + "ĠI PS", + "Ġ( %", + "Ġsem inar", + "f ocus", + "c ivil", + "Ġ18 60", + "int osh", + "Ġcontin ual", + "Ġabbre vi", + "ĠS ok", + "oc obo", + "X M", + "Ġfr antic", + "Ġunavoid able", + "Ġar tery", + "Ġannot ations", + "b ath", + "Cl imate", + "Ġd ors", + "ĠSl ide", + "co ord", + "ĠRel oad", + "ĠL DL", + "ĠLove craft", + "Ġunim agin", + "Ġresemb led", + "Ġbarr acks", + "n p", + "Ġsurrog ate", + "Ġcategor ized", + "ãĤ ©", + "Ġvacc inated", + "Ġdrain age", + "Ġind ist", + "ĠWhats App", + "Ġ18 70", + "oler ance", + "inv oke", + "am orph", + "Ġrecon nect", + "Ġem anc", + "Ġblind ness", + "Ġ12 80", + "intern et", + "c ollar", + "Ġalt ru", + "Ġab yss", + "ĠT RI", + "65 7", + "Ġinf used", + "HE AD", + "Ġforest ry", + "ĠWood y", + "ĠC i", + "w i", + "s am", + "78 4", + "hol iday", + "Ġmog ul", + "ĠF ees", + "ĠD EN", + "In ternal", + "ur bed", + "f usc", + "at om", + "ĠIll usion", + "Ġpoll ed", + "Ġfl ap", + "Ġco ax", + "L GBT", + "An aly", + "ĠSect ions", + "ĠCalif orn", + "em n", + "Ġh ither", + "ĠN IGHT", + "Ġn ailed", + "ĠPip eline", + "39 1", + "o of", + "ĠPr imal", + "vere nd", + "Ġsl ashing", + "Ġret ri", + "avi our", + "Ġdepart ing", + "g il", + "IS C", + "Ġmid way", + "Ġultras ound", + "Ġbeh aving", + "ĠT ara", + "class es", + "V irtual", + "ĠColon ial", + "Ġstri pping", + "Ġorchestr ated", + "ĠGra ves", + "45 2", + "ĠIron ically", + "ĠWrit ers", + "Ġl ends", + "ĠMan z", + "Ġra ven", + "Ġoxid ative", + "Ġ26 6", + "EL F", + "act ually", + "asc ar", + "D raft", + "Ġfavour able", + "Ġhumili ating", + "Ġf idelity", + "ĠH of", + "ĠX uan", + "49 6", + "Ġlay ered", + "at is", + "79 0", + "Ġpay check", + "it on", + "K ar", + "ĠVM ware", + "ĠFar mer", + "Ġserv ic", + "gl omer", + "Ġsl ump", + "ĠFab ric", + "ĠD OC", + "est ing", + "Ġreass ure", + "Ġph yl", + "v olt", + "it ory", + "R ules", + "Ġoxid ation", + "Ġpri zed", + "Ġmist ress", + "ĠDj ango", + "WAR N", + "å ij", + "Ġenc ode", + "ĠFeed back", + "Ġstupid ity", + "I an", + "ĠYugoslav ia", + "× ¨", + "ac l", + "UT E", + "19 77", + "Ġqual ifies", + "Ġpuls es", + "pret ty", + "Ġfro ze", + "Ġs s", + "Iter ator", + "Ġur gently", + "Ġm ailed", + "ĠCh am", + "Ġsust aining", + "Ġbas il", + "Ġpupp ies", + "il ant", + "ĠP LEASE", + "l ap", + "ace ous", + "F ear", + "ĠMaster y", + "aut omatic", + "ĠT AG", + "Ġant im", + "ag les", + "47 3", + "fram es", + "Ġwh ispers", + "ĠWho ever", + "Ġbra very", + "ĠUK IP", + "ract ions", + "\"\" \"", + "Ġt ame", + "Ġpart ed", + "every thing", + "CON T", + "Ġind ebted", + "Ġadd r", + "re k", + "IR ED", + "Ġem inent", + "cl inton", + "Ġo usted", + "Ġreview er", + "Ġmelt down", + "Ġre arr", + "ĠY ao", + "the real", + "aby te", + "Ġst umbling", + "Ġbat ches", + "Ġ25 9", + "Ġcontrace ptive", + "Ġprost itute", + "ens is", + "De cl", + "ĠSt rikes", + "M ilitary", + "ĠO ath", + "v acc", + "pp ings", + "05 2", + "Ġpart Name", + "amp ing", + "Rep orts", + "K I", + "CH R", + "Ġsubt ly", + "sw ers", + "Bl ake", + "us ual", + "Ġcontest ants", + "Ġcart ridges", + "ĠGRE AT", + "Ġbl ush", + "ĠâĢ º", + "47 2", + "Ġreason ed", + "ãĥ ¤", + "paralle led", + "Ġd yn", + "ag ate", + "Ġnight ly", + "å Ĩ", + "55 6", + "Ġsem antic", + "ĠAdv oc", + "Ġ !!", + "Ġdisag rees", + "ĠB W", + "V eh", + "Ġharm ing", + "Ġembr aces", + "Ġstri ves", + "Ġin land", + "ĠK ard", + "Ġhe ats", + "ĠGin ny", + "ut an", + "ern aut", + "yl ene", + "ĠE lev", + "J D", + "Ġh ars", + "ĠStar r", + "Ġsk ysc", + "Ġcollabor ators", + "Us ually", + "Ġrev olutions", + "ĠSTAT S", + "Ġdism antle", + "Ġconfident ly", + "Ġkin etic", + "Al i", + "Ġpercent ile", + "Ġextract ing", + "ill ian", + "est ead", + "Ġphysic ists", + "ĠMarsh al", + "Ġfell owship", + "Ġd ashed", + "ĠU R", + "ĠSi oux", + "ĠComp act", + "am ide", + "P ython", + "ĠLe igh", + "ĠPharm ac", + "ist rates", + "her ical", + "Ġf ue", + "ĠE min", + "Ġ( {", + "ĠNeighbor hood", + "Ġdisrupt ing", + "ĠD up", + "Ġg land", + "ĠSe v", + "ĠMar ian", + "arg on", + "ĠD und", + "Ġ< !--", + "Ġstr and", + "Ġstadium s", + "z os", + "Ġpsych osis", + "ĠR ack", + "Ġbrilliant ly", + "ï¸ ı", + "Ġsubmer ged", + "ĠInst it", + "ĠCh ow", + "Ġc ages", + "ĠH ats", + "ĠU rs", + "Ġdil uted", + "us at", + "ien ne", + "ĠMembers hip", + "ĠBur k", + "Ġ ie", + "Ġarche type", + "D rug", + "ult on", + "ĠSp ock", + "ĠMcK ay", + "ĠDep end", + "F eatured", + "S oc", + "19 78", + "ĠB ere", + "Ġrelent lessly", + "Ġcripp ling", + "Ġar thritis", + "çĶ Ł", + "ĠTrop ical", + "ĠBul g", + "ĠCher yl", + "Ġadm irable", + "Ġsub title", + "Over ride", + "Ġorig inating", + "ĠC CP", + "Ġsw ore", + "ĠSo le", + "ĠDis orders", + "3 29", + "Ġprocess ion", + "Ġref urb", + "Ġimm ersed", + "requ ently", + "Ġskept ics", + "Ġcer amic", + "m itter", + "en stein", + "b elt", + "ĠT IT", + "b idden", + "Ġf ir", + "m ist", + "> ]", + "Ġwe ave", + "ĠParad ox", + "Ġentr usted", + "ĠBarcl ays", + "Ġnovel ist", + "og ie", + "80 6", + "Ġnin ety", + "Ġdisag reements", + "@@@@ @@@@", + "ĠAus chwitz", + "c ars", + "ĠL ET", + "t ub", + "arant ine", + "P OS", + "Ġback story", + "Ġcheer ful", + "ĠR ag", + "ek a", + "bi ased", + "Ġinexper ienced", + "ak ra", + "ĠW itt", + "t an", + "Ġrap ist", + "Ġplate au", + "ch al", + "ĠInqu is", + "exp ression", + "Ġc ipher", + "Ġsh aving", + "add en", + "re ly", + "( \\", + "ism a", + "ĠReg ulatory", + "CH AR", + "ily n", + "N VIDIA", + "G U", + "Ġmur m", + "la us", + "Christ opher", + "Ġcontract ual", + "ĠPro xy", + "ĠJa ime", + "ĠMethod ist", + "Ġstew ards", + "st a", + "per ia", + "Ġphys iology", + "Ġbump ed", + "Ġf ructose", + "Austral ian", + "ĠMet allic", + "ĠMas querade", + "ar b", + "Ġprom ul", + "Ġdown fall", + "Ġbut cher", + "Ġb our", + "ĠIN FORMATION", + "ĠB is", + "pect s", + "ad ena", + "Ġcontempl ating", + "ar oo", + "cent ered", + "ĠPe aks", + "Us ed", + "Ġmod em", + "Ġg enders", + "Ġ8 000", + "37 1", + "Ġm aternity", + "ĠR az", + "Ġrock ing", + "Ġhandgun s", + "ĠD ACA", + "Aut om", + "ĠN ile", + "Ġtum ult", + "ĠBenef it", + "ĠAppro ach", + "works hop", + "ĠLe aving", + "G er", + "inst ead", + "Ġvibr ations", + "Ġrep ositories", + "49 7", + "ĠA unt", + "ĠJ ub", + "ĠExp edition", + "Al pha", + "Ġs ans", + "Ġoverd ue", + "Ġoverc rowd", + "Ġlegisl atures", + "Ġp aternal", + "ĠLeon ardo", + "Ġexp ressive", + "Ġdistract ions", + "Ġsil enced", + "tr ust", + "Ġb iking", + "Ġ5 60", + "Ġpropri et", + "Ġimp osition", + "Ġcon glomer", + "Ġ= ================================================================", + "ĠTe aching", + "ĠY ose", + "int ensive", + "T own", + "Ġtroll ing", + "ĠGr ac", + "ĠAS US", + "Y o", + "Ġspecial s", + "ĠNep h", + "ĠGod zilla", + "Dat abase", + "ĠHe gel", + "Ġ27 2", + "19 76", + "ĠGl oria", + "Ġdis emb", + "ĠInvestig ations", + "ĠB ane", + "ag ements", + "St range", + "Ġtre asury", + "ĠPl ays", + "Ġundes irable", + "Ġwid ening", + "Ġverb ally", + "Ġinf ancy", + "Ġcut ter", + "f ml", + "Ġ21 00", + "prot otype", + "f ine", + "Ġdec riminal", + "Ġdysfunction al", + "Ġbes ie", + "ĠErn st", + "z eb", + "Ġnort heastern", + "Ġa ust", + "por ate", + "ĠMar lins", + "Ġsegreg ated", + "ew orld", + "ĠMa her", + "Ġtra verse", + "Ġmon astery", + "ur gy", + "G ear", + "s and", + "Com pl", + "ĠE MP", + "Ġpl ent", + "ĠMer cer", + "Ġ27 6", + "TA BLE", + "Config uration", + "H undreds", + "Ġpr ic", + "Ġcollabor ating", + "ĠPar amount", + "ĠCumm ings", + "Ġ( <", + "Ġrecord er", + "Ġfl ats", + "Ġ4 16", + "wh ose", + "Font Size", + "ĠOr bit", + "Y R", + "Ġwr ists", + "Ġb akery", + ") }", + "ĠB ounty", + "ĠLanc aster", + "Ġend ings", + "acc ording", + "ĠSal am", + "e asy", + "75 5", + "ĠBur r", + "ĠBarn ett", + "onom ous", + "Un ion", + "Ġpreced ence", + "ĠScholars hip", + "ĠU X", + "Ġroll out", + "Ġbo on", + "al m", + "ĠCan ter", + "æ µ", + "Ġround ing", + "Ġcl ad", + "Ġv ap", + "ĠF eatured", + "is ations", + "Ġ5 40", + "pol ice", + "Ġunsett ling", + "Ġdr ifting", + "ĠLum ia", + "ĠObama Care", + "ĠF avor", + "Hy per", + "ĠRoth schild", + "ĠMil iband", + "an aly", + "ĠJul iet", + "H u", + "Ġrec alling", + "a head", + "69 6", + "Ġunf avorable", + "Ġd ances", + "O x", + "Ġleg ality", + "Ġ40 3", + "rom ancer", + "Ġinqu ire", + "ĠM oves", + "\\ \">", + "ĠVari ant", + "ĠMess iah", + "ĠL CS", + "ĠBah á", + "75 6", + "Ġeyeb row", + "Ġ ¥", + "ĠMc F", + "ĠFort y", + "M as", + "Ġpan icked", + "Ġtransform ations", + "q q", + "Ġrev olves", + "ring e", + "ĠA i", + "ax e", + "Ġon ward", + "ĠC FR", + "ĠB are", + "log in", + "Ġliqu ids", + "Ġde comp", + "second ary", + "il an", + "ĠCon vert", + "ami ya", + "Ġprosecut ing", + "Ġâī ¡", + "ĠYork ers", + "ĠByr ne", + "sl ow", + "aw ei", + "J ean", + "Ġ26 9", + "ĠSky dragon", + "Ġ é", + "ĠNicarag ua", + "ĠHuck abee", + "ĠHigh ly", + "Ġamph ib", + "ĠPast or", + "ĠL ets", + "Ġbl urred", + "Ġvisc eral", + "ĠC BO", + "Ġcollabor ated", + "z ig", + "Leg al", + "Ġapart heid", + "Ġbr id", + "Ġpres et", + "ĠD ET", + "ĠAM A", + "× Ķ", + "arch ing", + "auc uses", + "build er", + "Ġpo etic", + "Ġem ulator", + "ĠMole cular", + "Ġhon oring", + "ise um", + "Ġtract or", + "ĠCl uster", + "ĠCal m", + "ared evil", + "Ġsidew alks", + "Ġviol in", + "Ġgeneral ized", + "ĠAle c", + "Ġemb argo", + "Ġfast ball", + "ĠHT TPS", + "ĠL ack", + "ĠCh ill", + "ri ver", + "C hel", + "ĠSw arm", + "ĠLev ine", + "ro ying", + "L aunch", + "Ġkick er", + "Ġadd itive", + "ĠDe als", + "W idget", + "cont aining", + "Ġescal ate", + "ĠOP EN", + "Ġtwe aked", + "Ġst ash", + "Ġsp arks", + "ĠEs sex", + "ĠE cc", + "Ġconv ict", + "Ġblog ging", + "I ER", + "ĠH L", + "Ġmurd erers", + "75 9", + "ĠH ib", + "Ġde pl", + "ĠJ ord", + "S ac", + "Ġdis sect", + "ĠHow e", + "os her", + "Ġcustom izable", + "ĠFran z", + "Ġat ro", + "Ä ĩ", + "Ġ000 4", + "Ġout post", + "R oss", + "Ġglyph osate", + "ĠHast ings", + "ĠBE FORE", + "Ġsh ove", + "o pped", + "ĠSc ala", + "Ġam ulet", + "an ian", + "Ġexacerb ated", + "Ġe ater", + "47 1", + "UM E", + "Ġpul p", + "izont al", + "ĠZ am", + "ĠAT I", + "imm une", + "aby tes", + "Ġunnecess arily", + "ĠC AT", + "ĠAx is", + "Ġvisual ize", + "à ī", + "ĠRad ical", + "f m", + "Doc uments", + "ĠFor rest", + "Ġcontext ual", + "ĠSy mbol", + "Ġtent ative", + "ĠDO ES", + "ĠGood s", + "Ġintermitt ent", + "} :", + "medi ated", + "Ġridic ule", + "Ġathe ism", + "Ġpath ogens", + "ĠM um", + "Ġre introdu", + "Ġ30 7", + "i HUD", + "Ġflash light", + "Ġsw earing", + "Ġp engu", + "B u", + "Ġrot ated", + "ĠCr ane", + "Ġ() );", + "Ġfashion able", + "Ġendors ing", + "46 3", + ") [", + "Ġingest ion", + "Ġcook s", + "Ġ9 50", + "ot omy", + "ĠIm am", + "Ġk a", + "Ġte aser", + "ĠGhost s", + "ĠãĤ µ", + "19 69", + "Ï ĥ", + "ub by", + "Ġconver ter", + "zan ne", + "end e", + "ĠPre par", + "ĠNic kel", + "ĠChim era", + "h im", + "ĠTyr ann", + "ĠSabb ath", + "ĠNich ols", + "Ġra pt", + "ih ar", + "Ġshe lling", + "Ġillum inate", + "Ġdent ist", + "ut or", + "ĠInteg ration", + "Ġwh ims", + "ĠLiter ary", + "Be aut", + "Ġp archment", + "ag ara", + "Br and", + "Ġder og", + "âĢ¦ )", + "ĠNor se", + "Ġunw itting", + "Ġc uc", + "Ġborder line", + "Ġupset ting", + "Ġrec ourse", + "Ġd raped", + "ĠRad ar", + "Ġcold er", + "ĠPep si", + "im inary", + "], [", + "65 8", + "V i", + "ĠF rem", + "ĠP es", + "Ġveter inary", + "ĠT ED", + "ĠEp idem", + "n ova", + "k id", + "Ġdev out", + "o ct", + "j ad", + "M oh", + "ĠP AY", + "Ġge ometric", + "Ġ3 23", + "Ġcircum ference", + "ich ick", + "19 75", + "ĠY uri", + "ĠSh all", + "ĠH over", + "un in", + "S pr", + "Ġg raft", + "ĠHapp iness", + "Ġdisadvant ages", + "att acks", + "Ġhub s", + "ĠStar Craft", + "é ĸ", + "Ġgall eries", + "ĠKor ra", + "Ġgrocer ies", + "ĠGors uch", + "Ġrap ists", + "Ġfun gi", + "ĠTyph oon", + "V ector", + "ĠEm press", + "b attle", + "4 68", + "Ġparas ite", + "ĠBom ber", + "S G", + "ex ist", + "ĠP f", + "Ġun se", + "Ġsurge ons", + "B irth", + "ĠUn sure", + "ĠPrint ed", + "ĠBehavior al", + "ĠA ster", + "Pak istan", + "Ġun ethical", + "Ġs v", + "ĠIo T", + "Ġlay outs", + "P ain", + "Ġconst ants", + "ĠL W", + "ĠB ake", + "Ġtow els", + "Ġdeterior ation", + "ĠBol ivia", + "Ġblind ed", + "ĠW arden", + "ĠMist ress", + "Ġon stage", + "Ġcl ans", + "ĠB EST", + "19 60", + "Ġant ique", + "Ġrhet orical", + "ĠPer cy", + "ĠRw anda", + ", .", + "B ruce", + "Ġtra umat", + "ĠParliament ary", + "Ġfoot note", + "id ia", + "ĠLear ned", + "se eking", + "gen ic", + "Ġdim ensional", + "H ide", + "èĢ ħ", + "Ġintrig ue", + "in se", + "Ġle ases", + "Ġapp rentices", + "w ashing", + "Ġ19 26", + "V ILLE", + "Ġsw oop", + "s cl", + "Ġbed rooms", + "on ics", + "ĠCr unch", + "comp atible", + "Ġincap ac", + "ĠYemen i", + "ash tra", + "z hou", + "d anger", + "Ġmanifest ations", + "ĠDem ons", + "AA F", + "Secret ary", + "ACT ED", + "L OD", + "Ġam y", + "ra per", + "eth nic", + "4 17", + "Ġpos itives", + "Ġ27 3", + "ĠRefuge es", + "Ġus b", + "ĠV ald", + "odd y", + "ĠMahm oud", + "As ia", + "Ġskull s", + "ĠEx odus", + "ĠComp et", + "ĠL IC", + "ĠM ansion", + "ĠA me", + "Ġconsolid ate", + "storm s", + "ont ent", + "99 6", + "Ġcl en", + "Ġm ummy", + "fl at", + "75 8", + "ĠV OL", + "oter ic", + "n en", + "ĠMin ute", + "S ov", + "Ġfin er", + "R h", + "ly cer", + "Ġreinforce ments", + "ĠJohann es", + "ĠGall agher", + "Ġgym n", + "S uddenly", + "Ġext ortion", + "k r", + "i ator", + "T a", + "Ġhippocamp us", + "N PR", + "ĠComput ing", + "Ġsquare ly", + "Ġmod elling", + "ĠFor ums", + "ĠL isp", + "ĠKrish na", + "Ġ3 24", + "Ġr ushes", + "Ġens ued", + "Ġcre eping", + "on te", + "n ai", + "il ater", + "ĠHorn ets", + "Ġob livious", + "IN ST", + "55 9", + "Ġjeopard y", + "Ġdistingu ishing", + "j ured", + "Ġbeg s", + "sim ilar", + "ph ot", + "5 30", + "ĠPark way", + "Ġs inks", + "ĠHearth stone", + "ib ur", + "ĠBat on", + "Av oid", + "Ġd ancer", + "Ġmag istrate", + "ary n", + "Ġdisturb ances", + "ĠRom ero", + "Ġpar aph", + "Ġmis chief", + "âĸ ĵ", + "ĠSh aria", + "Ġur inary", + "r oute", + "iv as", + "f itted", + "Ġeject ed", + "ĠAl buquerque", + "Ġ4 70", + "Ġirrit ated", + "ĠZ ip", + "ĠB iol", + "à į", + "Ġden ounce", + "Ġbin aries", + "ĠVer se", + "Ġopp os", + "ĠKend rick", + "ĠG PL", + "Ġsp ew", + "ĠEl ijah", + "ĠE as", + "Ġdr ifted", + "so far", + "Ġannoy ance", + "ĠB ET", + "47 4", + "ĠSt rongh", + "it ates", + "ĠCogn itive", + "oph one", + "ĠIdent ification", + "ocr ine", + "connect ion", + "Ġbox er", + "ĠAS D", + "ĠAre as", + "Y ang", + "t ch", + "ull ah", + "Ġdece ive", + "Comb at", + "ep isode", + "cre te", + "W itness", + "Ġcondol ences", + "ht ar", + "Ġhe als", + "Ġbuck ets", + "ĠLA W", + "B lu", + "Ġsl ab", + "ĠOR DER", + "oc l", + "att on", + "ĠSteven son", + "ĠG inger", + "ĠFriend ly", + "ĠVander bilt", + "sp irit", + "ig l", + "ĠReg arding", + "ĠPR OG", + "Ġse aling", + "start ing", + "Ġcard inal", + "ĠV ec", + "ĠBe ir", + "Ġmillisec onds", + "we ak", + "per se", + "Ġster ile", + "ĠCont emporary", + "ĠPh ant", + "ĠCl o", + "Ġout p", + "Ġex iled", + "Ġ27 7", + "Ġself ie", + "Ġman ic", + "Ġn ano", + "ter ms", + "Alex ander", + "Ġres olves", + "Ġmillenn ia", + "Ġexpl odes", + "Ġconst ellation", + "Ġadul tery", + "m otion", + "D OC", + "Ġbroad casters", + "Ġkinderg arten", + "ĠMay weather", + "ĠE co", + "ich o", + "Ġ28 7", + "l aun", + "Ġm ute", + "Ġdisc reet", + "Ġpres chool", + "Ġpre empt", + "De lete", + "ĠFre ed", + "P i", + "H K", + "Ġblock er", + "ĠC umber", + "Ġw rought", + "d ating", + "Ġins urer", + "Ġquot as", + "Ġpre ached", + "Ġev iction", + "ĠReg ina", + "ĠP ens", + "Ġsevent een", + "ĠN ass", + "D ick", + "Ġfold s", + "Ġd otted", + "ĠA ad", + "Un iversal", + "Ġp izz", + "ĠG uru", + "Ġso ils", + "Ġno vice", + "ĠNe ander", + "Ġst ool", + "Ġdeton ated", + "ĠPik achu", + "ĠMass ive", + "IV ER", + "ĠAb del", + "Ġsubdu ed", + "Ġtall est", + "Ġprec arious", + "Ġa y", + "r ification", + "ĠOb j", + "c ale", + "Ġun question", + "cul osis", + "ad as", + "igr ated", + "D ays", + "Ġque ens", + "ĠGaz ette", + "ĠCol our", + "ĠBow man", + "ĠJ J", + "ï ve", + "Ġdomin ates", + "Stud ent", + "Ġm u", + "Ġback log", + "ĠElect ro", + "Tr uth", + "48 3", + "Ġcond ensed", + "r ules", + "ĠCons piracy", + "Ġacron ym", + "hand led", + "ĠMat te", + "j ri", + "ĠImp ossible", + "l ude", + "cre ation", + "Ġwar med", + "ĠSl ave", + "Ġmis led", + "Ġfer ment", + "ĠK ah", + "ink i", + "ke leton", + "cy l", + "ĠKar in", + "Hun ter", + "Reg ister", + "ĠSur rey", + "Ġst ares", + "ĠW idth", + "ĠN ay", + "ĠSk i", + "Ġblack list", + "uck et", + "Ġexp ulsion", + "im et", + "Ġret weet", + "vant age", + "Fe ature", + "Ġtro opers", + "Ġhom ers", + "9 69", + "Ġconting ency", + "ĠW TC", + "ĠBrew er", + "fore ign", + "W are", + "S olar", + "Ġund ue", + "RE C", + "ulner able", + "path ic", + "ĠBo ise", + "Ġ3 22", + "Ġarous ed", + "ĠY ing", + "ä¸ į", + "uel ess", + "Ġp as", + "Ġmor p", + "Ġfl oral", + "Ex press", + "ud ging", + "k B", + "ĠGr anted", + "Ø ¯", + "ĠMich a", + "ĠGoth ic", + "ĠSPEC IAL", + "ĠRic ardo", + "F ran", + "Ġadminister ing", + "6 20", + "por a", + "Ġ ®", + "Ġcomprom ises", + "Ġb itten", + "Ac cept", + "Th irty", + "Ð ²", + "Ġmater ially", + "ĠTer r", + "ig matic", + "ch ains", + "Ġdo ve", + "stad t", + "Mar vel", + "FA ULT", + "Ġwind shield", + "Ġ3 36", + "ad ier", + "Ġsw apping", + "Ġflaw less", + "ĠPred ator", + "ĠMiche le", + "Ġprop ulsion", + "ĠPsych ic", + "Ġassign ing", + "Ġfabric ation", + "Ġbar ley", + "l ust", + "Ġtow ering", + "Ġalter cation", + "ĠBent ley", + "Sp here", + "Ġtun a", + "ĠClass es", + "Fre edom", + "un er", + "L ady", + "v oice", + "Ġcool est", + "or r", + "Ġpal p", + "$ {", + "Ġhyster ia", + "ĠMet atron", + "p ants", + "Ġspawn ing", + "Exper ts", + "ĠInvest ors", + "ĠAn archy", + "Ġshr unk", + "ĠVict im", + "Ġ28 9", + "Ġec stasy", + "ĠB inding", + "58 5", + "ĠMel ody", + "57 8", + "ot ally", + "ĠE tsy", + "lig a", + "Ġapplaud ed", + "Ġswe ating", + "Ġredist ributed", + "Ġpop corn", + "Ġsem inal", + "f ur", + "ĠNeuro science", + "R and", + "ĠO st", + "ĠMadd en", + "ĠIncre asing", + "ĠDaw kins", + "ĠSub way", + "Ġar sen", + "cons erv", + "B UR", + "Ġsp iked", + "ĠLy ft", + "ĠImper ium", + "ĠDrop box", + "Ġfav oured", + "Ġencomp asses", + "gh ost", + "Ġins pires", + "Ġbur geoning", + "ĠY oshi", + "ĠVert ical", + "ĠAud itor", + "Ġint ending", + "Ġfilib uster", + "Bl oom", + "f ac", + "ĠCav s", + "ign ing", + "Ġcowork ers", + "ĠBarb arian", + "rem ember", + "FL AG", + "Ġaudit ory", + "ason ry", + "Col lege", + "Ġmut ed", + "gem ony", + "ob in", + "ĠPsych o", + "9 68", + "Ġlav ish", + "Ġhierarch ical", + "ĠDr one", + "ou k", + "Ġcripp led", + "ĠMax im", + "Sl ot", + "Ġqu iz", + "ĠV id", + "if ling", + "Ġarchae ologists", + "Ġabandon ment", + "d ial", + "le on", + "ĠF as", + "T ed", + "Ġr aspberry", + "Ġmaneu vers", + "Ġbehavi ours", + "Ġins ure", + "Ġrem od", + "Sw itch", + "h oe", + "Ġsp aced", + "Ġafford ability", + "ĠF ern", + "not ation", + "ĠBal anced", + "Ġoccup ies", + "en vironment", + "Ġneck lace", + "Ġsed an", + "F U", + "ĠBrav o", + "Ġab users", + "ĠAn ita", + "met adata", + "ĠG ithub", + "ait o", + "ĠF aster", + "ĠWass erman", + "ĠF lesh", + "Ġth orn", + "r arily", + "ĠMer ry", + "w ine", + "Ġpopul ace", + "ĠL ann", + "Ġrepair ing", + "Ġpsy che", + "Ġmod ulation", + "aw aru", + "âĢĭ âĢĭ", + "ari j", + "Ġdecor ations", + "Ġapolog ise", + "ĠG arg", + "app ly", + "Ġgive away", + "ĠFl an", + "ĠWy att", + "U ber", + "Ġauthor ised", + "ĠMor al", + "HAHA HAHA", + "activ ate", + "Ġtorped o", + "ĠF AR", + "Ġam assed", + "ĠA ram", + "ark in", + "ĠVict ims", + "st ab", + "Ġo m", + "ĠE CO", + "Ġopio ids", + "Ġpurpose ly", + "ĠV est", + "Ġer g", + "at an", + "ĠSur gery", + "Ġcorrect ing", + "ĠOrt iz", + "ĠBe et", + "Ġrev oke", + "Ġfre eway", + "ĠH iggins", + "F ail", + "ĠFar ms", + "ĠAT P", + "h ound", + "Ġp oking", + "ĠCommun ists", + "mon ster", + "iment ary", + "Ġunlock ing", + "Ġunf it", + "we ed", + "en ario", + "at ical", + "ĠEnlight enment", + "ĠN G", + "ĠComp ensation", + "de en", + "ĠWid ow", + "ĠCind y", + "ĠAfter wards", + "Ġ6 000", + "ikh ail", + "ag ically", + "Ġrat ified", + "Ġcasual ty", + "H OME", + "p sey", + "f ee", + "Ġspark ling", + "Ġd é", + "Ġconcert ed", + "C atal", + "Ġcomp lying", + "ĠA res", + "ĠD ent", + "Sh ut", + "Ġsk im", + "ad minist", + "Ġhost ilities", + "ĠG ins", + "Ġ6 08", + "Ġm uddy", + "ĠMc Int", + "ĠDec ay", + "5 25", + "Ġconspic uous", + "ĠEx posure", + "Ġresc ind", + "Ġwear able", + "Ġ3 28", + "our met", + "ah s", + "ĠRob ots", + "Ġe clips", + "inst ance", + "ĠRE PORT", + "ĠApp l", + "0 30", + "ĠSk ies", + "01 00", + "Ġfall acy", + "S ocket", + "ĠRece iver", + "Ġsol ves", + "ĠButter fly", + "ĠSho pping", + "ĠFI RE", + "65 4", + "Med ic", + "Ġsing ers", + "ĠNeed less", + "'' ''", + "isher s", + "ĠD ive", + "58 8", + "Ġselect ively", + "Ġcl umsy", + "88 9", + "Ġpurch aser", + "ear ned", + "ard y", + "Ġbenef iting", + "eng lish", + "Ġyield ing", + "ĠP our", + "Ġspin ach", + "Ġdel ve", + "ĠC rom", + "6 10", + "Ġexport ing", + "ĠMA KE", + "Ġ26 3", + "Ġg rop", + "Ġenv oy", + "ĠInqu iry", + "ĠLu igi", + "d ry", + "ĠT uring", + "Thumbnail Image", + "ĠVar iety", + "Ġfac et", + "Ġfl uffy", + "Ġexcerpt s", + "Ġsh orth", + "ĠOl sen", + "CL UD", + "Ġrel iant", + "ĠUN C", + "T our", + "Ġbat hing", + "Comp any", + "Ġglobal ization", + "P red", + "ĠMalf oy", + "Ġh oc", + "j am", + "craft ed", + "ĠBond s", + "ĠKiss inger", + "Eng land", + "Ġorder ly", + "cat entry", + "Ġ26 1", + "Ġexch anging", + "ĠInt ent", + "ĠAmend ments", + "D OM", + "Ġst out", + "³³³³³³³³ ³³³³³³³³", + "ĠAir bus", + "Ġ27 8", + "hy de", + "P oll", + "Item ThumbnailImage", + "Ġlooph oles", + "ĠPill ar", + "Ġexpl or", + "St retch", + "A part", + "Ġun married", + "Lim it", + "ĠTransform ers", + "Ġintellect ually", + "unct ure", + "18 00", + "Ġd arn", + "B razil", + "Ġleft over", + "ber us", + "f red", + "Mine craft", + "3 26", + "ĠForm s", + "Ġproof s", + "ĠDes igned", + "Ġindex es", + "ĠSupp ose", + "EM S", + "ĠL oving", + "ĠBon nie", + "im ating", + "OT US", + "Ġconduct or", + "Ġbehav ed", + "ĠF ren", + "Ġsy nerg", + "Ġmillenn ium", + "Ġcater ing", + "ĠL auder", + "W r", + "ĠY iannopoulos", + "ĠAT F", + "Ġensl aved", + "Ġawaken ed", + "D VD", + "ĠED ITION", + "ĠConc ert", + "ĠChall enger", + "ĠH aku", + "umer ic", + "Ġdep recated", + "ĠSH AR", + "4 12", + "Ġdy stop", + "Ġtremb ling", + "Ġdread ed", + "ĠSp ac", + "p adding", + "Re pl", + "ĠG arrison", + "M ini", + "Ġun paralleled", + "am ar", + "URR ENT", + "w reck", + "c ertain", + "t al", + "ĠC LS", + "app ings", + "Ġsens ed", + "Ġf encing", + "ĠPas o", + "ĠDes k", + "Ġsc off", + "Ġcontem plate", + "ĠL iga", + "l iquid", + "75 7", + "Ġapp rentice", + "ĠUCH IJ", + "5 70", + "ĠTh ousand", + "ĠIll um", + "Ġchampion ed", + "ãĤ Į", + "Ġelect ors", + "Ġ3 98", + "ĠH ancock", + "round ed", + "ĠJ OHN", + "Ġuns atisf", + "Ġqual ifier", + "ĠGad get", + "EN E", + "Ġdead liest", + "ĠPl ants", + "Ġ ions", + "Ġacc ents", + "Ġtwe aking", + "Ġsh aved", + "F REE", + "ĠCh aser", + "Again st", + "9 60", + "Ġmeth amphetamine", + "Ġnormal ized", + "Ġ$ \\", + "ĠPre cision", + "ĠGu am", + "Ġch oked", + "ĠX II", + "ĠCast ing", + "Tor rent", + "Ġscal p", + "ĠJagu ar", + "w it", + "Ġsem ic", + "ix ie", + "ĠG ould", + "Ġconf ines", + "N usra", + "ĠL on", + "ĠJ ugg", + "y cle", + "ĠCod ec", + "E gypt", + "Ġrest rain", + "ĠAl iens", + "Ġch oking", + "ĠD unk", + "ĠBell a", + "ab c", + "Ġsl ang", + "Ġneuro trans", + "s av", + "Ġempower ment", + "â ĨĴ", + "Ġclim bers", + "ĠM im", + "ĠF ra", + "ros se", + "Cap ital", + "ĠCth ulhu", + "Inter face", + "Ġprof icient", + "ĠIN TO", + "Ġ3 18", + "ront al", + "5 80", + "ĠDes pair", + "K enn", + "Ġscrim mage", + "ĠCo at", + "as ions", + "Ġwall paper", + "ĠJ ol", + "Ġresurg ence", + "Ġant iv", + "ĠB alls", + "² ¾", + "Ġbuff ers", + "Ġsub system", + "ĠSt ellar", + "ĠL ung", + "A IDS", + "Ġerad icate", + "Ġblat antly", + "Ġbehav es", + "ĠN un", + "Ġant ics", + "ex port", + "DE V", + "w b", + "Ġph p", + "ĠInteg rity", + "Ġexplore r", + "Ġrev olving", + "auth ored", + "g ans", + "Ġbas k", + "Ġas ynchronous", + "å į", + "TH ING", + "69 8", + "G ene", + "ĠR acer", + "ĠN ico", + "iss ued", + "Ġser mon", + "p ossibly", + "Ġsize of", + "Ġentrepreneur ial", + "ox in", + "ĠMin erva", + "Ġpl atoon", + "n os", + "ri ks", + "A UT", + "ĠAval anche", + "ĠDes c", + "ij 士", + "ĠP oc", + "Ġconf erred", + "Î »", + "Ġpat ched", + "F BI", + "66 2", + "Ġfract ures", + "Ġdetect s", + "Ġded icate", + "Ġconstitu ent", + "Ġcos mos", + "W T", + "Ġswe ats", + "Ġspr ung", + "b ara", + "s olid", + "Ġuns us", + "Ġbul ky", + "ĠPhilipp e", + "ĠFen rir", + "Ġtherap ists", + "ore al", + "^^ ^^", + "Ġtotal ed", + "Ġboo ze", + "ĠR PC", + "Prosecut ors", + "Ġdis eng", + "ĠSh ared", + "Ġmotor cycles", + "Ġinvent ions", + "Ġlett uce", + "ĠMer ge", + "ĠJ C", + "Ġspiritual ity", + "ĠWAR NING", + "Ġunl ucky", + "ĠT ess", + "Ġtong ues", + "ĠD UI", + "T umblr", + "Ġle ans", + "Ġinv aders", + "Ġcan opy", + "ĠHur ricanes", + "ĠB ret", + "ĠAP PLIC", + "id ine", + "ick le", + "Reg arding", + "Ġve ggies", + "Ġe jac", + "ju ven", + "F ish", + "D EM", + "ĠD ino", + "Th row", + "ĠCheck ing", + "be ard", + "( &", + "Ġj ails", + "Ġh r", + "trans fer", + "iv ating", + "Ġfle ets", + "ĠIm ag", + "ĠMc Donnell", + "Ġsnipp et", + "Is a", + "ĠCh att", + "ĠSt ain", + "ĠSet FontSize", + "ĠO y", + "ĠMathemat ics", + "49 4", + "Ġelectro ly", + "ĠG ott", + "ĠBr as", + "B OOK", + "ĠF inger", + "d ump", + "Ġmut ants", + "Ġrent als", + "Ġinter tw", + "Ġc reek", + "ail a", + "Bro ther", + "ĠDisc ord", + "pe e", + "raw ler", + "Ġcar p", + "Ġ27 9", + "ãĤ· ãĥ£", + "rel ations", + "Ġcontr asts", + "Col umn", + "Ġrec onnaissance", + "Ġun know", + "Ġl ooting", + "Ġregul ates", + "Ġopt imum", + "ĠChero kee", + "ĠA ry", + "Lat est", + "Ġroad side", + "Ġd anced", + "ĠUnic orn", + "A cknowled", + "Ġuncont roll", + "ĠM US", + "at io", + "ch ance", + "ha ven", + "VAL UE", + "Ġfavour ites", + "Ġceremon ial", + "b inary", + "pe ed", + "wood s", + "EM P", + "Ġv ascular", + "Ġcontempl ated", + "Ġbar ren", + "ĠL IST", + "Y ellow", + "ospons ors", + "Ġwhisk y", + "ĠM amm", + "ĠDeV os", + "min imum", + "H ung", + "44 2", + "P ic", + "ĠSnap dragon", + "77 6", + "Ġcar ving", + "Ġund ecided", + "Ġadvantage ous", + "Ġpal ms", + "ĠA Q", + "Ġst arch", + "L oop", + "Ġpadd le", + "Ġfl aming", + "ĠHor izons", + "An imation", + "bo ost", + "Ġprob abilities", + "ĠM ish", + "Ġex odus", + "ĠEditor ial", + "Ġfung us", + "Ġdissent ing", + "ĠDel icious", + "rog ram", + "ĠD yn", + "d isk", + "t om", + "Ġfab rics", + "ĠC ove", + "ĠB ans", + "Ġsoft en", + "ĠCON S", + "Ġin eligible", + "Ġestim ating", + "ĠLex ington", + "pract ice", + "of i", + "Ġshe dding", + "ĠN ope", + "Ġbreat hed", + "ĠCorinth ians", + "y ne", + "ek i", + "B ull", + "Ġatt aching", + "reens hots", + "Ġanaly se", + "ĠK appa", + "Ġuns ustainable", + "Ġinter pol", + "ank y", + "he mer", + "Ġprot agonists", + "Ġform atted", + "ĠBry ce", + "ĠAch illes", + "ĠAb edin", + "sh ock", + "Ġb um", + "b os", + "qu a", + "ĠW arn", + "q t", + "ĠDi abetes", + "8 64", + "ĠIn visible", + "Ġvan ish", + "Ġtrans mitting", + "Ġmur ky", + "ĠFe i", + "Ġawa ited", + "ĠJur assic", + "umm ies", + "Ġmen acing", + "g all", + "C ath", + "B uilt", + "ild o", + "ĠV otes", + "Ġon t", + "Ġmun itions", + "ĠFre em", + "ÃŃ n", + "Ġdec ency", + "lo pp", + "ie ved", + "ĠG ord", + "Ġun thinkable", + "ĠNews week", + "Ġ3 21", + "He at", + "Ġpresent er", + "ji ang", + "Ġpl ank", + "ĠAval on", + "Ġben z", + "ĠR out", + "Ġslam ming", + "ĠD ai", + "ou ter", + "ĠCook ie", + "ĠAlic ia", + "ge y", + "Ġvan ity", + "Ġow l", + "á µ", + "t ested", + "ĠAw akens", + "Ġcan v", + "Ġblind ly", + "ĠRid ley", + "ĠEm ails", + "Requ ires", + "ĠSer bian", + "ograp hed", + "if rame", + "eter ia", + "Ġaltern ating", + "qu iet", + "Ġsoc iology", + "ĠUn lock", + "ĠCommun ism", + "Ġo ps", + "Ġatt ribution", + "Ġab duction", + "ĠAb ram", + "Ġsidel ined", + "ĠB OOK", + "Ġref ining", + "ĠFe eling", + "ĠOs lo", + "ĠPru itt", + "r ack", + "ang ible", + "Ġcaut iously", + "ĠM ARK", + "eed s", + "M ouse", + "ĠStep h", + "ĠP air", + "S ab", + "99 7", + "ĠBa al", + "B ec", + "Ġcomm a", + "ĠP all", + "ĠG ael", + "Ġmisunder stand", + "ĠP esh", + "Order able", + "Ġdis mal", + "ĠSh iny", + "% \"", + "Ġreal istically", + "Ġpat io", + "ĠG w", + "ĠVirt ue", + "Ġexhaust ing", + "wh atever", + "oph ys", + "y ip", + "4 18", + "Ad just", + "ĠWa iting", + "ess on", + "ĠMaz da", + "ĠDo zens", + "Ġstream lined", + "Ġincompet ence", + "ĠM eth", + "Ġeth os", + "ON ES", + "Ġincent iv", + "Ġgr itty", + "ĠBut cher", + "Head er", + "Ġexp onential", + "à Ł", + "Ġcorrel ate", + "Ġcons ensual", + "s ounding", + "R ing", + "Orig in", + "Ġcon clusive", + "fe et", + "ac ly", + "ĠF ernandez", + "Buy able", + "Ġd ucks", + "aunt lets", + "Ġel ong", + "Ġ28 6", + "Ġsim ul", + "G as", + "ĠK irst", + "Ġprot r", + "ĠRob o", + "ĠAo E", + "op ol", + "Ġpsych ologically", + "sp in", + "ilater ally", + "ĠCon rad", + "W ave", + "44 1", + "ĠAd vertisement", + "ĠHarm on", + "ĠOri ental", + "is Special", + "Ġpresum ptive", + "Ġw il", + "ĠK ier", + "ne a", + "Ġp pm", + "Ġhar bour", + "ĠW ired", + "comp any", + "Ġcor oner", + "atur days", + "ĠP roud", + "ĠN EXT", + "ĠFl ake", + "val ued", + "ce iver", + "Ġfra ught", + "Ġc asing", + "Ġrun away", + "Ġg in", + "ĠLaure nt", + "ĠHar lem", + "ĠCur iosity", + "qu ished", + "Ġneuro science", + "ĠH ulu", + "Ġborrow er", + "Ġpetition er", + "ĠCo oldown", + "W ARD", + "Ġinv oking", + "conf idence", + "For ward", + "Ġst s", + "pop ulation", + "Delivery Date", + "Fil m", + "ĠC ov", + "quick Ship", + "quickShip Available", + "prim ary", + "isSpecial Orderable", + "inventory Quantity", + "channel Availability", + "BO X", + "ĠMulti player", + "ĠJen ner", + "77 8", + "ĠM d", + "Ġ~ /.", + "M N", + "Ġchild ish", + "Ġantioxid ant", + "ĠChrom ebook", + "Ġ27 4", + "Ġscreen play", + "Ġadvent urous", + "ĠRelations hip", + "respons ive", + "ming ton", + "Ġcorner stone", + "ĠF ey", + "F IR", + "Ġrook ies", + "ĠF eaturing", + "Ġorig inate", + "Ġelectro des", + "ant es", + "Ġscript ures", + "Ġgl ued", + "Ġdiscont ent", + "Ġaff licted", + "lay out", + "B rave", + "Ġm osa", + "ĠQuant ity", + "ĠH ik", + "w inner", + "H ours", + "Ġent ail", + "ĠCell s", + "olog ue", + "Ġv il", + "Ġpre acher", + "Ġdecor ative", + "d ifferent", + "Ġprejud ices", + "ĠSm oking", + "ĠNotting ham", + "so Type", + "Ġrhyth ms", + "ĠAl ph", + "bl ast", + "Ste el", + "ĠDaniel le", + "Ġstr ife", + "Ġrem atch", + "so DeliveryDate", + "ĠF ork", + "t rip", + "ol ulu", + "hes es", + "C G", + "ĠPOLIT ICO", + "ost a", + "ĠDr ift", + "é¾įå ¥", + "é¾įå¥ ij士", + "Ġvet ting", + "ĠJin ping", + "ĠRec ession", + "Min or", + "ĠF raud", + "enf ranch", + "Ġconven ed", + "ĠNA ACP", + "ĠMill ions", + "ĠFarm ing", + "ĠW oo", + "ĠFl are", + "rit o", + "imm igrant", + "Ġvac ancy", + "ĠHE AD", + "ĠV aj", + "eg al", + "ĠV igil", + "Stud y", + "Ġru ining", + "Ġr acks", + "Ġhe ater", + "ĠRand olph", + "ĠBr ush", + "ĠT ir", + "Ø ¨", + "Ġc ov", + "% ]", + "Ġrecount s", + "ĠO PT", + "ĠM elt", + "Ġtr uce", + "Ġcas inos", + "Ġcrus ade", + "Ġcarn age", + "Ġstri pe", + "ĠK yl", + "Text ures", + "Ġ6 98", + "Ġpro clamation", + "Ġgood ies", + "Ġ........ ..", + "pro claimed", + "P olit", + "Ġtop ical", + "Ġspecial ize", + "ĠA min", + "g m", + "Ġanch ored", + "Ġbear ings", + "s ample", + "ĠHigh land", + "ĠAut ism", + "Ġmerc enary", + "Ġinterview er", + "L ER", + "ĠSom ers", + "Ġembry o", + "ĠAss y", + "Ġ28 1", + "ĠEd iting", + "ĠCh osen", + "6 60", + "Ġp ci", + "ĠThunder bolt", + "BI LL", + "Ġchuck led", + "jri wal", + "h of", + "Ġearth ly", + "() {", + "ind ependence", + "Ġdisp ers", + "ĠV endor", + "ĠG areth", + "Ġp als", + "P enn", + "ĠSub mit", + "ic um", + "Th u", + "Ġcl andestine", + "Ġcann ibal", + "ĠCl erk", + "E Stream", + "gal itarian", + "âĻ ¥", + "g ew", + "Ġhor rend", + "ĠL ov", + "ĠRe action", + "ocr in", + "Class ic", + "Ġecho ing", + "Ġdiscl osing", + "ĠIns ight", + "og un", + "ĠInc arn", + "upload s", + "pp erc", + "guy en", + "Ġ19 01", + "ĠB ars", + "68 7", + "Ġb ribes", + "ĠFres no", + "ur at", + "ĠRe ese", + "Ġintr usive", + "Ġgri pping", + "ĠBlue print", + "ĠR asm", + "un ia", + "man aged", + "ĠHeb do", + "Ġ3 45", + "Ġdec oding", + "Ġpo ets", + "Ġj aws", + "ĠF IGHT", + "am eless", + "ĠMead ows", + "ĠHar baugh", + "Inter view", + "ĠH osp", + "ĠB RA", + "Ġdelet ion", + "m ob", + "W alker", + "ĠMoon light", + "ĠJ ed", + "ĠSoph ia", + "Ġus ur", + "Ġfortun ately", + "ĠPut ting", + "ĠF old", + "Ġsan itation", + "Ġpart isans", + "IS ON", + "B ow", + "ĠCON C", + "ĠRed uced", + "ĠS utton", + "Ġtouch screen", + "Ġembry os", + "âĢ¢âĢ¢ âĢ¢âĢ¢", + "ĠK rug", + "com bat", + "ĠPet roleum", + "Ġam d", + "ĠCos mos", + "Ġpresc ribing", + "Ġconform ity", + "ours es", + "Ġplent iful", + "Ġdis illusion", + "ĠEc ology", + "itt al", + "Ġf anc", + "Ġassass inated", + "regn ancy", + "Ġperenn ial", + "ĠBul lets", + "Ġst ale", + "Ġc ached", + "ĠJud ith", + "ĠDise ases", + "All en", + "Ġl as", + "Ġsh ards", + "ĠSu arez", + "ĠFriend ship", + "inter face", + "ĠSupp orters", + "add ons", + "46 2", + "ĠIm ran", + "ĠW im", + "Ġnew found", + "ĠM b", + "An imal", + "Ġd arling", + "and e", + "Ġrh y", + "ĠTw isted", + "pos al", + "yn ski", + "Var ious", + "× ľ", + "ĠK iw", + "uy omi", + "Ġwell being", + "ĠL au", + "an os", + "Ġunm ist", + "Ġmac OS", + "Ġrest room", + "ĠOl iv", + "ĠAir ways", + "Ġtimet able", + "9 80", + "Ġrad ios", + "v oy", + "ias co", + "Ġcloud y", + "ĠDraw ing", + "Any thing", + "Sy ria", + "ĠH ert", + "st aking", + "Ġun checked", + "Ġb razen", + "ĠN RS", + "69 7", + "onom ic", + "est ablish", + "Ġl eng", + "Ġdi agonal", + "ĠF ior", + "L air", + "ĠSt ard", + "Ġdef icient", + "jo ining", + "be am", + "Ġomn ip", + "Ġbl ender", + "Ġsun rise", + "Mo ore", + "ĠF ault", + "ĠCost ume", + "ĠM ub", + "Fl ags", + "an se", + "Ġpay out", + "ĠGovern ors", + "ĠD illon", + "ĠBan ana", + "N ar", + "Ġtra iled", + "Ġimperial ist", + "um ann", + "ats uki", + "4 35", + "ĠRoad s", + "Ġsl ur", + "ĠIde ally", + "Ġt renches", + "C trl", + "Ġmir rored", + "ĠZ el", + "ĠC rest", + "Comp at", + "ĠRoll s", + "sc rib", + "ĠTra ils", + "omet ers", + "w inter", + "Ġimm ortality", + "il ated", + "Ġcontrad icts", + "un iversal", + "ill ions", + "ĠM ama", + "opt im", + "AT URE", + "Ġge o", + "et ter", + "ĠCar lo", + "4 24", + "Ġcanon ical", + "ĠStrongh old", + "n ear", + "Ġperf ume", + "Ġorche stra", + "od iac", + "Ġup he", + "Ġreign ing", + "vers ive", + "Ġc aucuses", + "ĠD EM", + "Ġinsult ed", + "Ġ---- --", + "ĠCr ush", + "Ġroot ing", + "ĠWra ith", + "Ġwh ore", + "Ġto fu", + "C md", + "ĠB ree", + "Ġ$ _", + "Ġr ive", + "ĠAd vertising", + "Ġw att", + "ĠH O", + "Ġpersu asive", + "ĠParam eters", + "Ġobserv ational", + "ĠN CT", + "ĠMo j", + "ĠSal on", + "Ġtr unc", + "Ġexqu isite", + "ĠMar a", + "Ġpo op", + "ĠAN N", + "Ex c", + "ĠWonder ful", + "ĠT aco", + "Ġhome owner", + "ĠSmith sonian", + "orpor ated", + "mm mm", + "Ġlo af", + "ĠYam ato", + "ĠInd o", + "Ġcl inging", + "á s", + "Ġimm utable", + "h ub", + "Or ange", + "Ġfingert ips", + "ĠWood en", + "ĠK idd", + "ĠJ PM", + "ĠDam n", + "C ow", + "c odes", + "48 2", + "Ġiniti ating", + "ĠEl k", + "ĠCut ting", + "Ġabsent ee", + "ĠV ance", + "ĠLil ith", + "G UI", + "Ġobsc ured", + "Ġdwar ves", + "ĠCh op", + "ĠB oko", + "Val ues", + "Ġmult imedia", + "Ġbrew ed", + "Reg ular", + "CRIP TION", + "ĠMort al", + "Ġa pex", + "Ġtravel er", + "Ġbo ils", + "Ġspray ing", + "Rep resent", + "ĠStars hip", + "4 28", + "Ġdisappro val", + "Ġshadow y", + "Ġlament ed", + "ĠRe place", + "ĠFran ç", + "67 7", + "d or", + "Ġunst oppable", + "Ġcoh orts", + "gy n", + "ĠClass ics", + "ĠAm ph", + "Ġsl uggish", + "ĠAdd iction", + "ĠPad res", + "Ġins cription", + "Ġin human", + "min us", + "ĠJere miah", + "at ars", + "Ter ror", + "ĠT os", + "ĠSh arma", + "ast a", + "c atch", + "Ġpl umbing", + "ĠTim bers", + "Sh ar", + "H al", + "ĠO sc", + "Ġcou pling", + "hum ans", + "Ġsp onge", + "Ġid ols", + "ĠSp a", + "ĠAdv ocate", + "ĠBe ats", + "lu a", + "Ġtick ing", + "Ġload er", + "ĠG ron", + "8 10", + "Ġstim ulated", + "Ġside bar", + "ĠManufact urer", + "ore And", + "19 73", + "Ġpra ises", + "ĠFl ores", + "dis able", + "ĠElect rical", + "ra ise", + "E th", + "Ġmigr ated", + "Ġlect urer", + "K ids", + "ĠCa vern", + "Ġk ettle", + "Ġgly c", + "ĠMand ela", + "ĠF ully", + "å§ «", + "FIN EST", + "Ġsquee zing", + "ĠRy der", + "amp oo", + "oreAnd Online", + "Inst oreAndOnline", + "Buyable InstoreAndOnline", + "Ġcommem orate", + "ĠRamp age", + "Aust in", + "ĠSh roud", + "ĠRu ins", + "9 15", + "ĠK H", + "Ġwater front", + "ĠE SC", + "b aby", + "ĠC out", + "ĠEm blem", + "Ġequival ents", + "49 2", + "Un ique", + "ĠNiet zsche", + "brow ser", + "Ġim itation", + "ĠWere wolf", + "ĠKir in", + "ac as", + "' ,\"", + "Ġà ¾", + "Review ed", + "Ġc unt", + "Ġvo ic", + "ĠLen ovo", + "Ġbond ed", + "48 1", + "Ġinhib itors", + "Ġendeav ors", + "ĠHav ana", + "ĠSt out", + "ĠJ olly", + "A ctor", + "*/ (", + "Ġoccur rences", + "ĠT ens", + "Incre ased", + "ĠACT ION", + "Ġ ãĢĮ", + "ĠRank ings", + "ĠB reat", + "Ġ30 9", + "D ou", + "Ġimpact ing", + "ĠDuc hess", + "pre fix", + "Q B", + "Ġsummon ing", + "Ġbest owed", + "ĠKe pler", + "ĠPOW ER", + "c ube", + "ĠK its", + "ĠG rip", + "Ġop ium", + "Ġrep utable", + "t oc", + "ich ael", + "ĠR ipple", + "Ġcaf é", + "ĠZ oom", + "ĠBur ma", + "Ġwa ive", + "Ġst alls", + "Ġdem eanor", + "inc erity", + "Ġfluor ide", + "ĠSH OULD", + "Par is", + "Ġlong ing", + "Ġpl at", + "Ġgross ly", + "Ġbull s", + "Ġshowc asing", + "ex pected", + "ĠG addafi", + "engine ering", + "Re peat", + "ĠK ut", + "Ġconce ivable", + "Ġtrim med", + "osc ope", + "ĠCand idate", + "ĠT ears", + "rol og", + "Lew is", + "S UP", + "Ġroad map", + "Ġsal iva", + "Ġtrump et", + "Jim my", + "Ġmirac ulous", + "Ġcolon ization", + "Ġam put", + "ĠGN OME", + "ate ch", + "D ifferent", + "ĠE LE", + "ĠGovern ments", + "ĠA head", + "ãħĭ ãħĭ", + "word press", + "L IB", + "ĠIn clude", + "ĠDor othy", + "0 45", + "ĠColomb ian", + "Ġle ased", + "88 4", + "Ġde grading", + "ĠDa isy", + "i ations", + "Ġbapt ized", + "Ġsurn ame", + "co x", + "Ġblink ed", + "ãĥ ¢", + "Ġpoll en", + "Ġder mat", + "Ġre gex", + "ĠNich olson", + "ĠE ater", + "ç ľ", + "rad or", + "Ġnarrow er", + "Ġhur ricanes", + "Ġhalluc inations", + "r idden", + "ISS ION", + "ĠFire fly", + "Ġattain ment", + "Ġnom inate", + "Ġav ocado", + "ĠM eredith", + "Ġt s", + "Ġreve rence", + "Ġe uph", + "Ġcr ates", + "ĠT EXT", + "Ġ4 43", + "Ġ3 19", + "J SON", + "iqu ette", + "Ġshort stop", + "ic key", + "Ġpro pelled", + "Ġap i", + "ĠTh ieves", + "77 9", + "Ġovers aw", + "Ġcol i", + "ĠNic ola", + "Ġover cl", + "ik awa", + "ĠC yr", + "Ġ38 4", + "78 9", + "ĠAll ows", + "10 27", + "Det roit", + "TR Y", + "set up", + "ĠSocial ism", + "Sov iet", + "s usp", + "ĠAP R", + "ĠShut down", + "Ġal uminium", + "zb ek", + "ĠL over", + "GGGG GGGG", + "Ġdemocr acies", + "Ġ19 08", + "ĠMer rill", + "ĠFranco is", + "gd ala", + "Ġtraff ickers", + "ĠT il", + "ĠGo at", + "Ġsp ed", + "ĠRes erv", + "Ġpro d", + "55 2", + "Ġc ac", + "ĠUn iv", + "ĠSch we", + "Ġsw irling", + "ĠWild erness", + "ĠEgg s", + "Ġsadd ened", + "Ġarch aic", + "H yd", + "Ġexcess ively", + "B RE", + "Ġaer ospace", + "ĠVo ices", + "Cra ig", + "Ġign ited", + "In itially", + "ĠMc A", + "Ġhand set", + "Ġreform ing", + "Ġfrust rations", + "ĠDead pool", + "ĠBel ichick", + "ract or", + "ĠRagnar ok", + "ĠD rupal", + "ĠApp roximately", + "19 20", + "ĠHub ble", + "arm or", + "ĠSar as", + "ĠJon as", + "Ġnostalg ic", + "Ġfeas ibility", + "Sah aran", + "Ġorb iting", + "Ġ9 70", + "R u", + "Ġsh in", + "ĠInvestig ators", + "Ġinconsist encies", + "ĠP AN", + "B G", + "Ġgraz ing", + "Ġdetect ors", + "ĠStart up", + "ĠFun ny", + "ĠNa omi", + "Consider ing", + "Ġh og", + "ut f", + "ce mic", + "Ġfort ified", + "ĠFun ctions", + "Ġcod ec", + "nut rition", + "H at", + "\" !", + "micro soft", + "55 8", + "ĠTh in", + "ĠA CE", + "Al ias", + "ĠO PS", + "p apers", + "P K", + "ãĢ İ", + "Ġimpro bable", + "N orthern", + "equ al", + "Ġlook out", + "Ġty res", + "ĠMod ified", + "ĠK op", + "Abs olutely", + "Ġbuild up", + "sil ver", + "Ġaud i", + "Ġgro tesque", + "ĠSab er", + "ĠPres byter", + "ON Y", + "Ġglac iers", + "ĠSho als", + "ĠK ass", + "ĠH RC", + "ĠNic ol", + "ĠL unch", + "ĠF oss", + "âĸ Ĵ", + "AD RA", + "ĠOne Plus", + "o ing", + "ground s", + "Ġincident al", + "Ġdatas ets", + "68 9", + "ĠClarks on", + "Ġassemb ling", + "ĠCorrect ions", + "Ġdrink ers", + "Ġqual ifiers", + "Ġle ash", + "Ġunf ounded", + "ĠH undred", + "Ġkick off", + "T i", + "Ġrecon cil", + "ĠGr ants", + "ĠCompl iance", + "ĠDexter ity", + "Ġ19 06", + "w arn", + "D allas", + "Max imum", + "n ard", + "av ia", + "be aut", + "ens itivity", + "tr ace", + "Ġpione ers", + "ĠF ract", + "ãĢ ı", + "Ġpre cept", + "Ġgloss y", + "ĠI EEE", + "Ac ross", + "Ġ6 80", + "S leep", + "che on", + "Ġsatir ical", + "ĠMin otaur", + "ĠCla ude", + "Ġr é", + "ape go", + "Ġcar rot", + "ĠSem in", + "ino a", + "Ġz o", + "Ind ependent", + "Ġdiagn oses", + "ĠC ue", + "M AR", + "Ġrend ition", + "ĠK ik", + "Ġpath ology", + "Ġselect s", + "Link edIn", + "Ġass ay", + "ĠD res", + "Ġtext ual", + "post ed", + "IT AL", + "ĠM aul", + "N eal", + "Ġinter connected", + "Ġerr atic", + "ĠVir us", + "Ġ5 30", + "Ġenvironmental ists", + "ĠP helps", + "Ġeng agements", + "ĠIN ST", + "Ġeconom ical", + "nox ious", + "Ġg earing", + "izz y", + "Ġfavor ably", + "ĠMcG ill", + "T erm", + "Ġh anged", + "Ġball park", + "ĠRe yes", + "Ġbe ware", + "ĠP sal", + "ĠMass acre", + "q i", + "Ġin accessible", + "acly sm", + "Ġfr ay", + "ill ac", + "Ġbitter ly", + "ĠCert ification", + "Mich igan", + "Ġir respective", + "al ore", + "Em pty", + "Ġendorse ments", + "Ġund et", + "f g", + "equ ipped", + "Ġmerc iless", + "ĠC ust", + "Ġimm ature", + "Ġvou cher", + "ĠBlack well", + "Ñ ı", + "h awk", + "dis ciplinary", + "ile e", + "ĠMak oto", + "ĠD ude", + "ãĥĩ ãĤ£", + "Y ears", + "Ġin ver", + "Ġsh aman", + "ĠY ong", + "ip el", + "ell en", + "ĠCath y", + "br ids", + "Ġs arc", + "65 1", + "N ear", + "Ġground work", + "Ġam az", + "Ġ4 15", + "ĠHunting ton", + "hew s", + "ĠB ung", + "Ġarbit rarily", + "ĠW it", + "ĠAl berto", + "Ġdis qualified", + "best os", + "46 1", + "Ġp c", + "Ġ28 4", + "ro bat", + "Rob in", + "Ġh ugs", + "ĠTrans ition", + "ĠOcc asionally", + "Ġ3 26", + "ĠWh ilst", + "ĠLe y", + "Ġspaces hip", + "cs v", + "Ġun successfully", + "ĠA u", + "le ck", + "ĠWing ed", + "ĠGrizz lies", + ". �", + "Ġne arer", + "ĠSorce ress", + "ĠInd igo", + "El se", + "8 40", + "let es", + "Co ach", + "Ġup bringing", + "ĠK es", + "Ġseparat ist", + "Ġrac ists", + "Ġch ained", + "Ġabst inence", + "lear ning", + "Ġrein stated", + "Ġsymm etry", + "Ġremind ers", + "ĠChe vy", + "Ġm ont", + "Ġexempl ary", + "ĠT OR", + "Z X", + "Ġqual itative", + "ĠSt amp", + "ĠSav annah", + "ĠRoss i", + "Ġp aed", + "Ġdispens aries", + "ĠWall s", + "ĠCh ronic", + "Ġcompliment ary", + "ĠBeir ut", + "Ġ+ ---", + "igs list", + "Ġcrypt ographic", + "mas ters", + "ĠCap itals", + "Ġmax imal", + "Ġent ropy", + "Point s", + "Ġcombat ants", + "l ip", + "ĠGl ob", + "ĠB MC", + "ph ase", + "th ank", + "HT TP", + "Ġcomm uter", + "Ġ\\( \\", + ".. /", + "ĠReg ener", + "ĠDO I", + "ĠActiv ision", + "Ġsl it", + "os al", + "RE M", + "Ġch ants", + "Y u", + "Ke ys", + "Bre xit", + "ĠFor ced", + "Ari zona", + "Ġsquad ron", + "IS O", + "ĠMal one", + "Ġ3 38", + "Ġcontrast ing", + "Ġt idal", + "Ġlib el", + "Ġimpl anted", + "Ġupro ar", + "ĠC ater", + "Ġpropos itions", + "M anchester", + "ĠEuro s", + "it amin", + "G il", + "ĠEl ven", + "ĠSe ek", + "ĠB ai", + "Ġredevelop ment", + "ĠTown s", + "ĠL ub", + "! \",", + "al on", + "K rist", + "Ġmeas urable", + "Ġimagin able", + "Ġapost les", + "Y N", + "7 60", + "Ġster oid", + "Ġspecific ity", + "ĠL ocated", + "ĠBeck er", + "ĠE du", + "ĠDiet ary", + "uts ch", + "ĠMar ilyn", + "Ġbl ister", + "ĠM EP", + "ĠK oz", + "ĠC MS", + "y ahoo", + "ĠCar ney", + "Ġbo asting", + "ĠC aleb", + "By te", + "read s", + "ad en", + "Pro blem", + "ĠWood ward", + "S we", + "S up", + "ĠK GB", + "Set up", + "Ġtac it", + "Ġret ribution", + "Ġd ues", + "ĠM ü", + ". ?", + "ä¸ Ń", + "p ots", + "Ġcame o", + "ĠP AL", + "educ ation", + "A my", + "like ly", + "g ling", + "Ġconstitution ally", + "ĠHam m", + "ĠSpe ak", + "Ġwid gets", + "br ate", + "Ġcra ppy", + "ĠI ter", + "Ġanticip ating", + "ĠB out", + "P ixel", + "ĠY ep", + "ĠLaur ie", + "Ġh ut", + "Ġbullet in", + "ĠSal vation", + "Ġch ats", + "ear able", + "Honest ly", + "AL TH", + "onse qu", + "c ult", + "isco very", + "ovy ch", + "Ġse lves", + "ĠSat oshi", + "S ounds", + "Ġconver gence", + "ĠRosen berg", + "19 74", + "Ġnas al", + "Ġfull est", + "Ġfer ocious", + "x us", + "ist e", + "AM S", + "Ġlobb ied", + "Ġso othing", + "ĠGun n", + "t oday", + "0 24", + "Ġinspir ational", + "ĠN BN", + "p b", + "g ewater", + "or ah", + "all owed", + "ĠCol iseum", + "Ġspecial izing", + "Ġinsane ly", + "ĠT ape", + "del ay", + "Ġt arn", + "ĠP ound", + "Ġmel anch", + "Ġdeploy ments", + "il and", + "Ġless en", + "Ġfur ry", + "ĠUE FA", + "Ġblood shed", + "ĠMe ier", + "ither ing", + "Ġhe irs", + "ĠJ aw", + "ax ter", + "ĠPublic ations", + "Ġal ters", + "int ention", + "ĠWinc hester", + "d etermination", + "ĠLif etime", + "th in", + "Mon ster", + "7 80", + "Ġapprox imation", + "Ġsuper markets", + "ĠSecond s", + "or os", + "h uge", + "Ġb ribe", + "ĠLIM ITED", + "un ed", + "Ġmis interpret", + "ĠIn jury", + "Ġ3 67", + "Ġthreshold s", + "ĠCarn ival", + "Ġgastro intestinal", + "Ġguid eline", + "Ġde ceived", + "f eatures", + "Ġpurported ly", + "ĠRon nie", + "ĠNew t", + "Ġsp acious", + "as us", + "Ġsuperhero es", + "ĠCyn thia", + "le gged", + "k amp", + "ch io", + "Ġth umbnail", + "ĠShir ley", + "ill ation", + "Ġshe ds", + "ĠZ y", + "E PA", + "Ġdam s", + "Ġy awn", + "n ah", + "ĠPe ggy", + "ĠE rie", + "ĠJu ventus", + "ĠF ountain", + "r x", + "don ald", + "al bum", + "ĠComp rehensive", + "Ġc aching", + "ĠU z", + "ulner ability", + "ĠPrinc iple", + "ĠJ ian", + "ing ers", + "cast s", + "ĠOs iris", + "ch art", + "t ile", + "ĠTiff any", + "ĠPatt on", + "ĠWh ip", + "Ġovers ized", + "J e", + "ĠCind erella", + "ĠB orders", + "ĠDa esh", + "M ah", + "Ġdog ma", + "Ġcommun ists", + "v u", + "Coun cil", + "Ġfresh water", + "Ġw ounding", + "Ġdeb acle", + "Ġyoung ster", + "Ġthread ed", + "ĠB ots", + "ĠSav ings", + "ãģ Ĥ", + "ol ing", + "oh o", + "Ġillum ination", + "M RI", + "Ġlo osen", + "tr ump", + "ag ency", + "ur ion", + "Ġmoment arily", + "ĠCh un", + "ĠBud apest", + "ĠAl ley", + "D isk", + "Ġaston ished", + "ĠCon quer", + "ĠAccount ing", + "h aving", + "ĠWe in", + "ĠAl right", + "Ġrev olver", + "Ġdel usion", + "Ġrelic s", + "Ġad herent", + "qu ant", + "Ġhand made", + "or io", + "Ġcomb ating", + "c oded", + "Ġquad ru", + "re th", + "N ik", + "ĠTrib al", + "ĠMyster ious", + "Ġin hal", + "ĠWin ning", + "ĠClass ification", + "ch anged", + "Ġun ab", + "Ġsc orn", + "icip ated", + "w l", + "ond uctor", + "Ġrein forcing", + "ĠChild hood", + "an ova", + "Ġadventure r", + "Ġdoctor al", + "ĠStrateg ies", + "Ġengulf ed", + "ĠEnc ounter", + "Ġl ashes", + "Crit ical", + "ric ular", + "ĠU TF", + "oci ation", + "check ing", + "ĠConsult ing", + "Run time", + "per iod", + "ĠAs gard", + "Ġdist illed", + "ĠPas adena", + "ĠD ying", + "ĠCOUN TY", + "Ġgran ite", + "Ġsm ack", + "Ġparach ute", + "ĠS UR", + "Virgin ia", + "ĠF urious", + "78 7", + "ĠO kin", + "Ġcam el", + "ĠM bps", + "19 72", + "ĠCh ao", + "ĠC yan", + "j oice", + "ef er", + "ĠW rap", + "ĠDeb ate", + "S eg", + "Ġfore arm", + "ĠIgn ore", + "Ġtim estamp", + "Ġprob ing", + "ĠNo on", + "ĠGra il", + "f en", + "Ġdorm ant", + "ĠFirst ly", + "ĠE ighth", + "ĠH UN", + "ĠDes ire", + "or as", + "Girl s", + "ĠDes mond", + "z ar", + "am ines", + "O AD", + "exec ute", + "Ġbo obs", + "ĠAT L", + "_ (", + "Chel sea", + "Ġmasturb ation", + "ĠCo C", + "Ġdestroy er", + "ĠCh omsky", + "Ġsc atter", + "ĠAss ets", + "79 6", + "ĠC argo", + "Ġrecept ive", + "ĠSc ope", + "Ġmarket ers", + "Ġlaun chers", + "Ġax le", + "ĠSE A", + "se q", + "ĠM off", + "f inding", + "ĠGib bs", + "Georg ia", + "extreme ly", + "N J", + "Ġlab orers", + "st als", + "Ġmed iation", + "ĠH edge", + "at own", + "Ġi od", + "des pite", + "v ill", + "J ane", + "ex istence", + "Ġcoinc ided", + "ĠUt ilities", + "ĠChe ap", + "Ġlog istical", + "Ġcul mination", + "ĠNic otine", + "p ak", + "F older", + "Ġrod ents", + "st uff", + "Ġlaw fully", + "Ġreper to", + "io ch", + "j j", + "Dial ogue", + "HH HH", + "lic tion", + "Look s", + "Ġ29 7", + "Ġtur rets", + "ĠAb andon", + "Ġinc ess", + "ĠTraff ord", + "Ġcur led", + "Ġprefer ring", + "Ġprivat ization", + "Ġir resist", + "ĠP anda", + "ĠSh ake", + "ĠMc Gr", + "ãĥ Ħ", + "und ers", + "Ġdiscrim inated", + "Ġbart ender", + "I LE", + "Atl antic", + "Ġprop ensity", + "ĠW iz", + "ĠG im", + "con ference", + "Ġrein forces", + "G h", + "w agon", + "Ġe erie", + "F al", + "Ġhug ged", + "rac ist", + "R IC", + "F u", + "Ġf iller", + "ĠSt ub", + "Ġeng raved", + "ĠWrest le", + "Ġimagin ative", + "ĠPe er", + "ĠFact ors", + "an us", + "ĠDrac ula", + "mon itor", + "Ġrou ters", + "ib ia", + "ĠBoo lean", + "end ale", + "ĠSl aughter", + "ĠSh ack", + "R FC", + "ĠSpiel berg", + "S ax", + "ĠPH OTO", + "ĠCl over", + "ĠR ae", + "Dep ending", + "ĠMem or", + "ar am", + "Ġpier ced", + "Ġcur tains", + "v ale", + "ĠInqu isition", + "ĠP oke", + "Ġforecast ing", + "Ġcompl ains", + "S ense", + "ĠHer mes", + "isc overed", + "Ġb ible", + "ĠMor ph", + "Ġg erm", + "78 5", + "D ON", + "Ġcon gen", + "Ġcr ane", + "ĠD PR", + "Ġrespect fully", + "R oom", + "ĠN aw", + "ĠDal ai", + "re ason", + "ĠAng us", + "Educ ation", + "ĠTitan ic", + "Ë ľ", + "Ġo val", + "un ited", + "Ġthird s", + "Ġmoist ur", + "ĠC PC", + "M iami", + "Ġtent acles", + "ĠPol aris", + "ex c", + "ex clusive", + "ĠPra irie", + "Ġcol ossal", + "ĠBl end", + "sur prisingly", + "ÃŃ s", + "Ġindo ctr", + "Ġbas al", + "ĠMP EG", + "und o", + "Spl it", + "Develop ment", + "Ġlan tern", + "19 71", + "Ġprov ocation", + "Ġang uish", + "ĠB ind", + "ĠLe ia", + "duc ers", + "ipp y", + "conserv ancy", + "Ġinitial ize", + "ĠTw ice", + "ĠSu k", + "Ġpred ic", + "Ġdi ploma", + "Ġsoc iop", + "Ing redients", + "Ġhamm ered", + "ĠIr ma", + "Q aida", + "Ġglim ps", + "ĠB ian", + "Ġst acking", + "Ġf end", + "gov track", + "Ġun n", + "dem ocratic", + "ig ree", + "Ġ5 80", + "Ġ29 4", + "Ġstraw berry", + "ID ER", + "Ġcher ished", + "ĠH ots", + "Ġinfer red", + "Ġ8 08", + "ĠS ocrates", + "O regon", + "ĠR oses", + "ĠFO IA", + "Ġins ensitive", + "Ġ40 8", + "Recomm end", + "ĠSh ine", + "Ġpain staking", + "UG E", + "ĠHell er", + "ĠEnter prises", + "I OR", + "ad j", + "N RS", + "L G", + "Ġalien ated", + "Ġacknowled gement", + "ĠA UD", + "ĠRen eg", + "Ġvou chers", + "Ġ9 60", + "Ġm oot", + "ĠDim ensions", + "Ġc abbage", + "B right", + "g at", + "ĠK lu", + "Ġlat ent", + "Ġz e", + "ĠM eng", + "Ġdis perse", + "Ġpand emonium", + "H Q", + "Ġvirt uous", + "ĠLoc ations", + "ee per", + "prov ided", + "Ġse ams", + "ĠW T", + "iz o", + "PR OV", + "Ġtit anium", + "Ġrecol lection", + "Ġcr an", + "Ġ7 80", + "ĠN F", + "49 1", + "64 2", + "p acking", + "59 8", + "text ure", + "Sp ider", + "fre edom", + "cipl ed", + "ĠTAM ADRA", + "âĻ ¦", + "aut hent", + "ĠW ANT", + "r ified", + "Ġr ites", + "Ġuter us", + "k iss", + "Ġâī ¤", + "Ġsk illet", + "Ġdis enfranch", + "ĠGa al", + "Comp an", + "Ġage ing", + "gu ide", + "B alt", + "Ġiter ator", + "Ġdiscretion ary", + "t ips", + "Ġprim ates", + "ĠTechn ique", + "ĠPay ments", + "az el", + "ĠR OCK", + "stant ial", + "0 60", + "Ġd mg", + "ĠJack ets", + "ĠPlay off", + "Ġnurs ery", + "ĠSy mb", + "art on", + "Ġannex ation", + "Color ado", + "Ġco ils", + "ĠSh oes", + "âĦ¢ :", + "ĠRo z", + "COM PLE", + "ĠEve rest", + "ĠTri umph", + "J oy", + "G rid", + "à ¼", + "process or", + "ĠPros per", + "ĠSever us", + "ĠSelect ed", + "r g", + "ĠTay yip", + "St ra", + "Ġski ing", + "Ġ? )", + "Ġpe g", + "Tes la", + "Ġtime frame", + "Ġmaster mind", + "ĠN B", + "scient ific", + "ĠSh it", + "gener ic", + "IN TER", + "N UM", + "Ġst roll", + "ĠEn ix", + "ĠM MR", + "ĠE MS", + "m ovie", + "Ĥ ª", + "Ġminim izing", + "idd ling", + "Ġilleg itimate", + "Ġprot otyp", + "Ġpremature ly", + "Ġmanual s", + "obb ies", + "ĠCass idy", + "D EC", + "des ktop", + "Ġaer os", + "Ġscreen ings", + "Ġdeb ilitating", + "ĠGr ind", + "nature conservancy", + "Ġf ades", + "ter mination", + "assets adobe", + "F actor", + "Ġdefinitive ly", + "P oké", + "ap ult", + "ĠLaf ayette", + "C orn", + "ĠCor al", + "Ġstagn ant", + "T ue", + "Ġdissatisf action", + "G ender", + "Ġkid neys", + "ĠG ow", + "ĠDef eat", + "ĠAsh ton", + "Ġcart els", + "Ġfore closure", + "ĠExpl ore", + "stre ngth", + "ot in", + "Ġveterin arian", + "Ġf umble", + "Ġpar ap", + "ĠSt rait", + "r ils", + "Ġpr ick", + "ĠBerm uda", + "ĠAm munition", + "skin ned", + "Ġab ound", + "ĠB raz", + "Ġshar per", + "ĠAsc ension", + "Ġ9 78", + "Ġpreview s", + "Ġcommun ion", + "ĠX Y", + "Ġph ony", + "Ġnewcom er", + "Ġ3 32", + ".\" ,\"", + "Ġredist ribution", + "Prot ect", + "ĠSo f", + "K al", + "Ġlip stick", + "w orst", + "Ġtang led", + "Ġretrospect ive", + "int eger", + "Ġvolunte ering", + "Ġ19 07", + "Ġ --------------------", + "ic hen", + "Ġunve iling", + "Ġsen seless", + "Ġfisher ies", + "\\ -", + "Ġh inges", + "Ġcalcul us", + "My th", + "Ġund efeated", + "Ġoptim izations", + "Ġdep ress", + "Ġbill board", + "ĠY ad", + "ĠPy ramid", + "Is n", + "I de", + "Ġleg ion", + "ĠK ramer", + "ent anyl", + "Ġpenet rating", + "ĠHaw th", + "ĠPR ODUCT", + "ĠGer ard", + "ĠP act", + "ĠIn cluding", + "ĠEl ias", + "ĠEl aine", + "vis ual", + "Ġhum ming", + "Ġcond esc", + "ĠF asc", + "ä¸ Ĭ", + "Ġe galitarian", + "Ġdev s", + "ĠD ahl", + "O ps", + "D H", + "ĠB ounce", + "id ated", + "ald o", + "Ġrepublic an", + "Ġh amb", + "ĠS ett", + "ograph ies", + "CH APTER", + "Ġtrans sexual", + "Ġsky rocket", + "ans wer", + "Ġmark up", + "Ø ª", + "Ġhero ine", + "Comp are", + "ĠT av", + "Be ast", + "Ġsuccess ors", + "Ġna ïve", + "ĠBuck ley", + "st ress", + "me at", + "Ġdownload able", + "Ġindex ed", + "Ġsc aff", + "ĠL ump", + "ĠHom o", + "Stud io", + "In sp", + "Ġr acked", + "far ious", + "ĠPet ty", + "Ex ternal", + "Ġ19 09", + "W ars", + "com mit", + "put ers", + "Ġun ob", + "ĠEr r", + "ĠE G", + "ĠAl am", + "ĠSiber ia", + "ĠAtmosp heric", + "IS TER", + "ĠSatan ic", + "trans lation", + "ĠL oud", + "tra umatic", + "l ique", + "Ġreson ate", + "ĠWel ch", + "Ġspark ing", + "ĠT OM", + "t one", + "Ġout l", + "Ġhandc uffed", + "ĠSer ie", + "8 01", + "Ġland marks", + "ĠRee ves", + "Ġsoft ened", + "Ġdazz ling", + "ĠW anted", + "month s", + "Mag ikarp", + "Ġunt reated", + "ĠBed ford", + "M i", + "ĠDynam o", + "O re", + "79 5", + "Ġwrong ful", + "Ġl ured", + "Ġcort isol", + "Ġve x", + "d rawn", + "ile t", + "Download ha", + "ĠF action", + "Ġlab yrinth", + "Ġhij acked", + "w aters", + "er ick", + "Ġsuper iors", + "ĠRow ling", + "ĠGu inness", + "Ġt d", + "99 2", + "Ġune arthed", + "Ġcentr if", + "Ġsham eless", + "P od", + "ĠF ib", + "Ġ icing", + "Ġpredict or", + "Ġ29 2", + "fore station", + "con struct", + "C and", + "@ #", + "Ġag itated", + "Ġre pr", + "OV A", + "Ġkn itting", + "ĠLim a", + "Ġf odder", + "68 4", + "ĠPerson a", + "k l", + "7 01", + "Ġbreak up", + "á ¸", + "Ġapp alled", + "Ġantidepress ants", + "ĠSus sex", + "Har ris", + "ĠTher mal", + "ee ee", + "U pload", + "Ġg ulf", + "Ġdoor step", + "ĠSh ank", + "L U", + "ĠM EN", + "ĠP ond", + "s orry", + "Ġmis fortune", + "n ance", + "Ġb ona", + "M ut", + "Ġde graded", + "ĠL OG", + "ĠN ess", + "an imal", + "Ġa version", + "und own", + "Ġsupplement ed", + "ĠC ups", + "Ġ50 4", + "Ġdep rive", + "ĠSpark le", + "Å Ĥ", + "ĠMed itation", + "auth ors", + "ĠSab an", + "ĠN aked", + "air d", + "ĠMand arin", + "ĠScript ures", + "ĠPerson nel", + "ĠMahar ashtra", + "Ġ19 03", + "ĠP ai", + "ĠMir age", + "omb at", + "Access ory", + "Ġfrag mented", + "T ogether", + "Ġbelie vable", + "ĠGl adiator", + "al igned", + "ĠSl ug", + "M AT", + "Ġconvert ible", + "ĠBour bon", + "amer on", + "ĠRe hab", + "nt ax", + "Ġpowd ered", + "pill ar", + "Ġsm oker", + "ĠMans on", + "ĠB F", + "5 11", + "ĠGood ell", + "ĠD AR", + "m ud", + "g art", + "Ġob edient", + "ĠTrans mission", + "ĠDon ation", + "8 80", + "Ġbother ing", + "Material s", + "ãĤ ±", + "dest roy", + "Ġfore going", + "Ġanarch ism", + "ĠK ry", + "ice ps", + "Ġl ittered", + "ĠSch iff", + "Ġanecd otal", + "un its", + "Ġf ian", + "ĠSt im", + "ĠS OME", + "ĠInv aders", + "Ġbehaviour al", + "ĠVent ures", + "Ġsub lime", + "Ġfru ition", + "ĠPen alty", + "Ġcorros ion", + "¶ ħ", + "Ġlik ened", + "Ġbesie ged", + "ween ey", + "ĠCre ep", + "Ġlinem en", + "mult i", + "ic ably", + "ud der", + "Ġvital ity", + "Ġshort fall", + "ĠP ants", + "ap ist", + "H idden", + "ĠDro ps", + "med ical", + "Ġpron unciation", + "ĠN RL", + "Ġinsight ful", + "J V", + "ĠBe ard", + "ĠCh ou", + "Ġchar ms", + "Ġb ins", + "Ġamb assadors", + "ĠS aturdays", + "Ġinhib itor", + "ĠFr anch", + "6 01", + "', '", + "ĠCon or", + "art ney", + "ĠX peria", + "g rave", + "be es", + "ĠProtest ants", + "Ġso aking", + "ĠM andal", + "Ġph ased", + "Ġ6 60", + "Ġsc ams", + "Ġbuzz ing", + "ĠItal ians", + "ĠLoren zo", + "ĠJ A", + "Ġhes itated", + "Ġcl iffs", + "ĠG OT", + "ingu ishable", + "Ġk o", + "Ġinter ruption", + "Z ip", + "Lear ning", + "Ġundersc ores", + "ĠBl ink", + "K u", + "57 9", + "ĠAut ob", + "I RE", + "Ġwater ing", + "Ġpast ry", + "8 20", + "Ġvision ary", + "ĠTempl ar", + "awa ited", + "Ġpist on", + "Ġant id", + "current ly", + "Ġp ard", + "Ġw aging", + "Ġnob ility", + "ĠY us", + "Ġinject ing", + "f aith", + "ĠP ASS", + "å º", + "Ġret ake", + "ĠPR OC", + "Ġcat hedral", + "b ash", + "Ġwrest lers", + "Ġpartner ing", + "Ġn oses", + "Ġ3 58", + "Trans form", + "am en", + "Ġb outs", + "ĠId eal", + "ĠConstant in", + "Ġse p", + "ĠMon arch", + "att en", + "ĠPe oples", + "mod ified", + "Ġmor atorium", + "Ġpen chant", + "Ġoffensive ly", + "Ġprox ies", + "ok ane", + "ĠTaiwan ese", + "ĠP oo", + "ĠH OME", + "us ional", + "Ġver bs", + "ĠO man", + "vis ory", + "Ġpersu asion", + "Ġmult it", + "Ġsc issors", + "G ay", + "ow ay", + "oph ysical", + "l us", + "gn u", + "Ġap ocalyptic", + "Ġabsurd ity", + "Ġplay book", + "Ġautobi ography", + "I UM", + "Ġsne aking", + "ĠSim ulation", + "pp s", + "ell ery", + "Plan et", + "Ġright fully", + "Ġn iece", + "ĠN EC", + "ĠIP O", + "ĠDis closure", + "lean or", + "ous y", + "ST ER", + "Ġ28 2", + "Cru z", + "Ch all", + "64 3", + "ĠSurv ive", + "ĠF atal", + "ĠAm id", + "ap o", + "We apons", + "D EN", + "7 70", + "ĠGreen wald", + "Ġlin en", + "al os", + "Ġpollut ants", + "ĠPCI e", + "k at", + "Ġp aw", + "ĠK raft", + "C hem", + "ĠTermin ator", + "Ġre incarn", + "Ġ] [", + "ĠSe eds", + "Ġsilhou ette", + "ĠSt ores", + "Ġgro oming", + "ĠD irection", + "ĠIs abel", + "ĠBr idges", + "ðŁ ij", + "E ED", + "ĠM orsi", + "Ġval ves", + "ĠRank ed", + "ĠPh arma", + "ĠOrgan izations", + "Ġpenet rated", + "ĠRod ham", + "ĠProt oss", + "Ġove rest", + "Ġex asper", + "ĠT J", + "Ġ 000000", + "Ġtrick le", + "Ġbour bon", + "WH O", + "Ġw retched", + "Ġmicrosc opic", + "Ġcheck list", + "Ġad orned", + "R oyal", + "Ad minist", + "ĠRet irement", + "ĠHig hest", + "We ather", + "ile ge", + "Ġincre ments", + "ĠC osponsors", + "Ġmas se", + "ĠS inn", + "r f", + "Ġh ordes", + "as sembly", + "75 4", + "ĠNat asha", + "ĠTY PE", + "ĠGEN ERAL", + "Ġarr anging", + "Ġ40 7", + "l ator", + "Ġg lean", + "Ġdisc redited", + "Ġclin icians", + "UN E", + "Ġachie ves", + "ĠEm erson", + "com plex", + "= [", + "Ġprincip ally", + "Ġfra il", + "p icked", + "Ġthan king", + "Ġre cl", + "ĠL AST", + "Ġsupp ressing", + "il ic", + "Ġantidepress ant", + "ĠLis bon", + "Ġth or", + "Ġsp a", + "Ġking doms", + "ĠPear ce", + "em o", + "Ġpl ung", + "Ġdiv est", + "Ġ ********************************", + "b is", + "osp els", + "ad r", + "Sp irit", + "hall a", + "P ink", + "end ez", + "Ġresurrect ed", + "esc ape", + "ĠRosen stein", + "Ġge ological", + "Ġnecess ities", + "Ġcarn iv", + "ĠE lys", + "ĠBar ney", + "Ġ29 6", + "dig y", + "ST ON", + "D OWN", + "Ġmil estones", + "Ġk er", + "Ġdismant ling", + "Ġre prim", + "Ġcross ings", + "19 45", + "Ġpatri archy", + "Ġblasp hemy", + "Ġ3 59", + "met ry", + "ĠOb esity", + "ĠDiff erences", + "bl ocking", + "ãĥķ ãĤ¡", + "ich ita", + "ĠSab ha", + "ph alt", + "ĠCol o", + "ual a", + "effic ients", + "ĠMed ina", + "con sole", + "55 7", + "ĠHann ibal", + "ĠHab it", + "ĠF ever", + "Ġthen ce", + "Ġsyn agogue", + "Ġessential s", + "Ġw ink", + "ĠTr ader", + "ID A", + "ĠSp oiler", + "ĠIceland ic", + "ĠHay ward", + "Ġpe ac", + "Ġmal ice", + "Ġflash back", + "Ġth w", + "Ġlay offs", + "L iquid", + "Ġtro oper", + "Ġh inge", + "ĠRead ers", + "Ph ill", + "ĠB auer", + "Cre ated", + "Ġaud its", + "ac compan", + "Ġunsus pecting", + "ier a", + "6666 6666", + "Ġbro ch", + "Ġapprehend ed", + "ĠM alk", + "cer ning", + "ĠCod ex", + "O VER", + "M arsh", + "ĠD eng", + "ĠExp ression", + "Ġdisrespect ful", + "Ġasc ending", + "t ests", + "ĠPlaint iff", + "ster y", + "ĠAl ibaba", + "din and", + "ĠDem psey", + "Applic ations", + "mor al", + "Ġthrough put", + "Ġquar rel", + "Ġm ills", + "Ġhe mor", + "ĠC ASE", + "terror ist", + "st im", + "ifest yle", + "ro zen", + "CE PT", + "Ar k", + "u ci", + "lect ic", + "Ġirrit ating", + "she ets", + "A y", + "Ġrede emed", + "Ġhorn y", + "ĠTe ach", + "ĠS ear", + "dem ocracy", + "4 65", + "ĠRest ore", + "Ġstand by", + "ĠP is", + "iff in", + "Ġsleep y", + "Ġextr ater", + "Ġcompl iments", + "Fram eworks", + "Ġinstall s", + "Ġb anging", + "sur face", + "found land", + "Ġmetaph ysical", + "Ġ28 3", + "oul s", + "dev ices", + "Ar gs", + "ĠSac rifice", + "ĠMcC orm", + "es on", + "Cons ervative", + "ĠM ikhail", + "see ing", + "is ively", + "ĠRo oms", + "ĠGener ic", + "Ġenthusi astically", + "Ġgri pped", + "Ġcomed ic", + "ĠElectric ity", + "Ġgu errilla", + "Ġdec oration", + "ĠPerspect ive", + "Ġconsult ations", + "Ġun amb", + "Ġplag iar", + "Ġmagic ian", + "Ġe rection", + "ĠTour ism", + "or ied", + "ro xy", + "11 00", + "T am", + "Ī è", + "Î ³", + "× ª", + "ĠPred ators", + "Nit rome", + "Ġtelesc opes", + "project s", + "Ġun protected", + "Ġst ocked", + "ĠEnt reprene", + "nex pected", + "Ġwast ewater", + "V ill", + "Ġint imately", + "Ġi Cloud", + "ĠConst able", + "Ġspo of", + "Ġne farious", + "Ġfin s", + "Ġcens or", + "ĠMod es", + "ĠEs per", + "ar bon", + "Ġinter sections", + "Ġlaud ed", + "Ġphys i", + "Ġgener ously", + "ĠThe Nitrome", + "ĠTheNitrome Fan", + "Ġar isen", + "ĠÙ Ī", + "Ġg lands", + "ĠPav ilion", + "ĠGu pta", + "Ġuniform ly", + "Ġr amps", + "ri et", + "ĠWH EN", + "ĠVan essa", + "Ġrout ed", + "Ġlim p", + "ĠC PI", + "p ter", + "int uitive", + "Ġv aping", + "Ġexperiment ed", + "ĠOlymp us", + "ĠAm on", + "Ġsight ing", + "Ġinfiltr ate", + "ĠGentle man", + "Ġsign ings", + "ĠMe ow", + "ĠNav igation", + "che cks", + "4 33", + "Ġel apsed", + "ĠBulg arian", + "esp ie", + "ĠS OM", + "d uring", + "Ġsp ills", + "anc a", + "ĠPly mouth", + "M AL", + "Ġdomest ically", + "ĠWater gate", + "ĠF AM", + "k illed", + "ed ited", + "ĠYour self", + "Ġsynchron ization", + "ĠPract ices", + "ST EP", + "Ġgen omes", + "ĠQ R", + "not ice", + "Ġloc ating", + "z in", + "Ġ3 29", + "al cohol", + "Ġk itten", + "V o", + "Ġr inse", + "Ġgrapp le", + "ĠSc rew", + "ĠD ul", + "A IR", + "Ġle asing", + "ĠCaf é", + "Ġro ses", + "ĠRes pect", + "Ġmis lead", + "Ġperfect ed", + "Ġnud ity", + "Ġnon partisan", + "ĠCons umption", + "Report ing", + "Ġnu ances", + "Ġdeduct ible", + "ĠSh ots", + "Ġ3 77", + "Ġæ ľ", + "ano oga", + "Ben ef", + "ĠB am", + "ĠS amp", + "if ix", + "Ġgal van", + "ĠMed als", + "rad ius", + "Ġno bles", + "Ġe aves", + "igr ate", + "K T", + "ĠHar bour", + "u ers", + "Ġrisk ed", + "re q", + "Ġneuro t", + "get table", + "ain a", + "Rom ney", + "Ġunder pin", + "Ġlo ft", + "ĠSub committee", + "ĠMong ol", + "b iz", + "Ġmanif ests", + "ass isted", + "ĠG aga", + "Ġsy nergy", + "Ġreligious ly", + "ĠPre f", + "ĠG erry", + "T AG", + "ĠCho i", + "4 66", + "beh ind", + "ĠO u", + "Gold Magikarp", + "Ġhemor rh", + "R iver", + "Ġtend on", + "Ġinj ure", + "ĠF iona", + "Ġp ag", + "Ġag itation", + "|| ||", + "ur an", + "ĠE SA", + "Ġest eem", + "Ġdod ging", + "Ġ4 12", + "r ss", + "Ġce ases", + "ex cluding", + "Ġint akes", + "Ġinsert s", + "Ġemb old", + "ĠO ral", + "up uncture", + "4 11", + "ĠUn ified", + "ĠDe le", + "Ġfurn ace", + "ĠCoy otes", + "ĠBr ach", + "L abor", + "Ġhand shake", + "Ġbru ises", + "Gr ade", + "éĹ ĺ", + "ĠGram my", + "ile en", + "St ates", + "ĠScandinav ian", + "ĠKard ash", + "8 66", + "Ġeffort lessly", + "ĠDI RECT", + "ĠTH EN", + "ĠMe i", + "ert ation", + "19 68", + "Ġgro in", + "w itch", + "Requ irements", + "98 5", + "Ġroof s", + "Ġest ates", + "ĠH F", + "Ġha ha", + "Ġdense ly", + "ĠO CT", + "Ġpl astics", + "Ġincident ally", + "ĠTr acks", + "ĠTax es", + "Ġch anted", + "Ġforce ful", + "ĠBie ber", + "ĠK ahn", + "K ent", + "ĠC ot", + "lic ts", + "F ed", + "Ġhide ous", + "ĠVer d", + "ĠSynd icate", + "ĠIl legal", + "J et", + "ĠD AV", + "re asonable", + "c rew", + "Ġfundamental ist", + "Ġtruth ful", + "ĠJ ing", + "Ġl il", + "Ġdown ed", + "Ġen chanted", + "ĠPolic ies", + "ĠMcM aster", + "ĠH are", + "ides how", + "Ġpar ams", + "en cers", + "gorith m", + "Ġallow ances", + "Ġturb ulent", + "Ġcomplex ities", + "ĠK T", + "Ġ3 37", + "ĠGen etic", + "F UN", + "D oug", + "t ick", + "Ġg igs", + "ument hal", + "Ġpatriarch al", + "Ġcal c", + ", ...", + "Ġc out", + "ĠGu an", + "Ġpath ological", + "ĠR ivals", + "Ġunder rated", + "Ġflu orescent", + "ĠJ iu", + "arna ev", + "ĠQu an", + "Ġ4 29", + "Ġ à¨", + "M ario", + "Con struct", + "ĠC itation", + "ĠR acial", + "ĠR SA", + "ĠF idel", + "Ġ3 95", + "Person ally", + "C ause", + "à »", + "rad ical", + "in en", + "Ġvehement ly", + "ĠPap a", + "Ġintern ship", + "Ġfl akes", + "ĠRe ck", + "Luck ily", + "B ra", + "20 20", + "rav ings", + "R N", + "W onder", + "Ser iously", + "Ġre usable", + "Ġpoll uted", + "ĠP eng", + "le igh", + "ind le", + "Ġcircuit ry", + "ĠMad onna", + "ĠB ART", + "Res idents", + "att ribute", + "Phil adelphia", + "Cl ub", + "Ġplan ner", + "Ġfr antically", + "Ġfaith fully", + "ĠTerrit ories", + "ĠL AT", + "ĠAnders en", + "an u", + "ĠP ARK", + "ĠS ora", + "i age", + "ĠPlay offs", + "ĠG CC", + "4 27", + "Ġab norm", + "ĠL ever", + "Ġdisob edience", + "As ync", + "ĠShe a", + "V ert", + "Ġsk irts", + "ĠSaw yer", + "x p", + "Ġwors ening", + "Ġsc apego", + "ĠAng le", + "oth al", + "Ġtro ve", + "ĠSt y", + "ĠN guyen", + "mar ine", + "ide on", + "Dep ths", + "Bl og", + "ĠIll uminati", + "Ġtract s", + "Ġorgan ise", + "Ġo str", + "F s", + "Ġlever aging", + "ĠD aredevil", + "as ar", + "Ġl ang", + "Ġex termin", + "urs ions", + "ĠRom o", + "ãĤ¤ ãĥĪ", + "Ġcont ended", + "Ġencounter ing", + "ĠTable t", + "ĠAltern ate", + "sk ill", + "Ġswe ets", + "Ġco hesive", + "cap acity", + "Ġrep ud", + "Ġl izard", + "ro o", + "Ġpilgr ims", + "ĠR uff", + "ĠInstr ument", + "ĠLog o", + "uit ous", + "E H", + "Ġsales man", + "Ġank les", + "L ed", + "ĠPat ty", + "ud os", + "Own er", + "Ġdiscrep ancies", + "k j", + "M U", + "Ġuncond itional", + "Dragon Magazine", + "i ard", + "O ak", + "ĠConvers ation", + "be er", + "ĠOs aka", + "D elta", + "us ky", + "Ġsecret ion", + "Ġpl aza", + "Ġm ing", + "Ġde pletion", + "ĠM ous", + "ĠI TS", + "ĠH imal", + "ĠFle ming", + "Ġcyt ok", + "ĠH ick", + "Ġbat ters", + "ĠInt ellectual", + "6 75", + "é r", + "IS ION", + "ĠQu entin", + "ĠCh apters", + "ih adi", + "Ġco aster", + "WAY S", + "ĠL izard", + "ĠY or", + "and ering", + "S kin", + "ha ust", + "ab by", + "Ġportray ing", + "Ġwield ed", + "d ash", + "Ġprop onent", + "Ġr ipple", + "Ġgrap hene", + "Ġfly er", + "Ġrec urrent", + "Ġdev ils", + "Ġwater fall", + "æĺ ¯", + "go o", + "Text Color", + "Ġtam pering", + "IV ES", + "TR UMP", + "ĠAb el", + "ĠS AL", + "ĠHend ricks", + "ĠLu cius", + "b ots", + "Ġ40 96", + "IST ORY", + "Gu est", + "ĠN X", + "in ant", + "Ben z", + "ĠLoad ed", + "ĠCle ver", + "t reatment", + "Ġta vern", + "Ġ3 39", + "ĠT NT", + "ific antly", + "Tem perature", + "F el", + "Ġunder world", + "ĠJud ges", + "Ġ< +", + "Ġst ump", + "Ġoccup ancy", + "Ġab er", + "ĠF inder", + ") \",", + "ĠN unes", + "res et", + "in et", + "ect omy", + "Ġwell ness", + "ĠP eb", + "quart ered", + "and an", + "Ġneg atives", + "ĠTh iel", + "ĠCl ip", + "ĠL TD", + "Ġbl ight", + "Ġreperto ire", + "K yle", + "Ġqu er", + "ĠC es", + "Ġha pl", + "98 9", + "ĠTh ames", + "isc opal", + "Des k", + "ivari ate", + "ĠEx cellence", + "found ation", + "Ġâ ĩ", + "X i", + "Ġmyster iously", + "esty les", + "Ġper ish", + "ĠEng els", + "ĠDE AD", + "09 0", + "}} }", + "ĠUn real", + "Ġrest less", + "ID ES", + "orth odox", + "ĠInter mediate", + "Ġdin ners", + "ĠTr out", + "ĠSe ym", + "ĠHall s", + "og ged", + "Ġtraged ies", + "Ġdid nt", + "67 6", + "Ġail ments", + "Ġobserv able", + "ĠV ide", + "ad apt", + "ĠD usk", + "Ġprofessional ism", + "ĠPres cott", + "ĠInd ies", + "p ox", + "ĠMe hran", + "W ide", + "Ġend emic", + "ĠPar an", + "B ird", + "Ġped als", + "ĠI U", + "ĠAdam ant", + "ĠH urt", + "Ġcorrel ates", + "urd en", + "Ġspons oring", + "cl imate", + "ĠUnivers ities", + "ĠK not", + "enn es", + "ĠDam ian", + "ĠAx el", + "S port", + "Ġbar b", + "ĠS no", + "sh own", + "ste en", + "ud ence", + "Ġnon violent", + "Ġhom ophobia", + "Ġbiom ass", + "ĠDet ail", + "Ġsrf N", + "ĠT une", + "accompan ied", + "I ENCE", + "Al bert", + "ĠMong o", + "z x", + "ĠCer berus", + "or bit", + "c ens", + "Ġsl ay", + "SH ARE", + "H Y", + "Ġb rawl", + "ĠPro be", + "Ġnonex istent", + "ĠClare nce", + "ĠBlack burn", + "Ġport als", + "ĠR ita", + "ĠRem ain", + "ĠLe vant", + "Ġtrick ed", + "ĠF erry", + "aver ing", + "ĠStraw berry", + "ĠAn swers", + "Ġhorrend ous", + "ĠA man", + "Supp lement", + "ĠT oad", + "Ġpe eled", + "Ġman oeuv", + "ĠU zbek", + "mond s", + "ĠH ector", + "Ġ40 2", + "pe es", + "fix es", + "Ġd j", + "Ġres umes", + "Ġaccount ant", + "Ġadvers ity", + "Ġham pered", + "ĠL arson", + "Ġd oping", + "part s", + "H ur", + "Ġbe arded", + "Ġy r", + "ĠPlug in", + "å¥ ³", + "Ġ/ **", + "rol ley", + "Ġwaters hed", + "ĠSub mission", + "if lower", + "AS C", + "Ġcho ir", + "Ġsculpt ures", + "m A", + "incre asing", + "ai i", + "Ġsne akers", + "Ġconfront s", + "ĠEle phant", + "ĠEl ixir", + "Ġrec al", + "ĠT TL", + "w idget", + "ĠW ax", + "ĠGr ayson", + "Ġha irst", + "Ġhumili ated", + "ĠWAR N", + "app iness", + "ĠT TC", + "F uel", + "Ġpol io", + "Ġcomplex es", + "Ġbab e", + "ĠX IV", + "P F", + "). [", + "P arts", + "Ġ4 35", + "M eg", + "ĠY ards", + "ĠAL P", + "Ġy ells", + "Ġprin ces", + "Ġbull ies", + "ĠCapital ism", + "ex empt", + "FA Q", + "ĠSp onge", + "ĠAl a", + "Ġpleas antly", + "Ġbu f", + "Ġden ote", + "Ġunp ublished", + "Ġkne eling", + "asc a", + "Ġl apse", + "al ien", + "99 4", + "Ġrefere es", + "ĠLaw yers", + "S anta", + "Ġpuzz ling", + "ĠProm etheus", + "ĠPh araoh", + "ĠDel ay", + "Ġfacilit ates", + "ĠC ES", + "Ġjew els", + "Ġbook let", + "ond ing", + "Ġpolar ization", + "ĠMor an", + "ĠSal ad", + "ĠS OS", + "ĠAdv ice", + "PH OTOS", + "IC AN", + "iat ures", + "ex press", + "ĠWonder land", + "ĠC ODE", + "ĠCL ASS", + "9 75", + "Ġg rep", + "ĠD iesel", + "ĠGl ac", + "! ?\"", + "Ġr m", + "o ine", + "disc rimination", + "ĠN urse", + "m allow", + "Ġv ortex", + "ĠCons ortium", + "Ġlarge Download", + "stra ight", + "augh lin", + "G rad", + "Ġpublic ized", + "ĠW aves", + "ĠRed d", + "Ġfest ivities", + "ĠM ane", + "ar ov", + "Ġfleet ing", + "ĠDr unk", + "ug en", + "C ele", + "Ġchromos omes", + "ĠD OT", + "-+-+ -+-+", + "Ġbus iest", + "ĠBe aver", + "Sy rian", + "ĠK yr", + "k as", + "ĠCross Ref", + "19 50", + "76 01", + "Ġrepe aling", + "ĠWin ners", + "ĠMac ro", + "ĠD OD", + "bl ance", + "S ort", + "64 1", + "Ġmet re", + "ĠD irk", + "Ġgo ggles", + "Ġdraw backs", + "Ġcomplain ant", + "Ġauthor izing", + "Ġantit rust", + "oper ated", + "Ġm ah", + "Ġexagger ation", + "Am azing", + "ĠSer aph", + "Ġha ze", + "w ow", + "Ġextingu ished", + "Ġcan yon", + "ĠB osh", + "Ġv ents", + "Ġsc rape", + "Cor rect", + "4 26", + "Ġav g", + "Dem and", + "ĠâĪ ¼", + "Ġmicrobi ota", + "\"} ],\"", + "ĠSt ev", + "B io", + "ĠPlan es", + "Ġsuggest ive", + "Ġdec ipher", + "ĠRefuge e", + "ĠKe jriwal", + "ĠGreen peace", + "Ġdecl ass", + "ĠSound ers", + "Ġth o", + "Ġdec rypt", + "Ġbr ushing", + "ĠJane iro", + "ip op", + "S i", + "8 77", + "ĠGeoff rey", + "Ġc pu", + "ĠHaz el", + "Ġview points", + "Ġcris py", + "ĠNot ification", + "Ġsold er", + "ĠMod est", + "ĠHem isphere", + "Ġcass ette", + "in cludes", + "Ġident ifiers", + "ĠC ALL", + "in cent", + "T odd", + "ĠSwe ep", + "Ġ3 34", + "b oss", + "Ġsm ir", + "gin x", + "Ġtown ship", + "Ġg rieving", + "ĠMos que", + "Net flix", + "AS ED", + "ĠMillenn ials", + "oc om", + "19 67", + "Ġbold ly", + "s leep", + "Ġes che", + "arij uana", + "Ġsw irl", + "ĠPen al", + "Ġneglig ent", + "ĠStephen son", + "K ER", + "ĠZ oro", + "ris is", + "Ġlocal ization", + "ĠSeym our", + "ĠAng lic", + "red itation", + "prot ection", + "ĠPa ige", + "Ġo mit", + "ĠR ousse", + "ĠT ub", + "Ġinv itations", + "t ty", + "Ġm oss", + "ph ysical", + "C redits", + "Ġan archy", + "Ġchild care", + "Ġl ull", + "ĠM ek", + "ĠL anguages", + "lat est", + "ĠSan ford", + "Ġus ability", + "Ġdiff use", + "ĠD ATA", + "Ġsp rites", + "ĠVeget a", + "ĠProm otion", + "ãĥ¼ ãĤ¯", + "rict ing", + "z ee", + "Tur kish", + "ĠTD s", + "pro ven", + "57 1", + "Ġsmug glers", + "707 10", + "Ġreform ed", + "ĠLo is", + "Ġun fl", + "ĠWITH OUT", + "ĠReturn ing", + "ann ie", + "ĠTom as", + "Fr anc", + "ĠProf it", + "ĠSER V", + "ĠR umble", + "ik uman", + "es an", + "Ġt esters", + "Ġgad get", + "Ġbrace let", + "ĠF SA", + "comp onent", + "Ġparamed ics", + "Ġj an", + "ĠRem em", + "ĠSk inner", + "Ġl ov", + "ĠQu ake", + "rom a", + "Ġfl ask", + "Pr inc", + "Ġover power", + "Ġlod ging", + "ĠK KK", + "ret te", + "Ġabsor bs", + "w rote", + "Ġ ,\"", + "K ings", + "ĠH ail", + "ĠFall ing", + "xt ap", + "ĠHel ena", + "ire ns", + "L arry", + "Ġpamph let", + "ĠC PR", + "G ro", + "ĠHirosh ima", + "Ġhol istic", + "\". [", + "Ġdet achment", + "Ġas pire", + "Ġcompl icit", + "ĠGreen wood", + "Ġresp awn", + "ĠSt upid", + "ĠFin ished", + "f al", + "b ass", + "Ġab hor", + "Ġmock ery", + "ĠFe ast", + "VID EO", + "Ġcon sec", + "ĠHung ry", + "P ull", + "ĠH ust", + "it ance", + "? ãĢį", + ") --", + "ĠPar allel", + "con v", + "4 69", + "ha ar", + "w ant", + "P aper", + "m ins", + "ĠTor o", + "ĠTR UMP", + "ĠR ai", + "D W", + "ĠW icked", + "ĠL ep", + "Ġfun ky", + "Ġdetrim ent", + "ios is", + "ache v", + "Ġde grade", + "im ilation", + "Ġret ard", + "Ġfrag mentation", + "Ġcow boy", + "ĠY PG", + "ĠH AL", + "Parent s", + "ĠS ieg", + "ĠStra uss", + "ĠRub ber", + "× IJ", + "Fr ag", + "Ġp t", + "Ġoption ally", + "ĠZ IP", + "ĠTrans cript", + "ĠD well", + "88 2", + "M erc", + "ĠM OT", + "ãĥ¯ ãĥ³", + "Ġhun ts", + "Ġexec utes", + "In cludes", + "Ġacid ic", + "ĠRespons ibility", + "ĠD umb", + "we i", + "And erson", + "ĠJas per", + "ight on", + "abs olutely", + "Ad ult", + "Ġpl under", + "Mor ning", + "ĠT ours", + "ĠD ane", + "Î º", + "ĠT EST", + "ĠG ina", + "Ġcan ine", + "aw an", + "Ġsocial ists", + "ĠS oda", + "Ġimp etus", + "ĠSupplement ary", + "oli ath", + "ĠKinn ikuman", + "mitted ly", + "second s", + "Ġorganis ers", + "Ġdocument aries", + "Vari able", + "GRE EN", + "Ġres orts", + "Ġbr agging", + "Ġ3 68", + "Art ist", + "w k", + "bl ers", + "Un common", + "ĠRet rieved", + "Ġhect ares", + "Ġtox in", + "r ank", + "Ġfaith s", + "ĠG raphic", + "Ġve c", + "ĠL IA", + "Af rican", + "Ġard ent", + "end iary", + "L ake", + "ĠD OS", + "cient ious", + "ĠOk awaru", + "ĠAll y", + "ĠTim eline", + "D ash", + "ĠI c", + "contin ue", + "Ġt idy", + "Ġinstinct ively", + "ĠP ossibly", + "ĠOut door", + "ĠWould n", + "Ġl ich", + "ĠBr ay", + "ĠA X", + "Ġà ī", + "Ġ+ #", + "\\ '", + "Direct ory", + "ab iding", + "Ġf eral", + "ic ative", + "but t", + "Ġper verse", + "S alt", + "Ġwar ped", + "Ġnin eteen", + "Ġcabin ets", + "Ġsrf Attach", + "ĠSl oan", + "Ġpower ing", + "reg ation", + "F light", + "se vere", + "Ġst ren", + "Ġc og", + "ap ache", + "Ġâ Ŀ", + "Ġcaf eteria", + "p aces", + "ĠGrim oire", + "uton ium", + "Ġr aining", + "Ġcir cling", + "Ġlineback ers", + "c redit", + "Ġrep atri", + "ĠCam den", + "lic ense", + "Ġly ric", + "Ġdescript or", + "Ġval leys", + "Ġre q", + "Ġback stage", + "ĠPro hibition", + "ĠK et", + "Op ening", + "S ym", + "æĸ ¹", + "Ġserv ings", + "Ġoverse en", + "Ġaster oids", + "ĠMod s", + "ĠSpr inger", + "ĠCont ainer", + "è »", + "ĠM ens", + "Ġmult im", + "Ġfire fighter", + "pe c", + "Ġchlor ine", + "Ð ¼", + "end i", + "Ġsp aring", + "Ġpolyg amy", + "ĠR N", + "ĠP ell", + "Ġt igers", + "Ġflash y", + "ĠMad ame", + "S word", + "Ġpref rontal", + "Ġpre requisite", + "uc a", + "Ġw ifi", + "Ġmiscon ception", + "Ġharsh ly", + "ĠStream ing", + "ot om", + "ĠGiul iani", + "foot ed", + "Ġtub ing", + "ind ividual", + "z ek", + "n uclear", + "m ol", + "Ġright ful", + "49 3", + "Ġspecial ization", + "Ġpassion ately", + "ĠVel ocity", + "ĠAv ailability", + "T enn", + "Ġl atch", + "ĠSome body", + "Ġhel ium", + "cl aw", + "Ġdi pping", + "XX X", + "Ġinter personal", + "7 10", + "Ġsub ter", + "Ġbi ologists", + "ĠLight ing", + "Ġopt ic", + "Ġden im", + "end on", + "ĠC orm", + "Ġ3 41", + "ĠC oup", + "Ġfear less", + "Ġal ot", + "ĠCliff ord", + "ĠRun time", + "ĠProv ision", + "up dated", + "lene ck", + "Ġneur on", + "Ġgrad ing", + "ĠC t", + "sequ ence", + "in ia", + "con cept", + "Ġro aring", + "ri val", + "ĠCaucas ian", + "Ġmon og", + "key es", + "Ġappell ate", + "Ġlia ison", + "EStream Frame", + "ĠPl um", + "! .", + "Ġsp herical", + "Ġper ished", + "Ġbl ot", + "Ġben ches", + "Ġ4 11", + "Ġpione ered", + "Ġhur led", + "Jenn ifer", + "ĠYose mite", + "Ch air", + "Ġreef s", + "Ġelect or", + "ĠAnt hem", + "65 2", + "Ġun install", + "Ġimp ede", + "Ġbl inking", + "Ġgot o", + "Dec re", + "A ren", + "Ġstabil ization", + "ĠDis abled", + "ĠYanuk ovych", + "Ġoutlaw ed", + "ĠVent ura", + "ten ess", + "Ġplant ation", + "Ġy acht", + "ĠHu awei", + "Ġsol vent", + "Ġgr acious", + "Ġcur iously", + "Ġcapac itor", + "Ġc x", + "ĠRef lex", + "Ph ys", + "ĠC f", + "pt in", + "cons ervative", + "Ġinv ocation", + "c our", + "F N", + "ĠNew ly", + "H our", + "As ian", + "ĠLe ading", + "ĠAer ospace", + "An ne", + "Ġpre natal", + "Ġdeterior ating", + "H CR", + "ĠNorm andy", + "ol ini", + "ĠAm bro", + "9 10", + "Ġset backs", + "ĠT RE", + "Ġs ig", + "ĠSc ourge", + "59 7", + "79 8", + "Game play", + "Ġm sec", + "M X", + "Ġprice y", + "ĠL LP", + "aker u", + "Ġover arching", + "ĠB ale", + "Ġworld ly", + "Cl ark", + "Ġscen ic", + "Ġdisl iked", + "ĠCont rolled", + "T ickets", + "ĠE W", + "ab ies", + "ĠPl enty", + "Non etheless", + "Ġart isan", + "Trans fer", + "ĠF amous", + "Ġinf ield", + "ble y", + "Ġunres olved", + "ĠML A", + "ãĤ Ĥ", + "Cor rection", + "Ġdemocr at", + "ĠMore no", + "ro cal", + "il ings", + "Ġsail or", + "Ġr ife", + "h ung", + "Ġtrop es", + "Ġsn atched", + "ĠL IN", + "ĠB ib", + "ES A", + "ĠPre v", + "ĠCam el", + "run time", + "Ġob noxious", + "4 37", + "Ġsum mers", + "Ġunexpl ained", + "ĠWal ters", + "cal iber", + "Ġg ull", + "ĠEnd urance", + "ä½ ľ", + "Ġ3 47", + "Ir ish", + "Ġaer obic", + "Ġcr amped", + "ĠHon olulu", + "à ©", + "us erc", + "ec ast", + "AC Y", + "ĠQu ery", + "ãĤ¹ ãĥĪ", + "Bet a", + "Ġsuscept ibility", + "ĠSh iv", + "ĠLim baugh", + "Ġà ĸ", + "ĠN XT", + "ĠM uss", + "ĠBrit ons", + "ES CO", + "EG IN", + "Ġ% %", + "Ġsec ession", + "ĠPat ron", + "ĠLu a", + "n aires", + "ĠJPM organ", + "us b", + "ocy te", + "Ġcouncill ors", + "ĠLi ang", + "f arm", + "Ġnerv ously", + "Ġattract iveness", + "ĠK ov", + "j ump", + "Pl ot", + "Ġst ains", + "ĠStat ue", + "ĠApost les", + "he ter", + "ĠSUP PORT", + "Ġoverwhel m", + "Y ES", + "Ġ29 1", + "d ensity", + "Ġtra pping", + "M it", + "Ġf ide", + "ĠPam ela", + "atl antic", + "Dam n", + "Ġp ts", + "OP A", + "Ġserv icing", + "Ġoverfl owing", + "ul o", + "ĠE rit", + "t icket", + "light ing", + "ĠH mm", + "ãĥ¼ ãĥ«", + "im oto", + "Ġchuck le", + "4 23", + "ãģ ķ", + "sh ape", + "Ġque ues", + "Ġanch ors", + "ãĤ¼ ãĤ¦ãĤ¹", + "F er", + "Ġaw oke", + "Ġ6 66", + "h ands", + "Ġdiver gence", + "Ġ50 5", + "T ips", + "Ġdep ot", + "Ġske w", + "ĠDel iver", + "op ot", + "Ġdiv ul", + "ĠE B", + "uns igned", + "ĠUn i", + "X box", + "Ġfor ks", + "Ġ7 02", + "å ¯", + "Ġpromot ers", + "ĠV apor", + "Ġlev ied", + "sl ot", + "Ġpig ment", + "Ġcyl inders", + "C RE", + "Ġsn atch", + "Ġperpet ually", + "Ġl icking", + "ĠFe et", + "ĠKra ken", + "ĠHold en", + "ĠCLS ID", + "m r", + "Ġproject or", + "Ġden otes", + "Ġchap el", + "ĠTor rent", + "b ler", + "R oute", + "ĠDef endant", + "ĠPublisher s", + "ĠM ales", + "ĠInn ov", + "ĠAg ility", + "rit er", + "ty mology", + "st ores", + "L ind", + "Ġf olly", + "ĠZur ich", + "B le", + "Ġnurt ure", + "Ġcoast line", + "uch in", + "D omin", + "Ġfri vol", + "ĠCons olid", + "res ults", + "M J", + "Ġphyl ogen", + "Ġha uled", + "ĠW iley", + "ĠJess ie", + "ĠPrep are", + "ĠE ps", + "Ġtreasure r", + "I AS", + "Ġcolon ists", + "Ġin und", + "ĠWW F", + "ĠCon verted", + "6 000", + "out side", + "ĠApp earance", + "ĠRel ic", + "ĠM ister", + "s aw", + "Ġresult ant", + "Ġadject ive", + "ĠLaure l", + "ĠHind i", + "b da", + "Pe ace", + "Ġreb irth", + "Ġmembr anes", + "Ġforward ing", + "Ġcoll ided", + "ĠCar olyn", + "K ansas", + "5 99", + "ĠSolid GoldMagikarp", + "Be ck", + "Ġstress ing", + "ĠGo o", + "ĠCooper ative", + "Ġf s", + "ĠAr chie", + "L iter", + "ĠK lopp", + "J erry", + "Ġfoot wear", + "War ren", + "Ġsc ree", + "h are", + "Under standing", + "P ed", + "Ġanth ology", + "ĠAnn ounce", + "M ega", + "Ġflu ent", + "Ġbond age", + "ĠDisc ount", + "il ial", + "C art", + "ĠNight mares", + "Sh am", + "ĠB oll", + "uss ie", + "H ttp", + "Atl anta", + "Ġun recogn", + "ĠB id", + "Ġunder grad", + "Ġforg iving", + "ĠGl over", + "AAAA AAAA", + "4 45", + "V G", + "pa io", + "kill ers", + "Ġrespons ibly", + "Ġmobil ize", + "Ġeffect ed", + "ĠL umin", + "Ġk ale", + "Ġinfring ing", + "ann ounced", + "Ġf itt", + "b atch", + "ĠT ackle", + "ĠL ime", + "ĠAP P", + "uke mia", + "Ġrub y", + "Ġex oner", + "ĠCas ual", + "0 70", + "Ġpel vic", + "Ġautom ate", + "ĠK ear", + "ĠCoast al", + "Ġcre ed", + "Ġbored om", + "ĠSt un", + "ri ott", + "Ĥ İ", + "Ġregener ate", + "Ġcomed ians", + "ĠOP ER", + "Sp ons", + "id ium", + "on is", + "L ocated", + "05 7", + "Ġsusp ense", + "ĠD ating", + "C ass", + "Ġneoc ons", + "ĠShin zo", + "Ġaw oken", + "ch rist", + "ĠMess ages", + "att led", + "ĠSpr ay", + "ĠSp ice", + "C W", + "Ġshield ing", + "ĠG aul", + "Am id", + "Ġparam ilitary", + "Ġmult if", + "ĠTan ner", + "il k", + "Ġgodd amn", + "g ements", + "Ġbe friend", + "m obi", + "Ġ3 88", + "fold er", + "acc a", + "Ġins in", + "g ap", + "N ev", + "fif th", + "Ġpsychiat ry", + "b anks", + "TH IS", + "Ġhar b", + "ac qu", + "Ġfac ade", + "ĠPower Point", + "80 3", + "Ġbl uff", + "Sh ares", + "Ġfavor ing", + "El izabeth", + "Ãį Ãį", + "Ġr anger", + "77 2", + "ĠAr che", + "h ak", + "ĠGen etics", + "ĠF EMA", + "Ġev olves", + "Ġest e", + "ĠP ets", + "ĠM é", + "ĠInterest ing", + "ĠCanter bury", + "ch apter", + "ĠStar fleet", + "Sp anish", + "Ġdraw back", + "ĠNor wich", + "9 70", + "n orth", + "ag anda", + "Ġtransform ative", + "ram ids", + "bi ology", + "ad ay", + "Ġpropag ation", + "ĠGam ma", + "ĠDen ise", + "ĠCalcul ator", + "ent imes", + "ĠB ett", + "Ġapp endix", + "ĠHD D", + "AK ING", + "Ġst igmat", + "Ġhol ster", + "Ġord inarily", + "Ch ance", + "ĠCont rary", + "Ġad hesive", + "Ġgather s", + "6 12", + "re au", + "ony ms", + "ew ays", + "Ġindu ces", + "Ġinterchange able", + "se m", + "Wh it", + "Ġtr ance", + "Ġincorpor ation", + "ĠExt ras", + "Fin ancial", + "Ġawkward ly", + "ĠStur geon", + "ĠH Y", + "Norm ally", + "ĠEnd ing", + "ĠAss ist", + "enc rypted", + "Ġsub jug", + "Ġn os", + "Ġfan atic", + "C ub", + "C U", + "?\" .", + "Ġirre versible", + "å Ĥ", + "03 1", + "ĠH AR", + "sp read", + "ul ia", + "= $", + "Sc ope", + "L ots", + "Ġlif estyles", + "ol on", + "Ġf eds", + "Ġcongrat ulate", + "web kit", + "Ġindist inguishable", + "ĠSw ing", + "Ġcommand ments", + "qu ila", + "ab ella", + "m ethyl", + "ann abin", + "Ġo vere", + "Ġlob ster", + "ĠQU EST", + "ĠCONT IN", + "bern atorial", + ":::: ::::", + "ĠTra ve", + "ĠSam oa", + "AN I", + "75 2", + "Ð ´", + "userc ontent", + "ĠMod erate", + "y eah", + "ĠK itt", + "Ġwe e", + "Ġstuff ing", + "ĠInter vention", + "ĠD ign", + "Ġware houses", + "ĠF iji", + "Ġpel lets", + "Ġtake away", + "ĠT ABLE", + "ĠClass ical", + "col lection", + "Ġland fall", + "ĠMus cle", + "Ġsett les", + "ĠAD V", + "Ġ3 44", + "L aura", + "Ġf ared", + "ĠPart ial", + "4 36", + "oss ibility", + "ĠD aly", + "ĠT arant", + "ĠFu ji", + "am l", + "c ence", + "55 1", + "ĠProced ures", + "ĠO CD", + "ĠU D", + "t in", + "Q UI", + "ach o", + "4 38", + "Ġgl itches", + "Ġenchant ment", + "Ġcalcul ates", + "IR O", + "ĠH ua", + "alys es", + "ĠL ift", + "um o", + "Ġle apt", + "Ġhypothes ized", + "ĠGust av", + "it ans", + "VERS ION", + "æ ł", + "Rog er", + "Ġr and", + "ĠAd apter", + "Ġ3 31", + "ĠPet ition", + "k ies", + "M ars", + "Ġunder cut", + "ze es", + "ĠLy ons", + "ĠDH CP", + "Miss ing", + "Ġretire es", + "Ġins idious", + "el i", + "> )", + ". ãĢį", + "Ġfinal ists", + "ĠA ure", + "Ġacc user", + "Ġwas tes", + "ĠY s", + "ĠL ori", + "Ġconstitu encies", + "Ġsupp er", + "Ġmay hem", + "or ange", + "Ġmis placed", + "Ġmanager ial", + "Ġex ce", + "ĠCL I", + "Ġprim al", + "ĠL ent", + "Cry stal", + "h over", + "ĠN TS", + "end um", + "Ġd w", + "ĠAl c", + "n ostic", + "Ġpres erves", + "ĠTs arnaev", + "Ġtri pled", + "rel ative", + "Arc ade", + "k illing", + "ĠW EEK", + "ĠH anna", + "D ust", + "Com pleted", + "ģ «", + "Ġappro ves", + "ĠSur f", + "ĠLuther an", + "ven ants", + "Ġrobber ies", + "we ights", + "soft ware", + "at ana", + "ug al", + "Ġgrav y", + "ĠC ance", + "OLOG Y", + "ly ak", + "Ton ight", + "Ġunve il", + "Ġ19 04", + "ĠMin ion", + "ent ious", + "st ice", + "pack ages", + "ĠG EAR", + "Ġg ol", + "ĠHutch inson", + "ĠProf ession", + "ĠG UN", + "ĠDiff erence", + "ĠTsuk uyomi", + "ĠLes bian", + "6 70", + "Ġfug itive", + "ĠPlan etary", + "-------------------------------- ------------------------", + "Ġacc rued", + "Ġch icks", + "Ġsto pp", + "Ġblock ers", + "C od", + "Ġcomment ers", + "ĠSomew here", + "ĠPhot ographer", + "the me", + "Ġmay oral", + "w u", + "Ġanten nas", + "Ġrev amped", + "ĠSubject s", + "it é", + "im ura", + "Ġentr ances", + "liter ally", + "Ġten ets", + "ĠO MG", + "ĠMP H", + "ĠDon key", + "ĠOff ense", + "Ġ\" +", + "Sn ap", + "ĠAF B", + "Ġan imate", + "ĠS od", + "His panic", + "Ġinconsist ency", + "D b", + "F Y", + "Ex port", + "Ġa pe", + "Ġpear l", + "ib el", + "ĠPAC s", + "Ġ{ \\", + "Ġact u", + "ĠHS BC", + "camp us", + "Ġpay off", + "Ġde ities", + "ĠN ato", + "ou ple", + "Ġcens ored", + "ĠCl ojure", + "Ġconf ounding", + "en i", + "Ġreck on", + "op he", + "Ġspot ting", + "Ġsign ifies", + "Ġprop el", + "Ġfest ive", + "S uggest", + "Ġpled ging", + "ĠB erman", + "Ġrebell ious", + "Ġovershadow ed", + "Ġinfiltr ated", + "j obs", + "67 2", + "Ġscal able", + "Ġdomin ion", + "ĠNew foundland", + "ĠMead ow", + "Ġpart itions", + "AM I", + "Ġsupplement ary", + "str ument", + "Ġhair y", + "Ġperpet uate", + "Ġnuts hell", + "ĠPot ato", + "ĠHob bit", + "Ġcur ses", + "Flo at", + "Ġquiet er", + "Ġfuel ing", + "Ġcaps ules", + "ĠL ust", + "ĠH aunted", + "Exec utive", + "Ġchild birth", + "G re", + "Ġrad iant", + "å İ", + "Ġm alls", + "Ġin ept", + "ĠWarrant y", + "Ġspect ator", + "E h", + "t hens", + "Ġculmin ating", + "æ ©", + "ary a", + "ãĤ ®", + "ilit arian", + "ĠOR IG", + "ĠSp ending", + "pt ives", + "ĠS iren", + "ĠRec ording", + "ay ne", + "Ġv im", + "Ġspr ang", + "T ang", + "ĠM FT", + "mor ning", + "ĠWe ed", + "m peg", + "cess ion", + "ĠCh ung", + "7 30", + "w arning", + "56 2", + "handed ly", + "P oor", + "P olitics", + ": #", + "Ġp ian", + "Ġfec es", + "ĠDocument ation", + "Ġban ished", + "Ġ3 99", + "ĠAR C", + "Ġhe inous", + "J ake", + "ĠAm ir", + "way ne", + "v re", + "os henko", + "Ġnotebook s", + "Ġfound ational", + "Ġmarvel ous", + "ixt ape", + "Ġwithdraw als", + "Ġh orde", + "ĠD habi", + "is able", + "ĠK D", + "Ġcontag ious", + "ĠD ip", + "ĠAr rows", + "Ġpronoun s", + "Ġmorph ine", + "ĠB US", + "68 2", + "Ġk osher", + "fin ished", + "ĠInstr uments", + "Ġf used", + "yd en", + "ĠSal mon", + "F ab", + "aff ected", + "K EN", + "C ENT", + "Dom ain", + "Ġpoke mon", + "ĠDr inking", + "G rowing", + "ĠInvestig ative", + "ĠA ether", + "em i", + "Ġtabl oid", + "Ġrep ro", + "ĠNot withstanding", + "ĠBers erker", + "Ġdram as", + "Ġclich é", + "Ġb ung", + "ĠU RI", + "ĠD os", + "0 44", + "Ġpast ors", + "Ġl s", + "Ġac rylic", + "aun ts", + "Ed ward", + "Ġmajor ities", + "B ang", + "Ġfield ing", + "ĠRepl acement", + "ĠAl chemy", + "pp ard", + "ĠRome o", + "ĠSan ct", + "ĠLav rov", + "ib ble", + "Inst ruct", + "Ġimp ractical", + "ĠPlay boy", + "ce phal", + "Ġsw aps", + "Ġk an", + "ĠThe o", + "Ġillust rating", + "Ġdismant led", + "ĠTrans gender", + "ĠG uth", + "UG H", + "Ġtriumph ant", + "Ġencomp ass", + "Ġbook mark", + "udd in", + "j er", + "Ġpred icate", + "ES H", + "Ġwhen ce", + "ĠAB E", + "Ġnon profits", + "Se qu", + "Ġdi abetic", + "Ġp end", + "Ġheart felt", + "sh i", + "Ġinter acts", + "ĠTele com", + "Ġbombard ment", + "dep ending", + "ĠLow ry", + "ĠAd mission", + "ĠBl ooming", + "ust ration", + "ene gger", + "B rew", + "Ġmol ten", + "ĠNer d", + "P IN", + "âĸ Ģ", + "ave ment", + "Ġtou red", + "Ġco efficients", + "ĠTray von", + "ans son", + "Ġsand y", + "t old", + "fl ows", + "Ġpop ulous", + "ĠT inder", + "ĠBl iss", + "R achel", + "Min imum", + "Ġcontest ant", + "ĠRed uce", + "ĠMor se", + "ĠGrass ley", + "ĠClick er", + "Ġexp r", + "Ġs incerity", + "Ġmar qu", + "Ġelic it", + "ĠPro position", + "ĠDemon ic", + "Ġtac os", + "G reek", + "Ġpost war", + "Ġin sofar", + "ĠP ork", + "Ġ35 2", + "doctor al", + "walk ing", + "Ġmid term", + "ĠSam my", + "sight ed", + "ĠTR ANS", + "ic i", + "AL D", + "ĠUS L", + "ĠF ISA", + "ĠAm pl", + "ĠAlex andra", + "ine lli", + "Tr ain", + "Ġsign ify", + "ĠVers us", + "Ġob fusc", + "Ġk h", + "Ġagg ro", + "ĠRen ault", + "Ġ3 48", + "5 18", + "ox icity", + "0 22", + "ĠTw ist", + "Ġgoof y", + "D ynamic", + "Ġbrief ings", + "m ight", + "8 99", + "Ġderog atory", + "T ro", + "Ġfor ging", + "ĠKor an", + "ĠMar ried", + "ĠBuc s", + "Ġpal ate", + "ĠCon version", + "m able", + "4 13", + "Ġ( _", + "Ġs iph", + "ĠN EO", + "col lege", + "Ġmarg inally", + "Ġfl irt", + "ĠTra ps", + "ĠP ace", + "é »Ĵ", + "Ġgoalt ender", + "Ġforb ids", + "Ġcler ks", + "ĠT ant", + "ĠRobb ins", + "ĠPrint ing", + "Ġpremie red", + "Ġmagn ification", + "ĠT G", + "ĠR ouse", + "ĠM ock", + "odynam ics", + "Ġpre clude", + "ism o", + "ĠPul itzer", + "Ġaval anche", + "ĠK odi", + "rib une", + "ĠL ena", + "Elect ric", + "Ġref inery", + "Ġend owed", + "Ġcounsel ors", + "Ġd olphin", + "ĠM ith", + "Ġarm oured", + "hib ited", + "Beg in", + "ĠP W", + "O il", + "ĠV or", + "ĠShar if", + "ĠFraz ier", + "est ate", + "Ġj ams", + "Pro xy", + "Ġband its", + "ĠPresbyter ian", + "ĠPrem iere", + "t iny", + "ĠCru el", + "Test ing", + "Ġhom er", + "ĠV ERS", + "ĠPro l", + "ĠDep osit", + "ĠCoff in", + "Ġsemin ars", + "Ġs ql", + "ĠDef endants", + "Altern atively", + "ĠR ats", + "ç «", + "ethy st", + "' >", + "Ġiss uer", + "58 9", + "Ġch aired", + "ĠAccess ories", + "man ent", + "Ġmar row", + "ĠPrim ordial", + "C N", + "Ġlimit less", + "ĠCarn age", + "Ġund rafted", + "q v", + "IN ESS", + "on ew", + "Ġco hesion", + "98 7", + "Ġne cks", + "Ġfootball er", + "ĠG ER", + "Ġdetect able", + "ĠSupport ing", + "ĠCS V", + "oc ally", + "k Hz", + "Ġund e", + "Ġsh one", + "Ġbud ding", + "tra k", + "Stand ing", + "ĠStar craft", + "ĠKem p", + "Ben ch", + "Ġthw arted", + "ĠGround s", + "ath i", + "L isa", + "Dial og", + "ĠS X", + "V ision", + "Ġingen ious", + "Ù IJ", + "Ġfost ering", + "ĠZ a", + "ĠIn gram", + "Ġ\" @", + "N aturally", + "6 16", + "0 35", + "ĠF AC", + "H mm", + "55 4", + "Ġacceler ator", + "ĠV end", + "Ġsun screen", + "Ġtuber culosis", + "rav iolet", + "ĠFunction al", + "ĠEr rors", + "ed ar", + "19 66", + "ĠSpect re", + "ĠRec ipes", + "88 5", + "ĠM ankind", + "L iverpool", + "Ġ| --", + "Ġsubst itutes", + "ĠX T", + "w ired", + "Ġinc o", + "ĠAf gh", + "E va", + "ic c", + "S ong", + "K night", + "Ġdilig ently", + "ĠBroad cast", + "A id", + "Ġaf ar", + "ĠH MS", + "aton in", + "ĠGr ateful", + "Ġfire place", + "ĠOm ni", + "e uro", + "ĠF RE", + "ĠSh ib", + "ĠDig est", + "t oggle", + "Ġheads ets", + "Ġdiff usion", + "ĠSqu irrel", + "ĠF N", + "Ġdark ened", + "out her", + "Ġsleep s", + "ĠX er", + "gun s", + "Ġset ups", + "Ġpars ed", + "Ġmamm oth", + "ĠCur ious", + "g ob", + "ĠFitz patrick", + "ĠEm il", + "im ov", + "........ .....", + "ĠB enny", + "Second ly", + "Ġheart y", + "Ġcons on", + "st ained", + "Ġgal actic", + "cl ave", + "Ġplummet ed", + "Ġp ests", + "Ġsw at", + "Ġrefer rals", + "ĠLion el", + "h oly", + "Ġunder dog", + "ĠSl ater", + "ĠProv ide", + "ĠAm ar", + "ress or", + "å Į", + "ong a", + "Ġtim id", + "Ġp iety", + "ĠD ek", + "Ġsur ging", + "az o", + "Ġ6 10", + "Ġdes ks", + "ĠSp okane", + "ĠAn field", + "Ġwars hips", + "ĠCob ra", + "Ġar ming", + "clus ively", + "ĠBad ge", + "ag ascar", + "ĠPR ESS", + "ĠMcK enzie", + "ĠFer dinand", + "burn ing", + "Af ee", + "Ġtyr ann", + "ĠI w", + "ĠBo one", + "100 7", + "ĠRe pt", + "Ċ Âł", + "Ġcar avan", + "ĠD ill", + "ĠBundes liga", + "Ch uck", + "Ġheal er", + "ãĥ¼ãĥ Ĩ", + "ĠH obby", + "Ġneg ate", + "Ġcrit iques", + "section al", + "mop olitan", + "Ġd x", + "Ġouts ourcing", + "ĠC ipher", + "t ap", + "Sh arp", + "Ġup beat", + "Ġhang ar", + "Ġcru ising", + "ĠNi agara", + "Ġ3 42", + "ill us", + "ĠS v", + "Ġsubt itles", + "Ġsqu ared", + "Ġbook store", + "Ġrevolution aries", + "ĠCarl ton", + "ab al", + "Ut ah", + "Ġdesp ise", + "ĠU M", + "cons ider", + "aid o", + "Ġc arts", + "ĠT urtles", + "Tr aining", + "Ġhonor ary", + " ¢", + "Ġtri angles", + "4 22", + "Ġreprint ed", + "Ġgrace ful", + "ĠMong olia", + "Ġdisrupt ions", + "ĠB oh", + "Ġ3 49", + "Ġdr ains", + "Ġcons ulate", + "Ġb ends", + "Ġm afia", + "ur on", + "ĠF ulton", + "m isc", + "Ġren al", + "Ġin action", + "ck ing", + "Ġphot ons", + "Ġbru ised", + "ĠC odes", + "og i", + "Ġn ests", + "ĠLove ly", + "ĠLib re", + "ĠD aryl", + "Ġ# ##", + "S ys", + ". ,\"", + "Ġfree zes", + "est ablishment", + "and owski", + "Ġcum bers", + "ĠSt arg", + "ĠBom bs", + "Ġleg ions", + "Ġhand writing", + "Ġgr un", + "ĠC ah", + "sequ ent", + "Ġm oth", + "ĠMS M", + "Ins ert", + "F if", + "Ġmot el", + "Ġdex ter", + "ĠB ild", + "hearted ly", + "Ġpro pe", + "ĠText ure", + "ĠJ unction", + "ynt hesis", + "oc ard", + "ĠVer a", + "ĠBar th", + "Ġμ g", + "Ġl ashed", + "Ġ35 1", + "ĠZ amb", + "ĠSt aples", + "ĠCort ex", + "ĠCork er", + "Ġcontinu um", + "ĠWR ITE", + "unt a", + "rid or", + "Ġde ems", + "0 33", + "ĠG OLD", + "p as", + "Ġrep ressive", + "ãĥĨ ãĤ£", + "Ġbaff led", + "Sc ar", + "Ġc rave", + "Ġ ______", + "Ġentrepreneurs hip", + "ĠDirector ate", + "Ġ' [", + "Ġv ines", + "Ġasc ended", + "ĠGR OUP", + "ĠGood bye", + "Ġdo gged", + "ãĥ´ ãĤ¡", + "Man ufact", + "Ġunimagin able", + "ri ots", + "ier rez", + "Ġrel ativity", + "ĠCraft ing", + "ra ught", + "ud en", + "c ookie", + "Ġassass ins", + "Ġdissatisf ied", + "ac ci", + "Ġcondu it", + "Sp read", + "ĠR ican", + "n ice", + "izz le", + "Ġsc ares", + "ĠWH Y", + "ph ans", + "5 35", + "Ġprot racted", + "ĠKrist en", + "5 36", + "ĠSc rib", + "ĠNe h", + "Ġtwent ies", + "Ġpredic ament", + "Ġhandc uffs", + "Ġfruit ful", + "ĠU L", + "ĠLud wig", + "Ġatt est", + "ĠBre aker", + "Ġbi ologically", + "ĠDeal er", + "Ġrenov ations", + "f w", + "ess en", + "Al ice", + "ĠHen ri", + "Ġun ilaterally", + "ĠS idd", + "h ai", + "ĠSt retch", + "S ales", + "Ġcumbers ome", + "ĠJ avier", + "Ġtrend y", + "Ġrot ting", + "ĠChall enges", + "Ġscra ps", + "Ġfac ets", + "ĠVer onica", + "ĠVer ge", + "ĠS ana", + "Al ien", + "ĠR ih", + "Ġrad ial", + "ect ar", + "Ġ6 30", + "cl i", + "Mar ie", + "Ġwild fire", + "ĠCat o", + "h ander", + "Ġwait ress", + "Ġch ops", + "ĠS ECTION", + "Ġblunt ly", + "ĠCat alog", + "n ian", + "stud y", + "Ġpat rolling", + "ĠT enth", + "nex us", + "ĠN ON", + "op sy", + "Ġsc athing", + "s ie", + "Ġdeterior ated", + "V B", + "Naz is", + "Ġdep ictions", + "Ġauthent icated", + "ĠCon ce", + "k rit", + "Ġpromul g", + "ĠL ONG", + "U FC", + "ĠVis itors", + "ĠRec all", + "Ġrehab ilit", + "ĠSL I", + "Ġglac ier", + "ĠB ite", + "Ġ50 3", + "Ġvom it", + "Ġfer mented", + "ĠKh alid", + "Ġgrad ed", + "ĠMag icka", + "ĠIch igo", + "power ful", + "ic ators", + "75 3", + "Ġsh rew", + "Ġ35 6", + "Ġlegal izing", + "Ġall otted", + "ĠArch demon", + "ith ing", + "igg urat", + "V OL", + "Le od", + "Ġo ily", + "Ġindu cing", + "Ġamy gdala", + "Ġadm ins", + "ĠAcqu isition", + "C AN", + "Ġsche matic", + "Ġmo an", + "ĠCamer oon", + "Ġt ink", + "Ġmer ry", + "Ġbutter flies", + "ĠGo ff", + "Ġworks pace", + "ĠCor ona", + "Ġj avascript", + "ĠD olphin", + "ĠCant or", + "4 64", + "to e", + "AP S", + "ĠAg ing", + "Ġpadd ed", + "ĠZ heng", + "ĠHe ld", + "Ġest ranged", + "Ġ7 70", + ". }", + "ĠDun ham", + "Ġsm okes", + "Ġcap itals", + "und ai", + "Sh in", + "ĠFound ing", + "Ġent itle", + "Ġcenter piece", + "D iscover", + "Ġthere to", + "al ert", + "ĠN ou", + "ĠAnaly st", + "l c", + "F H", + "FI ELD", + "ĠP OV", + "gr ay", + "Ġar cs", + "ĠH OT", + "Ġr s", + "Ġoblig atory", + "ĠArchitect s", + "ĠS ven", + "ĠF EC", + "0 200", + "Christ mas", + "ĠAlban ia", + "rat om", + "58 7", + "Ġhard ships", + "Ġaut os", + "ĠCharg es", + "Ġap es", + "Ġ3 76", + "wal let", + "Ġintox ication", + "Ġgobl in", + "Ġ5 70", + "++++++++ ++++++++", + "ĠYel p", + "ĠMag netic", + "ĠBr iggs", + "R ail", + "Ġspawn s", + "ĠW iggins", + "Ġshowc ased", + "Ġres orted", + "ub en", + "Ġwh ipping", + "Ġim itate", + "Ġdigest ion", + "ĠUS PS", + "ĠG est", + "Ġye a", + "ĠT ight", + "ind al", + "ic as", + "` .", + "C AST", + "'' ;", + "ĠF et", + "opath ic", + "In valid", + "Ġregrett ed", + "Ġbro ccoli", + "ĠSc ores", + "e ve", + "Ġpost ings", + "Ġaccum ulating", + "Ġneed less", + "elf th", + "Ġmay ors", + "Ġsc rib", + "Ġanecd otes", + "Ġbot ched", + "ĠRib bon", + "ĠConstant ine", + "i uses", + "ess es", + "Ġdev ise", + "Comp ared", + "Ġp udding", + "Ġg arg", + "Ġev oke", + "79 7", + "Ġdet ox", + "9 09", + "ĠPie ces", + "ĠMcC artney", + "Ġmet ast", + "ĠK rypt", + "P OR", + "Ġt ending", + "ĠMerch ants", + "Pro of", + "ĠV arg", + "ĠPort able", + "ãĥ¼ãĥĨ ãĤ£", + "B rain", + "25 00", + "Ġfol iage", + "Ø ¹", + "Ġment ors", + "ĠA ires", + "Ġminimal ist", + "Ġing ested", + "ĠTro jan", + "ĠQ ian", + "inv olved", + "0 27", + "Ġer oded", + "RA FT", + "Ġbl urry", + "M ob", + "Ġbuff et", + "ĠFn atic", + "ae a", + "KN OWN", + "ĠIn it", + "s afety", + "en um", + "ACT ION", + "ĠCrus her", + "ĠD ates", + "Ġ ................", + "c alling", + "ak ov", + "Ġvent ured", + "Ġ5 55", + "au ga", + "H art", + "ĠA ero", + "M AC", + "Ġthin ly", + "Ġar ra", + "ST ATE", + "ild e", + "ĠJac qu", + "ĠFem ales", + "Ġthe orem", + "Ġ3 46", + "Ġsmart est", + "ĠPU BLIC", + "ĠK ron", + "ĠB its", + "ĠV essel", + "ĠTele phone", + "Ġdec ap", + "Ġadj unct", + "ĠS EN", + "mer ga", + "Ġred acted", + "Ġpre historic", + "Ġexplan atory", + "ĠRun s", + "ĠUtt ar", + "ĠM anny", + "ĠAUTH OR", + "ĠUnle ashed", + "ĠBow ling", + "be ans", + "79 3", + "Ġunivers es", + "Ġsens it", + "ĠK ung", + "re peat", + "ctr l", + "Ġp aced", + "Ġfull er", + "Cl ock", + "Ġrec omb", + "ĠF aul", + "ĠB unker", + "Ġpool ed", + "Ġan a", + "ĠM outh", + "LL OW", + "hum ane", + "Ġbull do", + "ĠMicha els", + "f am", + "Ġwreck ed", + "Ġport rays", + "ĠWh ale", + "ĠH es", + "Ġguess es", + "ĠBrow se", + "ĠL APD", + "Ġconsequ ential", + "ĠInn ocent", + "ĠD RAG", + "Ġtrans gress", + "ĠO aks", + "Ġtri via", + "ĠRes on", + "ĠA DS", + "-- +", + "ĠT oll", + "Ġgrasp ing", + "ĠTHE M", + "ĠT ags", + "ĠCon clusion", + "Ġpract icable", + "Ġho op", + "Ġunintention ally", + "Ġign ite", + "ĠM ov", + "ur ized", + "le hem", + "Ter min", + "Ġcolour ful", + "ĠLin ear", + "ĠEll ie", + "G y", + "Ġman power", + "Ġj s", + "Ġem oji", + "ĠSHAR ES", + "_ .", + "0000 7", + "Ġsophistic ation", + "Ġunders core", + "Ġpract ise", + "Ġbl ob", + "op ens", + "Uk raine", + "Ke eping", + "Y C", + "J R", + "ult imate", + "Cl aim", + "Ġautom obiles", + "99 3", + "ste el", + "Ġpart ing", + "ĠL ank", + "... ?", + "Ġ38 5", + "Ġremem brance", + "Ġe ased", + "Ġcov ari", + "ĠS ind", + "Effect ive", + "Ġdisse mination", + "ĠMo ose", + "ĠCl apper", + "br ates", + "App ly", + "Ġinv is", + "Ġwors ened", + "âĢĶ -", + "Ġlegisl ator", + "ĠL ol", + "ĠRow e", + "Ġdealers hip", + "um ar", + "id ences", + "Ġinvestig ates", + "Ġc ascade", + "Ġbid der", + "ĠB EN", + "Iron ically", + "Ġpres iding", + "Ġd ing", + "Ġcontrad icted", + "Ġshut s", + "ĠF IX", + "Ġ3 66", + "Dist rict", + "Ġsin ful", + "ĠChar isma", + "o ops", + "Ġtot ality", + "Ġrest itution", + "ĠOpt imus", + "ĠD ah", + "Ġcl ueless", + "urn ed", + "Ġnut rit", + "Ġland owners", + "Ġfl ushed", + "Ġbroad en", + "m ie", + "Ġprint ln", + "Ġn ig", + "ĠCorp us", + "J en", + "Ġprot o", + "ĠWik imedia", + "ĠPal o", + "C OR", + "Ġstory lines", + "Ġevangel icals", + "ĠDar rell", + "Ġrot or", + "ĠH W", + "sk illed", + "ery l", + "Ġbe gg", + "ĠBl umenthal", + "Ġwe aving", + "Ġdown wards", + "ĠJack et", + "ĠANG EL", + "Te chnology", + "Ġes oteric", + "alde hyde", + "Ġfur iously", + "Ġforeign er", + "We ak", + "CH O", + "ĠH ound", + "Exper ience", + "ĠPlay station", + "ĠM IA", + "ĠU ng", + "cl oth", + "ag all", + "Ġcal ming", + "iz ens", + "St ruct", + "ĠW itches", + "ĠCeleb ration", + "Ġ........ ......", + "pt roller", + "ĠTC U", + "Ġb unny", + "ãĥ į", + "ut orial", + "Ġup scale", + "ĠSt a", + "ĠCol ossus", + "Ġchlor ide", + "ĠZ ac", + "ĠRe asons", + "ĠBrook ings", + "ĠWH ITE", + "][ /", + "ĠL ose", + "9 05", + "Ġunders ide", + "ern els", + "Ġv ape", + "do zen", + "upp et", + "ĠST OP", + "mat ical", + "ĠStat ements", + "hed dar", + "P AC", + "Custom er", + "Ġmem os", + "ĠP J", + "end ars", + "ĠLim its", + "l augh", + "Ġstabil ized", + "ĠALE C", + "Y A", + "Up grade", + "al am", + "Ġtechn o", + "Ġan ew", + "fore seen", + "Ġcolleg iate", + "ĠPy ro", + "ĠD ism", + "Ġfront line", + "Ġammon ia", + "I U", + "Qu ite", + "John ny", + "ass in", + "G OP", + "ĠSt yles", + "ĠSovere ign", + "acter ial", + "5 49", + "ĠR IP", + "ĠL ists", + "Ġ3 64", + "ĠRece p", + "s ocket", + "ĠByr d", + "ĠCand le", + "An cient", + "Ġappell ant", + "en forcement", + "ace a", + "ans ki", + "Ġold s", + "88 6", + "Ġsl urs", + "Ġem pires", + "Ġbuck le", + "Ġalien ation", + "ĠAber deen", + "Ġunic orn", + "Ġoverr iding", + "ĠL X", + "pp a", + "Ġdesp ised", + "ĠB ugs", + "ĠB ST", + "S outhern", + "5 33", + "Ġhall mark", + "ĠPost er", + "Ġstem med", + "Ġprincip als", + "ĠT ECH", + "ĠSand wich", + "It aly", + "Ġche esy", + "ĠSet TextColor", + "ĠProt ective", + "ĠC ohn", + "J O", + "apt op", + "Re ason", + "Lead er", + "ĠUnder stand", + "ĠFr idays", + "ĠContin uous", + "Ġcl ipping", + "ĠR ye", + "Ġber th", + "tim er", + "ann is", + "re act", + "Ġbuff alo", + "ĠPar as", + "Ġ6 55", + "Ġpres ided", + "ĠSun rise", + "Ġve ts", + "Ġcl oves", + "ĠMcC ull", + "Stre ngth", + "G AN", + "Ġill iter", + "ĠPric ing", + "l é", + "Ġresist or", + "Ġbr un", + "ĠSuff olk", + "Ñ ĭ", + "ĠL iver", + "Re leased", + "Ġwhat s", + "8 60", + "ĠMe asures", + "Ġden ouncing", + "ĠRy zen", + "Ġsou ven", + "Ġcareg ivers", + "ch ini", + "ĠScar lett", + "Ġt rough", + "Cong ratulations", + "Ġtax is", + "ĠTrad ition", + "j it", + "Ġtable top", + "Ġhither to", + "Ġdis information", + "off ensive", + "h ra", + "ĠDISTR ICT", + "Ġcompl icate", + "chen ko", + "ĠRecon struction", + "Ġpalp able", + "Ġa usp", + "Ġ4 28", + "Ġshowc ases", + "ĠPublic ation", + "know ledge", + "inn on", + "4 19", + "Ġretri eval", + "and ers", + "Ġref ute", + "Ġinqu ired", + "g ur", + "Ġneg ativity", + "Ġcons erve", + "Ġafter life", + "Ġpres upp", + "ĠGill espie", + "Ġm t", + "ĠD N", + "T ap", + "Ġper pend", + "ĠS my", + "does n", + "Ġsp illing", + "Ġhyp ers", + "K ate", + "® ,", + "ke pt", + "ĠP owered", + "Ġj a", + "ĠK lux", + "ard e", + "ab an", + "Ġ4 44", + "Ġflatt ened", + "ĠImprove ments", + "urg a", + "ĠK und", + "Ġins cribed", + "Ġfac ult", + "Ġunpre pared", + "ĠCons umers", + "Ġsatisf ies", + "Ġpul monary", + "Ġinf iltration", + "Ġex ternally", + "Ġcongrat ulations", + "ag han", + "Ġair liner", + "Ġfl ung", + "Ġfly ers", + "G D", + "Ġsnipp ets", + "Ġrec ursive", + "Ġmaster ing", + "L ex", + "Ġovert ly", + "v g", + "Ġluck ily", + "Ġenc ro", + "ĠLanc et", + "ĠAbyss al", + "function al", + "Ġs ow", + "Ġsqu id", + "Ġnar ration", + "Ġn aughty", + "ĠHon our", + "ĠSpart ans", + "Ġsh atter", + "ĠTac oma", + "ĠCal ories", + "ĠR aces", + "Sub mit", + "Ġpurpose fully", + "w av", + "ĠY ok", + "F est", + "ĠG err", + "Met ro", + "Ġit iner", + "f amous", + "Ġ\" {", + "in line", + "was her", + "Iss ue", + "ĠCL IENT", + "oz o", + "Vers ions", + "7 25", + "ĠGl ock", + "Ġshield ed", + "ĠPC R", + "ENC Y", + "ĠWe ld", + "ĠSim pl", + "Ġredirect ed", + "ĠK ham", + "Ġ( >", + "Ġlab ou", + "Ġdi apers", + "ss l", + "Ġcell ar", + "organ isms", + "ore sc", + "ĠBer ks", + "did n", + "Sh ipping", + "C hest", + "Ġund one", + "Ġmillion aire", + "Ġc ords", + "ĠYoung er", + "appropri ately", + "Ġsequ els", + "u ve", + "ant icipated", + "Ġle wd", + "ĠSh irt", + "ĠDmit ry", + "V eter", + "Ġsl aying", + "ĠY ar", + "Ġcompl ication", + "I owa", + "ĠEric a", + "ĠBL M", + "g irlfriend", + "b odied", + "6 26", + "19 63", + "Ġintermedi ary", + "Ġcons olation", + "M ask", + "ĠSi em", + "ow an", + "Beg inning", + "Ġfix me", + "Ġculmin ated", + "Ġcon duc", + "ĠVolunte er", + "Ġpos itional", + "Ġgre ets", + "ĠDefin itions", + "Ġthink er", + "Ġingen uity", + "Ġfresh men", + "ĠMom ents", + "Ġ35 7", + "ate urs", + "ĠFed Ex", + "s g", + "69 4", + "Ġdwind ling", + "ĠBO X", + "sel age", + "Ġt mp", + "Ġst en", + "ĠS ut", + "Ġneighbourhood s", + "Ġclass mate", + "f ledged", + "Ġleft ists", + "Ġclim ates", + "ATH ER", + "ĠScy the", + "ul iffe", + "Ġs ag", + "Ġho pped", + "ĠF t", + "ĠE ck", + "ĠC K", + "ĠDo omsday", + "k ids", + "Ġgas ped", + "Ġmon iker", + "ĠL od", + "ĠC FL", + "t ions", + "r ums", + "fol ios", + "Ġm d", + "Ġunc anny", + "Ġtrans ports", + "ĠLab rador", + "Ġrail ways", + "Ġappl iance", + "ĠCTR L", + "æ Ģ", + "Pop ulation", + "ĠConfeder acy", + "Ġunb earable", + "Ġdors al", + "ĠIn form", + "op ted", + "ĠK ILL", + "Mar x", + "Ġhypoc ritical", + "q us", + "ĠN umerous", + "ĠGeorg ian", + "ĠAmbro se", + "ĠL och", + "Ġgu bernatorial", + "ĠX eon", + "ĠSupp orts", + "ens er", + "ee ly", + "ĠAven ger", + "19 65", + "Ar my", + "Ġju xtap", + "Ġcho pping", + "ĠSpl ash", + "ĠS ustainable", + "ĠFin ch", + "Ġ18 61", + "ict ive", + "at meal", + "ĠG ohan", + "Ġlights aber", + "ĠG PA", + "ug u", + "ĠRE PL", + "vari able", + "Ġher pes", + "Ġdesert s", + "ac iously", + "Ġsitu ational", + "week ly", + "ob l", + "Ġtext ile", + "ĠCorn wall", + "Ġcontrace ptives", + "ĠA ke", + "] -", + "ä¹ ĭ", + ": ,", + "ĠW em", + "ĠB ihar", + "Ġ' .", + "Ġbe re", + "Ġanal ogue", + "ĠCook ies", + "Ġtake off", + "Whe el", + "Ġmaj estic", + "Ġcomm uting", + "0 23", + "ĠCor pse", + "ass ment", + "min i", + "Ġgor illa", + "ĠAl as", + "ere e", + "Ġacquaint ances", + "ĠAd vantage", + "Ġspirit ually", + "Ġey ed", + "pm wiki", + "ĠE nder", + "Ġtrans lucent", + "Ġnight time", + "ĠIM AGES", + "5 45", + "ĠK amp", + "ĠFre ak", + "Ġ ig", + "Port land", + "4 32", + "ĠM ata", + "Ġmar ines", + "Ġh ors", + "ater asu", + "ĠAtt ribution", + "Ġ-------- -", + "Ġk ins", + "ĠBEL OW", + "++ +", + "Ġre eling", + "ol ed", + "Ġcl utter", + "ĠRel ative", + "Ġ4 27", + "B US", + "Ġa vert", + "ĠChe ong", + "ĠA ble", + "ĠPry or", + "Develop er", + "Ġen cyclopedia", + "ĠUSA F", + "ĠG arry", + "Sp ain", + "Bl ocks", + "Ġexp osition", + "ĠGamer Gate", + "W OR", + "Ġstockp ile", + "Ġclot hed", + "ĠT one", + "ĠR ue", + "t umblr", + "Ġtreacher ous", + "Ġf rying", + "Ñ Į", + "ĠS ph", + "Ġrest raints", + "Ġemb odies", + "ĠG es", + "S afety", + "Ġnegoti ators", + "min ing", + "ĠAppalach ian", + "L OS", + "ĠJenn a", + "Ġpass ers", + "ç ĭ", + "sn ap", + "Ġshort en", + "creat or", + "Ġinn umerable", + "uther land", + "67 4", + "ĠW OM", + "ĠAs cend", + "ĠArm ory", + "ĠTrans action", + "K ick", + "Ġsuit case", + "day Name", + "Ġwaste ful", + "mar riage", + "ĠMcC abe", + "ite ch", + "ĠO ss", + "Cl osure", + "ĠTreasure r", + "Ġindec ent", + "ĠD ull", + "Ġresid ences", + "19 59", + "ĠS ettlement", + "Ham ilton", + "Ġself ies", + "ĠRank ing", + "ĠBark ley", + "ĠB ore", + "ĠW CS", + "ĠMar itime", + "ĠH uh", + "ĠForest ry", + "Ġcultiv ating", + "ĠBall ard", + "Ġg arrison", + "ĠSD L", + "9 30", + "Ġnas cent", + "Ġirresist ible", + "Ġaw fully", + "\\/ \\/", + "Ġequ ate", + "Ġanthrop ology", + "ĠSylv ia", + "Ġintest ine", + "Ġinnoc uous", + "cess ive", + "ag ra", + "ĠMet roid", + "G rant", + "8 55", + "ģ ĸ", + "Ġ\" _", + "ãĥĥ ãĥī", + "Ġappra isal", + "ĠFred dy", + "04 6", + "Ġ40 6", + "Ġ18 30", + "Ġd ocking", + "St atic", + "Ġp ont", + "ĠVolt age", + "ĠSt ead", + "ĠMort gage", + "ĠJon ah", + "Y L", + "CLASS IFIED", + "Ġas bestos", + "nik ov", + "Ġcoll agen", + "ĠOrb ital", + "P ocket", + "7 99", + "Ġhy brids", + "inc hes", + "Ġinv oice", + "und y", + "Ġinequ alities", + "T rend", + "w ashed", + "B ALL", + "Ġluc id", + "ĠComment ary", + "Ġw itty", + "Br andon", + "Ġbru ising", + "Ġ6 20", + "es cent", + "box ing", + "P OL", + "Ġ3 78", + "R ect", + "Ġlic ences", + "ĠMcG ee", + "p ressed", + "D anny", + "Ġj ammed", + "ord inate", + "Ġle th", + "Ġdistingu ishes", + "ĠYam aha", + "IL S", + "ĠH ume", + "ĠC ategories", + "Rober ts", + "Ch art", + "Ġbeet le", + "ĠGra veyard", + "Ġ($ )", + "o ÄŁ", + "Ġtw ilight", + "are lla", + "á ½", + "Ġbooth s", + "ĠH HS", + "ĠFeld man", + "Ġexcav ation", + "Ġphilosoph ies", + "at ography", + "ĠGar age", + "te chnology", + "Ġunfor gettable", + "Ġver ifying", + "Ġsubord inates", + "E ls", + "Ġne b", + "G aming", + "EN A", + "ĠAchieve ment", + "it ters", + "ĠG abe", + "Ġd umps", + "for cer", + "Ġpo ignant", + "ĠM BA", + "ĠHe idi", + "ime i", + "Ġm ages", + "Ġliber ate", + "Ġcircum cised", + "ĠMer maid", + "ĠMat th", + "t ogether", + "ĠW ichita", + "Ġstore front", + "ĠAd in", + "V II", + "Four th", + "Ġexplore rs", + "W ER", + "Not able", + "Bro ok", + "m ens", + "F aith", + "-------- -", + "ĠJ ou", + "¬ ¼", + "Ġpine apple", + "Ġam alg", + "el n", + "ark able", + "ĠãĤµ ãĥ¼ãĥĨãĤ£", + "ĠãĤµãĥ¼ãĥĨãĤ£ ãĥ¯ãĥ³", + "Ġov arian", + "ĠE choes", + "Ġhairc ut", + "Ġp av", + "Ġch illed", + "anas ia", + "Ġsty led", + "Ġd ab", + "ni per", + "Ġminister ial", + "ĠD UP", + "T an", + "Ġsul ph", + "ĠD eter", + "ĠBo hem", + "od an", + "Ġeduc ator", + "â ĵĺ", + "sp ir", + "Ch icken", + "ĠE leanor", + "Ġqu i", + "Ġheav iest", + "Ġgrasp ed", + "U RA", + "Ġcro oked", + "Jess ica", + "pro blem", + "Ġpred etermined", + "Ġman iac", + "Ġbreath s", + "ĠLauder dale", + "Ġh obbies", + "y z", + "Cr ime", + "Ġcharism a", + "d L", + "Ġle aping", + "Ġk ittens", + "Ang elo", + "ĠJ ACK", + "ĠSu zanne", + "Ġhal ting", + "ENT ION", + "Ġswall owing", + "ĠEarthqu ake", + "Ġeight eenth", + "ĠN IC", + "ĠIN F", + "ĠCons cious", + "Ġparticular s", + "circ le", + "7 40", + "Ġbene volent", + "Ġ7 47", + "Ġ4 90", + "Ġr undown", + "ĠVal erie", + "ĠB UR", + "Ġcivil isation", + "ĠS chn", + "W B", + "ot ide", + "intern ational", + "Ġj ohn", + "Ġ19 02", + "Ġpe anuts", + "Ġflav ored", + "k us", + "Ġro ared", + "Ġcut off", + "é £", + "Ġorn ament", + "Ġarchitect ures", + "Ġ3 69", + "ol or", + "ĠWild e", + "ĠC RC", + "ĠAdjust ed", + "Ġprov oking", + "land ish", + "Ġrational ity", + "Ġjust ifies", + "Ġdisp el", + "Ġa meric", + "ĠPol es", + "Ø ©", + "Ġen vis", + "ĠD oodle", + "ä½ ¿", + "igs aw", + "auld ron", + "Techn ical", + "T een", + "up hem", + "ĠX iang", + "Ġdetract ors", + "ĠZ i", + "ĠJournal ists", + "Ġconduc ive", + "ĠVolunte ers", + "Ġs d", + "Know ing", + "Ġtrans missions", + "ĠPL AN", + "ĠL IB", + "Ġall uded", + "Ġob e", + "Ġd ope", + "ĠGold stein", + "Ġwavelength s", + "ĠDest ination", + "nd a", + "ug i", + "Ġattent ive", + "ĠLe an", + "ral tar", + "Ġman g", + "mb uds", + "ak ings", + "b ender", + "Ġacc ol", + "Ġcraw led", + "N OW", + "Min nesota", + "Ġflour ished", + "ĠZ up", + "ĠSuper visor", + "ĠOliv ier", + "Ex cellent", + "Ġwid en", + "D one", + "Ġw ig", + "Ġmiscon ceptions", + "Cor p", + "W an", + "Ġvener able", + "ĠNot ably", + "ĠKling on", + "an imate", + "Bo ost", + "ĠS AY", + "miss ing", + "ibli ography", + "mel on", + "Ġpay day", + "Ø ³", + "bo le", + "Ġve iled", + "ĠAl phabet", + "It alian", + "Ġever lasting", + "ĠR IS", + "ĠC ree", + "rom pt", + "Ġh ating", + "Ġgrin ning", + "Ġge ographically", + "OS H", + "Ġwe eping", + "ĠÂłĠÂłĠÂłĠÂł ĠÂłĠÂłĠÂłĠÂł", + "Ġimpe cc", + "Let ter", + "Ġblo ated", + "PL A", + "ĠFe in", + "Ġper sever", + "Th under", + "Ġa ur", + "ĠR L", + "Ġpit falls", + "âĸ º", + "Ġpredomin ant", + "Ġ5 25", + "7 18", + "AP E", + "7 14", + "Ġfarm land", + "ĠQ iao", + "Ġv iolet", + "ĠBah amas", + "Ġinflic ting", + "ĠE fficiency", + "Ġhome brew", + "Ġundert ook", + "Ġcur ly", + "ĠHard ing", + "man ia", + "59 6", + "Ġtem pered", + "Ġhar rowing", + "ĠP ledge", + "ĠFranken stein", + "è ª", + "M otion", + "Ġpredict ably", + "ĠExpl osion", + "oc using", + "er d", + "col o", + "FF ER", + "Ġback field", + "ĠV IDE", + "ue bl", + "N arr", + "ĠArg ument", + "Ġgen omic", + "Ġbout ique", + "Ġbatt ed", + "ĠB inary", + "Ġg amb", + "ĠRh ythm", + "67 3", + "Ġa float", + "ĠOlymp ia", + "Y ING", + "Ġend if", + "is in", + "Ġwin ters", + "Ġsc attering", + "I v", + "D istance", + "Ġtr u", + "ĠCom fort", + "Ġne xus", + "Ġair flow", + "ĠByz antine", + "p ayers", + "con i", + "ĠB etsy", + "D eal", + "ĠN ug", + "ĠContin ent", + "red ibly", + "Ġoptim izing", + "al beit", + "Ġec static", + "ĠPro to", + "ç ·", + "iv ot", + "âĸ Ħ", + "em p", + "rou nder", + "Ġcl out", + "ĠI ST", + "66 3", + "ĠDoll ars", + "ĠD AC", + "Ġsubsc ribed", + "Ġrehears al", + "Ġam ps", + "ĠSh ang", + "es m", + "Ġspr inkle", + "Ġassail ant", + "ĠO o", + "ĠCoin base", + "T act", + "Ġret ina", + "Ġn uns", + "R ON", + "att o", + "Ġj ug", + "ĠSV G", + "Ġb ikini", + "ĠFI LE", + "ĠFound ers", + "ep ort", + "ĠK P", + "Ġrest ores", + "ĠTh ick", + "Ġash ore", + "Ġappro vals", + "R ender", + "M AG", + "G raham", + "ĠCort ana", + "ãĥ³ ãĤ¸", + "ss h", + "or ians", + "ars ity", + "ĠInsp ired", + "u pper", + "Ġsign alling", + "Ġreb uke", + "Ġfl ares", + "Ġdownt ime", + "Stud ies", + "Ġstagn ation", + "ĠSequ ence", + "Ġgr unt", + "Ġass ures", + "ĠPL A", + "59 2", + "Ġintra ven", + "d epend", + "Sus an", + "ĠManz iel", + "Man ia", + "Cont ract", + "Ġsl ams", + "Ġcult ured", + "Ġcred itor", + "L IST", + "ĠH UM", + "ĠChatt anooga", + "serv ed", + "Ġclo aked", + "ĠF TP", + "p owder", + "ĠSt ella", + "uct ive", + "Ġcheap ly", + "ĠMU CH", + "ĠGalile o", + "Ġsu ites", + "spe ech", + "Ġdeliber ations", + "ĠCh ips", + "« ĺ", + "Bal ance", + "ĠWyn ne", + "ĠAk ron", + "Ass et", + "Ġhon oured", + "Ġed ged", + "Like wise", + "anim ous", + "ĠW age", + "ĠEz ek", + "ad vertisement", + "ĠRT X", + "ĠM AD", + "Ġmigr ating", + "ĠS QU", + "Ġ4 75", + "Ed ited", + "Ġshorth and", + "ĠBas ics", + "Ġcro tch", + "ĠEV EN", + "Ġv m", + "effic iency", + "Ġcal ves", + "ĠF rie", + "ĠBrill iant", + "Ġstri kers", + "Ġrepent ance", + "Ġarter ies", + "r l", + "B ed", + "h ap", + "Ġcrypt ography", + "ĠSab res", + "Ġ4 14", + "vi ks", + "ih ara", + "aps es", + "T alking", + "Ġintertw ined", + "Ġdoc ks", + "Ġalle le", + "ĠArt ifact", + "ĠH IM", + "t orn", + "ç ķ", + "Ġop acity", + "ĠE ly", + "os uke", + "Ġn ipple", + "Ġhand written", + "ĠV K", + "ĠChamber lain", + "ĠLa os", + "ig raph", + "g row", + "Ġtr illions", + "Ġdescend ant", + "ĠSail or", + "as uring", + "Ġce ilings", + "ĠWare house", + "f lying", + "ĠGl ow", + "Ġn ont", + "Ġmiscar riage", + "Ġrig s", + "Ġmin istries", + "Ġelabor ated", + "Ġdel usional", + "ĠHum ane", + "Ġ3 79", + "n ets", + "Ġblack out", + "add ers", + "Ġn p", + "ĠT ire", + "ro sc", + "Ġsub div", + "Ġlink age", + "Ġchron ological", + "ĠHER O", + "Ġres ettlement", + "ĠVin yl", + "Ġpast oral", + "ĠMob il", + "ĠBar bar", + "Co oldown", + "ĠF ritz", + "c riminal", + "re pe", + "Ġbell ig", + "ĠBre ed", + "Ġ4 18", + "Ġsem blance", + "ij k", + "Ġcur tail", + "Ġclin ch", + "cont ained", + "ĠProm pt", + "ast on", + "Ġw i", + "Ġpursu its", + "5 15", + "ĠGl oss", + "Ġfl ips", + "Ġcoup ons", + "Ġcl oning", + "ĠLike ly", + "Rem oved", + "ĠQu artz", + "r ices", + "ĠSpe ars", + "Ġp ious", + "Ġdep reciation", + "ĠD are", + "oun ces", + "am az", + "O nt", + "Ġp innacle", + "d ocker", + "0 26", + "ĠW yr", + "ĠPro per", + "Ë Ī", + "n il", + "By tes", + "Ġseek er", + "t rial", + "Ġunf olds", + "ĠMar se", + "Ġextravag ant", + "ĠSurviv ors", + "RED ACTED", + "ĠSpeed way", + "ĠCra igslist", + "sub mit", + "ĠGener ations", + "Ġup holding", + "Ġblood stream", + "ĠMiss ions", + "ĠL awn", + "Ġlim bo", + "ene i", + "H uh", + "ĠWild cats", + "pre p", + "ĠMark us", + "ĠFor bidden", + "rit ic", + "IN O", + "Ġexhib iting", + "requ ent", + "ch uk", + "Ġhabit ual", + "ĠComp atibility", + "Dr ag", + "RIP T", + "uj ah", + "GR OUND", + "Ġdelinqu ent", + "Ġburn er", + "Ġcontempor aries", + "Ġgimm ick", + "load s", + "Ġno zzle", + "p odcast", + "ĠW ak", + "ĠStat en", + "ĠK uh", + "ãģ ĵ", + "inter rupted", + "Ġinv incible", + "ĠBurn ett", + "cig arette", + "ĠPeb ble", + "ĠTem porary", + "ĠMar ino", + "58 2", + "Ġwast eland", + "ident ly", + "T x", + "Ġr ite", + "ĠPan asonic", + "ĠM iddles", + "ĠHort on", + "ae us", + "Ġc uring", + "Ġm ats", + "Ġadj ourn", + "Ġfears ome", + "pe z", + "bo ats", + "Ġpro pell", + "Ġconflic ted", + "ĠAng er", + "Ġinsurg ent", + "K arl", + "Ġco ales", + "Ġsouth western", + "Ġdis su", + "ĠO vert", + "******** ****", + "Ġbox ed", + "ĠBr une", + "aa a", + "Ġgard ening", + "ĠEng el", + "tr acks", + "Ġpur ified", + "Ġplace holder", + "ĠL ikes", + "Ġd an", + "G ab", + "Ġe ct", + "ĠF aw", + "ĠEl iot", + "Ġ' ,", + "otrop ic", + "ĠRu in", + "hed on", + "Ġca ul", + "Ġa ft", + "ĠCad illac", + "gh a", + "ass ian", + "ud eb", + "ĠT ick", + "Ġadjust s", + "AR GET", + "5 37", + "isc he", + "ant y", + "ĠFried rich", + "ĠBl izz", + "ĠA OL", + "Camp aign", + "Ġmamm al", + "ĠVe il", + "ĠK ev", + "ĠMaur it", + "ĠDam ien", + "N ation", + "E astern", + "Ġ{ :", + "Ġ= ================================", + "Ġstereotyp ical", + "Ġatt ic", + "ĠCy borg", + "requ ire", + "Ġaward ing", + "ĠPap ua", + "bt n", + "b ent", + "B oo", + "Ġ( =", + "ĠX ander", + "ĠSomers et", + "Ġcatch y", + "Ġcert ify", + "STR UCT", + "Ġit al", + "Ġt ides", + "ĠBr ands", + "G ray", + "comp etitive", + "Ġcur ator", + "ĠD G", + "omin ium", + "ĠGM Os", + "ci ating", + "ĠCarm en", + "ow ard", + "Balt imore", + "Ġr gb", + "C u", + "Ġwip es", + "spe ll", + "IT NESS", + "Ġsummar izes", + "ĠRe vis", + "Ġwhistlebl owers", + "ĠBre ach", + "Ġcro chet", + "k os", + "ews ki", + "Ġrep et", + "Ġcrim son", + "ĠKar achi", + "read able", + "dim ension", + "ĠI gor", + "ild ed", + "ĠZ ed", + "ĠKe ane", + "ĠCos metic", + "DE P", + "Ġretreat ing", + "ĠU A", + "ens ical", + "Ġd usk", + "ĠDick ens", + "Ġaren as", + "ĠPass age", + "level s", + "Ġcur v", + "P ope", + "Ġch ores", + "ĠEl ise", + "ĠComp ass", + "b ub", + "Ġmamm alian", + "ĠSans krit", + "ĠAN C", + "ĠCr ack", + "Q ual", + "L aun", + "amp unk", + "Ġlearn ers", + "Ġglam orous", + "Ġfur the", + "erm ott", + "c and", + "Gener ic", + "Ġnarr ated", + "Ġdisorder ly", + "ĠTrans actions", + "ĠDet ention", + "ĠR oku", + "Ä į", + "Ġunder statement", + "ĠS aur", + "ĠRodrig o", + "ĠAS AP", + "S in", + "Ġre joice", + "Method s", + "Ġelectro de", + "Ġworsh ipped", + "Ġid i", + "ĠPhys icians", + "Ġpop up", + "Ġde ft", + "ĠRem oval", + "ĠBu enos", + "ver bs", + "Ġfun k", + "ush a", + "rict ion", + "ore a", + "ĠBang alore", + "ĠKen obi", + "zz i", + "Ġnorm ative", + "Ġgobl ins", + "Ġcaf es", + "ĠUN CLASSIFIED", + "ĠF ired", + "S IGN", + "Ġs clerosis", + "ĠV oter", + "ĠSon ny", + "ĠExt end", + "ĠEV s", + "Ar senal", + "Ġp si", + "Ġwid est", + "ĠT us", + "Ġlo oms", + "Ġjust ifying", + "ĠGr anger", + "è ¯", + "Ref er", + "58 3", + "Ġflour ishing", + "ab re", + "Ġr ave", + "ĠCont ra", + "Ġ18 98", + "Add s", + "Ġf ul", + "ĠCo oke", + "some one", + "= #", + "67 1", + "Ġy ak", + "Ġar te", + "ĠMis cellaneous", + "ĠDet ection", + "ĠCl ancy", + "â ģ", + "ass ies", + "Ġval iant", + "ĠFemin ist", + "cor ruption", + "V el", + "P ear", + "Ġsucc inct", + "Ġquick est", + "k w", + "Ġsp itting", + "ĠL ibraries", + "åħ ī", + "ant z", + "D ad", + "ĠSpec ifications", + "rup ulous", + "and r", + "RES ULTS", + "Ġsnow ball", + "Ġpred is", + "ĠB axter", + "ĠNurs ing", + "ĠCh aff", + "s we", + "Ġout age", + "Ġnest ing", + "Ġnotor iety", + "tr igger", + "on ite", + "j on", + "Ġf ou", + "ook ed", + "ĠCelebr ity", + "re ality", + "Ġfat ig", + "Ġhug ging", + "Ġbother s", + "ĠPan zer", + "ĠCh andra", + "fig ured", + "Ġvol ts", + "ĠCloud s", + "Ġfee ble", + "ĠCur ve", + "ĠAs us", + "78 6", + "abs or", + "ĠV ICE", + "ĠH ess", + "Ġmanufact ures", + "Ġgri zz", + "ĠPower ful", + "ac id", + "Ġsub sections", + "ĠKrug man", + "ĠAl ps", + "is u", + "Ġsequ est", + "ĠUlt ron", + "ĠT inker", + "ĠGo ose", + "Ġmism atch", + "Att orney", + "Ġmorph ology", + "ĠSix ers", + "ut tered", + "ĠE LECT", + "gr an", + "Rus sell", + "ĠG SL", + "Ġfort night", + "Ġ. )", + "Ġapost le", + "pr one", + "el ist", + "Unt itled", + "ĠIm plementation", + "ist ors", + "Ġtank er", + "Ġpl ush", + "Ġattend ants", + "ĠT ik", + "ĠGreen wich", + "ĠY on", + "ĠSP L", + "cell s", + "unt led", + "S olution", + "ĠQu é", + "Ġvac ated", + "Ġupt ick", + "ĠMer idian", + "æ ĥ", + "ĠDr ill", + "9 25", + "58 4", + "Ġrenov ated", + "ĠKub rick", + "zy k", + "Ġl ousy", + "pp el", + "ohyd rate", + "ĠI zzy", + "lesi astical", + "CC C", + "ĠAj ax", + "Ġad apters", + "ĠPetra eus", + "Ġaffirm ation", + "ĠST OR", + "le ms", + "ad oes", + "ĠConstantin ople", + "Ġp onies", + "Ġl ighthouse", + "Ġadherent s", + "ĠBre es", + "omorph ic", + "Fight ing", + "Ġpl aster", + "ĠP VC", + "ĠOb st", + "Ġdear ly", + "ĠTo oth", + "icks on", + "Ġsh aming", + "P lex", + "A gg", + "ĠâĢ¦ \"", + "Ġsub reddits", + "Ġpige on", + "ĠResident ial", + "ĠPass ing", + "Ġl um", + "ĠP ension", + "Ġpessim istic", + "Ġ4 32", + "z inski", + "c ade", + "0 75", + "Ġapolog ised", + "iy ah", + "Put ting", + "Ġgloom y", + "ĠLy me", + "=-=-=-=- =-=-=-=-", + "ĠT ome", + "ĠPsych iatric", + "ĠH IT", + "c ms", + "ap olog", + "Ġbreak er", + "Ġdeep en", + "Ġtheor ist", + "ĠHigh lands", + "Ġb aker", + "Ġst aples", + "Ġinterf ered", + "ĠAb ortion", + "jo ined", + "ch u", + "Ġform ulate", + "Ġvacc inations", + "Ġban ter", + "phe us", + "Ġoutfield er", + "ĠM eter", + "Ġ# ####", + "Ġ18 95", + "Ġnarrow ing", + "ĠST ORY", + "f p", + "ĠC ST", + "ign ore", + "Ġproclaim ing", + "ĠR U", + "ĠB ALL", + "yn a", + "65 3", + "Ġpos it", + "P RE", + "59 4", + "ĠRegist rar", + "ĠPil grim", + "ic io", + "Ġpre tt", + "Ġlif eless", + "Ġ__ _", + "Ne igh", + "ĠCh urches", + "orn o", + "Ġor cs", + "Ġkind red", + "ĠAud it", + "Ġmillenn ial", + "ĠPers ia", + "g ravity", + "ĠDis ability", + "ĠD ARK", + "W s", + "od on", + "Ġgrand daughter", + "ĠBro oke", + "ĠA DA", + "ER A", + "Ġpick ups", + "ĠWil kinson", + "ĠSh ards", + "ĠN K", + "Ġexp el", + "ĠKis lyak", + "Ġj argon", + "Ġpolar ized", + "ian e", + "Pub lisher", + "Ġreb utt", + "Ġapprehens ion", + "ĠK essler", + "Ġpr ism", + "F UL", + "19 64", + "ĠL oll", + "ä ¿", + "le thal", + "Å Ł", + "Ġg hetto", + "Ġb oulder", + "ĠSlow ly", + "ĠOsc ars", + "ĠInst ruction", + "ĠUl tr", + "ĠM oe", + "N ich", + "ĠP ATH", + "( *", + "ĠRE LEASE", + "un ing", + "rou se", + "en eg", + "Ġre imb", + "ĠDet ected", + "Do S", + "Ġster ling", + "Ġaggreg ation", + "ĠLone ly", + "ĠAtt end", + "hig her", + "Ġairst rike", + "ks on", + "SE LECT", + "Ġdef lation", + "ĠHer rera", + "C ole", + "rit ch", + "Ġadvis able", + "F ax", + "Ġwork around", + "Ġp id", + "mort em", + "ers en", + "Ġtyp o", + "Ġal um", + "78 2", + "ĠJam al", + "script s", + "Ġcapt ives", + "ĠPres ence", + "ĠLie berman", + "angel o", + "Ġalcohol ism", + "ass i", + "Ġrec ite", + "Ġgap ing", + "Ġbask ets", + "ĠG ou", + "Brow ser", + "ne au", + "Ġcorrect ive", + "und a", + "sc oring", + "ĠX D", + "Ġfil ament", + "Ġdeep ening", + "ĠStain less", + "Int eger", + "Ġbu ggy", + "Ġten ancy", + "ĠMub arak", + "Ġt uple", + "ĠD roid", + "ĠS itting", + "Ġforfe it", + "ĠRasm ussen", + "ixt ies", + "es i", + "ĠKim mel", + "Ġmetic ulously", + "Ġap opt", + "ĠS eller", + "08 8", + "ec ake", + "hem atically", + "T N", + "Ġmind less", + "Ġdig s", + "ĠAcc ord", + "ons ense", + "em ing", + "br ace", + "Ġe Book", + "ĠDist ribut", + "ĠInvest ments", + "w t", + "] ),", + "beh avior", + "56 3", + "Ġbl inding", + "ĠPro testers", + "top ia", + "Ġreb orn", + "ĠKel vin", + "ĠDo ver", + "ĠD airy", + "ĠOut s", + "Ġ[ /", + "Ï Ģ", + "b p", + "ĠVan ity", + "ĠRec ap", + "ĠHOU SE", + "ĠF ACE", + "Ġ4 22", + "69 2", + "ĠAnt ioch", + "cook ed", + "Ġcoll ide", + "Ġa pr", + "Ġsle eper", + "ĠJar vis", + "Ġalternative ly", + "ĠLe aves", + "ĠM aw", + "Ġantiqu ity", + "ĠAdin ida", + "Ġab user", + "Poké mon", + "Ġass orted", + "ĠRev ision", + "ĠP iano", + "ĠG ideon", + "O cean", + "Ġsal on", + "Ġbust ling", + "ogn itive", + "ĠRah man", + "Ġwa iter", + "Ġpres ets", + "ĠO sh", + "ĠG HC", + "oper ator", + "Ġrept iles", + "Ġ4 13", + "ĠG arr", + "ĠCh ak", + "Ġhas hes", + "Ġfail ings", + "Ġfolk lore", + "Ġab l", + "ĠC ena", + "ĠMac Arthur", + "ĠCOUR T", + "Ġperipher y", + "app ers", + "Ġreck oned", + "ĠInf lu", + "ĠC ET", + "Ġ3 72", + "ĠDefin itive", + "ass ault", + "4 21", + "Ġreservoir s", + "Ġd ives", + "ĠCo il", + "DA Q", + "Ġvivid ly", + "ĠR J", + "ĠBel lev", + "Ġec lectic", + "ĠShow down", + "ĠK M", + "ip ed", + "reet ings", + "ĠAs uka", + "L iberal", + "ĠÏ Ħ", + "Ġbystand ers", + "ĠGood win", + "uk ong", + "S it", + "ĠT rem", + "Ġcrim inally", + "ĠCirc us", + "ch rome", + "88 7", + "Ġnan op", + "ĠOb i", + "ĠL OW", + "o gh", + "ĠAuth ors", + "ob yl", + "Ur ban", + "Ġt i", + "ĠWe ir", + "t rap", + "ag y", + "Ġparent heses", + "Ġout numbered", + "Ġcounter productive", + "ĠTob ias", + "ub is", + "P arser", + "ST AR", + "Ġsyn aptic", + "ĠG ears", + "Ġh iber", + "Ġdebunk ed", + "Ġex alted", + "aw atts", + "H OU", + "Ch urch", + "ĠPix ie", + "ĠU ri", + "ĠForm ation", + "ĠPred iction", + "C EO", + "Ġthro tt", + "ĠBrit ann", + "ĠMad agascar", + "ë ĭ", + "Ġbill boards", + "ĠRPG s", + "ĠBe es", + "complete ly", + "F IL", + "Ġdoes nt", + "ĠGreen berg", + "re ys", + "Ġsl ing", + "Ġempt ied", + "ĠPix ar", + "ĠDh arma", + "l uck", + "ingu ished", + "Ġend ot", + "Ġbab ys", + "05 9", + "che st", + "r ats", + "Ġr idden", + "Ġbeet les", + "Ġillum inating", + "Ġfict itious", + "ĠProv incial", + "Ġ7 68", + "Ġshe pherd", + "ĠR ender", + "Ġ18 96", + "C rew", + "Ġmold ed", + "ĠXia omi", + "ĠSp iral", + "Ġdel im", + "Ġorgan ising", + "Ġho ops", + "ĠBe i", + "z hen", + "Ġfuck in", + "Ġdec ad", + "Ġun biased", + "am my", + "sw ing", + "Ġsmugg led", + "Ġk ios", + "ĠP ERSON", + "ĠInquis itor", + "Ġsnow y", + "Ġscrap ing", + "ĠBurg ess", + "P tr", + "ag ame", + "R W", + "Ġdro id", + "ĠL ys", + "ĠCass andra", + "Jac ob", + "Ġ35 4", + "Ġpast ure", + "Ġfr anc", + "ĠScot ch", + "ĠEnd s", + "ĠI GF", + "def inition", + "Ġhyster ical", + "ĠBrown e", + "77 1", + "Ġmobil ization", + "æ ķ", + "iqu eness", + "Th or", + "Ġspear headed", + "Ġembro iled", + "Ġconject ure", + "jud icial", + "Ch oice", + "Ġpaper back", + "P ir", + "Ġrec overs", + "ĠSur ge", + "ĠSh ogun", + "ĠPed iatrics", + "ãģ ł", + "Ġsweep s", + "ĠLabor atories", + "ĠP acks", + "al us", + "add in", + "Ġhead lights", + "g ra", + "Ev idence", + "COL OR", + "Ad min", + "Ĭ ±", + "Ġconco ct", + "s ufficient", + "Ġun marked", + "Ġrich ness", + "Ġdiss ertation", + "Ġseason ing", + "Ġg ib", + "ĠM ages", + "un ctions", + "ĠN id", + "che at", + "ĠTM Z", + "c itizens", + "ĠCatholic ism", + "n b", + "Ġdisemb ark", + "ĠPROG RAM", + "a ques", + "Ty ler", + "Or g", + "ĠSl ay", + "ĠN ero", + "ĠTown send", + "IN TON", + "te le", + "Ġmes mer", + "9 01", + "Ġfire ball", + "ev idence", + "aff iliated", + "ĠFrench man", + "ĠAugust a", + "0 21", + "Ġs led", + "Ġre used", + "ĠImmun ity", + "Ġwrest le", + "assemb led", + "Mar ia", + "Ġgun shots", + "ĠBarb ie", + "Ġcannabin oids", + "ĠTo ast", + "ĠK inder", + "IR D", + "Ġre juven", + "Ġg ore", + "Ġrupt ure", + "Ġbre aching", + "ĠCart oon", + "Ġ4 55", + "ĠPale o", + "6 14", + "Ġspe ars", + "ĠAm es", + "ab us", + "Mad ison", + "GR OUP", + "Ġab orted", + "y ah", + "Ġfel on", + "Ġcaus ation", + "Ġprep aid", + "Ġp itted", + "op lan", + "ĠShel ley", + "ĠRus so", + "ĠP agan", + "Ġwill fully", + "ĠCan aver", + "und rum", + "ĠSal ary", + "ĠAr paio", + "read er", + "ĠR ational", + "ĠOver se", + "ĠCa uses", + "Ġ* .", + "Ġw ob", + "Ke ith", + "ĠCons ent", + "man ac", + "77 3", + "6 23", + "Ġfate ful", + "et imes", + "Ġspir ited", + "ĠD ys", + "Ġhe gemony", + "Ġboy cot", + "ĠEn rique", + "em outh", + "Ġtim elines", + "ĠSah ara", + "ĠRel ax", + "ĠQuin cy", + "ĠLess ons", + "ĠE QU", + "SE A", + "N K", + "ĠCost co", + "Incre ase", + "Ġmotiv ating", + "ĠCh ong", + "am aru", + "ĠDiv ide", + "Ġped igree", + "ĠTasman ia", + "ĠPrel ude", + "L as", + "9 40", + "57 4", + "Ġch au", + "ĠSp iegel", + "un ic", + "-- >", + "ĠPhil ips", + "ĠKaf ka", + "Ġuphe aval", + "Ġsent imental", + "Ġsa x", + "ĠAk ira", + "ser ial", + "Mat rix", + "Ġelect ing", + "Ġcomment er", + "ĠNeb ula", + "ple ts", + "ĠNad u", + "ĠAd ren", + "Ġen shr", + "ĠR AND", + "fin ancial", + "ĠCly de", + "uther ford", + "Ġsign age", + "Ġde line", + "Ġphosph ate", + "rovers ial", + "f ascist", + "ĠV all", + "ĠBeth lehem", + "Ġfor s", + "Ġeng lish", + "S olid", + "N ature", + "Ġv a", + "ĠGu ests", + "Ġtant al", + "Ġauto immune", + ";;;;;;;; ;;;;", + "ĠTot ally", + "ĠO v", + "Ġdef ences", + "ĠCoc onut", + "Ġtranqu il", + "Ġpl oy", + "Ġflav ours", + "ĠFl ask", + "ãĤ¨ ãĥ«", + "ĠWest on", + "ĠVol vo", + "8 70", + "Ġmicro phones", + "ver bal", + "R PG", + "Ġi ii", + "; }", + "0 28", + "Ġhead lined", + "Ġprim ed", + "Ġho ard", + "ĠSh ad", + "ĠEN TER", + "Ġtri angular", + "Ġcap it", + "l ik", + "ĠAn cients", + "Ġl ash", + "Ġconv ol", + "Ġcolon el", + "en emy", + "G ra", + "Ġpub s", + "ut ters", + "Ġassign s", + "ĠPen et", + "ĠMon strous", + "ĠBow en", + "il ver", + "H aunted", + "ĠD ing", + "start ed", + "pl in", + "Ġcontamin ants", + "ĠDO E", + "ff en", + "ĠTechn ician", + "R y", + "Ġrob bers", + "Ġhot line", + "ĠGuard iola", + "ĠKau fman", + "row er", + "ĠDres den", + "ĠAl pine", + "E lf", + "Ġf mt", + "ĠS ard", + "urs es", + "g pu", + "Un ix", + "Ġunequiv ocally", + "ĠCitizens hip", + "qu ad", + "m ire", + "ĠS weeney", + "B attery", + "6 15", + "Ġpanc akes", + "Ġo ats", + "M aps", + "ĠCont rast", + "mbuds man", + "ĠE PS", + "Ġsub committee", + "Ġsour cing", + "Ġs izing", + "ĠBuff er", + "ĠMand atory", + "Ġmoder ates", + "ĠPattern s", + "ĠCh ocobo", + "ĠZ an", + "ĠSTAT ES", + "ĠJud ging", + "ĠIn her", + "* :", + "Ġb il", + "ĠY en", + "Ġexh ilar", + "oll ower", + "z ers", + "Ġsn ug", + "max imum", + "Ġdesp icable", + "ĠP ACK", + "ĠAn nex", + "Ġsarcast ic", + "Ġlate x", + "Ġt amp", + "ĠS ao", + "b ah", + "ĠRe verend", + "ĠChin atown", + "ĠA UT", + "d ocumented", + "ĠGA BA", + "ĠCan aan", + "ĠÙ ħ", + "Ġgovern s", + "pre v", + "E sc", + "ĠEst imates", + "OS P", + "Ġendeav our", + "ĠCl osing", + "omet ime", + "every one", + "Ġwor sen", + "Ġsc anners", + "Ġdev iations", + "ĠRobot ics", + "ĠCom pton", + "Ġsorce rer", + "Ġend ogenous", + "Ġem ulation", + "ĠPier cing", + "ĠA ph", + "ĠS ocket", + "Ġb ould", + "ĠO U", + "ĠBorder lands", + "Ġ18 63", + "G ordon", + "ĠW TO", + "Ġrestrict s", + "Ġmosa ic", + "Ġmel odies", + "ç Ħ", + "T ar", + "Ġdis son", + "ĠProv ides", + "Ġ ......", + "b ek", + "F IX", + "Ġbro om", + "ans hip", + "Do ctors", + "Ġner ds", + "ĠReg ions", + "na issance", + "Ġmet e", + "Ġcre pt", + "pl ings", + "Ġgirlfriend s", + "kn it", + "ig ent", + "ow e", + "Ġus hered", + "ĠB az", + "M obil", + "4 34", + "ĠPres ents", + "orig in", + "Ġins omnia", + "ĠA ux", + "4 39", + "ĠCh ili", + "irs ch", + "G AME", + "Ġgest ation", + "alg ia", + "rom ising", + "$ ,", + "c row", + "ĠIn spection", + "at omic", + "Rel ations", + "J OHN", + "rom an", + "ĠClock work", + "ĠBak r", + "m one", + "M ET", + "Ġthirst y", + "Ġb c", + "Ġfacult ies", + "R um", + "Ġnu ance", + "ĠD arius", + "ple ting", + "fter s", + "etch up", + "Reg istration", + "ĠK E", + "R ah", + "Ġpref erential", + "ĠL ash", + "ĠH H", + "Val id", + "ĠN AV", + "Ġstar ve", + "ĠG ong", + "z ynski", + "ĠAct ress", + "Ġw ik", + "Ġun accompanied", + "lv l", + "Br ide", + "AD S", + "ĠCommand o", + "ĠVaugh n", + "Wal let", + "Ġho pping", + "ĠV ie", + "Ġcave ats", + "Ġal as", + "if led", + "ab use", + "66 1", + "Ġib n", + "Ġg ul", + "Ġrob bing", + "t il", + "IL A", + "Ġmit igating", + "Ġapt ly", + "Ġty rant", + "Ġmid day", + "ĠGil more", + "ĠDe cker", + "Ġ§ §", + "part ial", + "Ex actly", + "Ġphen otype", + "Ġ[+ ]", + "ĠP lex", + "ĠI ps", + "vers ions", + "Ġe book", + "Ġch ic", + "g ross", + "\":\" \"},{\"", + "ĠSur prisingly", + "M organ", + "Ġresid ues", + "ĠConf ederation", + "in feld", + "Ġl yr", + "mod erate", + "Ġperpend icular", + "V K", + "Ġsynchron ized", + "Ġrefres hed", + "Ġad ore", + "ĠTor ment", + "ol ina", + "Ġ26 00", + "Item Tracker", + "Ġp ies", + "ĠF AT", + "ĠR HP", + "0 48", + "ĠRES P", + "ĠB J", + "all ows", + "P and", + "Ġunw elcome", + "ĠV oc", + "ĠBast ard", + "ĠO W", + "ĠL AR", + "ĠHeal er", + "Environment al", + "ĠKen yan", + "ĠTr ance", + "ĠP ats", + "Ġali ases", + "ĠGar field", + "Ġcampaign er", + "Ġadvance ments", + "ĠOkin awa", + "ĠC oh", + "ows ky", + "Ġstar ved", + "Ġsize able", + "Ġ: -)", + "Ġm RNA", + "Ġsusp ensions", + "ist ar", + "Scot land", + "Pr in", + "-------------------------------- ----------------", + "Ġ50 2", + "Ġteasp oons", + "Ġ10 50", + "Ġcoerc ive", + "ĠMason ic", + "edd ed", + "ĠPass enger", + "Ġl att", + "Ġbr aces", + "ĠSt eal", + "ĠNY T", + "ĠK ats", + "ĠCel est", + "ae z", + "T u", + "ĠCoul ter", + "ðŁ ĺ", + "Fl ickr", + "ĠWil mington", + "ith s", + "++ ;", + "Ġv ending", + "Ġneg ro", + "ĠPh i", + "ĠYellow stone", + "Call back", + "Ġsh ampoo", + "ĠSh ades", + "w at", + "Ġsuper human", + "Ġridic uled", + "Ġhol iest", + "om bo", + "Ġintern s", + "Ġh one", + "ĠPar agu", + "UR I", + "Ġd angling", + "ãĤ »", + "so v", + "ict ional", + "av ailability", + "Ġrev ocation", + "Ġd ow", + "in ic", + "ĠTHE IR", + "Ġis o", + "Ġout ings", + "ĠLeth al", + "Ġ) ))", + "Ġinacc ur", + "Ġout landish", + "Ġan us", + "let ico", + "id on", + "l ol", + "Ġun regulated", + "Ġsuccumb ed", + "Ġc uff", + "ĠWast eland", + "let al", + "Ġsub str", + "Ġcoff ers", + "Ġautom akers", + "ov i", + "ĠX ue", + "ĠDayton a", + "Ġjar ring", + "Ġf umes", + "Ġdisband ed", + "z ik", + "itt on", + "Ġstriking ly", + "Ġsp ores", + "Ad apter", + ".) :", + "ĠLynd on", + "ival ry", + "Ġor ally", + "Ġtumult uous", + "Ġdisple asure", + "Ġcon es", + "or rect", + "Ġappe ase", + "Ġder by", + "ĠTrip oli", + "ĠAl ess", + "Ġp oked", + "ĠGu ilty", + "v P", + "En ough", + "Ġorig inals", + "6 99", + "Ġrabb i", + "Ġproverb ial", + "Ġpostp one", + "el ope", + "ĠMist y", + "Ġstaff ed", + "ĠUn employment", + "redit ary", + "Ġdilig ent", + "re comm", + "me asures", + "as in", + "8 25", + "Ġpond s", + "Ġmm ol", + "ĠS AR", + "ĠC ARE", + "Ġ3 71", + "Ġclen ched", + "ĠCors air", + "Ġcaric ature", + "z n", + "att ach", + "ĠSch ro", + "spe ak", + "p ainted", + "ĠS uc", + "ĠE NT", + "Ġcell ul", + "ĠP aid", + "di agn", + "WH ERE", + "Ġtext ed", + "B arn", + "Ġret racted", + "ĠRe ferred", + "S av", + "Ġup keep", + "Ġwork places", + "ĠTok ens", + "Ġampl ify", + "cl inical", + "Ġmult ic", + "mber g", + "Ġconvol uted", + "Reg ion", + "5 65", + "ĠTop ic", + "Ġsn ail", + "Ġsal ine", + "Ġins urrection", + "ĠPet r", + "f orts", + "B AT", + "ĠNav ajo", + "Ġrud imentary", + "ĠLak sh", + "OND ON", + "Me asure", + "Ġtransform er", + "ĠGodd ard", + "Ġcoinc ides", + "ir in", + "R ex", + "ĠB ok", + "qu it", + "Ġshotgun s", + "Ġprolet arian", + "Ġsc orp", + "ĠAd a", + "5 14", + "Ġsl ander", + "record ed", + "Ġemb ell", + "ris ome", + "Ġapolog izing", + "ĠMul cair", + "ĠGib raltar", + "Cl a", + "Ġall ot", + "ĠAtt ention", + "Ġ4 33", + "le ave", + "Ġwh ine", + "ĠIss a", + "ĠFa ust", + "ĠBar ron", + "hen y", + "Ġvictim ized", + "J ews", + "Ġnurt uring", + "ett el", + "W inged", + "ĠSub tle", + "Ġflavor ful", + "ĠRep s", + "eng ed", + "call back", + "Ġdirection al", + "Ġcl asp", + "ĠDirect ions", + "plan et", + "icult ure", + "Hel per", + "ic ion", + "ac ia", + "Ġç ¥ŀ", + "Ġsur ges", + "Ġcan oe", + "ĠPrem iership", + "be en", + "Ġdef ied", + "ĠTro oper", + "Ġtrip od", + "Ġgas p", + "ĠE uph", + "ĠAd s", + "vern ight", + "high ly", + "R ole", + "Ġent angled", + "ĠZe it", + "6 18", + "ĠRust y", + "Ġhaven s", + "ĠVaugh an", + "HA EL", + "ĠSER VICE", + "/ ,", + "Ġstr icken", + "Ġdel usions", + "Ġb is", + "ĠH af", + "Ġgrat ification", + "Ġent icing", + "UN CH", + "Ad ams", + "ĠOL ED", + "ĠBeet le", + "Ġ18 99", + "ĠSO FTWARE", + "ateg or", + "V L", + "ĠTot em", + "ĠG ators", + "AT URES", + "Ġimped ance", + "Reg istered", + "ĠC ary", + "ĠAer ial", + "on ne", + "en ium", + "Ġd red", + "ĠBe g", + "Ġconcurrent ly", + "Ġsuper power", + "ĠX an", + "j ew", + "imes ter", + "ĠDick inson", + "âĶ ģ", + "F la", + "Ġp ree", + "ĠRoll ins", + "© ¶æ", + "Ġden omination", + "ĠL ana", + "5 16", + "Ġinc iting", + "sc ribed", + "j uries", + "ĠWond ers", + "app roximately", + "Ġsusp ending", + "Ġmountain ous", + "ĠL augh", + "oid al", + "N s", + "Det ect", + ") =", + "ĠL uthor", + "ĠSchwarz enegger", + "ĠMull er", + "ĠDev i", + "ec ycle", + "J ar", + "6 13", + "ĠL ongh", + "B ah", + "ĠSP ORTS", + "n w", + "Ġref inement", + "Ġwater ways", + "Ġd iner", + "Bl ade", + "68 3", + "F ac", + "Ġinitial s", + "Ġro g", + "Ġparan ormal", + "B UT", + "Ġ[ (", + "ĠSw anson", + "ĠM esh", + "âĸ ¬", + "Impro ve", + "ĠRad iation", + "ĠEst her", + "ĠE sk", + "ĠA ly", + "ik y", + "Ġir rad", + "ĠBuck ingham", + "Ġref ill", + "Ġ. _", + "Re pe", + "CON CLUS", + "Ġdifferent iated", + "Ġchi rop", + "ĠAt kins", + "Pat tern", + "Ġexc ise", + "Ġcab al", + "N SA", + "ĠST A", + "ĠS IL", + "ĠPar aly", + "Ġr ye", + "ĠHow ell", + "ĠCount down", + "ness es", + "alys ed", + "Ġres ize", + "ãĤ ½", + "Ġbudget ary", + "ĠStr as", + "w ang", + "Ġap iece", + "Ġprecinct s", + "Ġpe ach", + "Ġsky line", + "Ġ35 3", + "pop ular", + "App earances", + "ĠMechan ics", + "ĠDev Online", + "S ullivan", + "Z en", + "Ġp u", + "op olis", + "5 44", + "Ġde form", + "Ġcounter act", + "ĠL ange", + "Ġ4 17", + "Con sole", + "77 4", + "Ġnodd ing", + "Ġpopul ism", + "Ġhe p", + "Ġcoun selling", + "compl iance", + "U FF", + "Ġunden iably", + "Ġrail ing", + "ĠHor owitz", + "ĠSim one", + "ĠBung ie", + "Ġa k", + "ĠTal ks", + "x ff", + "fl ake", + "Cr ash", + "Ġsweat y", + "Ġban quet", + "ĠOFF IC", + "Ġinvent ive", + "Ġastron omer", + "ĠStam ford", + "ĠSc are", + "ĠGRE EN", + "olic ited", + "Ġr usher", + "Ġcent rist", + "ight ing", + "Ġsub class", + "Ġdis av", + "Ġdef und", + "ĠN anto", + "oci ate", + "m ast", + "Ġpac if", + "Ġm end", + "e ers", + "imm igration", + "ESS ION", + "Ġnumber ing", + "Ġlaugh able", + "ĠEnd ed", + "v iation", + "em ark", + "P itt", + "Ġmetic ulous", + "ĠL F", + "Ġcongrat ulated", + "ĠBir ch", + "Ġsway ed", + "Ġsemif inals", + "Ġhum ankind", + "m atter", + "ĠEqu ip", + "opa usal", + "S aid", + "ĠLay out", + "Ġvo icing", + "Ġth ug", + "Ġporn ographic", + "I PS", + "Ġmo aning", + "Ġgriev ance", + "Ġconf essions", + "esc al", + "TEXT URE", + "Aut hent", + "os aurus", + "P urchase", + "Ġreleg ation", + "al ter", + "ĠÂł Âł", + "Ġr iddled", + "Ġo gre", + "ĠLow ell", + "Occ up", + "E at", + "ĠHy der", + "ĠAdvis er", + "Com merce", + "H unt", + "ĠOr th", + "ĠComp etitive", + "ĠCL A", + "CD C", + "Ġsal ads", + "F le", + "Ġindustrial ized", + "` ,", + "ĠO WN", + "Ġbec k", + "ĠPart icularly", + "oub t", + "Ġm M", + "ĠHuss ain", + "ĠChen nai", + "Ġ9 20", + "Ġappoint ing", + "ĠCull en", + ",,,, ,,,,", + "Ġp ores", + "ver ified", + "Ġbi ochemical", + "em ate", + "Ġcoward ly", + "ĠHels inki", + "ĠEthiop ian", + "S OURCE", + "ER C", + "est ro", + "Ġbi otech", + "ĠS our", + "Ġbrew er", + "Bloom berg", + "Ġintens ify", + "Gl ass", + "an co", + "ĠF DR", + "gre SQL", + "ĠF ires", + "©¶æ ¥µ", + "ec o", + "100 1", + "ĠHom eless", + "Ġinstant aneous", + "ĠH aste", + "ig el", + "D iamond", + "Ġp aving", + "Ġland fill", + "Ġd ads", + "h oun", + ": ]", + "Ġinc endiary", + "ĠLiving ston", + "ĠHil bert", + "ĠChe cks", + "st yles", + "in ators", + "ĠCl ive", + "ph rine", + "Ġchimpan zees", + "Ġp all", + "ĠJ M", + "ĠAad haar", + "ð Ŀ", + "Ġachie vable", + "dis abled", + "P ET", + "OOOO OOOO", + "M ot", + "Ġint angible", + "Ġbal let", + "ĠWe bs", + "ĠEst imated", + "Effect s", + "Ġb ailed", + "Josh ua", + "Ġturb ulence", + "Ġoccup ant", + "ĠDay light", + "Ġ36 1", + "me et", + "Ġstat ically", + "Ġon look", + "Ġk i", + "il legal", + "Ġvel vet", + "Ġdehyd ration", + "Ġacqu ies", + "ĠRe z", + "ak ura", + "ĠU pton", + "at ro", + "Ġincomp rehensible", + "Ġback door", + "ĠRh ino", + "7 27", + "Ġmath s", + ") +", + "Ġhe resy", + "Ġd f", + "ĠRoc he", + "ĠL ydia", + "Ġpanc reat", + "re ply", + "arre ll", + "Ġsolicit ation", + "Ġcirc adian", + "BI P", + "Ġfor ay", + "Ġcrypt ic", + "iz u", + "ime o", + "ĠTom ato", + "ĠH oms", + "ex amination", + "Ġqu arry", + "ĠVal iant", + "ĠJer icho", + "ĠIN CLUD", + "Ġ18 40", + "5 19", + "Ġres ists", + "Ġsnap shots", + "ĠSp ur", + "ĠAnt iqu", + "Log in", + "Ġbest selling", + "Ġant ic", + "ĠS utherland", + "ãĤ¢ ãĥ«", + "Ġ~ /", + "ĠP arm", + "è ĥ", + "P ages", + "int ensity", + "Ġimm obil", + "Ġ18 65", + "zz o", + "Ġn ifty", + "Ġf entanyl", + "ĠPres ervation", + "op hen", + "Ġd arts", + "ĠD inosaur", + "po inters", + "ĠR ite", + "s uggest", + "aware ness", + "ĠSher idan", + "Ġst ances", + "Ġsor cery", + "Ġper jury", + "ĠNik ola", + "ie ver", + "Ġf iance", + "ĠJordan ian", + "ĠBall oon", + "Ġn ab", + "Ġk b", + "Ġhuman ities", + "ĠTan aka", + "hill ary", + "Ġconsult ancy", + "ĠZ ub", + "Ġrem ission", + "Ġconf id", + "CH Q", + "ĠF ug", + "Ġimpro vis", + "Y ep", + "/ _", + "Ġunwilling ness", + "Ġport folios", + "05 5", + "ĠInstruct or", + "aim an", + "Ġclaim ants", + "M bps", + "ĠBy e", + "re ceived", + "T weet", + "Ġind emn", + "ri z", + "am ara", + "N at", + "Ġeval uates", + "ĠL ur", + "ep ad", + "FO X", + "ĠTh ro", + "Ġrust y", + "Ġbed rock", + "ĠOp rah", + "J B", + "Ġmanip ulative", + "Ġwill ful", + "Ġrel apse", + "Ġext ant", + "The me", + "S ensor", + "ĠSt ability", + "go vern", + "Ġpo ppy", + "Ġkn ack", + "Ġins ulated", + "ĠT ile", + "ĠExt rem", + "Ġunt old", + "Ġconver ge", + "Ġref uel", + "ig roup", + "Ġdistort ions", + "Ġrav aged", + "Ġmechan ically", + "ĠRe illy", + "ĠN ose", + "ĠIncarn ation", + "ĠBeck y", + "abb ling", + "Ġt aco", + "Ġr ake", + "Ġmelanch oly", + "Ġillust rious", + "ĠDart mouth", + "Gu ide", + "ĠR azer", + "ĠBen z", + "Ult imate", + "ĠSur prise", + "Ġpage ant", + "off er", + "Who ever", + "Ġw iser", + "Ġchem ist", + "ĠHE LL", + "ĠBul k", + "Ġpl utonium", + "ĠCO VER", + "Ö ¼", + "f ailed", + "Ġtire lessly", + "Ġinf ertility", + "ĠTr ident", + "ĠShow time", + "ĠC iv", + "V ice", + "requ ires", + "itt ance", + "Ġun controlled", + "interest ing", + "56 1", + "Ġinnov ate", + "ateg ic", + "L ie", + "ĠS elling", + "U l", + "Ġsav ior", + "ĠT osh", + "Ġsw ast", + "P ASS", + "Ġr ink", + "Ġcard io", + "ĠI ro", + "ud i", + "Ġv antage", + "Ġv ans", + "ĠNi ño", + "+ =", + "Ġpropag ate", + "< ?", + "Ġmethod ological", + "204 39", + "Ġtrig lycer", + "Ġing rained", + "ĠAn notations", + "arr anted", + "6 17", + "ĠS odium", + "ĠA AC", + "techn ical", + "mult ipl", + "Ġ3 73", + "å ĭ", + "Ġdec isively", + "Ġboost ers", + "Ġdessert s", + "ĠGren ade", + "Ġtest ifying", + "ĠSc ully", + "ID s", + "Ġlock down", + "ĠSc her", + "ĠR é", + "ĠWhit man", + "ĠRams ay", + "rem ote", + "Ġh ikers", + "ĠHy undai", + "Ġcons cientious", + "Ġcler ics", + "ĠSiber ian", + "ut i", + "is bury", + "Ġrel ayed", + "Ġqu artz", + "ĠC BI", + "seek ers", + "ull a", + "Ġweld ing", + "ĠSh al", + "ble acher", + "T ai", + "ĠSam son", + "Ġt umble", + "ĠInvest or", + "Ġsub contract", + "ĠShin ra", + "ow icz", + "j andro", + "d ad", + "Ġtermin ating", + "ĠNe ural", + "ä» £", + "Ġleak age", + "ĠMid lands", + "ĠCaucas us", + "í ķ", + "c it", + "ll an", + "iv ably", + "ĠAlb ion", + "Ġ4 57", + "Ġregist rations", + "Ġcomr ade", + "Ġclip board", + "0 47", + "Ġdiscour aging", + "ĠO ops", + "Ad apt", + "Ġem path", + "n v", + "ĠPR OT", + "ĠDon n", + "ĠP ax", + "ĠB ayer", + "t is", + "Squ are", + "Ġfoot prints", + "part icip", + "ĠChile an", + "B rend", + "ind ucing", + "M agn", + "Ġclub house", + "ĠMagn um", + "Ġenc amp", + "ĠEth nic", + "uch a", + "ere y", + "Ġw atered", + "ĠCal ais", + "Ġcomplex ion", + "Ġsect s", + "Ġren ters", + "Ġbr as", + "oÄŁ an", + "Time out", + "Man agement", + "Ġinf ographic", + "P okemon", + "Cl ar", + "Ġloc ality", + "Ġfl ora", + "as el", + "P ont", + "Ġpop ulate", + "ĠO ng", + "Ġsubs istence", + "Ġa uctions", + "ĠMcA uliffe", + "ĠL OOK", + "br inger", + "Ġtit an", + "Ġmanif old", + "ĠâĹ ı", + "Ġcalibr ated", + "Ġcal iphate", + "ĠSH E", + "ĠCommission ers", + "ce ivable", + "j c", + "W inner", + "5 24", + "Ġcond one", + "Other wise", + "Ġp iling", + "Ġem body", + "ĠCrime an", + "ut ics", + "ĠEx hibition", + "Ġ4 26", + "e ering", + "Ġv ying", + "ĠH UGE", + "* =-", + "Ġprin cipled", + "à ¦", + "Ġquir ks", + "ĠEdit ors", + "put ing", + "G ES", + "ĠF TA", + "ठ¾", + "add on", + "ĠH AM", + "ĠFrie za", + "W oman", + ". $", + "Ġc rib", + "ĠHer od", + "Ġtim ers", + "ĠSp aces", + "ĠMac intosh", + "at aka", + "Ġgl ide", + "Ġsmell ing", + "ĠB AL", + "Ġun su", + "Ġcond os", + "Ġbicy cl", + "ĠRev ival", + "55 3", + "Ġjugg ling", + "H ug", + "ĠKardash ian", + "ĠBalk ans", + "mult iple", + "Ġnutrit ious", + "oc ry", + "19 00", + "Ġinteg rates", + "Ġad joining", + "ĠF older", + "roll ment", + "ven ient", + "Ġu ber", + "y i", + "Ġwh iff", + "ĠJu ven", + "ĠB orough", + "net te", + "Ġb ilingual", + "ĠSp arks", + "ph thal", + "man ufact", + "Ġt outing", + "ĠPH I", + "Ke efe", + "Rew ard", + "Ġinf all", + "ĠTem per", + "typ ically", + "ĠNik ol", + "Ġregular s", + "Ġpseud onym", + "Ġexhib itions", + "Ġbl aster", + "Ġ40 9", + "w arming", + "Ġrever ber", + "Ġrecip rocal", + "Ġ6 70", + "ip ient", + "b ett", + "ĠBe gins", + "Ġit ching", + "ĠPh ar", + "Ass uming", + "Ġem itting", + "ĠML G", + "Ġbirth place", + "Ġt aunt", + "ĠL uffy", + "ĠAm it", + "Ġcir cled", + "ĠN ost", + "enn ett", + "Ġde forestation", + "ĠHist orically", + "ĠEvery day", + "Ġovert ake", + "79 2", + "Ġn un", + "ĠLuc ia", + "Ġaccompan ies", + "ĠSe eking", + "ĠTr ash", + "an ism", + "R ogue", + "Ġnorth western", + "ĠSupplement al", + "ĠNY U", + "ĠF RI", + "ĠSat isf", + "x es", + "5 17", + "Ġreass ured", + "Ġspor adic", + "Ġ7 01", + "Ġmed ial", + "Ġcannabin oid", + "Ġbarbar ic", + "Ġep is", + "ĠExplos ive", + "ĠD ough", + "Ġuns olved", + "Support ed", + "Ġacknowled gment", + "sp awn", + "Ġkit chens", + "Ġ- =", + "talk ing", + "ic ist", + "ĠPeg asus", + "ĠPS U", + "Ġphot on", + "ĠAuthent ication", + "R G", + "@# &", + "76 2", + "ĠCl air", + "Ġdi aper", + "Ġbr ist", + "ĠProsecut ors", + "ĠJ em", + "6 28", + "ĠEvery where", + "ĠJean ne", + "equ ality", + "ãĥ© ãĥ³", + "object s", + "ĠPel icans", + "Ġ39 2", + "Ġbl u", + "b ys", + "ĠA go", + "Ġinstruction al", + "Ġdiscrim inating", + "ĠTR AN", + "ĠCorn el", + "ag os", + "Ġty re", + "Ġas piration", + "ĠBrid gewater", + "\": -", + "! \".", + "ĠEn s", + "ĠCoc o", + "P ie", + "Ġdet ach", + "ĠC ouch", + "Ġphys ique", + "ĠOccup ations", + "osc opic", + "en ough", + "B uzz", + "App earance", + "Y P", + "Ġrac er", + "Ġcompl icity", + "r pm", + "T oy", + "Ġinterrupt s", + "ĠCat alyst", + "Ġut ilitarian", + "imp act", + "Ġsp aghetti", + "Ġp orous", + "Ġeste emed", + "Ġinc iner", + "ĠI OC", + "7 48", + "Ġesp resso", + "ĠSm ile", + "abil ia", + "6 35", + "Ġmathematic ian", + "Ġ4 24", + "ĠK L", + "ĠH IP", + "Ġover heard", + "ĠT ud", + "ĠT ec", + "Ġqu izz", + "Ġfl attering", + "Ġcon n", + "âĢ İ", + "Ġatt aches", + "ĠR OS", + "ĠAC S", + "Ġt cp", + "ĠSh ame", + "sk ip", + "res pected", + "ĠTrin idad", + "gr ain", + "Ġfooth old", + "ĠUnch arted", + "ĠJul io", + "z l", + "av ored", + "ĠAn xiety", + "er rors", + "ĠCent auri", + "its ch", + "D addy", + "Ġclutch ing", + "ĠIm plement", + "ĠGut ierrez", + "Ġ7 60", + "Ġtele portation", + "end ra", + "Ġrevers ible", + "st ros", + "Ad venture", + "08 3", + "Ġliber ating", + "Ġas phalt", + "ĠSp end", + "AR DS", + "im sy", + "PR ES", + "ĠEmer ging", + "Ġwild fires", + "Ġtechn ologically", + "Ġem its", + "ĠART ICLE", + "Ġirregular ities", + "Ġcher ish", + "çī Ī", + "Ġst ink", + "ĠR ost", + "Econom ic", + "Ġcough ing", + "ĠMcC ann", + "pro perties", + "ilant ro", + "Ġreneg oti", + "Trans lation", + "Ġin quest", + "ĠGra pe", + "oot ers", + "gu i", + "ĠSwords man", + "ace ae", + "h itting", + "Ġr c", + "Ġexert ed", + "ĠS AP", + "it ent", + "Ġperil ous", + "Ġobsc urity", + "Ġassass inate", + "Ġab original", + "Ġresc uing", + "ĠSh attered", + "lock ing", + "all ion", + "Ch anging", + "ĠHar rington", + "ĠB ord", + "ĠAfgh ans", + "Jam ie", + "aret z", + "ĠAugust us", + "Ġ38 6", + "8 30", + "Ġj og", + "ok ingly", + "Tr igger", + "ĠH OR", + "Stat istics", + "Ġviewers hip", + "Ġadd itives", + "h ur", + "Ġmaxim izing", + "ĠR ove", + "ĠLou ie", + "ĠBuck et", + "ĠCHR IST", + "ou sel", + "Ġstre aks", + "ir ted", + "Ġt ert", + "Ġcolonial ism", + "Ġbur ying", + "y k", + "Cond ition", + "ĠDPR K", + "By Id", + "75 1", + "âĹ ¼", + "Ġwor risome", + "Ġvoc ational", + "sl ice", + "Ġsa ils", + "ĠCorrection al", + "95 4", + "Ġt ul", + "K id", + "l uster", + "Ġfam ilial", + "ĠSp it", + "ĠEp iscopal", + "Specific ally", + "ĠVol cano", + "run s", + "q s", + "Ġve tted", + "Ġcram med", + "t rop", + "here r", + "Thank fully", + "Ġper cussion", + "Ġor anges", + "Ġround up", + "Ġ4 99", + "x ious", + "Char acters", + "ĠZion ism", + "ĠR ao", + "ÃĽ ÃĽ", + "W F", + "Ġunintention al", + "ONE Y", + "Gr ab", + "Com mercial", + "Ġglut amate", + "ĠMcK enna", + "ru ciating", + "ning ton", + "ih u", + "Ch an", + "ĠSw ap", + "Ġleaf lets", + "Ġfunction ally", + "er ous", + "F arm", + "Ġcal oric", + "ĠLiter ally", + "con cert", + "Ġshe nan", + "Ġrep aid", + "ey es", + "Ġbas hing", + "ĠG orge", + "Ġcollabor ations", + "Ġun account", + "itch ie", + "Ġteam work", + "pp elin", + "Ġpip ing", + "Ġmin ced", + "Ġd iam", + "ri eg", + "Ġmasc ara", + "Ġsuck er", + "ĠMo ons", + "App s", + "ĠPe ck", + "Ġper v", + "ĠFl oat", + "o ley", + "ĠN ish", + "im ize", + "Ġarom atic", + "u in", + "end ish", + "! /", + "ĠB icycle", + "ĠAS IC", + "ile ged", + "ĠQuad ro", + "ios yn", + "Ġlock out", + "ĠW ink", + "SP EC", + "Attempt s", + "Ġseed ed", + "red o", + "ias is", + "Ġsn ag", + "ãĥķ ãĤ©", + "ãĤ ¶", + "Ġground ing", + "Ġrelie ver", + "Ġfrivol ous", + "ĠG ifts", + "ĠF aces", + "Es pecially", + "Ġmicrobi ome", + "im ag", + "ĠSch l", + "ĠP les", + "ĠBle ach", + "ĠIr win", + "ĠE aton", + "ĠDisc iple", + "Ġmultipl ication", + "Ġcoer ced", + "Ġ4 19", + "st h", + "E vil", + "B omb", + "Ġex orc", + "Ġstag gered", + "L ESS", + "Ġinert ia", + "ĠED IT", + "Ġgo b", + "Tr aditional", + "Ġclass y", + "Lear y", + "ĠP AGE", + "yr s", + "Ġtrans porter", + "Ġmat ured", + "Ġhij ab", + "Ġbi ome", + "Where as", + "Ġex termination", + "ĠT ues", + "ĠT akeru", + "ĠAud rey", + "er ial", + "ĠAd en", + "aff les", + "Ġnarciss istic", + "ĠB aird", + "UT F", + "I re", + "ĠCon nie", + "Ch amp", + "Ġwhis pering", + "ĠH att", + "D K", + "Ġdis infect", + "Ġdeduct ed", + "Ġpart ake", + "Ġdown grade", + "ĠEs ports", + "ĠContin uing", + "Ġdemocr atically", + "icro bial", + "itt a", + "Ġlim estone", + "Ġexempt ed", + "ĠFren zy", + "H erm", + "7 28", + "Ġfled gling", + "Met a", + "765 61", + "69 3", + "% :", + "w ake", + "5 26", + "ĠDis cipline", + "Ġvirgin ity", + "ĠLeg ions", + "ĠFrank ie", + "int ent", + "Ġrest rooms", + "ĠRou ter", + "da q", + "Ġobjection able", + "âĨ ij", + "w ark", + "ĠRah ul", + "g ain", + "activ ation", + "abs olute", + "ĠAccess ed", + "Ġ24 00", + "ogg les", + "Ġsecond ly", + "ĠDEF ENSE", + "Ġpost age", + "wra pper", + "sh arp", + "7 29", + "Ġcommun icates", + "Ġadd on", + "ĠMil itia", + "H ong", + "Ġsl umped", + "ĠJP EG", + "ĠI car", + "ad ish", + "68 1", + "Ġmaj esty", + "ĠWolf gang", + "ĠEl astic", + "u per", + "Ġv iz", + "Ġunconscious ly", + "ĠST D", + "ĠS ass", + "Ġflower ing", + "ĠHel ic", + "ĠDra per", + "ĠAm ateur", + "Ġman ure", + "Ġdis ingen", + "ĠLe i", + "br ing", + "9 49", + "Ġinhib ited", + "Ġhead quartered", + "Ġen igmatic", + "�� �", + "Ġred ress", + "R H", + "Ġratt led", + "Ġd iction", + "l io", + "ĠT BA", + "ĠSN AP", + "C alling", + "Ġfasc ists", + "ĠD ove", + "iew icz", + "0 36", + "Ġco asts", + "ĠR ect", + "Ġ) ]", + "L ot", + "6 29", + "ĠS EM", + "ĠPeters en", + "ĠExpl ain", + "ĠBo ards", + "ĠBe zos", + "ĠJ ournals", + "Ġ20 24", + "p arser", + "Ġmist rust", + "Ġgr ate", + "ĠL ocked", + "bo a", + "S aint", + "g aming", + "Ġvow el", + "in ately", + "bl ow", + "All ah", + "Ġun matched", + "Ġb ordering", + "ĠExp end", + "n r", + "Or acle", + "rou ch", + "Ġcont iguous", + "ac us", + "Ġdist raught", + "58 1", + "Ġanat omical", + "O X", + "ap ixel", + "8 33", + "ĠPL US", + "Ġres usc", + "Ġab iding", + "57 3", + "Ġvac ancies", + "Em ily", + "Ġhyp othal", + "ĠWer ner", + "ĠWe e", + "ĠDJ s", + "5 13", + "Ġwitch craft", + "Ġac upuncture", + "ent ary", + "benef it", + "Product s", + "ĠP SP", + "ĠMP G", + "ĠJ inn", + "ĠJ arrett", + "Ġ4 45", + "ĠIm aging", + "ĠP yth", + "Fin ish", + "Ġte x", + "Ġjuven iles", + "Ġhero ism", + "Ġdoubt less", + "ĠA ki", + "ĠT end", + "ĠPatri arch", + "Ġbit ters", + "ĠTele communications", + "it atively", + "ag na", + "Ġr g", + "ĠS OLD", + "Ġcomp ulsion", + "ĠN asa", + "ĠKath ryn", + "Ġmillion aires", + "Ġintrins ically", + "Ġbolst ered", + "time out", + "fl o", + "Ġtut or", + "p our", + "Stat ement", + "Ġ{ *", + "ĠRud olph", + "ĠKimber ly", + "rog ens", + "adi q", + "] +", + "Ġindign ation", + "Ġfract uring", + "ĠRe leases", + "ĠGr ain", + "pro tein", + "L ago", + "Ġvac ations", + "Ġboot ed", + "ĠTH REE", + "ĠH G", + "oresc ence", + "Ġt f", + "Ġso ar", + "iosyn cr", + "Ġgl ances", + "ĠSp oon", + "ĠJ ury", + "ĠCow boy", + "Ġcreat ively", + "Hig her", + "Ġsolic itor", + "Ġhaw k", + "ac io", + "89 6", + "Ġsuperf lu", + "Ġbombs hell", + "ct ure", + "Ġbroker age", + "Ġraid ing", + "Ġf rench", + "Ġang led", + "Trans action", + "ĠGen ocide", + "u pe", + "ĠHait ian", + "57 2", + "! :", + "Ġunwitting ly", + "iter ator", + "sc roll", + "Ġtall ied", + "Ġbi omedical", + "ĠC ARD", + "Ġe uphem", + "Ġbrain storm", + "a quin", + "K o", + "Mic helle", + "ĠR unes", + "ĠBall istic", + "ud ers", + "Ġmod esty", + "ĠiP ads", + "ĠEzek iel", + "Y E", + "Ġstars hip", + "Ġpower fully", + "Ġper l", + "ĠSh ade", + "ĠQu art", + "ĠE EG", + "Ġfisher man", + "OS ED", + "ĠTyp ical", + "df x", + "Ġmes hes", + "Ġet ched", + "worth iness", + "Ġtopp led", + "Ġ3 96", + "or ius", + "We iss", + "Ġmy sql", + "ĠVal halla", + "Ù Ĵ", + "le asing", + "Ġrec omp", + "rap nel", + "S el", + "04 3", + "Ġder ailed", + "ĠGu ides", + "IR T", + "Ġde human", + "ĠBritt any", + "\" ))", + "Ġex claim", + "Ġb alk", + "Ġ8 40", + "CLA IM", + "int el", + "L AB", + "Ġpe gged", + "Ġast roph", + "sm oking", + "Ġrig ging", + "Ġfix ation", + "Ġcat apult", + "ins ide", + "ĠC ascade", + "ĠBolshe vik", + "G aza", + "Dep th", + "Ġloud spe", + "Ġalmond s", + "me yer", + "l eness", + "j en", + "f resh", + "Ġunbeat en", + "ĠSqu id", + "ĠPres umably", + "Tim er", + "B W", + "Ġro sters", + "Ġell ipt", + "ĠHar riet", + "dat abase", + "ĠMut ual", + "ĠComm odore", + "uk ed", + "kn ife", + "ĠCOMM UN", + "h ya", + "Ġmel ts", + "arch ives", + "Ġrat ification", + "Ġmultip lying", + "Ġinter oper", + "Ġasc ert", + "w ings", + "ver ting", + "ĠScorp ion", + "ay e", + "ĠPorts mouth", + "ĠM TA", + "n it", + "iaz ep", + "Ġqu arantine", + "Ġslides how", + "Ġcent imeters", + "Ġsyn opsis", + "Ġsp ate", + "th irst", + "Ġnom inating", + "ĠMel vin", + "Pre view", + "Ġthro b", + "Ġgener ational", + "ĠRad ius", + "rest ling", + "put able", + "aw ar", + "N ECT", + "Ġunlaw fully", + "ĠRevel ations", + "Wik ipedia", + "sur v", + "Ġeye ing", + "ij n", + "ĠF W", + "Ġbr unt", + "Ġinter stellar", + "Ġcl itor", + "ĠCroat ian", + "ĠCh ic", + "ev a", + "ĠDis app", + "ĠA kin", + "iner ies", + "d ust", + "Interest ed", + "Ġgen esis", + "ĠE ucl", + "ö n", + "p icking", + "Ġmut ated", + "Ġdisappro ve", + "ĠHD L", + "Ġ6 25", + "Ì ¶", + "c ancer", + "Ġsqu ats", + "Ġle vers", + "Disc uss", + "= ]", + "D ex", + "ĠVIDE OS", + "A UD", + "Ġtrans act", + "ĠKin ect", + "ĠK uala", + "ĠC yp", + "7 47", + "Ġsh attering", + "Ġarsen ic", + "ĠInt ake", + "ĠAngel o", + "ĠQu it", + "ĠK he", + "Ġ18 93", + "M aker", + "0 29", + "ĠPain ting", + "Dis able", + "9 16", + "Ġanal ges", + "Ġtact ile", + "Ġprop hes", + "Ġd iced", + "ĠTravel s", + "ĠHe ader", + "ĠClub s", + "Ass istant", + "Ġinc rim", + "Ġd ips", + "Ġcruc ifix", + "ĠShan ahan", + "ĠInter pret", + "Ġ40 90", + "al ogy", + "abb a", + "Ġsimul ac", + "hus band", + "S IM", + "Ġrecy cle", + "uc er", + "ed ged", + "Ġre naissance", + "ĠBomb ay", + "Cath olic", + "ĠL INE", + "ĠCl othing", + "re ports", + "Ġpl aus", + "Ġd ag", + "ĠM ace", + "Z I", + "Ġintr uder", + "ĠVeter inary", + "g ru", + "Ġsne aky", + "ĠS ie", + "ĠC innamon", + "P OSE", + "Ġcou rier", + "ĠC NS", + "Ġemanc ipation", + "s it", + "Ġplay through", + "ĠFac ilities", + "v irt", + "ĠG auntlet", + "Thom pson", + "Ġunbeliev ably", + "Param eters", + "Ġst itching", + "ign e", + "ĠTH ESE", + "Priv acy", + "Ġshenan igans", + "Ġvit ri", + "ĠVal id", + "59 1", + "Ń ·", + "ĠProt otype", + "ink a", + "SC P", + "ĠT id", + "è Ī", + "old ed", + "Ġindividual ity", + "Ġbark ing", + "Ġm ars", + "ĠW D", + "Ġ8 20", + "Ġt ir", + "Ġsl apping", + "Ġdisgr untled", + "ĠAng ola", + "ri us", + "ĠTorn ado", + "ĠTh urs", + "Ġcapt cha", + "Ġang st", + "ĠP og", + "ĠAssass ins", + "ĠAd idas", + "Ġjoy ful", + "Ġwh ining", + "Emer gency", + "Ġphosph orus", + "Ġatt rition", + "oph on", + "ĠTimber wolves", + "ĠJ ah", + "ĠBr inging", + "ĠW ad", + "ĠEn sure", + "oh l", + "ĠX ie", + "omm el", + "c mp", + "Ġz ipper", + "Ġrel at", + "ĠCor ridor", + "m ilo", + "T ING", + "Av g", + "Ġcro pped", + "] }", + "Ġr aged", + "ĠLump ur", + "ĠGuer rero", + "our ke", + "N ut", + "Ġoff sets", + "og lu", + "dr m", + "Ġmort als", + "lat able", + "Ġdismiss ive", + "ä¸ ī", + "Ġthro ats", + "Ġchips et", + "ĠSpot light", + "Catal og", + "art ist", + "G b", + "Ġch illy", + "Ġst oked", + "Ġ3 74", + "W ard", + "L atin", + "Ġf iasco", + "Ġble ach", + "Ġb rav", + "Enh anced", + "Ġin oc", + "ĠFior ina", + "_ >", + "Ġle ukemia", + "Ġel uc", + "Ġannoun cer", + "ĠLith uan", + "ĠArm ageddon", + "å ĩ", + "Len in", + "ĠR uk", + "Ġpe pp", + "ĠRom antic", + "ĠP IT", + "ĠInter stellar", + "ĠAt kinson", + "R aid", + "J s", + "Go al", + "C ourse", + "Ġvan ishing", + "es ley", + "ĠR ounds", + "Els a", + "59 3", + "Ġredund ancy", + "ĠST AND", + "Ġprop hetic", + "Ġhabit able", + "ry u", + "Ġfaint ly", + "M ODE", + "Ġfl anked", + "IR C", + "Aw esome", + "Ġsp urious", + "ĠZ ah", + "ĠMS G", + "Ġsh ading", + "Ġmotiv ational", + "ĠSant ana", + "ĠS PR", + "Ġexc ruciating", + "om ial", + "ĠM iko", + "ĠLe opard", + "A byss", + "Ġ[ |", + "d irty", + "Ġbath s", + "Ġdem oral", + "and re", + "P B", + "Ġun ification", + "Ġsac rament", + "Ġ[ &", + "Ġpric eless", + "Ġgel atin", + "Ġeman ating", + "ĠAll aah", + "98 6", + "Ġout burst", + "Ġer as", + "ĠX VI", + "ĠSP I", + "O tt", + "ĠLaz arus", + "PL IED", + "F lying", + "blog s", + "W isconsin", + "R aven", + "Ġreb ate", + "Ġcreep s", + "ĠSp an", + "ĠPain ter", + "ĠKir a", + "ĠAm os", + "ĠCor vette", + "Cons umer", + "ĠRec over", + "ck i", + "Ġpes ky", + "ĠIn vention", + "Compan ies", + "Ġchalleng ers", + "ad emic", + "ĠUkrain ians", + "ĠNeuro log", + "ĠFors aken", + "Ġent rants", + "Ġemb attled", + "Ġdef unct", + "ĠGlac ier", + "Ġpo isons", + "ĠH orses", + "m akes", + "ĠD irt", + "Ġ4 23", + "hh h", + "ĠTrans formation", + "QUI RE", + "................ ..", + "Ġtrave ller", + "ĠSe xy", + "ĠK ern", + "ip olar", + "Ġransom ware", + "oooooooo oooooooo", + "E c", + "rub y", + "Prof essional", + "ĠOut break", + "arg ument", + "G rey", + "ĠFif a", + "ĠCH O", + "ĠFOR M", + "ĠAm trak", + "- [", + "Ġcr adle", + "Ġantioxid ants", + "ãģ®å ®", + "7 36", + "ĠNAS L", + "ĠContribut ions", + "Ind iana", + "ĠST EP", + "C SS", + "Ġsal ient", + "Ġall ocations", + "yr ights", + "Ġm ashed", + "ĠCut ter", + "Sex ual", + "Ġp ounded", + "Ġfan base", + "Ġc asc", + "ĠTrans parency", + "Ġanaly tic", + "ĠSummon er", + "× ŀ", + "ĠAD C", + "det ail", + "Ġvan quished", + "Ġcr abs", + "ar ie", + "Dest roy", + "ĠS ack", + "Ġtrans istor", + "Al abama", + "ĠK oen", + "ĠFisher ies", + "c one", + "Ġannex ed", + "ĠM GM", + "es a", + "Ġf aked", + "ĠCong ratulations", + "Ġhind ered", + "Ġcorrection al", + "ĠI TV", + "lee ve", + "Ġin appropriately", + "lic ks", + "Ġtresp ass", + "Ġp aws", + "Ġnegoti ator", + "ĠChrist ensen", + "lim its", + "ĠDian ne", + "Ġeleg ance", + "ĠContract s", + "an ke", + "Ob j", + "Ġvigil ance", + "Ġcast les", + "ĠN AD", + "ĠHol o", + "Ġemph atically", + "ĠTit us", + "ĠServ ing", + "ĠRich ie", + "ĠP igs", + "5 68", + "Ġanim osity", + "ĠAtt ributes", + "ĠU riel", + "M Q", + "my ra", + "ĠApplic ant", + "Ġpsychiat rists", + "ĠV ij", + "ĠAb by", + "ag ree", + "P ush", + "Ġk Wh", + "hib a", + "Ġinc ite", + "ĠWe asley", + "ĠTax i", + "minist ic", + "hy per", + "ĠF arn", + "Ġ6 01", + "ĠNation wide", + "F ake", + "95 2", + "Ġma ize", + "Ġinteract ed", + "Ġtransition ed", + "Ġparas itic", + "Ġharm onic", + "Ġdec aying", + "Ġbas eless", + "ns ics", + "Ġtrans pired", + "Ġabund antly", + "ĠFore nsic", + "Ġtread mill", + "ĠJ av", + "ab and", + "Ġssh d", + "Ġfront man", + "ĠJak arta", + "oll er", + "dro ps", + "ĠSERV ICES", + "rompt u", + "oph ical", + "h ospital", + "bled on", + "6 45", + "Ġmid range", + "ĠEV ENT", + "cul ated", + "raw led", + "Ġper ched", + "Ġover board", + "ĠPe el", + "ĠP wr", + "ĠCar th", + "ĠCOM PLE", + "co e", + "sh all", + "Ġdeter rence", + "M ETHOD", + "ĠAbs ent", + "M EN", + "Ġs ill", + "ĠLE VEL", + "Y ork", + "Ġsin ners", + "ĠOP EC", + "ĠN ur", + "ĠDesign s", + "se lection", + "Ġunw orthy", + "CH A", + "Ġstreng thens", + "88 3", + "ed ly", + "Ġslic ing", + "Ġmal nutrition", + "Ġfilm making", + "ĠPol k", + "ur ated", + "Ġ4 21", + "bre akers", + "!' \"", + "Ġwet lands", + "ĠDisc rimination", + "Ġallow able", + "Ġste ered", + "ĠSic ily", + "S AM", + "Ġmust ache", + "Ġm ids", + "Ġcl ipped", + "Ġcirc ulate", + "Ġbr ittle", + "ĠBuild ings", + "ra ised", + "ĠRound up", + "Ġwealth ier", + "Ġoverw rite", + "Ġover powered", + "ĠGerr ard", + "s ites", + "PD ATED", + "Ġacute ly", + "ĠGam ble", + "Ġp im", + "ĠK us", + "Typ ically", + "De ploy", + "ĠMoroc can", + "p otion", + "com be", + "Ġvigil ante", + "Ġ36 3", + "St ew", + "ĠB agg", + "Ġres ided", + "ĠSp o", + "Ġrem nant", + "Ġempt iness", + "br ainer", + "Ġout patient", + "pri ority", + "Ġle ptin", + "ĠPay ton", + "ĠGle aming", + "ĠS hed", + "ĠPol o", + "ĠMormon ism", + "rest ricted", + "arl ane", + "w x", + "Ġcreat ine", + "ĠAn on", + "ĠST UD", + "ĠJ UL", + "ĠT ee", + "5 28", + "08 9", + "Ġhat ched", + "Dis patch", + "ĠCompos ite", + "Ġ45 1", + "p uff", + "ĠX COM", + "ĠOr n", + "ĠTH ANK", + "END ED", + "ĠAshe ville", + "Ġà ľ", + "Ġman go", + "ĠS lightly", + "world ly", + "ĠW ander", + "ĠExp and", + "ĠCh r", + "M ist", + "Ġorthodox y", + "ĠUN ESCO", + "reg ate", + "Else where", + "k ie", + "ir led", + "Ġtopp le", + "Ġadopt ive", + "ĠLeg s", + "d ress", + "ĠS agan", + "b are", + "ĠGl ou", + "Cr unch", + "Ġhelp ers", + "Ġchron ically", + "ĠH uma", + "1 0000", + "Ġaccommod ating", + "äº Ķ", + "Ġwrink les", + "Ġdod ged", + "four th", + "Ġpre con", + "Ġcompress or", + "ĠK are", + "Ġev ict", + "ĠWar wick", + "im ar", + "Ġmodern ization", + "Ġband wagon", + "Ġref uted", + "Ġnet ted", + "ĠNa ples", + "ĠGen ie", + "per ors", + "Ġfield ed", + "Ġde re", + "ĠPar ables", + "le es", + "Ġtr out", + "asp ers", + "Ġn ihil", + "Ġhapp iest", + "Ġflo ppy", + "ĠLo ft", + "ĠHe ard", + "Ġun ison", + "Ġl ug", + "ĠRed mond", + "class ic", + "Supp orters", + "SH IP", + "G MT", + "Ġfue lled", + "ç IJ", + "Ġd d", + "ĠEmin em", + "Ġ18 97", + "NY SE", + "Ġsecret aries", + "ĠF IA", + "ĠCanaver al", + "F avorite", + "Ġp omp", + "Ġdetain ee", + "ers hip", + "aim on", + "i our", + "ĠA pex", + "Ġplant ations", + "am ia", + "ac ion", + "R ust", + "Ġtow ed", + "ĠTru ly", + "5 77", + "Ġshel tered", + "r ider", + "W o", + "Ġl air", + "ĠInt elligent", + "impro ve", + "m atically", + "Ġet iquette", + "ad ra", + "all o", + "ĠJun o", + "any thing", + "ĠStru ggle", + "ĠPred ict", + "ĠGr imes", + "ĠAMER ICA", + "ct x", + "ĠSit uation", + "W OOD", + "Ġsol uble", + "me ier", + "Ġintoler able", + "ang ering", + "Ġun interrupted", + "Ġtool tip", + "Ġinterrog ated", + "Ġgun ned", + "ĠSne ak", + "æŃ ¦", + "Ġt ether", + "Ġcr umble", + "L ens", + "Ġclust ered", + "ĠSy l", + "ĠHas an", + "Ġdystop ian", + "w ana", + "Ġjoy stick", + "ĠTh ib", + "amm u", + "Tom orrow", + "5 46", + "Ġoverc ame", + "Ġminim ized", + "cept or", + "Run ner", + "ENG TH", + "ĠBrend a", + "ĠAchieve ments", + "Ġtor ches", + "Ġrapp ort", + "ĠInvestig ator", + "ĠHand ling", + "rel ation", + "g rey", + "8 15", + "Ġk cal", + "ĠComm ands", + "d q", + "Ġcur ls", + "Ġbe arer", + "Ġcyn icism", + "it ri", + "ĠUse ful", + "B ee", + "D CS", + "Ġab ras", + "P ract", + "BIL ITIES", + "7 12", + "Ġdebug ger", + "Ġdebt or", + "ĠL ia", + "ĠK ers", + "Ġexacerb ate", + "ĠSt acy", + "ĠB land", + "ĠSc enes", + "Ġbranch ing", + "âĸĪâĸĪâĸĪâĸĪ âĸĪâĸĪâĸĪâĸĪ", + "ape ake", + "Ġs alsa", + "Ġmish and", + "ĠKon ami", + "ĠN ib", + "Ġanecd ote", + "Ġagree able", + "Ï ī", + "ĠNath aniel", + "ĠHe isman", + "ĠB eware", + "Ġ18 86", + "spect ive", + "69 1", + "5 22", + "Ġinhib its", + "Ġhas hing", + "Ġ18 89", + "å° Ĩ", + "v ich", + "P ure", + "Ġsolid ly", + "Ġaspir in", + "im aru", + "Ġstreet car", + "ĠU CS", + "ĠJ udd", + "Ġflash backs", + "p ins", + "Ġ14 40", + "ĠUN HCR", + "ĠSym ptoms", + "T IT", + "5 38", + "F ra", + "% );", + "Ġo oz", + "Ġcur few", + "Ġcal med", + "Ġparticip ates", + "Te X", + "Ġnons ensical", + "Ġfull back", + "ĠDe L", + "mon key", + "h ari", + "Ġmetabol ites", + "Ġloot ed", + "ĠAL WAYS", + "ĠB CC", + "L t", + "oc het", + "B one", + "Ġveto ed", + "Ġg cc", + "ĠCL ICK", + "Ġ18 88", + "s af", + "Ġstiff ness", + "Ġlow ly", + "ĠGe h", + "vers on", + "ors et", + "Ġun foreseen", + "Ġan esthesia", + "ĠOpt ical", + "Ġrecon structed", + "ĠT up", + "sh ows", + "NEW S", + "ĠNewsp aper", + "ĠA SA", + "ter a", + "N umbers", + "Ġinexpl icable", + "× ij", + "Ġhard ness", + "unt arily", + "ĠA cer", + "grad ient", + "ARD IS", + "Ġwood land", + "Ġmetaph ors", + "ĠWem bley", + "ĠPa vel", + "phil is", + "Ġre writing", + "Ġpercept ual", + "Ġ10 70", + "worm s", + "ĠDown s", + "Ġunsur prisingly", + "Ġtag ging", + "fl ame", + "Ġlit res", + "Ġboun ces", + "ĠB abe", + "sh ut", + "Ġoverd oses", + "ĠShe ila", + "ĠCh au", + "ĠBl ess", + "Capt ure", + "ĠSign ificant", + "ĠSc ion", + "Ġ38 9", + "ĠMc H", + "ĠTitan ium", + "ĠMe al", + "amed a", + "ag ents", + "agg ressive", + "B illy", + "76 3", + "ĠS aying", + "DER R", + "it one", + "Coll ins", + "B ound", + "Ġbol ted", + "ĠDM CA", + "95 3", + "Ġun iqueness", + "Ġep igen", + "un ci", + "ant am", + "Ġreck oning", + "ch airs", + "OG R", + "ĠSen egal", + "Ġ18 62", + "re levant", + "Ġ ¯", + "Ġpharm acies", + "ĠG eral", + "v ier", + "Y an", + "OR PG", + "Ġrab id", + "b ending", + "ĠUN ITED", + "Ġ4 65", + "As sembly", + "Ġwe ep", + "Ġbe hest", + "ĠMother s", + "ĠJ ace", + "h id", + "Ġwh irlwind", + "ĠUN IVERS", + "Ġut opian", + "Ġkidn ap", + "Ph ilipp", + "K in", + "89 3", + "Ġlivest ream", + "ĠM ISS", + "Ġsub versive", + "ĠTechn iques", + "ĠJUST ICE", + "ĠB ASE", + "Ġ38 7", + "Ġassail ants", + "ĠHard core", + "Ġsprink led", + "ĠP se", + "é ļ", + "print ed", + "ĠH au", + "OR GE", + "ĠT OUR", + "Ġl aced", + "Ġit ch", + "G iving", + "Ġport ed", + "78 1", + "//////////////// ////////////////", + "bre eding", + "Ġlog ger", + "ĠH OL", + "inn ie", + "First ly", + "Ġembry onic", + "Ġdeleg ated", + "p ai", + "O IL", + "Ġcentr ally", + "ĠR x", + "ĠSc outing", + "D utch", + "Ġhe reditary", + "ĠCru iser", + "s at", + "5 29", + "ĠMar riott", + "other mal", + "Ġprohib itions", + "E arn", + "ĠSt ab", + "ĠColleg es", + "ĠBel ief", + "st retched", + "ĠL H", + "ĠEntity Item", + "C IA", + "Ġun rem", + "Ġlaure ate", + "Ġdenomin ations", + "sum mary", + "h ler", + "S pect", + "ĠK laus", + "ĠBe ans", + "Ġins ur", + "ĠPA X", + "Ġfield er", + "ĠV et", + "ĠSp arrow", + "z ie", + "ĠS Q", + "ĠMond ays", + "ĠOff line", + "ĠLer ner", + "ĠExt ensions", + "Ire land", + "Ġpatron age", + "Ġcontrast ed", + "ĠMan ia", + "h irt", + "Mos cow", + "Ġcondem ns", + "ĠAn ge", + "Ġcomp osing", + "ĠPe pe", + "ĠP addock", + "Ġheter ogeneity", + "Ġide ologically", + "Ġf ishes", + "Ġcur sing", + "ĠR utherford", + "ĠFlo ating", + "ĠAm elia", + "Te a", + "Syn opsis", + "Ġstun ts", + "Ġbe ad", + "Ġstock ing", + "ĠM ILL", + "ob ook", + "mass ive", + "\\ <", + "Ġh ump", + "ĠPref erences", + "Engine Debug", + "ge ist", + "ĠNiet o", + "ome ver", + "ish y", + "eval uate", + "col onial", + "Altern ative", + "ĠGo Pro", + "ĠV ortex", + "ĠNET WORK", + "ans ky", + "Sec ure", + "ĠTh rust", + "Sn ake", + "Ġparcel s", + "Ġsam urai", + "Ġactress es", + "N ap", + "M F", + "ifer ation", + "Be er", + "5 23", + "ĠI ly", + "oint ment", + "P ing", + "Ġstri ped", + "ĠMell on", + "oss ession", + "Ġneut ron", + "end ium", + "Ġa ph", + "ĠFlav oring", + "Ġ38 3", + "Ġrespons iveness", + "ĠJ indal", + "ĠHitch cock", + "Den ver", + "ĠDRAG ON", + "sm anship", + "ĠDu pl", + "Ġs ly", + "Ġweb cam", + "ĠTw ain", + "ĠDar ling", + "ili ate", + "cons umer", + "D IT", + "Ġnames ake", + "Ġun orthodox", + "Ġfun er", + "ĠPL oS", + "ĠCONTR OL", + "ozy g", + "ogl obin", + "F ACE", + "ER G", + "ĠD ia", + "ĠF iesta", + "ce le", + "0 34", + "Ġencl ave", + "âĸ¬ âĸ¬", + "on ement", + "al ist", + "M and", + "Ġhome grown", + "ĠF ancy", + "Ġconcept ions", + "ĠCont ains", + "ure en", + "Ġreiter ate", + "Ġme ager", + "Ġinstall ments", + "Sp awn", + "6 27", + "Ġphot oc", + "ĠCab rera", + "ĠRos enthal", + "ĠLans ing", + "is ner", + "Ġinvest s", + "ĠUFO s", + "EX P", + "Hard ware", + "Ġtr agically", + "Ġconced es", + "ie ft", + "ch am", + "bor gh", + "ĠSch r", + "ĠMel anie", + "ĠH oy", + "Ġvisit ation", + "Ġid iosyncr", + "Ġfract ions", + "Ġfore skin", + "ob os", + "Ġpo aching", + "ĠVI EW", + "Ġstimul ates", + "ĠG ork", + "can on", + "M IC", + "ĠNem esis", + "ĠInd ra", + "ĠDM V", + "Ġ5 29", + "Ġinspect ing", + "Ġgrand ma", + "ĠW hedon", + "ĠSh ant", + "ĠP urg", + "ik an", + "ĠT eg", + "ĠCL R", + "z ac", + "Vict oria", + "ĠVer ify", + "ion ics", + "Ġpart ying", + "ĠM ou", + "col our", + "Ġtestim onies", + "l ations", + "Ġpress uring", + "hi ro", + "ac ers", + "Ġf id", + "ang ler", + "ĠCS I", + "Ġhere after", + "Ġdiss idents", + "report ing", + "iph any", + "che v", + "Ġsol itude", + "Ġl obe", + "Ġind is", + "Ġcred ential", + "re cent", + "ad ult", + "ĠNir vana", + "ĠFranch ise", + "L ayer", + "H yp", + "ĠBerks hire", + "Ġwill s", + "t if", + "Ġtot em", + "ĠJud ah", + "rep air", + "Inst ant", + "5 48", + "Ġemb assies", + "Ġbott leneck", + "Ġb ount", + "Ġtyp ew", + "ĠAl vin", + "j ing", + "im ilar", + "R ush", + "Ġbr im", + "ĠHEL P", + "A im", + "] '", + "Ġpass ively", + "Ġbound ed", + "ĠR ated", + "Ġcriminal ity", + "Ġbiom ark", + "Ġdisp atcher", + "ĠTow ards", + "Ġ+ ++", + "right eous", + "f rog", + "ĠP anc", + "C arter", + "0 32", + "æ© Ł", + "Ġult raviolet", + "ĠLic ensed", + "ĠT ata", + "ĠBl essing", + "ĠG AM", + "Ġchem ically", + "ĠSe af", + "ĠRE LE", + "ĠMerc enary", + "capital ist", + "Ġform ulations", + "Ġann ihilation", + "ĠVer b", + "ĠAr gon", + "Ġun loaded", + "Ġmorp hed", + "Ġconqu ering", + "back er", + "I ELD", + "Ġtheft s", + "Ġfront runner", + "ĠRoy ale", + "ĠFund amental", + "el ight", + "C hip", + "necess ary", + "ay n", + "ĠSl ip", + "Ġ4 48", + "cern ed", + "P ause", + "Ġshock ingly", + "ĠAB V", + "Ġcomp osure", + "7 33", + "ĠMotors port", + "ah ime", + "Mur ray", + "M ach", + "Ġgr ids", + "Ġdeb ian", + "Ġfurther more", + "Ġdexter ity", + "ĠCollect ions", + "os lov", + "il age", + "b j", + "ĠMont eneg", + "Ġstrut Connector", + "Ġmassac res", + "Ġbrief s", + "fet ched", + "uv ian", + "ol ition", + "Fail ure", + "emon ic", + "Ġfl ared", + "Ġclaim ant", + "Ġc ures", + "Ġgive aways", + "ĠSubst ance", + "al ions", + "Ġcr inge", + "ĠK ul", + "Ġarist ocracy", + "ĠUl ster", + "ol ated", + "h ousing", + "ĠM IS", + "Ġgl ared", + "ĠWil helm", + "ne eds", + "lam bda", + "build ers", + "ĠV IS", + "Ġradi ator", + "ĠGhost busters", + "Ġ4 36", + "act ual", + "Ġher ds", + "ç a", + "watch ing", + "Ġcounter ing", + "Ch arge", + "Ġchar red", + "Ġwar heads", + "Ġiod ine", + "ĠM acy", + "04 1", + "Ġdepart ures", + "ĠS ins", + "Ġdy ed", + "ĠConcept s", + "g ado", + "7 13", + "Ġquot ations", + "Ġg ist", + "ĠChrist y", + "Ġant igen", + "ĠHem p", + "ĠD rawn", + "ĠB arg", + "ez vous", + "Ġp aternity", + "Ġar du", + "ĠAnch orage", + "ĠR ik", + "Ġover loaded", + "ĠUs ername", + "ĠTam my", + "ĠN au", + "ĠCell ular", + "Ġw aning", + "Ġrod ent", + "ĠWor cester", + "il ts", + "ĠT ad", + "Ġdwell ings", + "Ġbull ish", + "4 31", + "Ġretali ate", + "Ġmig raine", + "ĠChev ron", + "CH ECK", + "Ġdon key", + "c rim", + "SP A", + "ĠAn alog", + "Ġmarqu ee", + "ĠHa as", + "B ir", + "ĠGD DR", + "ĠDownload s", + "Ġwill power", + "ĠFor th", + "ĠRecord ed", + "Ġimp ossibility", + "ĠLog ged", + "ĠFr anks", + "ĠR att", + "in itions", + "Ġclean ers", + "Ġsore ly", + "Ġflick ering", + "ĠEx amination", + "c atching", + "allow een", + "Ms g", + "Ġdun no", + "F a", + "Ġdys ph", + "c razy", + ".' '.", + "Ġmain line", + "Ġc s", + "Ġp tr", + "ĠW ally", + "ig un", + "95 1", + "ĠBig foot", + "f ights", + "Ġretrie ving", + "J r", + "Ġdupl ication", + "ĠExpl an", + "Ġrel ational", + "Ġqu aint", + "Ġbisc uits", + "Ġad o", + "Ġsh udder", + "Ġantid ote", + "blood ed", + "ks h", + "Ġsa uces", + "Ġrein vest", + "Ġdispens ary", + "ĠD iver", + "Ġ9 000", + "stud ent", + "Ġin separ", + "esc ap", + "Ġtodd lers", + "ĠGP IO", + "ĠAss ignment", + "head ers", + "Ġlack luster", + "Ġab ack", + "95 6", + "Ġtool bar", + "7 45", + "Ġo ust", + "Ġcontempl ation", + "ĠPRES IDENT", + "Ġ4 58", + "==== ==", + "Ġguarantee ing", + "ĠHe ist", + "ĠCann es", + "Ļ ½", + "Ġcollabor ator", + "ĠAm p", + "Ġg ou", + "ĠSH ALL", + "st ories", + "78 3", + "Ġmobil ized", + "Ġbro od", + "ĠL U", + "ĠðŁ ij", + "Ġref in", + "ĠAnthrop ology", + "v ind", + "ill i", + "Ġwarrant ies", + "ĠB abel", + "Ġsw ath", + "Ġc aches", + "Ġantagon ists", + "art ifacts", + "Ġhot ly", + "ĠSt arts", + "ĠG ö", + "z ag", + "!! !!!", + "Ġsc ourge", + "Ġcons piring", + "ru its", + "re verse", + "ĠShe en", + "ĠJes uit", + "ĠGiov anni", + "ad ies", + "Ġbutt ocks", + "ear cher", + "ac an", + "Ġvolley ball", + "Ġshroud ed", + "Ġscore board", + "b ats", + "ĠI PM", + "Ġass es", + "Ġde regulation", + "ĠTe legram", + "ĠReb oot", + "Ġ7 000", + "ĠCan ary", + "Ġk ernels", + "ĠFranç ois", + "ĠD uff", + "ĠP on", + "ĠLe ica", + "ĠGar min", + "Ġor phans", + "ĠClaud ia", + "Ġcal endars", + "ĠLe ilan", + "ent o", + "R ocket", + "Ġbr unch", + "ĠHaw king", + "ain ers", + "Ġsens ibilities", + "Ġk W", + "ĠK and", + "Ġre claimed", + "Ġinteresting ly", + "× ©", + "rom y", + "J M", + "ĠEnhance ment", + "b ush", + "Sk ip", + "Ġrapp ers", + "Ġg azing", + "p edia", + "ath lon", + "Rev olution", + "Ġsn ipers", + "Ġre verted", + "Ġconglomer ate", + "T erry", + "79 4", + "Ġhars her", + "Ġdes olate", + "ĠHit man", + "Comm ission", + "Ġ( /", + "âĢ¦ .\"", + "Com par", + "Ġampl ification", + "om inated", + "Ġreg ress", + "ĠColl ider", + "Ġinform ants", + "Ġg azed" 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"num_key_value_heads": 32 - }, - "embedding": { - "filename": "dummy.onnx", - "inputs": { - "input_ids": "input_ids" - }, - "outputs": { - "inputs_embeds": "inputs_embeds" - } - }, - "vision": { - "filename": "dummy.onnx", - "inputs": { - "pixel_values": "past_0", - "image_sizes": "image_sizes" - }, - "outputs": { - "visual_features": "visual_features" - } - }, - "eos_token_id": [ - 2, - 32000, - 32001, - 32007 - ], - "pad_token_id": 32000, - "type": "phi3v", - "vocab_size": 32064 - }, - "search": { - "diversity_penalty": 0.0, - "do_sample": false, - "early_stopping": true, - "length_penalty": 1.0, - "max_length": 131072, - "min_length": 0, - "no_repeat_ngram_size": 0, - "num_beams": 1, - "num_return_sequences": 1, - "past_present_share_buffer": true, - "repetition_penalty": 1.0, - "temperature": 1.0, - "top_k": 1, - "top_p": 1.0 - } +{ + "model": { + "bos_token_id": 1, + "context_length": 131072, + "decoder": { + "session_options": { + "log_id": "onnxruntime-genai", + "provider_options": [] + }, + "filename": "dummy_text.onnx", + "head_size": 96, + "hidden_size": 3072, + "inputs": { + "inputs_embeds": "inputs_embeds", + "attention_mask": "attention_mask", + "past_key_names": "past_key_values.%d.key", + "past_value_names": "past_key_values.%d.value" + }, + "outputs": { + "logits": "logits", + "present_key_names": "present.%d.key", + "present_value_names": "present.%d.value" + }, + "num_attention_heads": 32, + "num_hidden_layers": 1, + "num_key_value_heads": 32 + }, + "embedding": { + "filename": "dummy_embedding.onnx", + "inputs": { + "input_ids": "input_ids", + "image_features": "image_features" + }, + "outputs": { + "inputs_embeds": "inputs_embeds" + } + }, + "vision": { + "filename": "dummy_vision.onnx", + "inputs": { + "pixel_values": "pixel_values", + "image_sizes": "image_sizes" + }, + "outputs": { + "image_features": "image_features" + } + }, + "eos_token_id": 32007, + "pad_token_id": 32000, + "type": "phi3v", + "vocab_size": 32064 + }, + "search": { + "diversity_penalty": 0.0, + "do_sample": false, + "early_stopping": true, + "length_penalty": 1.0, + "max_length": 131072, + "min_length": 0, + "no_repeat_ngram_size": 0, + "num_beams": 1, + "num_return_sequences": 1, + "past_present_share_buffer": true, + "repetition_penalty": 1.0, + "temperature": 1.0, + "top_k": 1, + "top_p": 1.0 + } } \ No newline at end of file diff --git a/test/test_models/vision-preprocessing/processor_config.json b/test/test_models/vision-preprocessing/processor_config.json index c217a6003..22adf04d8 100644 --- a/test/test_models/vision-preprocessing/processor_config.json +++ b/test/test_models/vision-preprocessing/processor_config.json @@ -25,7 +25,7 @@ "domain": "com.microsoft.extensions", "type": "Phi3ImageTransform", "attrs": { - "num_crops": 16, + "num_crops": 4, "num_img_tokens": 144 } } diff --git a/test/test_models/vision-preprocessing/special_tokens_map.json b/test/test_models/vision-preprocessing/special_tokens_map.json index f3809994e..0616f20a3 100644 --- a/test/test_models/vision-preprocessing/special_tokens_map.json +++ b/test/test_models/vision-preprocessing/special_tokens_map.json @@ -1,36 +1,36 @@ -{ - "additional_special_tokens": [ - "<|system|>", - "<|end|>", - "<|user|>", - "<|end|>" - ], - "bos_token": { - "content": "", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false - }, - "eos_token": { - "content": "<|endoftext|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false - }, - "pad_token": { - "content": "<|endoftext|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false - }, - "unk_token": { - "content": "", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false - } -} +{ + "additional_special_tokens": [ + "<|system|>", + "<|end|>", + "<|user|>", + "<|end|>" + ], + "bos_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "<|endoftext|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "<|endoftext|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/test/test_models/vision-preprocessing/tokenizer.json b/test/test_models/vision-preprocessing/tokenizer.json index 93333dd68..7f2088c90 100644 --- a/test/test_models/vision-preprocessing/tokenizer.json +++ b/test/test_models/vision-preprocessing/tokenizer.json @@ -131,7 +131,7 @@ }, { "id": 32011, - "content": "<|step|>", + "content": "<|placeholder7|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -140,7 +140,7 @@ }, { "id": 32012, - "content": "<|function_output|>", + "content": "<|placeholder8|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -149,7 +149,7 @@ }, { "id": 32013, - "content": "<|tag|>", + "content": "<|placeholder9|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -158,7 +158,7 @@ }, { "id": 32014, - "content": "<|function_call|>", + "content": "<|placeholder10|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -167,7 +167,7 @@ }, { "id": 32015, - "content": "<|raw|>", + "content": "<|placeholder11|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -176,7 +176,7 @@ }, { "id": 32016, - "content": "<|continue|>", + "content": "<|placeholder12|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -185,7 +185,7 @@ }, { "id": 32017, - "content": "<|function_list|>", + "content": "<|placeholder13|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -194,7 +194,7 @@ }, { "id": 32018, - "content": "<|calc|>", + "content": "<|placeholder14|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -203,7 +203,7 @@ }, { "id": 32019, - "content": "<|code|>", + "content": "<|placeholder15|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -212,7 +212,7 @@ }, { "id": 32020, - "content": "<|/code|>", + "content": "<|placeholder16|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -221,7 +221,7 @@ }, { "id": 32021, - "content": "<|summary|>", + "content": "<|placeholder17|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -230,7 +230,7 @@ }, { "id": 32022, - "content": "<|resource|>", + "content": "<|placeholder18|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -239,7 +239,7 @@ }, { "id": 32023, - "content": "<|assistant_mask|>", + "content": "<|placeholder19|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -248,7 +248,7 @@ }, { "id": 32024, - "content": "<|start|>", + "content": "<|placeholder20|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -257,7 +257,7 @@ }, { "id": 32025, - "content": "<|message|>", + "content": "<|placeholder21|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -266,7 +266,7 @@ }, { "id": 32026, - "content": "<|fim_prefix|>", + "content": "<|placeholder22|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -275,7 +275,7 @@ }, { "id": 32027, - "content": "<|fim_middle|>", + "content": "<|placeholder23|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -284,7 +284,7 @@ }, { "id": 32028, - "content": "<|fim_suffix|>", + "content": "<|placeholder24|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -293,7 +293,7 @@ }, { "id": 32029, - "content": "<|meta_start|>", + "content": "<|placeholder25|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -302,7 +302,7 @@ }, { "id": 32030, - "content": "<|ipynb_marker|>", + "content": "<|placeholder26|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -311,7 +311,7 @@ }, { "id": 32031, - "content": "<|diff_marker|>", + "content": "<|placeholder27|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -320,7 +320,7 @@ }, { "id": 32032, - "content": "<|ghissue|>", + "content": "<|placeholder28|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -329,7 +329,7 @@ }, { "id": 32033, - "content": "<|ghreview|>", + "content": "<|placeholder29|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -338,7 +338,7 @@ }, { "id": 32034, - "content": "<|disc_start|>", + "content": "<|placeholder30|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -347,7 +347,7 @@ }, { "id": 32035, - "content": "<|disc_sep|>", + "content": "<|placeholder31|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -356,7 +356,7 @@ }, { "id": 32036, - "content": "<|disc_thread|><|query|>", + "content": "<|placeholder32|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -365,7 +365,7 @@ }, { "id": 32037, - "content": "<|/query|>", + "content": "<|placeholder33|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -374,7 +374,7 @@ }, { "id": 32038, - "content": "<|data|>", + "content": "<|placeholder34|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -383,7 +383,7 @@ }, { "id": 32039, - "content": "<|/data|>", + "content": "<|placeholder35|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -392,7 +392,7 @@ }, { "id": 32040, - "content": "<|sys|>", + "content": "<|placeholder36|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -401,7 +401,7 @@ }, { "id": 32041, - "content": "<|/sys|>", + "content": "<|placeholder37|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -410,7 +410,7 @@ }, { "id": 32042, - "content": "<|inst|>", + "content": "<|placeholder38|>", "single_word": false, "lstrip": false, "rstrip": true, @@ -419,7 +419,7 @@ }, { "id": 32043, - "content": "<|/inst|>", + "content": "<|placeholder39|>", "single_word": false, "lstrip": false, "rstrip": true, diff --git a/test/test_models/vision-preprocessing/tokenizer_config.json b/test/test_models/vision-preprocessing/tokenizer_config.json index 995bec9e0..bda28a156 100644 --- a/test/test_models/vision-preprocessing/tokenizer_config.json +++ b/test/test_models/vision-preprocessing/tokenizer_config.json @@ -1,407 +1,413 @@ -{ - "add_bos_token": true, - "add_eos_token": false, - "added_tokens_decoder": { - "0": { - "content": "", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "1": { - "content": "", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "2": { - "content": "", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": false - }, - "32000": { - "content": "<|endoftext|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "32001": { - "content": "<|assistant|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32002": { - "content": "<|placeholder1|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32003": { - "content": "<|placeholder2|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32004": { - "content": "<|placeholder3|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32005": { - "content": "<|placeholder4|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32006": { - "content": "<|system|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "32007": { - "content": "<|end|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "32008": { - "content": "<|placeholder5|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32009": { - "content": "<|placeholder6|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32010": { - "content": "<|user|>", - "lstrip": false, - "normalized": false, - "rstrip": false, - "single_word": false, - "special": true - }, - "32011": { - "content": "<|step|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32012": { - "content": "<|function_output|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32013": { - "content": "<|tag|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32014": { - "content": "<|function_call|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32015": { - "content": "<|raw|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32016": { - "content": "<|continue|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32017": { - "content": "<|function_list|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32018": { - "content": "<|calc|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32019": { - "content": "<|code|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32020": { - "content": "<|/code|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32021": { - "content": "<|summary|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32022": { - "content": "<|resource|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32023": { - "content": "<|assistant_mask|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32024": { - "content": "<|start|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32025": { - "content": "<|message|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32026": { - "content": "<|fim_prefix|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32027": { - "content": "<|fim_middle|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32028": { - "content": "<|fim_suffix|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32029": { - "content": "<|meta_start|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32030": { - "content": "<|ipynb_marker|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32031": { - "content": "<|diff_marker|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32032": { - "content": "<|ghissue|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32033": { - "content": "<|ghreview|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32034": { - "content": "<|disc_start|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32035": { - "content": "<|disc_sep|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32036": { - "content": "<|disc_thread|><|query|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32037": { - "content": "<|/query|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32038": { - "content": "<|data|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32039": { - "content": "<|/data|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32040": { - "content": "<|sys|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32041": { - "content": "<|/sys|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32042": { - "content": "<|inst|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32043": { - "content": "<|/inst|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - }, - "32044": { - "content": "<|image|>", - "lstrip": false, - "normalized": false, - "rstrip": true, - "single_word": false, - "special": true - } - }, - "additional_special_tokens": [ - "<|system|>", - "<|end|>", - "<|user|>", - "<|end|>" - ], - "bos_token": "", - "chat_template": "{% for message in messages %}{{'<|' + message['role'] + '|>' + '\n' + message['content'] + '<|end|>\n' }}{% endfor %}{% if add_generation_prompt and messages[-1]['role'] != 'assistant' %}{{- '<|assistant|>\n' -}}{% endif %}", - "clean_up_tokenization_spaces": false, - "eos_token": "<|endoftext|>", - "model_max_length": 131072, - "pad_token": "<|endoftext|>", - "padding_side": "right", - "sp_model_kwargs": {}, - "tokenizer_class": "LlamaTokenizer", - "unk_token": "", - "use_default_system_prompt": false -} +{ + "add_bos_token": true, + "add_eos_token": false, + "add_prefix_space": null, + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "1": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "2": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": true, + "single_word": false, + "special": false + }, + "32000": { + "content": "<|endoftext|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32001": { + "content": "<|assistant|>", + "lstrip": false, + "normalized": false, + "rstrip": true, + "single_word": false, + "special": true + }, + "32002": { + "content": "<|placeholder1|>", + "lstrip": false, + "normalized": false, + "rstrip": true, + "single_word": false, 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"normalized": false, + "rstrip": true, + "single_word": false, + "special": true + }, + "32010": { + "content": "<|user|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "32011": { + "content": "<|placeholder7|>", + "lstrip": false, + "normalized": false, + "rstrip": true, + "single_word": false, + "special": true + }, + "32012": { + "content": "<|placeholder8|>", + "lstrip": false, + "normalized": false, + "rstrip": true, + "single_word": false, + "special": true + }, + "32013": { + "content": "<|placeholder9|>", + "lstrip": false, + "normalized": false, + "rstrip": true, + "single_word": false, + "special": true + }, + "32014": { + "content": "<|placeholder10|>", + "lstrip": false, + "normalized": false, + "rstrip": true, + "single_word": false, + "special": true + }, + "32015": { + "content": "<|placeholder11|>", + "lstrip": false, + "normalized": false, + "rstrip": true, + "single_word": false, + "special": true + }, + 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true + }, + "32029": { + "content": "<|placeholder25|>", + "lstrip": false, + "normalized": false, + "rstrip": true, + "single_word": false, + "special": true + }, + "32030": { + "content": "<|placeholder26|>", + "lstrip": false, + "normalized": false, + "rstrip": true, + "single_word": false, + "special": true + }, + "32031": { + "content": "<|placeholder27|>", + "lstrip": false, + "normalized": false, + "rstrip": true, + "single_word": false, + "special": true + }, + "32032": { + "content": "<|placeholder28|>", + "lstrip": false, + "normalized": false, + "rstrip": true, + "single_word": false, + "special": true + }, + "32033": { + "content": "<|placeholder29|>", + "lstrip": false, + "normalized": false, + "rstrip": true, + "single_word": false, + "special": true + }, + "32034": { + "content": "<|placeholder30|>", + "lstrip": false, + "normalized": false, + "rstrip": true, + "single_word": false, + "special": true + }, + "32035": { + "content": "<|placeholder31|>", + "lstrip": false, + "normalized": false, + "rstrip": true, + "single_word": false, + "special": true + }, + "32036": { + "content": "<|placeholder32|>", + "lstrip": false, + "normalized": false, + "rstrip": true, + "single_word": false, + "special": true + }, + "32037": { + "content": "<|placeholder33|>", + "lstrip": false, + "normalized": false, + "rstrip": true, + "single_word": false, + "special": true + }, + "32038": { + "content": "<|placeholder34|>", + "lstrip": false, + "normalized": false, + "rstrip": true, + "single_word": false, + "special": true + }, + "32039": { + "content": "<|placeholder35|>", + "lstrip": false, + "normalized": false, + "rstrip": true, + "single_word": false, + "special": true + }, + "32040": { + "content": "<|placeholder36|>", + "lstrip": false, + "normalized": false, + "rstrip": true, + "single_word": false, + "special": true + }, + "32041": { + "content": "<|placeholder37|>", + "lstrip": false, + "normalized": false, + "rstrip": true, + "single_word": false, + "special": true + }, + "32042": { + "content": "<|placeholder38|>", + "lstrip": false, + "normalized": false, + "rstrip": true, + "single_word": false, + "special": true + }, + "32043": { + "content": "<|placeholder39|>", + "lstrip": false, + "normalized": false, + "rstrip": true, + "single_word": false, + "special": true + }, + "32044": { + "content": "<|image|>", + "lstrip": false, + "normalized": false, + "rstrip": true, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "<|system|>", + "<|end|>", + "<|user|>", + "<|end|>" + ], + "auto_map": { + "AutoProcessor": "processing_phi3_v.Phi3VProcessor" + }, + "bos_token": "", + "chat_template": "{% for message in messages %}{{'<|' + message['role'] + '|>' + '\n' + message['content'] + '<|end|>\n' }}{% endfor %}{% if add_generation_prompt and messages[-1]['role'] != 'assistant' %}{{- '<|assistant|>\n' -}}{% endif %}", + "clean_up_tokenization_spaces": false, + "eos_token": "<|endoftext|>", + "legacy": false, + "model_max_length": 131072, + "pad_token": "<|endoftext|>", + "padding_side": "right", + "processor_class": "Phi3VProcessor", + "sp_model_kwargs": {}, + "tokenizer_class": "LlamaTokenizer", + "unk_token": "", + "use_default_system_prompt": false +} diff --git a/test/tests_helper.cu b/test/tests_helper.cu index 9ceb29bea..c15539d02 100644 --- a/test/tests_helper.cu +++ b/test/tests_helper.cu @@ -2,7 +2,6 @@ // Licensed under the MIT License. #include "tests_helper.cuh" -#include "../src/cuda_sampling.cuh" #include #include #include @@ -61,6 +60,20 @@ __global__ void FisherYatesKernel(float* logits, int* indices, int vocab_size, c } } +__global__ void PopulateIndices(int* indices, int size, int batch_size) { + int global_index = threadIdx.x + blockIdx.x * blockDim.x; + int index = global_index % size; + if (global_index < size * batch_size) { + indices[global_index] = index; + } +} + +void LaunchPopulateIndices(int* indices, int size, int batch_size, cudaStream_t stream) { + dim3 grid((batch_size * size / 256) + 1, 1, 1); + dim3 block(256, 1, 1); + PopulateIndices<<>>(indices, size, batch_size); +} + void LaunchFisherYatesKernel(float* logits, int* indices_buffer, int vocab_size, int batch_size, cudaStream_t stream) { int num_threads = 256; int num_blocks = batch_size; @@ -68,6 +81,6 @@ void LaunchFisherYatesKernel(float* logits, int* indices_buffer, int vocab_size, cudaMalloc((void **)&random_states, num_threads * sizeof(curandState)); std::span logits_span{logits, static_cast(vocab_size * batch_size)}; std::span indices{indices_buffer, static_cast(vocab_size * batch_size)}; - Generators::cuda::LaunchPopulateIndices(indices.data(), vocab_size, batch_size, stream); + LaunchPopulateIndices(indices.data(), vocab_size, batch_size, stream); FisherYatesKernel<<>>(logits_span.data(), indices.data(), vocab_size, random_states); -} \ No newline at end of file +} diff --git a/tools/ci_build/github/android/build_aar_package.py b/tools/ci_build/github/android/build_aar_package.py index 2151acabb..8b3b339ac 100644 --- a/tools/ci_build/github/android/build_aar_package.py +++ b/tools/ci_build/github/android/build_aar_package.py @@ -72,7 +72,7 @@ def _parse_build_settings(args): if build_settings["android_min_sdk_version"] > build_settings["android_target_sdk_version"]: raise ValueError( - f"android_min_sdk_version {build_settings['android_min_sdk_version']} cannot be larger than " + f"android_min_sdk_version {build_settings['android_min_sdk_version']} cannot be larger than " f"android_target_sdk_version {build_settings['android_target_sdk_version']}" ) @@ -95,9 +95,10 @@ def _build_aar(args): build_config = args.config aar_dir = intermediates_dir / "aar" / build_config jnilibs_dir = intermediates_dir / "jnilibs" / build_config - base_build_command = ([sys.executable, str(BUILD_PY), - f"--config={build_config}", f"--ort_home={str(args.ort_home)}"] + - build_settings["build_params"]) + base_build_command = [sys.executable, str(BUILD_PY), f"--config={build_config}"] + if args.ort_home: + base_build_command += [f"--ort_home={str(args.ort_home)}"] + base_build_command += build_settings["build_params"] header_files_path = None @@ -181,7 +182,7 @@ def parse_args(): help="Configuration to build.", ) - parser.add_argument("--ort_home", type=Path, default=REPO_ROOT / "ort", + parser.add_argument("--ort_home", type=Path, default=None, help="Path to an unzipped onnxruntime AAR.") parser.add_argument( diff --git a/tools/ci_build/github/apple/build_apple_framework.py b/tools/ci_build/github/apple/build_apple_framework.py new file mode 100644 index 000000000..511e94e4f --- /dev/null +++ b/tools/ci_build/github/apple/build_apple_framework.py @@ -0,0 +1,286 @@ +#!/usr/bin/env python3 +# Copyright (c) Microsoft Corporation. All rights reserved. +# Licensed under the MIT License. + +import argparse +import glob +import json +import os +import pathlib +import shutil +import subprocess +import sys + +SCRIPT_DIR = os.path.dirname(os.path.realpath(__file__)) +REPO_DIR = os.path.normpath(os.path.join(SCRIPT_DIR, "..", "..", "..", "..")) +BUILD_PY = os.path.join(REPO_DIR, "build.py") + +# We by default will build below 3 archs +DEFAULT_BUILD_OSX_ARCHS = { + "iphoneos": ["arm64"], + "iphonesimulator": ["arm64", "x86_64"], +} + + +def _parse_build_settings(args): + with open(args.build_settings_file.resolve()) as f: + build_settings_data = json.load(f) + + build_settings = {} + + build_settings["build_osx_archs"] = build_settings_data.get("build_osx_archs", DEFAULT_BUILD_OSX_ARCHS) + + if "build_params" in build_settings_data: + build_settings["build_params"] = build_settings_data["build_params"] + else: + raise ValueError("build_params is required in the build config file") + + return build_settings + + +# Build fat framework for all archs of a single sysroot +# For example, arm64 and x86_64 for iphonesimulator +def _build_for_apple_sysroot( + build_config, intermediates_dir, base_build_command, sysroot, archs, build_dynamic_framework +): + # paths of the onnxruntime libraries for different archs + ort_libs = [] + info_plist_path = "" + + # Build binary for each arch, one by one + for current_arch in archs: + build_dir_current_arch = os.path.join(intermediates_dir, sysroot + "_" + current_arch) + # Use MacOS SDK for Catalyst builds + apple_sysroot = "macosx" if sysroot == "macabi" else sysroot + build_command = [ + *base_build_command, + "--apple_sysroot=" + apple_sysroot, + "--osx_arch=" + current_arch, + "--build_dir=" + build_dir_current_arch, + ] + + # the actual build process for current arch + subprocess.run(build_command, shell=False, check=True, cwd=REPO_DIR) + + # get the compiled lib path + framework_dir = os.path.join( + build_dir_current_arch, + build_config, + build_config + "-" + sysroot, + ( + "onnxruntime-genai.framework" + if build_dynamic_framework + else os.path.join("static_framework", "onnxruntime-genai.framework") + ), + ) + ort_libs.append(os.path.join(framework_dir, "onnxruntime-genai")) + + # We only need to copy Info.plist, framework_info.json, and headers once since they are the same + if not info_plist_path: + info_plist_path = os.path.join(build_dir_current_arch, build_config, "Info.plist") + framework_info_path = os.path.join(build_dir_current_arch, build_config, "framework_info.json") + headers = glob.glob(os.path.join(framework_dir, "Headers", "*.h")) + + # manually create the fat framework + framework_dir = os.path.join(intermediates_dir, "frameworks", sysroot, "onnxruntime-genai.framework") + # remove the existing framework if any + if os.path.exists(framework_dir): + shutil.rmtree(framework_dir) + pathlib.Path(framework_dir).mkdir(parents=True, exist_ok=True) + + # copy the Info.plist, framework_info.json, and header files + + # macos requires different framework structure: + # https://developer.apple.com/library/archive/documentation/MacOSX/Conceptual/BPFrameworks/Concepts/FrameworkAnatomy.html + if sysroot == "macosx" or sysroot == "macabi": + # create headers and resources directory + header_dir = os.path.join(framework_dir, "Versions", "A", "Headers") + resource_dir = os.path.join(framework_dir, "Versions", "A", "Resources") + pathlib.Path(header_dir).mkdir(parents=True, exist_ok=True) + pathlib.Path(resource_dir).mkdir(parents=True, exist_ok=True) + + shutil.copy(info_plist_path, resource_dir) + shutil.copy(framework_info_path, os.path.dirname(framework_dir)) + + for _header in headers: + shutil.copy(_header, header_dir) + + # use lipo to create a fat ort library + lipo_command = ["lipo", "-create"] + lipo_command += ort_libs + lipo_command += ["-output", os.path.join(framework_dir, "Versions", "A", "onnxruntime-genai")] + subprocess.run(lipo_command, shell=False, check=True) + + # create the symbolic link + pathlib.Path(os.path.join(framework_dir, "Versions", "Current")).symlink_to("A", target_is_directory=True) + pathlib.Path(os.path.join(framework_dir, "Headers")).symlink_to( + "Versions/Current/Headers", target_is_directory=True + ) + pathlib.Path(os.path.join(framework_dir, "Resources")).symlink_to( + "Versions/Current/Resources", target_is_directory=True + ) + pathlib.Path(os.path.join(framework_dir, "onnxruntime-genai")).symlink_to("Versions/Current/onnxruntime-genai") + + else: + shutil.copy(info_plist_path, framework_dir) + shutil.copy(framework_info_path, os.path.dirname(framework_dir)) + header_dir = os.path.join(framework_dir, "Headers") + pathlib.Path(header_dir).mkdir(parents=True, exist_ok=True) + + for _header in headers: + shutil.copy(_header, header_dir) + + # use lipo to create a fat ort library + lipo_command = ["lipo", "-create"] + lipo_command += ort_libs + lipo_command += ["-output", os.path.join(framework_dir, "onnxruntime-genai")] + subprocess.run(lipo_command, shell=False, check=True) + + return framework_dir + + +def _merge_framework_info_files(files, output_file): + merged_data = {} + + for file in files: + with open(file) as f: + data = json.load(f) + for platform, values in data.items(): + assert platform not in merged_data, f"Duplicate platform value: {platform}" + merged_data[platform] = values + + with open(output_file, "w") as f: + json.dump(merged_data, f, indent=2) + + +def _build_package(args): + build_settings = _parse_build_settings(args) + build_dir = os.path.abspath(args.build_dir) + + # Temp dirs to hold building results + intermediates_dir = os.path.join(build_dir, "intermediates") + build_config = args.config + + # build framework for individual sysroot + framework_dirs = [] + framework_info_files_to_merge = [] + public_headers_path = "" + for sysroot in build_settings["build_osx_archs"]: + base_build_command = ( + [sys.executable, BUILD_PY] + + build_settings["build_params"]["base"] + + build_settings["build_params"][sysroot] + + ["--config=" + build_config] + ) + + if args.ort_home: + base_build_command += ['--ort_home', args.ort_home] + + if args.include_ops_by_config is not None: + base_build_command += ["--include_ops_by_config=" + str(args.include_ops_by_config.resolve())] + + if args.path_to_protoc_exe is not None: + base_build_command += ["--path_to_protoc_exe=" + str(args.path_to_protoc_exe.resolve())] + + framework_dir = _build_for_apple_sysroot( + build_config, + intermediates_dir, + base_build_command, + sysroot, + build_settings["build_osx_archs"][sysroot], + args.build_dynamic_framework, + ) + framework_dirs.append(framework_dir) + + curr_framework_info_path = os.path.join(os.path.dirname(framework_dir), "framework_info.json") + framework_info_files_to_merge.append(curr_framework_info_path) + + # headers for each sysroot are the same, pick one of them + if not public_headers_path: + public_headers_path = os.path.join(os.path.dirname(framework_dir), "onnxruntime-genai.framework", "Headers") + + # create the folder for xcframework and copy the LICENSE and framework_info.json file + xcframework_dir = os.path.join(build_dir, "framework_out") + pathlib.Path(xcframework_dir).mkdir(parents=True, exist_ok=True) + shutil.copy(os.path.join(REPO_DIR, "LICENSE"), xcframework_dir) + shutil.copytree(public_headers_path, os.path.join(xcframework_dir, "Headers"), dirs_exist_ok=True, symlinks=True) + _merge_framework_info_files(framework_info_files_to_merge, os.path.join(build_dir, "xcframework_info.json")) + + # remove existing xcframework if any + xcframework_path = os.path.join(xcframework_dir, "onnxruntime-genai.xcframework") + if os.path.exists(xcframework_path): + shutil.rmtree(xcframework_path) + + # Assemble the final xcframework + build_xcframework_cmd = ["xcrun", "xcodebuild", "-create-xcframework", "-output", xcframework_path] + for framework_dir in framework_dirs: + build_xcframework_cmd.extend(["-framework", framework_dir]) + + subprocess.run(build_xcframework_cmd, shell=False, check=True, cwd=REPO_DIR) + + +def parse_args(): + parser = argparse.ArgumentParser( + os.path.basename(__file__), + description="""Create iOS framework and podspec for one or more osx_archs (xcframework) + and building properties specified in the given build config file, see + tools/ci_build/github/apple/default_full_apple_framework_build_settings.json for details. + The output of the final xcframework and podspec can be found under [build_dir]/framework_out. + Please note, this building script will only work on macOS. + """, + ) + + parser.add_argument( + "--build_dir", + type=pathlib.Path, + default=os.path.join(REPO_DIR, "build/apple_framework"), + help="Provide the root directory for build output", + ) + + parser.add_argument( + "--include_ops_by_config", + type=pathlib.Path, + help="Include ops from config file. See /docs/Reduced_Operator_Kernel_build.md for more information.", + ) + + parser.add_argument( + "--config", + type=str, + default="Release", + choices=["Debug", "MinSizeRel", "Release", "RelWithDebInfo"], + help="Configuration to build.", + ) + + parser.add_argument( + "--build_dynamic_framework", + action="store_true", + help="Build Dynamic Framework (default is build static framework).", + ) + + parser.add_argument( + "build_settings_file", type=pathlib.Path, help="Provide the file contains settings for building iOS framework" + ) + + parser.add_argument("--path_to_protoc_exe", type=pathlib.Path, help="Path to protoc exe.") + parser.add_argument("--ort_home", default=None, type=pathlib.Path, help="Root directory of onnxruntime.") + + args = parser.parse_args() + + if not args.build_settings_file.resolve().is_file(): + raise FileNotFoundError(f"Build config file {args.build_settings_file.resolve()} is not a file.") + + if args.include_ops_by_config is not None: + include_ops_by_config_file = args.include_ops_by_config.resolve() + if not include_ops_by_config_file.is_file(): + raise FileNotFoundError(f"Include ops config file {include_ops_by_config_file} is not a file.") + + return args + + +def main(): + args = parse_args() + _build_package(args) + + +if __name__ == "__main__": + main() diff --git a/tools/ci_build/github/apple/default_full_apple_framework_build_settings.json b/tools/ci_build/github/apple/default_full_apple_framework_build_settings.json new file mode 100644 index 000000000..b5b1f9dbc --- /dev/null +++ b/tools/ci_build/github/apple/default_full_apple_framework_build_settings.json @@ -0,0 +1,36 @@ +{ + "build_osx_archs": { + "iphoneos": [ + "arm64" + ], + "iphonesimulator": [ + "arm64", + "x86_64" + ], + "macosx": [ + "arm64", + "x86_64" + ] + }, + "build_params": { + "base": [ + "--parallel", + "--cmake_generator", + "Xcode", + "--build_apple_framework", + "--skip_tests" + ], + "macosx": [ + "--macos=MacOSX", + "--apple_deploy_target=11.0" + ], + "iphoneos": [ + "--ios", + "--apple_deploy_target=13.0" + ], + "iphonesimulator": [ + "--ios", + "--apple_deploy_target=13.0" + ] + } +} diff --git a/tools/ci_build/github/apple/default_full_ios_framework_build_settings.json b/tools/ci_build/github/apple/default_full_ios_framework_build_settings.json new file mode 100644 index 000000000..ee9a9f82a --- /dev/null +++ b/tools/ci_build/github/apple/default_full_ios_framework_build_settings.json @@ -0,0 +1,38 @@ +{ + "build_osx_archs": { + "iphoneos": [ + "arm64" + ], + "iphonesimulator": [ + "arm64", + "x86_64" + ], + "macabi": [ + "arm64", + "x86_64" + ] + }, + "build_params": { + "base": [ + "--parallel", + "--build_apple_framework", + "--skip_tests" + ], + "iphoneos": [ + "--ios", + "--cmake_generator", + "Xcode", + "--apple_deploy_target=13.0" + ], + "iphonesimulator": [ + "--ios", + "--cmake_generator", + "Xcode", + "--apple_deploy_target=13.0" + ], + "macabi":[ + "--macos=Catalyst", + "--apple_deploy_target=14.0" + ] + } +} diff --git a/tools/ci_build/github/apple/framework_info.json.template b/tools/ci_build/github/apple/framework_info.json.template new file mode 100644 index 000000000..1f7eeb594 --- /dev/null +++ b/tools/ci_build/github/apple/framework_info.json.template @@ -0,0 +1,6 @@ +{ + "@PLATFORM_NAME@": { + "APPLE_DEPLOYMENT_TARGET": "@CMAKE_OSX_DEPLOYMENT_TARGET@", + "WEAK_FRAMEWORK": "@APPLE_WEAK_FRAMEWORK@" + } +} diff --git a/tools/nuget/generate_nuspec_for_native_nuget.py b/tools/nuget/generate_nuspec_for_native_nuget.py index 5ea725e17..3bb5050eb 100644 --- a/tools/nuget/generate_nuspec_for_native_nuget.py +++ b/tools/nuget/generate_nuspec_for_native_nuget.py @@ -97,13 +97,13 @@ def generate_release_notes(line_list): def generate_dependencies(xml_text, package_version, ort_package_name, ort_package_version): xml_text.append("") - target_frameworks = ["NETSTANDARD" , "NETCOREAPP", "NETFRAMEWORK"] + target_frameworks = ["NETSTANDARD" , "NETCOREAPP", "NETFRAMEWORK", "net8.0-android31.0", "net8.0-ios15.4", "net8.0-maccatalyst14.0"] for framework in target_frameworks: xml_text.append(f'') xml_text.append(f'') xml_text.append(f'') if ort_package_name.endswith("DirectML"): - xml_text.append(f'') + xml_text.append(f'') xml_text.append("") xml_text.append("") @@ -122,21 +122,40 @@ def add_native_artifact_if_exists(xml_lines, runtime, artifact): f'' ) - runtimes = ["win-x64", "win-arm64", "linux-x64"] + runtimes = ["win-x64", "win-arm64", "linux-x64", "osx-x64", "osx-arm64", "ios", "android"] for runtime in runtimes: if runtime.startswith("win"): add_native_artifact_if_exists(lines, runtime, "onnxruntime-genai.lib") add_native_artifact_if_exists(lines, runtime, "onnxruntime-genai.dll") + add_native_artifact_if_exists(lines, runtime, "onnxruntime-genai-cuda.lib") + add_native_artifact_if_exists(lines, runtime, "onnxruntime-genai-cuda.dll") add_native_artifact_if_exists(lines, runtime, "d3d12core.dll") - if runtime.startswith("linux"): + elif runtime.startswith("linux"): add_native_artifact_if_exists(lines, runtime, "libonnxruntime-genai.so") + add_native_artifact_if_exists(lines, runtime, "libonnxruntime-genai-cuda.so") + elif runtime.startswith("osx"): + add_native_artifact_if_exists(lines, runtime, "libonnxruntime-genai.dylib") + elif runtime.startswith("ios"): + add_native_artifact_if_exists(lines, runtime, "onnxruntime-genai.xcframework.zip") + elif runtime.startswith("android"): + add_native_artifact_if_exists(lines, runtime, "onnxruntime-genai.aar") # targets for dotnet in ["netstandard2.0", "net8.0", "native"]: - lines.append(f'') - lines.append(f'') - # include + lines.append(f'') + lines.append(f'') + + # mobile targets + lines.append(f'') + lines.append(f'') + + lines.append(f'') + lines.append(f'') + lines.append(f'') + lines.append(f'') + + # include lines.append(f'') lines.append('') diff --git a/tools/python/model_validation/README.md b/tools/python/model_validation/README.md new file mode 100644 index 000000000..1823d4e1a --- /dev/null +++ b/tools/python/model_validation/README.md @@ -0,0 +1,49 @@ +# ONNX Runtime GenAI Model Validation Tutorial + +## Background +Gen-AI serves as an API framework designed to operate generative models via ONNX Runtime. With the expansion in the variety of models, there's a growing need for a tool chain that can effectively assess the compatibility between Gen-AI and different model variants. + +## Setup and Requirements +Clone this repository and navigate to the `tools/python/model_validation folder`. + +```bash +git clone https://github.com/microsoft/onnxruntime-genai.git +cd tools/python/model_validation +pip install -r requirements.txt +``` + +Ensure you log into HuggingFace. + +More about the HuggingFace CLI [here](https://huggingface.co/docs/huggingface_hub/main/en/guides/cli) +```bash +huggingface-cli login +``` + +Within the model_validation directory, you'll locate the script named validation_tool.py, alongside the validation_config.json configuration file and a README.md document. + +### Current Supported Model Architectures +* Gemma +* Llama +* Mistral +* Phi (language + vision) +* Qwen + +## Usage +### Steps to Configure +1. Input the name of the Hugging Face model you're using into the validation_config.json file. You can find a list of supported models via this link: (https://huggingface.co) + + * Also, add the chat_template associated with your model. This is located in the tokenizer_config.json file on the Hugging Face website. Make sure to replace ``` message['content'] ``` with ``` {input} ```. + * Discover more about chat templates [here](https://huggingface.co/docs/transformers/main/chat_templating) + + +2. Specify the path for the output folder you prefer, along with the precision and execution provider details. + +After the model has been created, it will be located in the path_to_output_folder/{model_name} directory. This directory will contain both the ONNX model data and the tokenizer. + +### Run the Model Validation Script +```bash +python validation_tool.py -j validation_config.json +``` + +### Output +Once the tool has been executed successfully, it generates a file named model_validation.csv. This file contains the Model Name, the validation tool's completion status, and details of any exceptions or failures encountered by the model during the validation process. diff --git a/tools/python/model_validation/requirements.txt b/tools/python/model_validation/requirements.txt new file mode 100644 index 000000000..393080317 --- /dev/null +++ b/tools/python/model_validation/requirements.txt @@ -0,0 +1,13 @@ +coloredlogs +flatbuffers +numpy<2 +packaging +protobuf>=5.28.2 +sympy +pytest +onnx +transformers +huggingface_hub[cli] +onnxruntime-genai +sentencepiece +pandas \ No newline at end of file diff --git a/tools/python/model_validation/validation_config.json b/tools/python/model_validation/validation_config.json new file mode 100644 index 000000000..c7259481d --- /dev/null +++ b/tools/python/model_validation/validation_config.json @@ -0,0 +1,41 @@ +{ + "models": [ + { + "name": "Qwen/Qwen2.5-7B-Instruct", + "chat_template": "<|im_start|>\n <|user|> \n {input} <|im_end>\n'<|im_start|>assistant\n" + }, + { + "name": "meta-llama/Llama-2-7b-chat-hf", + "chat_template": "[INST]<>\n{input}<>[INST]" + }, + { + "name": "mistralai/Mistral-7B-Instruct-v0.3", + "chat_template": " \"[INST] \" + {input} + \"[/INST]\"" + }, + { + "name": "microsoft/Phi-3.5-mini-instruct", + "chat_template": "<|user|>\n{input} <|end|>\n<|assistant|>" + }, + { + "name": "google/gemma-2-2b-it", + "chat_template": "'' + <|user|> '\n' + {input} + '\n" + } + ], + "inputs": [ + "Provide a detailed analysis as to why the University of Southern California is better than the University of California, Los Angeles." + ], + "output_directory": "", + "cache_directory": "", + "precision": "", + "execution_provider": "", + "verbose": false, + "search_options": { + "max_length": 512, + "min_length": 0, + "do_sample": false, + "top_p": 0.0, + "top_k": 1, + "temperature": 1.0, + "repetition_penalty": 1.0 + } +} \ No newline at end of file diff --git a/tools/python/model_validation/validation_tool.py b/tools/python/model_validation/validation_tool.py new file mode 100644 index 000000000..fad36aa36 --- /dev/null +++ b/tools/python/model_validation/validation_tool.py @@ -0,0 +1,122 @@ +import onnxruntime_genai as og +import argparse +from onnxruntime_genai.models.builder import create_model +import json +import os +import pandas as pd + +def create_table(output): + df = pd.DataFrame(output, columns=['Model Name', 'Validation Completed', 'Exceptions / Failures']) + return df + +def validate_model(args, model_dict, model_dir): + if args["verbose"]: print("Loading model...") + + model = og.Model(f'{model_dir}') + + if args["verbose"]: print("Model loaded") + tokenizer = og.Tokenizer(model) + tokenizer_stream = tokenizer.create_stream() + + if args["verbose"]: print("Tokenizer created") + if args["verbose"]: print() + + chat_template = model_dict["chat_template"] + + search_options = args["search_options"] + + for text in args["inputs"]: + + complete_text = '' + + prompt = f'{chat_template.format(input=text)}' + + input_tokens = tokenizer.encode(prompt) + + params = og.GeneratorParams(model) + params.set_search_options(**search_options) + params.input_ids = input_tokens + + generator = og.Generator(model, params) + if args["verbose"]: print("Generator created") + + if args["verbose"]: print("Running generation loop ...") + + print() + print("Output: ", end='', flush=True) + + generation_successful = True + + try: + while not generator.is_done(): + generator.compute_logits() + generator.generate_next_token() + + new_token = generator.get_next_tokens()[0] + + value_to_save = tokenizer_stream.decode(new_token) + + complete_text += value_to_save + + print(tokenizer_stream.decode(new_token), end='', flush=True) + + except KeyboardInterrupt: + print(" --control+c pressed, aborting generation--") + generation_successful = False + except Exception as e: + print(f"An error occurred: {e}") + generation_successful = False + + with open(f'{model_dir}/output.txt', 'a', encoding='utf-8') as file: + file.write(complete_text) + + # Delete the generator to free the captured graph for the next generator, if graph capture is enabled + del generator + + return generation_successful + +if __name__ == "__main__": + parser = argparse.ArgumentParser(argument_default=argparse.SUPPRESS, description="End-to-end AI Question/Answer example for gen-ai") + parser.add_argument('-j', '--json', type=str, required=True, help='Path to the JSON file containing the arguments') + args = parser.parse_args() + + with open(args.json, 'r') as file: + args = json.load(file) + + os.makedirs(args["output_directory"], exist_ok=True) + os.makedirs(args["cache_directory"], exist_ok=True) + + output = [] + + validation_complete = False + e = None + exception = False + + for model_dict in args["models"]: + + print(f"We are validating {model_dict['name']}") + adjusted_model = model_dict["name"].replace("/", "_") + + output_path = args["output_directory"] + f'/{adjusted_model}' + cache_path = args["cache_directory"] + f'/{adjusted_model}' + + try: + create_model(model_dict["name"], '', output_path, args["precision"], args["execution_provider"], cache_path) + except Exception as e: + print(f'Failure after create model {e}') + output.append([model_dict["name"], validation_complete, e]) + exception = True + continue + try: + validation_complete = validate_model(args, model_dict, output_path) + except Exception as e: + print(f'Failure after validation model {e}') + exception = True + output.append([model_dict["name"], validation_complete, e]) + + if not exception: + output.append([model_dict["name"], validation_complete, e]) + + df = create_table(output) + + df.to_csv("validation_summary.csv") diff --git a/tools/python/util/__init__.py b/tools/python/util/__init__.py index 1d06d6033..aabaf9539 100644 --- a/tools/python/util/__init__.py +++ b/tools/python/util/__init__.py @@ -1,7 +1,8 @@ -# Copyright (c) Microsoft Corporation. All rights reserved. -# Licensed under the MIT License. - -from .logger import get_logger -from .run import run -from .android import * -from .platform_helpers import is_linux, is_mac, is_windows +# Copyright (c) Microsoft Corporation. All rights reserved. +# Licensed under the MIT License. + +from .logger import get_logger +from .run import run +from .android import * +from .platform_helpers import is_linux, is_mac, is_windows +from .dependency_resolver import download_dependencies, copy_dependencies diff --git a/tools/python/util/dependency_resolver.py b/tools/python/util/dependency_resolver.py new file mode 100644 index 000000000..f98640d15 --- /dev/null +++ b/tools/python/util/dependency_resolver.py @@ -0,0 +1,180 @@ +# Copyright (c) Microsoft Corporation. All rights reserved. +# Licensed under the MIT License. + +from __future__ import annotations + +import platform +import shutil +from os import PathLike, listdir +from os.path import isfile +from pathlib import Path + +import requests + +from .logger import get_logger +from .platform_helpers import is_linux, is_windows + +_log = get_logger("util.dependency_resolver") + + +def _download_ort( + use_cuda: bool, use_rocm: bool, use_dml: bool, destination_dir: PathLike +): + def _lib_path(): + plat = "linux" if is_linux() else "win" if is_windows() else "osx" + mach = None + if platform.machine().lower() == "x86_64" or platform.machine().lower() == "amd64": + mach = "x64" + elif platform.machine().lower() == "aarch64" or platform.machine().lower() == "arm64": + mach = "arm64" + else: + raise NotImplementedError( + f"Unsupported machine architecture: {platform.machine()}" + ) + + return destination_dir / "ort" / "runtimes" / (plat + "-" + mach) / "native" + + package_name = None + if use_cuda: + if is_linux(): + package_name = "Microsoft.ML.OnnxRuntime.Gpu.Linux" + elif is_windows(): + package_name = "Microsoft.ML.OnnxRuntime.Gpu.Windows" + else: + raise NotImplementedError("ORT with CUDA is not supported on this platform") + elif use_rocm: + package_name = "Microsoft.ML.OnnxRuntime.Rocm" + elif use_dml: + package_name = "Microsoft.ML.OnnxRuntime.DirectML" + else: + package_name = "Microsoft.ML.OnnxRuntime" + + package_path = destination_dir / f"{package_name}.zip" + if package_path.exists(): + _log.info(f"Package {package_name} already downloaded") + return _lib_path() + + organization = "aiinfra" + feed_name = "ORT-Nightly" + version_fetch_url = f"https://feeds.dev.azure.com/{organization}/PublicPackages/_apis/packaging/Feeds/{feed_name}/packages?packageNameQuery={package_name}&api-version=6.0-preview.1" + + version = requests.get(version_fetch_url).json()["value"][0]["versions"][0][ + "normalizedVersion" + ] + feed_project = "2692857e-05ef-43b4-ba9c-ccf1c22c437c" + feed_id = "7982ae20-ed19-4a35-a362-a96ac99897b7" + package_url = f"https://pkgs.dev.azure.com/{organization}/{feed_project}/_apis/packaging/feeds/{feed_id}/nuget/packages/{package_name}/versions/{version}/content?api-version=6.0-preview.1" + + _log.info(f"Downloading {package_name} version {version}") + with open(package_path, "wb") as f: + f.write(requests.get(package_url).content) + + unpacked_dir = destination_dir / "ort" + shutil.unpack_archive(package_path, unpacked_dir) + + return _lib_path() + + +def _download_dml(destination_dir: PathLike): + def _lib_path(): + mach = None + if platform.machine().lower() == "x86_64" or platform.machine().lower() == "amd64": + mach = "x64" + elif platform.machine().lower() == "aarch64" or platform.machine().lower() == "arm64": + mach = "arm64" + else: + raise NotImplementedError( + f"Unsupported machine architecture: {platform.machine()}" + ) + + return destination_dir / "dml" / "bin" / (mach + "-win") / "DirectML.dll" + + dml_version = "1.15.2" + dml_package_name = "Microsoft.AI.DirectML" + dml_package_url = ( + f"https://www.nuget.org/api/v2/package/{dml_package_name}/{dml_version}" + ) + package_path = destination_dir / f"{dml_package_name}.zip" + if package_path.exists(): + _log.info(f"Package {dml_package_name} already downloaded") + return _lib_path() + + _log.info(f"Downloading {dml_package_name} version {dml_version}") + with open(package_path, "wb") as f: + f.write(requests.get(dml_package_url).content) + + unpacked_dir = destination_dir / "dml" + shutil.unpack_archive(package_path, unpacked_dir) + + return _lib_path() + + +def _download_d3d12(destination_dir: PathLike): + def _lib_path(): + mach = None + if platform.machine().lower() == "x86_64" or platform.machine().lower() == "amd64": + mach = "x64" + elif platform.machine().lower() == "aarch64" or platform.machine().lower() == "arm64": + mach = "arm64" + else: + raise NotImplementedError( + f"Unsupported machine architecture: {platform.machine()}" + ) + + return ( + destination_dir + / "d3d12" + / "build" + / "native" + / "bin" + / mach + / "D3D12Core.dll" + ) + + d3d12_version = "1.614.1" + d3d12_package_name = "Microsoft.Direct3D.D3D12" + d3d12_package_url = ( + f"https://www.nuget.org/api/v2/package/{d3d12_package_name}/{d3d12_version}" + ) + package_path = destination_dir / f"{d3d12_package_name}.zip" + if package_path.exists(): + _log.info(f"Package {d3d12_package_name} already downloaded") + return _lib_path() + + _log.info(f"Downloading {d3d12_package_name} version {d3d12_version}") + with open(package_path, "wb") as f: + f.write(requests.get(d3d12_package_url).content) + + unpacked_dir = destination_dir / "d3d12" + shutil.unpack_archive(package_path, unpacked_dir) + + return _lib_path() + + +def download_dependencies( + use_cuda: bool, use_rocm: bool, use_dml: bool, destination_dir: PathLike +): + dependencies_dir = destination_dir / "dependencies" + if not dependencies_dir.exists(): + dependencies_dir.mkdir(parents=True) + + ort_lib_dir = _download_ort(use_cuda, use_rocm, use_dml, dependencies_dir) + libs = listdir(ort_lib_dir) + for file_name in libs: + if isfile(Path(ort_lib_dir) / file_name): + shutil.copy(Path(ort_lib_dir) / file_name, destination_dir) + + if use_dml: + dml_lib_path = _download_dml(dependencies_dir) + shutil.copy(dml_lib_path, destination_dir) + + d3d12_lib_path = _download_d3d12(dependencies_dir) + shutil.copy(d3d12_lib_path, destination_dir) + + return dependencies_dir + + +def copy_dependencies(lib_dir: PathLike, destination_dir: PathLike): + libs = listdir(lib_dir) + for file_name in libs: + shutil.copy(Path(lib_dir) / file_name, destination_dir)